From e9c11d22c614022f10da2039024bede11f9c495b Mon Sep 17 00:00:00 2001 From: hrodmn Date: Thu, 23 May 2024 15:55:40 -0500 Subject: [PATCH 01/48] fill out admin details --- .github/ISSUE_TEMPLATE/bug_report.md | 2 +- CHANGELOG.md | 2 +- LICENSE | 2 +- README-template.md | 24 +++++++++---------- docker/Dockerfile | 18 +++++++------- docker/build | 4 ++-- docker/cibuild | 4 ++-- docker/console | 4 ++-- docker/lint | 4 ++-- docker/stac | 4 ++-- docker/test | 4 ++-- docs/example.ipynb | 8 +++---- environment.yml | 2 +- pyproject.toml | 12 +++++----- scripts/test | 2 +- scripts/update-examples | 6 ++--- .../{ephemeral => noaa_hrrr}/__init__.py | 6 ++--- .../{ephemeral => noaa_hrrr}/commands.py | 18 +++++++------- .../{ephemeral => noaa_hrrr}/stac.py | 0 tests/test_commands.py | 4 ++-- tests/test_stac.py | 2 +- 21 files changed, 66 insertions(+), 66 deletions(-) rename src/stactools/{ephemeral => noaa_hrrr}/__init__.py (52%) rename src/stactools/{ephemeral => noaa_hrrr}/commands.py (70%) rename src/stactools/{ephemeral => noaa_hrrr}/stac.py (100%) diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md index a955eb7..24375a3 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.md +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -15,7 +15,7 @@ Steps to reproduce the behavior: > Ex. > -> 1. Install stactools-ephemeral +> 1. Install stactools-noaa-hrrr > 2. Run `scripts/test` > 3. See error diff --git a/CHANGELOG.md b/CHANGELOG.md index 0c7a6bc..b18ebcf 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -25,4 +25,4 @@ number as needed. - Nothing. -[Unreleased]: +[Unreleased]: diff --git a/LICENSE b/LICENSE index 9f4fda8..cc74381 100644 --- a/LICENSE +++ b/LICENSE @@ -1,6 +1,6 @@ This software is licensed under the Apache 2 license, quoted below. -Copyright 2022 COMPANY [COMPANY WEBPAGE URL] +Copyright 2024 Development Seed [https://developmentseed.org/] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of diff --git a/README-template.md b/README-template.md index 13459f4..e207bcd 100644 --- a/README-template.md +++ b/README-template.md @@ -1,19 +1,19 @@ -# stactools-ephemeral +# stactools-noaa-hrrr -[![PyPI](https://img.shields.io/pypi/v/stactools-ephemeral?style=for-the-badge)](https://pypi.org/project/stactools-ephemeral/) -![GitHub Workflow Status (with event)](https://img.shields.io/github/actions/workflow/status/stactools-packages/ephemeral/continuous-integration.yml?style=for-the-badge) +[![PyPI](https://img.shields.io/pypi/v/stactools-noaa-hrrr?style=for-the-badge)](https://pypi.org/project/stactools-noaa-hrrr/) +![GitHub Workflow Status (with event)](https://img.shields.io/github/actions/workflow/status/stactools-packages/noaa-hrrr/continuous-integration.yml?style=for-the-badge) -- Name: ephemeral -- Package: `stactools.ephemeral` -- [stactools-ephemeral on PyPI](https://pypi.org/project/stactools-ephemeral/) +- Name: noaa-hrrr +- Package: `stactools.noaa_hrrr` +- [stactools-noaa-hrrr on PyPI](https://pypi.org/project/stactools-noaa-hrrr/) - Owner: @githubusername - [Dataset homepage](http://example.com) - STAC extensions used: - [proj](https://github.com/stac-extensions/projection/) - Extra fields: - - `ephemeral:custom`: A custom attribute -- [Browse the example in human-readable form](https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/stactools-packages/ephemeral/main/examples/collection.json) -- [Browse a notebook demonstrating the example item and collection](https://github.com/stactools-packages/ephemeral/tree/main/docs/example.ipynb) + - `noaa-hrrr:custom`: A custom attribute +- [Browse the example in human-readable form](https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/stactools-packages/noaa-hrrr/main/examples/collection.json) +- [Browse a notebook demonstrating the example item and collection](https://github.com/stactools-packages/noaa-hrrr/tree/main/docs/example.ipynb) A short description of the package and its usage. @@ -25,7 +25,7 @@ A short description of the package and its usage. ## Installation ```shell -pip install stactools-ephemeral +pip install stactools-noaa-hrrr ``` ## Command-line usage @@ -33,10 +33,10 @@ pip install stactools-ephemeral Description of the command line functions ```shell -stac ephemeral create-item source destination +stac noaa-hrrr create-item source destination ``` -Use `stac ephemeral --help` to see all subcommands and options. +Use `stac noaa-hrrr --help` to see all subcommands and options. ## Contributing diff --git a/docker/Dockerfile b/docker/Dockerfile index 4491aef..a5a7d99 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -9,23 +9,23 @@ RUN conda update conda && \ FROM base as dependencies ENV PATH="/opt/venv/bin:$PATH" -WORKDIR /opt/stactools-ephemeral +WORKDIR /opt/stactools-noaa-hrrr COPY --from=base /opt/conda /opt/conda COPY pyproject.toml ./ -COPY src/stactools/ephemeral/__init__.py src/stactools/ephemeral/ +COPY src/stactools/noaa_hrrr/__init__.py src/stactools/noaa_hrrr/ RUN apt-get -y -q update \ && apt-get -y -q install build-essential \ && rm -rf /var/lib/apt/lists/ RUN python -m venv /opt/venv RUN pip install . \ && ls /opt/venv \ - && rm -r /opt/venv/lib/python3.11/site-packages/stactools/ephemeral + && rm -r /opt/venv/lib/python3.11/site-packages/stactools/noaa_hrrr FROM dependencies as builder ENV PATH="/opt/venv/bin:$PATH" -WORKDIR /opt/stactools-ephemeral +WORKDIR /opt/stactools-noaa-hrrr COPY --from=base /opt/conda /opt/conda COPY --from=dependencies /opt/venv /opt/venv COPY pyproject.toml ./ @@ -33,14 +33,14 @@ COPY src ./src RUN pip install -U pip \ && pip install . WORKDIR / -RUN rm -rf /opt/stactools-ephemeral -CMD [ "stac", "ephemeralcmd" ] +RUN rm -rf /opt/stactools-noaa-hrrr +CMD [ "stac", "noaahrrr" ] FROM dependencies as dev-dependencies ENV PATH="/opt/venv/bin:$PATH" -WORKDIR /opt/stactools-ephemeral +WORKDIR /opt/stactools-noaa-hrrr COPY --from=dependencies /opt/venv /opt/venv COPY pyproject.toml . RUN pip install -e '.[dev]' \ @@ -50,8 +50,8 @@ RUN pip install -e '.[dev]' \ FROM dev-dependencies as dev-builder ENV PATH="/opt/venv/bin:$PATH" -WORKDIR /opt/stactools-ephemeral +WORKDIR /opt/stactools-noaa-hrrr COPY --from=base /opt/conda /opt/conda COPY --from=dependencies /opt/venv /opt/venv COPY . . -CMD [ "stac", "ephemeralcmd" ] +CMD [ "stac", "noaahrrr" ] diff --git a/docker/build b/docker/build index da2e90d..ba8b1d0 100755 --- a/docker/build +++ b/docker/build @@ -38,12 +38,12 @@ if [ "${BASH_SOURCE[0]}" = "${0}" ]; then usage else docker build $PULL \ - -t stactools-packages/ephemeral:latest \ + -t stactools-packages/noaa-hrrr:latest \ -f docker/Dockerfile \ --target builder \ . docker build $PULL \ - -t stactools-packages/ephemeral:dev \ + -t stactools-packages/noaa-hrrr:dev \ -f docker/Dockerfile \ --target dev-builder \ . diff --git a/docker/cibuild b/docker/cibuild index 96c6e68..db9241a 100755 --- a/docker/cibuild +++ b/docker/cibuild @@ -15,11 +15,11 @@ Runs CI in the docker dev container. if [ "${BASH_SOURCE[0]}" = "${0}" ]; then docker build $PULL \ - -t stactools-packages/ephemeral:dev \ + -t stactools-packages/noaa-hrrr:dev \ -f docker/Dockerfile \ --target dev-builder \ . docker run --rm \ --entrypoint scripts/cibuild \ - stactools-packages/ephemeral:dev + stactools-packages/noaa-hrrr:dev fi diff --git a/docker/console b/docker/console index df84631..3029020 100755 --- a/docker/console +++ b/docker/console @@ -15,8 +15,8 @@ Run a console in a docker container with all prerequisites installed. if [ "${BASH_SOURCE[0]}" = "${0}" ]; then docker run --rm -it \ - -v "$(pwd)":/opt/stactools-ephemeral \ + -v "$(pwd)":/opt/stactools-noaa-hrrr \ -p 8000:8000 \ --entrypoint /bin/bash \ - stactools-packages/ephemeral:dev + stactools-packages/noaa-hrrr:dev fi diff --git a/docker/lint b/docker/lint index afd37ad..d0735d2 100755 --- a/docker/lint +++ b/docker/lint @@ -15,7 +15,7 @@ Run code formatters in a docker container with all prerequisites installed. if [ "${BASH_SOURCE[0]}" = "${0}" ]; then docker run --rm -it \ - -v "$(pwd)":/opt/stactools-ephemeral \ + -v "$(pwd)":/opt/stactools-noaa-hrrr \ --entrypoint scripts/lint \ - stactools-packages/ephemeral:dev + stactools-packages/noaa-hrrr:dev fi diff --git a/docker/stac b/docker/stac index b800f1e..9278ff2 100755 --- a/docker/stac +++ b/docker/stac @@ -17,6 +17,6 @@ will be reflected in the execution. if [ "${BASH_SOURCE[0]}" = "${0}" ]; then docker run --rm -it \ - -v "$(pwd)":/opt/stactools-ephemeral \ - stactools-packages/ephemeral:dev "${@}" + -v "$(pwd)":/opt/stactools-noaa-hrrr \ + stactools-packages/noaa-hrrr:dev "${@}" fi diff --git a/docker/test b/docker/test index 4175aca..49d5e2a 100755 --- a/docker/test +++ b/docker/test @@ -15,7 +15,7 @@ Run linting and tests in a docker container with all prerequisites installed. if [ "${BASH_SOURCE[0]}" = "${0}" ]; then docker run --rm -it \ - -v "$(pwd)":/opt/stactools-ephemeral \ + -v "$(pwd)":/opt/stactools-noaa-hrrr \ --entrypoint scripts/test \ - stactools-packages/ephemeral:dev + stactools-packages/noaa-hrrr:dev fi diff --git a/docs/example.ipynb b/docs/example.ipynb index 1b3024b..745e3c4 100644 --- a/docs/example.ipynb +++ b/docs/example.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# stactools-ephemeral\n", + "# stactools-noaa-hrrr\n", "\n", "This is a small notebook demonstrating use of this package and its generated items and collections.\n", "It is intended to be executed from the root of this repository, since it relies on files that have been checked into this repo." @@ -1259,7 +1259,7 @@ "from pathlib import Path\n", "from pystac import Collection, Item\n", "from IPython.display import display\n", - "import stactools.ephemeral.stac\n", + "import stactools.noaa_hrrr.stac\n", "\n", "root = Path().cwd().parent\n", "collection = Collection.from_file(str(root / \"examples\" / \"collection.json\"))\n", @@ -1595,8 +1595,8 @@ ], "source": [ "tif_path = root / \"tests\" / \"data\" / \"asset.tif\"\n", - "item = stactools.ephemeral.stac.create_item(str(tif_path))\n", - "collection = stactools.ephemeral.stac.create_collection()\n", + "item = stactools.noaa_hrrr.stac.create_item(str(tif_path))\n", + "collection = stactools.noaa_hrrr.stac.create_collection()\n", "collection.add_item(item)\n", "display(collection)" ] diff --git a/environment.yml b/environment.yml index 1d92b42..dbb51fb 100644 --- a/environment.yml +++ b/environment.yml @@ -1,4 +1,4 @@ -name: stactools-ephemeral +name: stactools-noaa-hrrr channels: - conda-forge - defaults diff --git a/pyproject.toml b/pyproject.toml index b71978d..70b32a2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,10 +1,10 @@ [project] -name = "stactools-ephemeral" +name = "stactools-noaa-hrrr" version = "0.1.0" -description = "PROVIDE DESCRIPTION HERE" +description = "NOAA High-Resolution Rapid Refresh (HRRR) stactools package" readme = "README.md" -authors = [{ name = "Your name here", email = "your-email@example.com" }] -maintainers = [{ name = "Your name here", email = "your-email@example.com" }] +authors = [{ name = "Henry Rodman", email = "henry@developmentseed.org" }] +maintainers = [{ name = "Henry Rodman", email = "henry@developmentseed.org" }] keywords = ["stactools", "pystac", "catalog", "STAC"] license = { text = "Apache-2.0" } classifiers = [ @@ -34,8 +34,8 @@ dev = [ docs = ["pystac~=1.8", "ipykernel~=6.25", "jinja2~=3.1"] [project.urls] -Github = "https://github.com/stactools-packges/ephemeral" -Issues = "https://github.com/stactools-packges/ephemeral/issues" +Github = "https://github.com/stactools-packges/noaa-hrrr" +Issues = "https://github.com/stactools-packges/noaa-hrrr/issues" [build-system] requires = ["setuptools", "wheel"] diff --git a/scripts/test b/scripts/test index 4f04f9f..26937d9 100755 --- a/scripts/test +++ b/scripts/test @@ -24,7 +24,7 @@ if [ "${BASH_SOURCE[0]}" = "${0}" ]; then *.py ./**/*.py \ *.md - pytest --cov=stactools.ephemeral tests + pytest --cov=stactools.noaa_hrrr tests coverage xml fi fi diff --git a/scripts/update-examples b/scripts/update-examples index d0772ed..87954a3 100755 --- a/scripts/update-examples +++ b/scripts/update-examples @@ -3,14 +3,14 @@ import shutil from pathlib import Path -import stactools.ephemeral.stac +import stactools.noaa_hrrr.stac from pystac import CatalogType root = Path(__file__).parents[1] examples = root / "examples" -collection = stactools.ephemeral.stac.create_collection() -item = stactools.ephemeral.stac.create_item(str(root / "tests" / "data" / "asset.tif")) +collection = stactools.noaa_hrrr.stac.create_collection() +item = stactools.noaa_hrrr.stac.create_item(str(root / "tests" / "data" / "asset.tif")) collection.add_item(item) collection.update_extent_from_items() collection.normalize_hrefs(str(examples)) diff --git a/src/stactools/ephemeral/__init__.py b/src/stactools/noaa_hrrr/__init__.py similarity index 52% rename from src/stactools/ephemeral/__init__.py rename to src/stactools/noaa_hrrr/__init__.py index a65af21..76915af 100644 --- a/src/stactools/ephemeral/__init__.py +++ b/src/stactools/noaa_hrrr/__init__.py @@ -1,6 +1,6 @@ import stactools.core from stactools.cli.registry import Registry -from stactools.ephemeral.stac import create_collection, create_item +from stactools.noaa_hrrr.stac import create_collection, create_item __all__ = ["create_collection", "create_item"] @@ -8,6 +8,6 @@ def register_plugin(registry: Registry) -> None: - from stactools.ephemeral import commands + from stactools.noaa_hrrr import commands - registry.register_subcommand(commands.create_ephemeralcmd_command) + registry.register_subcommand(commands.create_noaahrrr_command) diff --git a/src/stactools/ephemeral/commands.py b/src/stactools/noaa_hrrr/commands.py similarity index 70% rename from src/stactools/ephemeral/commands.py rename to src/stactools/noaa_hrrr/commands.py index 637b471..29533f5 100644 --- a/src/stactools/ephemeral/commands.py +++ b/src/stactools/noaa_hrrr/commands.py @@ -2,22 +2,22 @@ import click from click import Command, Group -from stactools.ephemeral import stac +from stactools.noaa_hrrr import stac logger = logging.getLogger(__name__) -def create_ephemeralcmd_command(cli: Group) -> Command: - """Creates the stactools-ephemeral command line utility.""" +def create_noaahrrr_command(cli: Group) -> Command: + """Creates the stactools-noaa-hrrr command line utility.""" @cli.group( - "ephemeralcmd", - short_help=("Commands for working with stactools-ephemeral"), + "noaahrrr", + short_help=("Commands for working with stactools-noaa-hrrr"), ) - def ephemeralcmd() -> None: + def noaahrrr() -> None: pass - @ephemeralcmd.command( + @noaahrrr.command( "create-collection", short_help="Creates a STAC collection", ) @@ -32,7 +32,7 @@ def create_collection_command(destination: str) -> None: collection.set_self_href(destination) collection.save_object() - @ephemeralcmd.command("create-item", short_help="Create a STAC item") + @noaahrrr.command("create-item", short_help="Create a STAC item") @click.argument("source") @click.argument("destination") def create_item_command(source: str, destination: str) -> None: @@ -45,4 +45,4 @@ def create_item_command(source: str, destination: str) -> None: item = stac.create_item(source) item.save_object(dest_href=destination) - return ephemeralcmd + return noaahrrr diff --git a/src/stactools/ephemeral/stac.py b/src/stactools/noaa_hrrr/stac.py similarity index 100% rename from src/stactools/ephemeral/stac.py rename to src/stactools/noaa_hrrr/stac.py diff --git a/tests/test_commands.py b/tests/test_commands.py index c468913..db984d1 100644 --- a/tests/test_commands.py +++ b/tests/test_commands.py @@ -3,11 +3,11 @@ from click import Group from click.testing import CliRunner from pystac import Collection, Item -from stactools.ephemeral.commands import create_ephemeralcmd_command +from stactools.noaa_hrrr.commands import create_noaahrrr_command from . import test_data -command = create_ephemeralcmd_command(Group()) +command = create_noaahrrr_command(Group()) def test_create_collection(tmp_path: Path) -> None: diff --git a/tests/test_stac.py b/tests/test_stac.py index 644b006..ffba18e 100644 --- a/tests/test_stac.py +++ b/tests/test_stac.py @@ -1,4 +1,4 @@ -from stactools.ephemeral import stac +from stactools.noaa_hrrr import stac from . import test_data From c0f8752a5b4664cc9bfb9daeaecc9bec4f623e18 Mon Sep 17 00:00:00 2001 From: hrodmn Date: Wed, 29 May 2024 06:56:18 -0500 Subject: [PATCH 02/48] explore hrrr data using Herbie --- docker/Dockerfile | 6 +- docker/jupyter | 23 + environment.yml | 4 + explore_hrrr.ipynb | 1597 ++++++++++++++++++++++++++++++++++++++++++++ pyproject.toml | 4 + 5 files changed, 1630 insertions(+), 4 deletions(-) create mode 100755 docker/jupyter create mode 100644 explore_hrrr.ipynb diff --git a/docker/Dockerfile b/docker/Dockerfile index a5a7d99..fc1390b 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -18,9 +18,8 @@ RUN apt-get -y -q update \ && rm -rf /var/lib/apt/lists/ RUN python -m venv /opt/venv RUN pip install . \ - && ls /opt/venv \ - && rm -r /opt/venv/lib/python3.11/site-packages/stactools/noaa_hrrr - + && ls /opt/venv/lib/ \ + && rm -r /opt/venv/lib/python3.12/site-packages/stactools/noaa_hrrr FROM dependencies as builder @@ -46,7 +45,6 @@ COPY pyproject.toml . RUN pip install -e '.[dev]' \ && git init - FROM dev-dependencies as dev-builder ENV PATH="/opt/venv/bin:$PATH" diff --git a/docker/jupyter b/docker/jupyter new file mode 100755 index 0000000..f18e747 --- /dev/null +++ b/docker/jupyter @@ -0,0 +1,23 @@ +#!/bin/bash + +set -e + +if [[ -n "${STACTOOLS_DEBUG}" ]]; then + set -x +fi + +function usage() { + echo -n \ + "Usage: $(basename "$0") +Run a jupyter notebook server in a docker container with all prerequisites installed. +" +} + +if [ "${BASH_SOURCE[0]}" = "${0}" ]; then + docker run --rm -it \ + -v "$(pwd)":/opt/stactools-noaa-hrrr \ + -p 8000:8000 \ + --entrypoint /bin/bash \ + stactools-packages/noaa-hrrr:dev \ + -c "source /opt/conda/bin/activate && source /opt/venv/bin/activate && jupyter lab --ip=0.0.0.0 --port=8000 --no-browser --allow-root" +fi diff --git a/environment.yml b/environment.yml index dbb51fb..a712a3a 100644 --- a/environment.yml +++ b/environment.yml @@ -3,7 +3,11 @@ channels: - conda-forge - defaults dependencies: + - conda-forge::curl - conda-forge::gdal>=3.3 - conda-forge::geos>=3.3 + - conda-forge::jupyter + - conda-forge::nb_conda_kernels - conda-forge::rasterio>=1.3 - conda-forge::libstdcxx-ng # gdal dependency. Make sure it's from the same channel as gdal + - conda-forge::eccodes diff --git a/explore_hrrr.ipynb b/explore_hrrr.ipynb new file mode 100644 index 0000000..007e68f --- /dev/null +++ b/explore_hrrr.ipynb @@ -0,0 +1,1597 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "5ef2e441-f025-4b2e-bce2-692a8040a0f7", + "metadata": {}, + "outputs": [], + "source": [ + "from herbie import Herbie" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ee751305-72a3-4233-bef7-3b70c2cbe83e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2024-May-20 00:00 UTC\u001b[92m F01\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n" + ] + } + ], + "source": [ + "H = Herbie(\n", + " \"2024-05-20\",\n", + " model=\"hrrr\",\n", + " product=\"sfc\",\n", + " fxx=1,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "546c5a7c-38bc-4520-af9b-a62e3e52591c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "Coordinates:\n",
+       "    time                 datetime64[ns] 8B 2024-05-20\n",
+       "    step                 timedelta64[ns] 8B 01:00:00\n",
+       "    heightAboveGround    float64 8B 10.0\n",
+       "    latitude             (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n",
+       "    longitude            (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n",
+       "    valid_time           datetime64[ns] 8B 2024-05-20T01:00:00\n",
+       "    gribfile_projection  object 8B None\n",
+       "Dimensions without coordinates: y, x\n",
+       "Attributes: (12/37)\n",
+       "    GRIB_paramId:                             207\n",
+       "    GRIB_dataType:                            fc\n",
+       "    GRIB_numberOfPoints:                      1905141\n",
+       "    GRIB_typeOfLevel:                         heightAboveGround\n",
+       "    GRIB_stepUnits:                           1\n",
+       "    GRIB_stepType:                            max\n",
+       "    ...                                       ...\n",
+       "    GRIB_stepRange:                           0-1\n",
+       "    GRIB_units:                               m s**-1\n",
+       "    long_name:                                10 metre wind speed\n",
+       "    units:                                    m s**-1\n",
+       "    standard_name:                            unknown\n",
+       "    grid_mapping:                             gribfile_projection
" + ], + "text/plain": [ + " Size: 8MB\n", + "array([[8.291679, 8.229179, 8.229179, ..., 6.35418 , 6.41668 , 6.72918 ],\n", + " [8.229179, 8.104179, 8.041679, ..., 6.85418 , 7.66668 , 7.47918 ],\n", + " [8.229179, 8.041679, 8.041679, ..., 7.22918 , 8.166679, 7.54168 ],\n", + " ...,\n", + " [5.10418 , 5.16668 , 5.04168 , ..., 9.354179, 9.541679, 8.666679],\n", + " [5.10418 , 5.16668 , 5.10418 , ..., 8.979179, 9.604179, 8.916679],\n", + " [4.97918 , 5.04168 , 5.04168 , ..., 8.354179, 8.166679, 8.041679]],\n", + " dtype=float32)\n", + "Coordinates:\n", + " time datetime64[ns] 8B 2024-05-20\n", + " step timedelta64[ns] 8B 01:00:00\n", + " heightAboveGround float64 8B 10.0\n", + " latitude (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n", + " longitude (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n", + " valid_time datetime64[ns] 8B 2024-05-20T01:00:00\n", + " gribfile_projection object 8B None\n", + "Dimensions without coordinates: y, x\n", + "Attributes: (12/37)\n", + " GRIB_paramId: 207\n", + " GRIB_dataType: fc\n", + " GRIB_numberOfPoints: 1905141\n", + " GRIB_typeOfLevel: heightAboveGround\n", + " GRIB_stepUnits: 1\n", + " GRIB_stepType: max\n", + " ... ...\n", + " GRIB_stepRange: 0-1\n", + " GRIB_units: m s**-1\n", + " long_name: 10 metre wind speed\n", + " units: m s**-1\n", + " standard_name: unknown\n", + " grid_mapping: gribfile_projection" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wind = H.xarray(\"WIND\")\n", + "wind[\"si10\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ed82851f-2be0-4d2c-bc40-e762b7053b60", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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grib_messagestart_byteend_byterangereference_timevalid_timevariablelevelforecast_timesearch_this
78795644149557592985.056441495-575929852024-05-212024-05-21 01:00:00WIND10 m above ground0-1 hour max fcst:WIND:10 m above ground:0-1 hour max fcst
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grib_messagestart_byteend_byterangereference_timevalid_timevariablelevelforecast_timesearch_this
78795611731857276734.056117318-572767342024-05-222024-05-22 01:00:00WIND10 m above ground0-1 hour max fcst:WIND:10 m above ground:0-1 hour max fcst
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" + ], + "text/plain": [ + " grib_message start_byte end_byte range reference_time \\\n", + "78 79 56117318 57276734.0 56117318-57276734 2024-05-22 \n", + "\n", + " valid_time variable level forecast_time \\\n", + "78 2024-05-22 01:00:00 WIND 10 m above ground 0-1 hour max fcst \n", + "\n", + " search_this \n", + "78 :WIND:10 m above ground:0-1 hour max fcst " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Herbie(\n", + " \"2024-05-22\",\n", + " model=\"hrrr\",\n", + " product=\"sfc\",\n", + " fxx=1,\n", + ").inventory(search=\"WIND\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "777a745a-ebef-4736-aea1-0e73ea226cfd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=subh\u001b[0m ┊ \u001b[38;2;41;130;13m2024-May-20 00:00 UTC\u001b[92m F01\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n" + ] + }, + { + "data": { + "text/html": [ + "
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grib_messagestart_byteend_byterangereference_timevalid_timevariablelevelforecast_timesearch_this
010308735.00-3087352024-05-202024-05-20 01:00:00REFCentire atmosphere15 min fcst:REFC:entire atmosphere:15 min fcst
12308736476217.0308736-4762172024-05-202024-05-20 01:00:00RETOPcloud top15 min fcst:RETOP:cloud top:15 min fcst
23476218804670.0476218-8046702024-05-202024-05-20 01:00:00var discipline=0 center=7 local_table=1 parmca...entire atmosphere15 min fcst:var discipline=0 center=7 local_table=1 parmc...
34804671965750.0804671-9657502024-05-202024-05-20 01:00:00VILentire atmosphere15 min fcst:VIL:entire atmosphere:15 min fcst
459657512312548.0965751-23125482024-05-202024-05-20 01:00:00VISsurface15 min fcst:VIS:surface:15 min fcst
.................................
191192196129792197575895.0196129792-1975758952024-05-202024-05-20 01:00:00USWRFtop of atmosphere60 min fcst:USWRF:top of atmosphere:60 min fcst
192193197575896199207080.0197575896-1992070802024-05-202024-05-20 01:00:00SBT123top of atmosphere60 min fcst:SBT123:top of atmosphere:60 min fcst
193194199207081200845185.0199207081-2008451852024-05-202024-05-20 01:00:00SBT124top of atmosphere60 min fcst:SBT124:top of atmosphere:60 min fcst
194195200845186202375883.0200845186-2023758832024-05-202024-05-20 01:00:00SBT113top of atmosphere60 min fcst:SBT113:top of atmosphere:60 min fcst
195196202375884NaN202375884-2024-05-202024-05-20 01:00:00SBT114top of atmosphere60 min fcst:SBT114:top of atmosphere:60 min fcst
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196 rows × 10 columns

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+       "    latitude             (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n",
+       "    longitude            (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n",
+       "    valid_time           (step) datetime64[ns] 32B 2024-05-20T00:15:00 ... 20...\n",
+       "    gribfile_projection  object 8B None\n",
+       "Dimensions without coordinates: y, x\n",
+       "Data variables:\n",
+       "    veril                (step, y, x) float32 30MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    GRIB_edition:            2\n",
+       "    GRIB_centre:             kwbc\n",
+       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
+       "    GRIB_subCentre:          0\n",
+       "    Conventions:             CF-1.7\n",
+       "    institution:             US National Weather Service - NCEP\n",
+       "    model:                   hrrr\n",
+       "    product:                 subh\n",
+       "    description:             High-Resolution Rapid Refresh - CONUS\n",
+       "    remote_grib:             https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr....\n",
+       "    local_grib:              /root/data/hrrr/20240520/subset_cee48f5c__hrrr.t...\n",
+       "    search:                  VIL
" + ], + "text/plain": [ + " Size: 61MB\n", + "Dimensions: (step: 4, y: 1059, x: 1799)\n", + "Coordinates:\n", + " time datetime64[ns] 8B 2024-05-20\n", + " * step (step) timedelta64[ns] 32B 00:15:00 ... 01:00:00\n", + " atmosphere float64 8B 0.0\n", + " latitude (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n", + " longitude (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n", + " valid_time (step) datetime64[ns] 32B 2024-05-20T00:15:00 ... 20...\n", + " gribfile_projection object 8B None\n", + "Dimensions without coordinates: y, x\n", + "Data variables:\n", + " veril (step, y, x) float32 30MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n", + "Attributes:\n", + " GRIB_edition: 2\n", + " GRIB_centre: kwbc\n", + " GRIB_centreDescription: US National Weather Service - NCEP\n", + " GRIB_subCentre: 0\n", + " Conventions: CF-1.7\n", + " institution: US National Weather Service - NCEP\n", + " model: hrrr\n", + " product: subh\n", + " description: High-Resolution Rapid Refresh - CONUS\n", + " remote_grib: https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr....\n", + " local_grib: /root/data/hrrr/20240520/subset_cee48f5c__hrrr.t...\n", + " search: VIL" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.xarray(\"VIL\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da26ab44-4412-4f6e-9b94-68456e3464c1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyproject.toml b/pyproject.toml index 70b32a2..0943572 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,7 +24,11 @@ dependencies = ["stactools>=0.4.0"] [project.optional-dependencies] dev = [ "black~=23.9", + "cfgrib~=0.9", "codespell~=2.2", + "herbie-data", + "ipython~=8.24", + "jupyterlab", "mypy~=1.5", "pre-commit~=3.4", "pytest-cov~=4.1", From 7de96ae5252e1fd33d0d9e049bace4406856e343 Mon Sep 17 00:00:00 2001 From: hrodmn Date: Thu, 30 May 2024 13:51:49 -0500 Subject: [PATCH 03/48] build the package! --- README-template.md | 67 - README.md | 122 +- docs/example.ipynb | 1584 +++++++++++----- examples/collection.json | 53 +- examples/example-item/example-item.json | 87 - .../hrrr-conus-2024-05-10T12-FH0.json | 105 ++ explore_hrrr.ipynb | 1597 ----------------- pyproject.toml | 9 +- scripts/update-examples | 13 +- src/stactools/noaa_hrrr/commands.py | 65 +- src/stactools/noaa_hrrr/constants.py | 221 +++ src/stactools/noaa_hrrr/stac.py | 204 ++- tests/data/asset.tif | Bin 799760 -> 0 bytes tests/test_commands.py | 9 +- tests/test_stac.py | 99 +- 15 files changed, 1911 insertions(+), 2324 deletions(-) delete mode 100644 README-template.md delete mode 100644 examples/example-item/example-item.json create mode 100644 examples/hrrr-conus-2024-05-10T12-FH0/hrrr-conus-2024-05-10T12-FH0.json delete mode 100644 explore_hrrr.ipynb create mode 100644 src/stactools/noaa_hrrr/constants.py delete mode 100644 tests/data/asset.tif diff --git a/README-template.md b/README-template.md deleted file mode 100644 index e207bcd..0000000 --- a/README-template.md +++ /dev/null @@ -1,67 +0,0 @@ -# stactools-noaa-hrrr - -[![PyPI](https://img.shields.io/pypi/v/stactools-noaa-hrrr?style=for-the-badge)](https://pypi.org/project/stactools-noaa-hrrr/) -![GitHub Workflow Status (with event)](https://img.shields.io/github/actions/workflow/status/stactools-packages/noaa-hrrr/continuous-integration.yml?style=for-the-badge) - -- Name: noaa-hrrr -- Package: `stactools.noaa_hrrr` -- [stactools-noaa-hrrr on PyPI](https://pypi.org/project/stactools-noaa-hrrr/) -- Owner: @githubusername -- [Dataset homepage](http://example.com) -- STAC extensions used: - - [proj](https://github.com/stac-extensions/projection/) -- Extra fields: - - `noaa-hrrr:custom`: A custom attribute -- [Browse the example in human-readable form](https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/stactools-packages/noaa-hrrr/main/examples/collection.json) -- [Browse a notebook demonstrating the example item and collection](https://github.com/stactools-packages/noaa-hrrr/tree/main/docs/example.ipynb) - -A short description of the package and its usage. - -## STAC examples - -- [Collection](examples/collection.json) -- [Item](examples/item/item.json) - -## Installation - -```shell -pip install stactools-noaa-hrrr -``` - -## Command-line usage - -Description of the command line functions - -```shell -stac noaa-hrrr create-item source destination -``` - -Use `stac noaa-hrrr --help` to see all subcommands and options. - -## Contributing - -We use [pre-commit](https://pre-commit.com/) to check any changes. -To set up your development environment: - -```shell -pip install -e '.[dev]' -pre-commit install -``` - -To check all files: - -```shell -pre-commit run --all-files -``` - -To run the tests: - -```shell -pytest -vv -``` - -If you've updated the STAC metadata output, update the examples: - -```shell -scripts/update-examples -``` diff --git a/README.md b/README.md index 1ecbf27..148126f 100644 --- a/README.md +++ b/README.md @@ -1,23 +1,99 @@ -# stactools-template - -This is a template repo used for creating new packages for `stactools`. - -## How to use - -1. Clone this template repository as your package name, e.g. `landsat`. - This name should be short, memorable, and a valid Python package name (i.e. - it shouldn't start with a number, etc). It can, however, include a hyphen, in - which case the name for Python imports will be the underscored version, e.g. - `landsat-8` goes to `stactools.landsat_8`. Your name will be used on PyPI to - publish the package in the stactools namespace, e.g. `stactools-landsat`. -2. Change into the top-level directory of your package and run `scripts/rename`. - This will update _most_ of the files in the repository with your new package name. -3. Update `pyproject.toml` with your package description and such. -4. Install with the development requirements (`pip install -e '.[dev]'`). -5. Update the LICENSE with your company's information (or whomever holds the copyright). -6. Edit or replace the existing functions to create stac Items and Collections - for your dataset. -7. Add example Items (and Collections and Catalogs, if included) to an - `examples/` directory. -8. Delete this file, and rename `README-template.md` to `README.md`. Update your - new README to provide information about how to use your package. +# stactools-noaa-hrrr + +[![PyPI](https://img.shields.io/pypi/v/stactools-noaa-hrrr?style=for-the-badge)](https://pypi.org/project/stactools-noaa-hrrr/) +![GitHub Workflow Status (with event)](https://img.shields.io/github/actions/workflow/status/stactools-packages/noaa-hrrr/continuous-integration.yml?style=for-the-badge) + +- Name: noaa-hrrr +- Package: `stactools.noaa_hrrr` +- [stactools-noaa-hrrr on PyPI](https://pypi.org/project/stactools-noaa-hrrr/) +- Owner: @hrodmn +- [Dataset homepage](https://rapidrefresh.noaa.gov/hrrr/) +- STAC extensions used: + - [datacube](https://github.com/stac-extensions/datacube) (coming soon) + - [forecast](https://github.com/stac-extensions/forecast) +- Extra fields: + - `noaa-hrrr:forecast_cycle_type`: either standard (18-hour) or extended (48-hour) + - `noaa-hrrr:region`: either `conus` or `alaska` +- [Browse the example in human-readable form](https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/stactools-packages/noaa-hrrr/main/examples/collection.json) +- [Browse a notebook demonstrating the example item and collection](https://github.com/stactools-packages/noaa-hrrr/tree/main/docs/example.ipynb) + +A short description of the package and its usage. + +## STAC examples + +- [Collection](examples/collection.json) +- [Item](examples/item/item.json) + +## Installation + +This package relies on [Herbie](https://herbie.readthedocs.io/en/stable/index.html) +to wrangle the metadata from the HRRR Dataset, which has some dependencies that are +easiest to install with `conda`. + +1. Set up the conda environment + + ```shell + + wget https://github.com/developmentseed/noaa-hrrr/blob/main/environment.yml + conda env create -f environment.yml + ``` + +2. Activate the conda environment + + ```shell + conda activate stactools-noaa-hrrr + ``` + +3. Install `stactools-noaa-hrrr` + + ```shell + pip install stactools-noaa-hrrr + ``` + +## Command-line usage + +Description of the command line functions + +```shell +stac noaahrrr create-item 2024-05-01T12 10 conus azure example-item.json +``` + +### Docker + +You can launch a jupyterhub server in a docker container with all of the +dependencies installed using these commands: + +```shell +docker/build +docker/jupyter +``` + +Use `stac noaahrrr --help` to see all subcommands and options. + +## Contributing + +We use [pre-commit](https://pre-commit.com/) to check any changes. +To set up your development environment: + +```shell +pip install -e '.[dev]' +pre-commit install +``` + +To check all files: + +```shell +pre-commit run --all-files +``` + +To run the tests: + +```shell +pytest -vv +``` + +If you've updated the STAC metadata output, update the examples: + +```shell +scripts/update-examples +``` diff --git a/docs/example.ipynb b/docs/example.ipynb index 745e3c4..135ac60 100644 --- a/docs/example.ipynb +++ b/docs/example.ipynb @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -34,16 +34,32 @@ "\n", "
\n", "
\n", @@ -51,78 +67,75 @@ " \n", " \n", " \n", - "
  • \n", - " type\n", - " \"Collection\"\n", + "
  • \n", + " type\n", + " \"Collection\"\n", "
  • \n", " \n", " \n", " \n", " \n", " \n", - "
  • \n", - " id\n", - " \"example-collection\"\n", + "
  • \n", + " id\n", + " \"noaa-hrrr\"\n", "
  • \n", " \n", " \n", " \n", " \n", " \n", - "
  • \n", - " stac_version\n", - " \"1.0.0\"\n", + "
  • \n", + " stac_version\n", + " \"1.0.0\"\n", "
  • \n", " \n", " \n", " \n", " \n", " \n", - "
  • \n", - " description\n", - " \"An example collection\"\n", + "
  • \n", + " description\n", + " \"The NOAA HRRR is a real-time 3km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-hour period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh (RAP) system.\"\n", "
  • \n", " \n", " \n", " \n", " \n", "
  • \n", - " \n", - " links\n", - " [] 3 items\n", - " \n", + " links[] 5 items\n", " \n", "
      \n", " \n", " \n", " \n", "
    • \n", - " 0\n", + " 0\n", "
        \n", " \n", " \n", " \n", - "
      • \n", - " rel\n", - " \"self\"\n", + "
      • \n", + " rel\n", + " \"self\"\n", "
      • \n", " \n", " \n", " \n", " \n", " \n", - "
      • \n", - " href\n", - " \"/Users/gadomski/Code/stactools-packages/template/examples/collection.json\"\n", + "
      • \n", + " href\n", + " \"/opt/stactools-noaa-hrrr/examples/collection.json\"\n", "
      • \n", " \n", " \n", " \n", " \n", " \n", - "
      • \n", - " type\n", - " \"application/json\"\n", + "
      • \n", + " type\n", + " \"application/json\"\n", "
      • \n", " \n", " \n", @@ -139,41 +152,41 @@ " \n", " \n", "
      • \n", - " 1\n", + " 1\n", "
          \n", " \n", " \n", " \n", - "
        • \n", - " rel\n", - " \"root\"\n", + "
        • \n", + " rel\n", + " \"root\"\n", "
        • \n", " \n", " \n", " \n", " \n", " \n", - "
        • \n", - " href\n", - " \"/Users/gadomski/Code/stactools-packages/template/examples/collection.json\"\n", + "
        • \n", + " href\n", + " \"/opt/stactools-noaa-hrrr/examples/collection.json\"\n", "
        • \n", " \n", " \n", " \n", " \n", " \n", - "
        • \n", - " type\n", - " \"application/json\"\n", + "
        • \n", + " type\n", + " \"application/json\"\n", "
        • \n", " \n", " \n", " \n", " \n", " \n", - "
        • \n", - " title\n", - " \"Example collection\"\n", + "
        • \n", + " title\n", + " \"NOAA High Resolution Rapid Refresh (HRRR) collection\"\n", "
        • \n", " \n", " \n", @@ -190,32 +203,41 @@ " \n", " \n", "
        • \n", - " 2\n", + " 2\n", "
            \n", " \n", " \n", " \n", - "
          • \n", - " rel\n", - " \"item\"\n", + "
          • \n", + " rel\n", + " \"license\"\n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " href\n", + " \"https://creativecommons.org/licenses/by/4.0/\"\n", "
          • \n", " \n", " \n", " \n", " \n", " \n", - "
          • \n", - " href\n", - " \"./example-item/example-item.json\"\n", + "
          • \n", + " type\n", + " \"text/html\"\n", "
          • \n", " \n", " \n", " \n", " \n", " \n", - "
          • \n", - " type\n", - " \"application/json\"\n", + "
          • \n", + " title\n", + " \"CC-BY-4.0 license\"\n", "
          • \n", " \n", " \n", @@ -227,23 +249,107 @@ " \n", "
          \n", " \n", - "
        • \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + "
              \n", + " \n", + " \n", " \n", + "
            • \n", + " rel\n", + " \"documentation\"\n", + "
            • \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - "
            • \n", - " custom_attribute\n", - " \"foo\"\n", + "
            • \n", + " href\n", + " \"https://rapidrefresh.noaa.gov/hrrr/\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " type\n", + " \"text/html\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " title\n", + " \"NOAA HRRR documentation\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " rel\n", + " \"item\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " href\n", + " \"./hrrr-conus-2024-05-10T12-FH0/hrrr-conus-2024-05-10T12-FH0.json\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " type\n", + " \"application/json\"\n", "
            • \n", " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
      • \n", " \n", " \n", " \n", " \n", - "
      • \n", - " title\n", - " \"Example collection\"\n", + "
      • \n", + " title\n", + " \"NOAA High Resolution Rapid Refresh (HRRR) collection\"\n", "
      • \n", " \n", " \n", @@ -251,38 +357,32 @@ " \n", " \n", "
      • \n", - " extent\n", + " extent\n", "
          \n", " \n", " \n", " \n", "
        • \n", - " spatial\n", + " spatial\n", "
            \n", " \n", " \n", "
          • \n", - " \n", - " bbox\n", - " [] 1 items\n", - " \n", + " bbox[] 1 items\n", " \n", "
              \n", " \n", " \n", "
            • \n", - " \n", - " 0\n", - " [] 4 items\n", - " \n", + " 0[] 4 items\n", " \n", "
                \n", " \n", " \n", " \n", - "
              • \n", - " 0\n", - " -61.287624\n", + "
              • \n", + " 0\n", + " -134.12142793280145\n", "
              • \n", " \n", " \n", @@ -293,9 +393,9 @@ " \n", " \n", " \n", - "
              • \n", - " 1\n", - " 72.229798\n", + "
              • \n", + " 1\n", + " 21.122192719272277\n", "
              • \n", " \n", " \n", @@ -306,9 +406,9 @@ " \n", " \n", " \n", - "
              • \n", - " 2\n", - " -52.301599\n", + "
              • \n", + " 2\n", + " -60.891244531606546\n", "
              • \n", " \n", " \n", @@ -319,9 +419,9 @@ " \n", " \n", " \n", - "
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              • \n", " \n", " \n", @@ -344,32 +444,26 @@ " \n", " \n", "
              • \n", - " temporal\n", + " temporal\n", "
                  \n", " \n", " \n", "
                • \n", - " \n", - " interval\n", - " [] 1 items\n", - " \n", + " interval[] 1 items\n", " \n", "
                    \n", " \n", " \n", "
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                      \n", " \n", " \n", " \n", - "
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                    • \n", + " 1\n", + " \"2024-05-10T12:00:00Z\"\n", "
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      • \n", " \n", " \n", " \n", "
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        \n", + " \n", + "
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      • \n", - " 5\n", - " 8286015.0\n", + "
      • \n", + " url\n", + " \"https://www.noaa.gov/\"\n", "
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      \n", + "
    • \n", + " \n", + " \n", + " \n", + "
    \n", " \n", " \n", + " \n", " \n", - " \n", + " \n", + "
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      \n", - " \n", + " \n", + " \n", + "
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    • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    • \n", + " properties\n", "
        \n", " \n", " \n", " \n", - "
      • \n", - " 1\n", - " 2658\n", + "
      • \n", + " forecast:reference_time\n", + " \"2024-05-10T12:00:00\"\n", "
      • \n", " \n", " \n", " \n", - "
      \n", + " \n", + " \n", + "
    • \n", + " forecast:horizon\n", + " \"PT0H\"\n", + "
    • \n", + " \n", + " \n", " \n", - "
    • \n", + " \n", + " \n", + "
    • \n", + " noaa-hrrr:forecast_cycle_type\n", + " \"extended\"\n", + "
    • \n", + " \n", " \n", " \n", " \n", " \n", - "
    • \n", - " custom_attribute\n", - " \"foo\"\n", + "
    • \n", + " noaa-hrrr:region\n", + " \"conus\"\n", "
    • \n", " \n", " \n", " \n", " \n", " \n", - "
    • \n", - " datetime\n", - " \"2023-09-12T11:48:03.199913Z\"\n", + "
    • \n", + " datetime\n", + " \"2024-05-10T12:00:00Z\"\n", "
    • \n", " \n", " \n", @@ -642,50 +778,41 @@ " \n", " \n", "
    • \n", - " geometry\n", + " geometry\n", "
        \n", " \n", " \n", " \n", - "
      • \n", - " type\n", - " \"Polygon\"\n", + "
      • \n", + " type\n", + " \"Polygon\"\n", "
      • \n", " \n", " \n", " \n", " \n", "
      • \n", - " \n", - " coordinates\n", - " [] 1 items\n", - " \n", + " coordinates[] 1 items\n", " \n", "
          \n", " \n", " \n", "
        • \n", - " \n", - " 0\n", - " [] 5 items\n", - " \n", + " 0[] 5 items\n", " \n", "
            \n", " \n", " \n", "
          • \n", - " \n", - " 0\n", - " [] 2 items\n", - " \n", + " 0[] 2 items\n", " \n", "
              \n", " \n", " \n", " \n", - "
            • \n", - " 0\n", - " -52.916275\n", + "
            • \n", + " 0\n", + " -60.891244531606546\n", "
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            • \n", " \n", " \n", @@ -714,18 +841,15 @@ " \n", " \n", "
            • \n", - " \n", - " 1\n", - " [] 2 items\n", - " \n", + " 1[] 2 items\n", " \n", "
                \n", " \n", " \n", " \n", - "
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              • \n", + " 1\n", + " 52.62870335266728\n", "
              • \n", " \n", " \n", @@ -754,18 +878,15 @@ " \n", " \n", "
              • \n", - " \n", - " 2\n", - " [] 2 items\n", - " \n", + " 2[] 2 items\n", " \n", "
                  \n", " \n", " \n", " \n", - "
                • \n", - " 0\n", - " -61.287624\n", + "
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                • \n", " \n", " \n", @@ -776,9 +897,9 @@ " \n", " \n", " \n", - "
                • \n", - " 1\n", - " 74.622043\n", + "
                • \n", + " 1\n", + " 52.62870335266728\n", "
                • \n", " \n", " \n", @@ -794,18 +915,15 @@ " \n", " \n", "
                • \n", - " \n", - " 3\n", - " [] 2 items\n", - " \n", + " 3[] 2 items\n", " \n", "
                    \n", " \n", " \n", " \n", - "
                  • \n", - " 0\n", - " -60.726346\n", + "
                  • \n", + " 0\n", + " -134.12142793280145\n", "
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                  • \n", + " 1\n", + " 21.122192719272277\n", "
                  • \n", " \n", " \n", @@ -834,18 +952,15 @@ " \n", " \n", "
                  • \n", - " \n", - " 4\n", - " [] 2 items\n", - " \n", + " 4[] 2 items\n", " \n", "
                      \n", " \n", " \n", " \n", - "
                    • \n", - " 0\n", - " -52.916275\n", + "
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                    • \n", + " 1\n", + " 21.122192719272277\n", "
                    • \n", " \n", " \n", @@ -885,51 +1000,48 @@ " \n", " \n", "
                    • \n", - " \n", - " links\n", - " [] 4 items\n", - " \n", + " links[] 4 items\n", " \n", "
                        \n", " \n", " \n", " \n", "
                      • \n", - " 0\n", + " 0\n", "
                          \n", " \n", " \n", " \n", - "
                        • \n", - " rel\n", - " \"root\"\n", + "
                        • \n", + " rel\n", + " \"root\"\n", "
                        • \n", " \n", " \n", " \n", " \n", " \n", - "
                        • \n", - " href\n", - " \"/Users/gadomski/Code/stactools-packages/template/examples/collection.json\"\n", + "
                        • \n", + " href\n", + " \"/opt/stactools-noaa-hrrr/examples/collection.json\"\n", "
                        • \n", " \n", " \n", " \n", " \n", " \n", - "
                        • \n", - " type\n", - " \"application/json\"\n", + "
                        • \n", + " type\n", + " \"application/json\"\n", "
                        • \n", " \n", " \n", " \n", " \n", " \n", - "
                        • \n", - " title\n", - " \"Example collection\"\n", + "
                        • \n", + " title\n", + " \"NOAA High Resolution Rapid Refresh (HRRR) collection\"\n", "
                        • \n", " \n", " \n", @@ -946,41 +1058,41 @@ " \n", " \n", "
                        • \n", - " 1\n", + " 1\n", "
                            \n", " \n", " \n", " \n", - "
                          • \n", - " rel\n", - " \"collection\"\n", + "
                          • \n", + " rel\n", + " \"collection\"\n", "
                          • \n", " \n", " \n", " \n", " \n", " \n", - "
                          • \n", - " href\n", - " \"../collection.json\"\n", + "
                          • \n", + " href\n", + " \"../collection.json\"\n", "
                          • \n", " \n", " \n", " \n", " \n", " \n", - "
                          • \n", - " type\n", - " \"application/json\"\n", + "
                          • \n", + " type\n", + " \"application/json\"\n", "
                          • \n", " \n", " \n", " \n", " \n", " \n", - "
                          • \n", - " title\n", - " \"Example collection\"\n", + "
                          • \n", + " title\n", + " \"NOAA High Resolution Rapid Refresh (HRRR) collection\"\n", "
                          • \n", " \n", " \n", @@ -997,32 +1109,32 @@ " \n", " \n", "
                          • \n", - " 2\n", + " 2\n", "
                              \n", " \n", " \n", " \n", - "
                            • \n", - " rel\n", - " \"self\"\n", + "
                            • \n", + " rel\n", + " \"self\"\n", "
                            • \n", " \n", " \n", " \n", " \n", " \n", - "
                            • \n", - " href\n", - " \"/Users/gadomski/Code/stactools-packages/template/examples/example-item/example-item.json\"\n", + "
                            • \n", + " href\n", + " \"/opt/stactools-noaa-hrrr/examples/hrrr-conus-2024-05-10T12-FH0/hrrr-conus-2024-05-10T12-FH0.json\"\n", "
                            • \n", " \n", " \n", " \n", " \n", " \n", - "
                            • \n", - " type\n", - " \"application/json\"\n", + "
                            • \n", + " type\n", + " \"application/json\"\n", "
                            • \n", " \n", " \n", @@ -1039,41 +1151,41 @@ " \n", " \n", "
                            • \n", - " 3\n", + " 3\n", "
                                \n", " \n", " \n", " \n", - "
                              • \n", - " rel\n", - " \"parent\"\n", + "
                              • \n", + " rel\n", + " \"parent\"\n", "
                              • \n", " \n", " \n", " \n", " \n", " \n", - "
                              • \n", - " href\n", - " \"/Users/gadomski/Code/stactools-packages/template/examples/collection.json\"\n", + "
                              • \n", + " href\n", + " \"/opt/stactools-noaa-hrrr/examples/collection.json\"\n", "
                              • \n", " \n", " \n", " \n", " \n", " \n", - "
                              • \n", - " type\n", - " \"application/json\"\n", + "
                              • \n", + " type\n", + " \"application/json\"\n", "
                              • \n", " \n", " \n", " \n", " \n", " \n", - "
                              • \n", - " title\n", - " \"Example collection\"\n", + "
                              • \n", + " title\n", + " \"NOAA High Resolution Rapid Refresh (HRRR) collection\"\n", "
                              • \n", " \n", " \n", @@ -1091,38 +1203,62 @@ " \n", " \n", "
                              • \n", - " assets\n", + " assets\n", "
                                  \n", " \n", " \n", " \n", "
                                • \n", - " data\n", + " prs\n", "
                                    \n", " \n", " \n", " \n", - "
                                  • \n", - " href\n", - " \"../../tests/data/asset.tif\"\n", + "
                                  • \n", + " href\n", + " \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfprsf00.grib2\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " type\n", + " \"application/wmo-GRIB2\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " title\n", + " \"3D Pressure Levels\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " description\n", + " \"3D Pressure Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.\"\n", "
                                  • \n", " \n", " \n", " \n", " \n", "
                                  • \n", - " \n", - " roles\n", - " [] 1 items\n", - " \n", + " roles[] 1 items\n", " \n", "
                                      \n", " \n", " \n", " \n", - "
                                    • \n", - " 0\n", - " \"data\"\n", + "
                                    • \n", + " 0\n", + " \"data\"\n", "
                                    • \n", " \n", " \n", @@ -1137,87 +1273,262 @@ " \n", " \n", " \n", - "
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                                  • \n", - " \n", - " bbox\n", - " [] 4 items\n", - " \n", - " \n", + "
                                  • \n", + " nat\n", "
                                      \n", " \n", " \n", " \n", - "
                                    • \n", - " 0\n", - " -61.287624\n", + "
                                    • \n", + " href\n", + " \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfnatf00.grib2\"\n", "
                                    • \n", " \n", " \n", " \n", - "
                                    \n", - " \n", - "
                                      \n", - " \n", " \n", " \n", - "
                                    • \n", - " 1\n", - " 72.229798\n", + "
                                    • \n", + " type\n", + " \"application/wmo-GRIB2\"\n", "
                                    • \n", " \n", " \n", " \n", - "
                                    \n", - " \n", - "
                                      \n", - " \n", " \n", " \n", - "
                                    • \n", - " 2\n", - " -52.301599\n", + "
                                    • \n", + " title\n", + " \"Native Levels\"\n", "
                                    • \n", " \n", " \n", " \n", - "
                                    \n", - " \n", - "
                                      \n", - " \n", " \n", " \n", - "
                                    • \n", - " 3\n", - " 74.622043\n", + "
                                    • \n", + " description\n", + " \"Native Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.\"\n", "
                                    • \n", " \n", " \n", " \n", - "
                                    \n", + " \n", + "
                                  • \n", + " roles[] 1 items\n", + " \n", + "
                                      \n", + " \n", + " \n", + " \n", + "
                                    • \n", + " 0\n", + " \"data\"\n", + "
                                    • \n", + " \n", + " \n", + " \n", + "
                                    \n", + " \n", + "
                                  • \n", + " \n", + " \n", + "
                                  \n", + "
                                • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                • \n", + " sfc\n", + "
                                    \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " href\n", + " \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfsfcf00.grib2\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " type\n", + " \"application/wmo-GRIB2\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " title\n", + " \"2D Surface Levels\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " description\n", + " \"2D Surface Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " roles[] 1 items\n", + " \n", + "
                                      \n", + " \n", + " \n", + " \n", + "
                                    • \n", + " 0\n", + " \"data\"\n", + "
                                    • \n", + " \n", + " \n", + " \n", + "
                                    \n", + " \n", + "
                                  • \n", + " \n", + " \n", + "
                                  \n", + "
                                • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                • \n", + " subh\n", + "
                                    \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " href\n", + " \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfsubhf00.grib2\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " type\n", + " \"application/wmo-GRIB2\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " title\n", + " \"2D Surface Levels - Sub Hourly\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " description\n", + " \"2D Surface Level forecast data (sub-hourly, 15 minute intervals) as a grib2 file. Subsets of the data can be loaded using the provided byte range.\"\n", + "
                                  • \n", + " \n", + " \n", + " \n", + " \n", + "
                                  • \n", + " roles[] 1 items\n", + " \n", + "
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                                • \n", + " \n", + " \n", + " \n", + "
                                \n", + "
                              • \n", + " \n", " \n", " \n", " \n", "
                              • \n", - " \n", - " stac_extensions\n", - " [] 1 items\n", - " \n", + " bbox[] 4 items\n", + " \n", + "
                                  \n", + " \n", + " \n", + " \n", + "
                                • \n", + " 0\n", + " -134.12142793280145\n", + "
                                • \n", + " \n", + " \n", + " \n", + "
                                \n", " \n", "
                                  \n", " \n", " \n", " \n", - "
                                • \n", - " 0\n", - " \"https://stac-extensions.github.io/projection/v1.1.0/schema.json\"\n", + "
                                • \n", + " 1\n", + " 21.122192719272277\n", + "
                                • \n", + " \n", + " \n", + " \n", + "
                                \n", + " \n", + "
                                  \n", + " \n", + " \n", + " \n", + "
                                • \n", + " 2\n", + " -60.891244531606546\n", + "
                                • \n", + " \n", + " \n", + " \n", + "
                                \n", + " \n", + "
                                  \n", + " \n", + " \n", + " \n", + "
                                • \n", + " 3\n", + " 52.62870335266728\n", "
                                • \n", " \n", " \n", @@ -1228,10 +1539,17 @@ " \n", " \n", " \n", + "
                                • \n", + " stac_extensions[] 0 items\n", + " \n", + "
                                • \n", + " \n", + " \n", + " \n", " \n", - "
                                • \n", - " collection\n", - " \"example-collection\"\n", + "
                                • \n", + " collection\n", + " \"noaa-hrrr\"\n", "
                                • \n", " \n", " \n", @@ -1241,7 +1559,7 @@ "
    " ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1251,22 +1569,26 @@ "name": "stdout", "output_type": "stream", "text": [ - "This is the custom attribute: foo\n" + "This is the forecast cycle type: extended\n" ] } ], "source": [ + "from datetime import datetime, timedelta\n", "from pathlib import Path\n", "from pystac import Collection, Item\n", "from IPython.display import display\n", + "\n", "import stactools.noaa_hrrr.stac\n", + "from stactools.noaa_hrrr.constants import Region, CloudProvider\n", + "\n", "\n", "root = Path().cwd().parent\n", "collection = Collection.from_file(str(root / \"examples\" / \"collection.json\"))\n", "display(collection)\n", "item = next(collection.get_items())\n", "display(item)\n", - "print(f\"This is the custom attribute: {item.properties['custom_attribute']}\")" + "print(f\"This is the forecast cycle type: {item.properties['noaa-hrrr:forecast_cycle_type']}\")" ] }, { @@ -1275,14 +1597,16 @@ "source": [ "## Creating items and collections\n", "\n", - "Items can be created from an href to a single tif file.\n", + "Items can be created from a `reference_datetime`, `forecast_hour`, `region`, and `cloud_provider`.\n", "Items are added to collections using the standard pystac interface." ] }, { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1292,16 +1616,32 @@ "\n", "
    \n", "
    \n", @@ -1309,78 +1649,84 @@ " \n", " \n", " \n", - "
  • \n", - " type\n", - " \"Collection\"\n", + "
  • \n", + " type\n", + " \"Collection\"\n", "
  • \n", " \n", " \n", " \n", " \n", " \n", - "
  • \n", - " id\n", - " \"example-collection\"\n", + "
  • \n", + " id\n", + " \"noaa-hrrr\"\n", "
  • \n", " \n", " \n", " \n", " \n", " \n", - "
  • \n", - " stac_version\n", - " \"1.0.0\"\n", + "
  • \n", + " stac_version\n", + " \"1.0.0\"\n", "
  • \n", " \n", " \n", " \n", " \n", " \n", - "
  • \n", - " description\n", - " \"An example collection\"\n", + "
  • \n", + " description\n", + " \"The NOAA HRRR is a real-time 3km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-hour period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh (RAP) system.\"\n", "
  • \n", " \n", " \n", " \n", " \n", "
  • \n", - " \n", - " links\n", - " [] 1 items\n", - " \n", + " links[] 3 items\n", " \n", "
      \n", " \n", " \n", " \n", "
    • \n", - " 0\n", + " 0\n", "
        \n", " \n", " \n", " \n", - "
      • \n", - " rel\n", - " \"item\"\n", + "
      • \n", + " rel\n", + " \"license\"\n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " href\n", + " \"https://creativecommons.org/licenses/by/4.0/\"\n", "
      • \n", " \n", " \n", " \n", " \n", " \n", - "
      • \n", - " href\n", - " None\n", + "
      • \n", + " type\n", + " \"text/html\"\n", "
      • \n", " \n", " \n", " \n", " \n", " \n", - "
      • \n", - " type\n", - " \"application/json\"\n", + "
      • \n", + " title\n", + " \"CC-BY-4.0 license\"\n", "
      • \n", " \n", " \n", @@ -1392,23 +1738,107 @@ " \n", "
      \n", " \n", - "
    • \n", + "
        \n", + " \n", + " \n", " \n", + "
      • \n", + " 1\n", + "
          \n", + " \n", " \n", " \n", - " \n", - "
        • \n", - " custom_attribute\n", - " \"foo\"\n", + "
        • \n", + " rel\n", + " \"documentation\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " href\n", + " \"https://rapidrefresh.noaa.gov/hrrr/\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"text/html\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " title\n", + " \"NOAA HRRR documentation\"\n", "
        • \n", " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + "
      \n", + " \n", + "
        \n", + " \n", + " \n", + " \n", + "
      • \n", + " 2\n", + "
          \n", + " \n", + " \n", + " \n", + "
        • \n", + " rel\n", + " \"item\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " href\n", + " None\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"application/json\"\n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + "
      \n", + " \n", + "
  • \n", " \n", " \n", " \n", " \n", - "
  • \n", - " title\n", - " \"Example collection\"\n", + "
  • \n", + " title\n", + " \"NOAA High Resolution Rapid Refresh (HRRR) collection\"\n", "
  • \n", " \n", " \n", @@ -1416,38 +1846,32 @@ " \n", " \n", "
  • \n", - " extent\n", + " extent\n", "
      \n", " \n", " \n", " \n", "
    • \n", - " spatial\n", + " spatial\n", "
        \n", " \n", " \n", "
      • \n", - " \n", - " bbox\n", - " [] 1 items\n", - " \n", + " bbox[] 2 items\n", " \n", "
          \n", " \n", " \n", "
        • \n", - " \n", - " 0\n", - " [] 4 items\n", - " \n", + " 0[] 4 items\n", " \n", "
            \n", " \n", " \n", " \n", - "
          • \n", - " 0\n", - " -180.0\n", + "
          • \n", + " 0\n", + " -134.12142793280145\n", "
          • \n", " \n", " \n", @@ -1458,9 +1882,9 @@ " \n", " \n", " \n", - "
          • \n", - " 1\n", - " 90.0\n", + "
          • \n", + " 1\n", + " 21.122192719272277\n", "
          • \n", " \n", " \n", @@ -1471,9 +1895,9 @@ " \n", " \n", " \n", - "
          • \n", - " 2\n", - " 180.0\n", + "
          • \n", + " 2\n", + " -60.891244531606546\n", "
          • \n", " \n", " \n", @@ -1484,9 +1908,72 @@ " \n", " \n", " \n", - "
          • \n", - " 3\n", - " -90.0\n", + "
          • \n", + " 3\n", + " 52.62870335266728\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + "
        \n", + " \n", + "
          \n", + " \n", + " \n", + "
        • \n", + " 1[] 4 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " -174.8849\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " 41.596\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " -115.6988\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " 76.3464\n", "
          • \n", " \n", " \n", @@ -1509,32 +1996,26 @@ " \n", " \n", "
          • \n", - " temporal\n", + " temporal\n", "
              \n", " \n", " \n", "
            • \n", - " \n", - " interval\n", - " [] 1 items\n", - " \n", + " interval[] 1 items\n", " \n", "
                \n", " \n", " \n", "
              • \n", - " \n", - " 0\n", - " [] 2 items\n", - " \n", + " 0[] 2 items\n", " \n", "
                  \n", " \n", " \n", " \n", - "
                • \n", - " 0\n", - " \"2023-09-18T21:35:51.039996Z\"\n", + "
                • \n", + " 0\n", + " \"2021-03-21T00:00:00Z\"\n", "
                • \n", " \n", " \n", @@ -1545,9 +2026,9 @@ " \n", " \n", " \n", - "
                • \n", - " 1\n", - " None\n", + "
                • \n", + " 1\n", + " None\n", "
                • \n", " \n", " \n", @@ -1574,11 +2055,143 @@ " \n", " \n", " \n", - "
                • \n", - " license\n", - " \"proprietary\"\n", + "
                • \n", + " license\n", + " \"CC-BY-4.0\"\n", + "
                • \n", + " \n", + " \n", + " \n", + " \n", + "
                • \n", + " keywords[] 5 items\n", + " \n", + "
                    \n", + " \n", + " \n", + " \n", + "
                  • \n", + " 0\n", + " \"NOAA\"\n", + "
                  • \n", + " \n", + " \n", + " \n", + "
                  \n", + " \n", + "
                    \n", + " \n", + " \n", + " \n", + "
                  • \n", + " 1\n", + " \"HRRR\"\n", + "
                  • \n", + " \n", + " \n", + " \n", + "
                  \n", + " \n", + "
                    \n", + " \n", + " \n", + " \n", + "
                  • \n", + " 2\n", + " \"forecast\"\n", + "
                  • \n", + " \n", + " \n", + " \n", + "
                  \n", + " \n", + "
                    \n", + " \n", + " \n", + " \n", + "
                  • \n", + " 3\n", + " \"atmospheric\"\n", "
                  • \n", " \n", + " \n", + " \n", + "
                  \n", + " \n", + "
                    \n", + " \n", + " \n", + " \n", + "
                  • \n", + " 4\n", + " \"weather\"\n", + "
                  • \n", + " \n", + " \n", + " \n", + "
                  \n", + " \n", + "
                • \n", + " \n", + " \n", + " \n", + "
                • \n", + " providers[] 1 items\n", + " \n", + "
                    \n", + " \n", + " \n", + " \n", + "
                  • \n", + " 0\n", + "
                      \n", + " \n", + " \n", + " \n", + "
                    • \n", + " name\n", + " \"NOAA\"\n", + "
                    • \n", + " \n", + " \n", + " \n", + " \n", + "
                    • \n", + " roles[] 1 items\n", + " \n", + "
                        \n", + " \n", + " \n", + " \n", + "
                      • \n", + " 0\n", + " \"producer\"\n", + "
                      • \n", + " \n", + " \n", + " \n", + "
                      \n", + " \n", + "
                    • \n", + " \n", + " \n", + " \n", + " \n", + "
                    • \n", + " url\n", + " \"https://www.noaa.gov/\"\n", + "
                    • \n", + " \n", + " \n", + " \n", + "
                    \n", + "
                  • \n", + " \n", + " \n", + " \n", + "
                  \n", + " \n", + "
                • \n", " \n", " \n", "
                \n", @@ -1586,7 +2199,7 @@ "
  • " ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1594,9 +2207,13 @@ } ], "source": [ - "tif_path = root / \"tests\" / \"data\" / \"asset.tif\"\n", - "item = stactools.noaa_hrrr.stac.create_item(str(tif_path))\n", - "collection = stactools.noaa_hrrr.stac.create_collection()\n", + "item = stactools.noaa_hrrr.stac.create_item(\n", + " reference_datetime=datetime.now() - timedelta(days=7),\n", + " forecast_hour=6,\n", + " region=Region.conus,\n", + " cloud_provider=CloudProvider.azure,\n", + ")\n", + "collection = stactools.noaa_hrrr.stac.create_collection(cloud_provider=CloudProvider.azure)\n", "collection.add_item(item)\n", "display(collection)" ] @@ -1604,7 +2221,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1618,10 +2235,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" - }, - "orig_nbformat": 4 + "version": "3.12.2" + } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/examples/collection.json b/examples/collection.json index d6db4b8..487b418 100644 --- a/examples/collection.json +++ b/examples/collection.json @@ -1,42 +1,69 @@ { "type": "Collection", - "id": "example-collection", + "id": "noaa-hrrr", "stac_version": "1.0.0", - "description": "An example collection", + "description": "The NOAA HRRR is a real-time 3km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-hour period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh (RAP) system.", "links": [ { "rel": "root", "href": "./collection.json", "type": "application/json", - "title": "Example collection" + "title": "NOAA High Resolution Rapid Refresh (HRRR) collection" + }, + { + "rel": "license", + "href": "https://creativecommons.org/licenses/by/4.0/", + "type": "text/html", + "title": "CC-BY-4.0 license" + }, + { + "rel": "documentation", + "href": "https://rapidrefresh.noaa.gov/hrrr/", + "type": "text/html", + "title": "NOAA HRRR documentation" }, { "rel": "item", - "href": "./example-item/example-item.json", + "href": "./hrrr-conus-2024-05-10T12-FH0/hrrr-conus-2024-05-10T12-FH0.json", "type": "application/json" } ], - "custom_attribute": "foo", - "title": "Example collection", + "title": "NOAA High Resolution Rapid Refresh (HRRR) collection", "extent": { "spatial": { "bbox": [ [ - -61.287624, - 72.229798, - -52.301599, - 74.622043 + -134.12142793280145, + 21.122192719272277, + -60.891244531606546, + 52.62870335266728 ] ] }, "temporal": { "interval": [ [ - "2023-09-12T11:48:03.199913Z", - "2023-09-12T11:48:03.199913Z" + "2024-05-10T12:00:00Z", + "2024-05-10T12:00:00Z" ] ] } }, - "license": "proprietary" + "license": "CC-BY-4.0", + "keywords": [ + "NOAA", + "HRRR", + "forecast", + "atmospheric", + "weather" + ], + "providers": [ + { + "name": "NOAA", + "roles": [ + "producer" + ], + "url": "https://www.noaa.gov/" + } + ] } \ No newline at end of file diff --git a/examples/example-item/example-item.json b/examples/example-item/example-item.json deleted file mode 100644 index 17cf5cf..0000000 --- a/examples/example-item/example-item.json +++ /dev/null @@ -1,87 +0,0 @@ -{ - "type": "Feature", - "stac_version": "1.0.0", - "id": "example-item", - "properties": { - "proj:epsg": 32621, - "proj:transform": [ - 100.01126757344893, - 0.0, - 373185.0, - 0.0, - -100.01126757344893, - 8286015.0 - ], - "proj:shape": [ - 2667, - 2658 - ], - "custom_attribute": "foo", - "datetime": "2023-09-12T11:48:03.199913Z" - }, - "geometry": { - "type": "Polygon", - "coordinates": [ - [ - [ - -52.916275, - 72.229798 - ], - [ - -52.301599, - 74.613784 - ], - [ - -61.287624, - 74.622043 - ], - [ - -60.726346, - 72.236891 - ], - [ - -52.916275, - 72.229798 - ] - ] - ] - }, - "links": [ - { - "rel": "root", - "href": "../collection.json", - "type": "application/json", - "title": "Example collection" - }, - { - "rel": "collection", - "href": "../collection.json", - "type": "application/json", - "title": "Example collection" - }, - { - "rel": "parent", - "href": "../collection.json", - "type": "application/json", - "title": "Example collection" - } - ], - "assets": { - "data": { - "href": "../../tests/data/asset.tif", - "roles": [ - "data" - ] - } - }, - "bbox": [ - -61.287624, - 72.229798, - -52.301599, - 74.622043 - ], - "stac_extensions": [ - "https://stac-extensions.github.io/projection/v1.1.0/schema.json" - ], - "collection": "example-collection" -} \ No newline at end of file diff --git a/examples/hrrr-conus-2024-05-10T12-FH0/hrrr-conus-2024-05-10T12-FH0.json b/examples/hrrr-conus-2024-05-10T12-FH0/hrrr-conus-2024-05-10T12-FH0.json new file mode 100644 index 0000000..9e296be --- /dev/null +++ b/examples/hrrr-conus-2024-05-10T12-FH0/hrrr-conus-2024-05-10T12-FH0.json @@ -0,0 +1,105 @@ +{ + "type": "Feature", + "stac_version": "1.0.0", + "id": "hrrr-conus-2024-05-10T12-FH0", + "properties": { + "forecast:reference_time": "2024-05-10T12:00:00", + "forecast:horizon": "PT0H", + "noaa-hrrr:forecast_cycle_type": "extended", + "noaa-hrrr:region": "conus", + "datetime": "2024-05-10T12:00:00Z" + }, + "geometry": { + "type": "Polygon", + "coordinates": [ + [ + [ + -60.891244531606546, + 21.122192719272277 + ], + [ + -60.891244531606546, + 52.62870335266728 + ], + [ + -134.12142793280145, + 52.62870335266728 + ], + [ + -134.12142793280145, + 21.122192719272277 + ], + [ + -60.891244531606546, + 21.122192719272277 + ] + ] + ] + }, + "links": [ + { + "rel": "root", + "href": "../collection.json", + "type": "application/json", + "title": "NOAA High Resolution Rapid Refresh (HRRR) collection" + }, + { + "rel": "collection", + "href": "../collection.json", + "type": "application/json", + "title": "NOAA High Resolution Rapid Refresh (HRRR) collection" + }, + { + "rel": "parent", + "href": "../collection.json", + "type": "application/json", + "title": "NOAA High Resolution Rapid Refresh (HRRR) collection" + } + ], + "assets": { + "prs": { + "href": "https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfprsf00.grib2", + "type": "application/wmo-GRIB2", + "title": "3D Pressure Levels", + "description": "3D Pressure Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.", + "roles": [ + "data" + ] + }, + "nat": { + "href": "https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfnatf00.grib2", + "type": "application/wmo-GRIB2", + "title": "Native Levels", + "description": "Native Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.", + "roles": [ + "data" + ] + }, + "sfc": { + "href": "https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfsfcf00.grib2", + "type": "application/wmo-GRIB2", + "title": "2D Surface Levels", + "description": "2D Surface Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.", + "roles": [ + "data" + ] + }, + "subh": { + "href": "https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfsubhf00.grib2", + "type": "application/wmo-GRIB2", + "title": "2D Surface Levels - Sub Hourly", + "description": "2D Surface Level forecast data (sub-hourly, 15 minute intervals) as a grib2 file. Subsets of the data can be loaded using the provided byte range.", + "roles": [ + "data" + ] + } + }, + "bbox": [ + -134.12142793280145, + 21.122192719272277, + -60.891244531606546, + 52.62870335266728 + ], + "stac_extensions": [], + "collection": "noaa-hrrr" +} \ No newline at end of file diff --git a/explore_hrrr.ipynb b/explore_hrrr.ipynb deleted file mode 100644 index 007e68f..0000000 --- a/explore_hrrr.ipynb +++ /dev/null @@ -1,1597 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "5ef2e441-f025-4b2e-bce2-692a8040a0f7", - "metadata": {}, - "outputs": [], - "source": [ - "from herbie import Herbie" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "ee751305-72a3-4233-bef7-3b70c2cbe83e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2024-May-20 00:00 UTC\u001b[92m F01\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n" - ] - } - ], - "source": [ - "H = Herbie(\n", - " \"2024-05-20\",\n", - " model=\"hrrr\",\n", - " product=\"sfc\",\n", - " fxx=1,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "546c5a7c-38bc-4520-af9b-a62e3e52591c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    grib_messagestart_byteend_byterangereference_timevalid_timevariablelevelforecast_timesearch_this
    78795539254956557521.055392549-565575212024-05-202024-05-20 01:00:00WIND10 m above ground0-1 hour max fcst:WIND:10 m above ground:0-1 hour max fcst
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    " - ], - "text/plain": [ - " grib_message start_byte end_byte range reference_time \\\n", - "78 79 55392549 56557521.0 55392549-56557521 2024-05-20 \n", - "\n", - " valid_time variable level forecast_time \\\n", - "78 2024-05-20 01:00:00 WIND 10 m above ground 0-1 hour max fcst \n", - "\n", - " search_this \n", - "78 :WIND:10 m above ground:0-1 hour max fcst " - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.inventory(search=\"WIND\")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "91be98fe-01ec-465c-bbc5-d35320699e24", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    -       "    longitude            (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n",
    -       "    valid_time           datetime64[ns] 8B 2024-05-20T01:00:00\n",
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    -       "Dimensions without coordinates: y, x\n",
    -       "Attributes: (12/37)\n",
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    -       "    GRIB_dataType:                            fc\n",
    -       "    GRIB_numberOfPoints:                      1905141\n",
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    -       "    GRIB_stepType:                            max\n",
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    -       "    GRIB_stepRange:                           0-1\n",
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    -       "    long_name:                                10 metre wind speed\n",
    -       "    units:                                    m s**-1\n",
    -       "    standard_name:                            unknown\n",
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    " - ], - "text/plain": [ - " Size: 8MB\n", - "array([[8.291679, 8.229179, 8.229179, ..., 6.35418 , 6.41668 , 6.72918 ],\n", - " [8.229179, 8.104179, 8.041679, ..., 6.85418 , 7.66668 , 7.47918 ],\n", - " [8.229179, 8.041679, 8.041679, ..., 7.22918 , 8.166679, 7.54168 ],\n", - " ...,\n", - " [5.10418 , 5.16668 , 5.04168 , ..., 9.354179, 9.541679, 8.666679],\n", - " [5.10418 , 5.16668 , 5.10418 , ..., 8.979179, 9.604179, 8.916679],\n", - " [4.97918 , 5.04168 , 5.04168 , ..., 8.354179, 8.166679, 8.041679]],\n", - " dtype=float32)\n", - "Coordinates:\n", - " time datetime64[ns] 8B 2024-05-20\n", - " step timedelta64[ns] 8B 01:00:00\n", - " heightAboveGround float64 8B 10.0\n", - " latitude (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n", - " longitude (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n", - " valid_time datetime64[ns] 8B 2024-05-20T01:00:00\n", - " gribfile_projection object 8B None\n", - "Dimensions without coordinates: y, x\n", - "Attributes: (12/37)\n", - " GRIB_paramId: 207\n", - " GRIB_dataType: fc\n", - " GRIB_numberOfPoints: 1905141\n", - " GRIB_typeOfLevel: heightAboveGround\n", - " GRIB_stepUnits: 1\n", - " GRIB_stepType: max\n", - " ... ...\n", - " GRIB_stepRange: 0-1\n", - " GRIB_units: m s**-1\n", - " long_name: 10 metre wind speed\n", - " units: m s**-1\n", - " standard_name: unknown\n", - " grid_mapping: gribfile_projection" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "wind = H.xarray(\"WIND\")\n", - "wind[\"si10\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "ed82851f-2be0-4d2c-bc40-e762b7053b60", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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    196 rows × 10 columns

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    " - ], - "text/plain": [ - " grib_message start_byte end_byte range \\\n", - "0 1 0 308735.0 0-308735 \n", - "1 2 308736 476217.0 308736-476217 \n", - "2 3 476218 804670.0 476218-804670 \n", - "3 4 804671 965750.0 804671-965750 \n", - "4 5 965751 2312548.0 965751-2312548 \n", - ".. ... ... ... ... \n", - "191 192 196129792 197575895.0 196129792-197575895 \n", - "192 193 197575896 199207080.0 197575896-199207080 \n", - "193 194 199207081 200845185.0 199207081-200845185 \n", - "194 195 200845186 202375883.0 200845186-202375883 \n", - "195 196 202375884 NaN 202375884- \n", - "\n", - " reference_time valid_time \\\n", - "0 2024-05-20 2024-05-20 01:00:00 \n", - "1 2024-05-20 2024-05-20 01:00:00 \n", - "2 2024-05-20 2024-05-20 01:00:00 \n", - "3 2024-05-20 2024-05-20 01:00:00 \n", - "4 2024-05-20 2024-05-20 01:00:00 \n", - ".. ... ... \n", - "191 2024-05-20 2024-05-20 01:00:00 \n", - "192 2024-05-20 2024-05-20 01:00:00 \n", - "193 2024-05-20 2024-05-20 01:00:00 \n", - "194 2024-05-20 2024-05-20 01:00:00 \n", - "195 2024-05-20 2024-05-20 01:00:00 \n", - "\n", - " variable level \\\n", - "0 REFC entire atmosphere \n", - "1 RETOP cloud top \n", - "2 var discipline=0 center=7 local_table=1 parmca... entire atmosphere \n", - "3 VIL entire atmosphere \n", - "4 VIS surface \n", - ".. ... ... \n", - "191 USWRF top of atmosphere \n", - "192 SBT123 top of atmosphere \n", - "193 SBT124 top of atmosphere \n", - "194 SBT113 top of atmosphere \n", - "195 SBT114 top of atmosphere \n", - "\n", - " forecast_time search_this \n", - "0 15 min fcst :REFC:entire atmosphere:15 min fcst \n", - "1 15 min fcst :RETOP:cloud top:15 min fcst \n", - "2 15 min fcst :var discipline=0 center=7 local_table=1 parmc... \n", - "3 15 min fcst :VIL:entire atmosphere:15 min fcst \n", - "4 15 min fcst :VIS:surface:15 min fcst \n", - ".. ... ... \n", - "191 60 min fcst :USWRF:top of atmosphere:60 min fcst \n", - "192 60 min fcst :SBT123:top of atmosphere:60 min fcst \n", - "193 60 min fcst :SBT124:top of atmosphere:60 min fcst \n", - "194 60 min fcst :SBT113:top of atmosphere:60 min fcst \n", - "195 60 min fcst :SBT114:top of atmosphere:60 min fcst \n", - "\n", - "[196 rows x 10 columns]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# check out the sub-hourly data\n", - "H = Herbie(\n", - " \"2024-05-20\",\n", - " model=\"hrrr\",\n", - " product=\"subh\",\n", - " fxx=1,\n", - ")\n", - "H.inventory()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "4764b4a6-e14d-4b30-a9be-57168ff3de68", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.Dataset> Size: 61MB\n",
    -       "Dimensions:              (step: 4, y: 1059, x: 1799)\n",
    -       "Coordinates:\n",
    -       "    time                 datetime64[ns] 8B 2024-05-20\n",
    -       "  * step                 (step) timedelta64[ns] 32B 00:15:00 ... 01:00:00\n",
    -       "    atmosphere           float64 8B 0.0\n",
    -       "    latitude             (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n",
    -       "    longitude            (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n",
    -       "    valid_time           (step) datetime64[ns] 32B 2024-05-20T00:15:00 ... 20...\n",
    -       "    gribfile_projection  object 8B None\n",
    -       "Dimensions without coordinates: y, x\n",
    -       "Data variables:\n",
    -       "    veril                (step, y, x) float32 30MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
    -       "Attributes:\n",
    -       "    GRIB_edition:            2\n",
    -       "    GRIB_centre:             kwbc\n",
    -       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
    -       "    GRIB_subCentre:          0\n",
    -       "    Conventions:             CF-1.7\n",
    -       "    institution:             US National Weather Service - NCEP\n",
    -       "    model:                   hrrr\n",
    -       "    product:                 subh\n",
    -       "    description:             High-Resolution Rapid Refresh - CONUS\n",
    -       "    remote_grib:             https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr....\n",
    -       "    local_grib:              /root/data/hrrr/20240520/subset_cee48f5c__hrrr.t...\n",
    -       "    search:                  VIL
    " - ], - "text/plain": [ - " Size: 61MB\n", - "Dimensions: (step: 4, y: 1059, x: 1799)\n", - "Coordinates:\n", - " time datetime64[ns] 8B 2024-05-20\n", - " * step (step) timedelta64[ns] 32B 00:15:00 ... 01:00:00\n", - " atmosphere float64 8B 0.0\n", - " latitude (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n", - " longitude (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n", - " valid_time (step) datetime64[ns] 32B 2024-05-20T00:15:00 ... 20...\n", - " gribfile_projection object 8B None\n", - "Dimensions without coordinates: y, x\n", - "Data variables:\n", - " veril (step, y, x) float32 30MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n", - "Attributes:\n", - " GRIB_edition: 2\n", - " GRIB_centre: kwbc\n", - " GRIB_centreDescription: US National Weather Service - NCEP\n", - " GRIB_subCentre: 0\n", - " Conventions: CF-1.7\n", - " institution: US National Weather Service - NCEP\n", - " model: hrrr\n", - " product: subh\n", - " description: High-Resolution Rapid Refresh - CONUS\n", - " remote_grib: https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr....\n", - " local_grib: /root/data/hrrr/20240520/subset_cee48f5c__hrrr.t...\n", - " search: VIL" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.xarray(\"VIL\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "da26ab44-4412-4f6e-9b94-68456e3464c1", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.2" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/pyproject.toml b/pyproject.toml index 0943572..851d709 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,16 +19,17 @@ classifiers = [ "Programming Language :: Python :: 3.11", ] requires-python = ">=3.8" -dependencies = ["stactools>=0.4.0"] +dependencies = [ + "herbie-data~=2024.5.0", + "stactools>=0.4.0", +] [project.optional-dependencies] dev = [ "black~=23.9", - "cfgrib~=0.9", "codespell~=2.2", - "herbie-data", "ipython~=8.24", - "jupyterlab", + "jupyterlab~=4.2.1", "mypy~=1.5", "pre-commit~=3.4", "pytest-cov~=4.1", diff --git a/scripts/update-examples b/scripts/update-examples index 87954a3..7b62c77 100755 --- a/scripts/update-examples +++ b/scripts/update-examples @@ -1,16 +1,25 @@ #!/usr/bin/env python import shutil +from datetime import datetime from pathlib import Path import stactools.noaa_hrrr.stac from pystac import CatalogType +from stactools.noaa_hrrr.constants import CloudProvider, Region root = Path(__file__).parents[1] examples = root / "examples" -collection = stactools.noaa_hrrr.stac.create_collection() -item = stactools.noaa_hrrr.stac.create_item(str(root / "tests" / "data" / "asset.tif")) +collection = stactools.noaa_hrrr.stac.create_collection( + cloud_provider=CloudProvider.azure +) +item = stactools.noaa_hrrr.stac.create_item( + reference_datetime=datetime(year=2024, month=5, day=10, hour=12), + forecast_hour=0, + region=Region.conus, + cloud_provider=CloudProvider.azure, +) collection.add_item(item) collection.update_extent_from_items() collection.normalize_hrefs(str(examples)) diff --git a/src/stactools/noaa_hrrr/commands.py b/src/stactools/noaa_hrrr/commands.py index 29533f5..71157be 100644 --- a/src/stactools/noaa_hrrr/commands.py +++ b/src/stactools/noaa_hrrr/commands.py @@ -1,8 +1,14 @@ import logging +from datetime import datetime import click from click import Command, Group from stactools.noaa_hrrr import stac +from stactools.noaa_hrrr.constants import ( + EXTENDED_FORECAST_MAX_HOUR, + CloudProvider, + Region, +) logger = logging.getLogger(__name__) @@ -21,28 +27,69 @@ def noaahrrr() -> None: "create-collection", short_help="Creates a STAC collection", ) - @click.argument("destination") - def create_collection_command(destination: str) -> None: + @click.argument("cloud_provider", type=click.STRING) + @click.argument("destination", type=click.STRING) + def create_collection_command(cloud_provider: str, destination: str) -> None: """Creates a STAC Collection Args: destination: An HREF for the Collection JSON """ - collection = stac.create_collection() + collection = stac.create_collection( + cloud_provider=CloudProvider.from_str(cloud_provider) + ) collection.set_self_href(destination) collection.save_object() @noaahrrr.command("create-item", short_help="Create a STAC item") - @click.argument("source") - @click.argument("destination") - def create_item_command(source: str, destination: str) -> None: + @click.argument("reference_datetime", type=click.DateTime(formats=["%Y-%m-%dT%H"])) + @click.argument("forecast_hour", type=click.IntRange(0, EXTENDED_FORECAST_MAX_HOUR)) + @click.argument("region", type=click.STRING) + @click.argument("cloud_provider", type=click.STRING) + @click.argument("destination", type=click.STRING) + def create_item_command( + reference_datetime: datetime, + forecast_hour: int, + region: str, + cloud_provider: str, + destination: str, + ) -> None: """Creates a STAC Item Args: - source: HREF of the Asset associated with the Item - destination: An HREF for the STAC Item + reference_datetime (datetime): datetime with year, month, day, and hour that + represents when the forecast was generated (cycle run hour) + forecast_hour (int): number of hours out from the reference_datetime for the + forecast + region (str): either 'conus' or 'alaska' + cloud_provider (str): one of 'azure', 'aws', or 'google' """ - item = stac.create_item(source) + item = stac.create_item( + reference_datetime=reference_datetime, + forecast_hour=forecast_hour, + region=Region.from_str(region), + cloud_provider=CloudProvider.from_str(cloud_provider), + ) item.save_object(dest_href=destination) + # @noaahrrr.command( + # "create-item-collection", + # short_help="Create a set of STAC items for a reference datetime", + # ) + # @click.argument("start_reference_date", type=click.DateTime(formats=["%Y-%m-%d"])) + # @click.argument("end_reference_date", type=click.DateTime(formats=["%Y-%m-%d"])) + # @click.argument("region", type=click.STRING) + # @click.argument("cloud_provider", type=click.STRING) + # @click.argument("destination", type=click.STRING) + # def create_item_collection_command( + # start_reference_date: datetime, + # end_reference_date: datetime, + # region: str, + # cloud_provider: str, + # destination: str, + # ): + # """Create collection of STAC items for a date range""" + # + # return + return noaahrrr diff --git a/src/stactools/noaa_hrrr/constants.py b/src/stactools/noaa_hrrr/constants.py new file mode 100644 index 0000000..86e6502 --- /dev/null +++ b/src/stactools/noaa_hrrr/constants.py @@ -0,0 +1,221 @@ +from dataclasses import dataclass +from datetime import datetime +from enum import Enum +from typing import Any, List, Type, TypeVar + +from rasterio.crs import CRS +from rasterio.warp import transform_bounds + +T = TypeVar("T", bound="StrEnum") + +ITEM_ID_FORMAT = "hrrr-{region}-{reference_datetime}-FH{forecast_hour}" +COLLECTION_ID = "noaa-hrrr" + +EXTENDED_FORECAST_MAX_HOUR = 48 +STANDARD_FORECAST_MAX_HOUR = 18 + + +class StrEnum(str, Enum): + """A string-based enum, that can lookup an enum value from a string. + + This is built-in in Python 3.11 but if you're not there yet... + """ + + @classmethod + def from_str(cls: Type[T], s: str) -> T: + """Look up an enum value by string.""" + for value in cls: + if value == s: + return value + raise ValueError(f"Could not parse value from string: {s}") + + +class CloudProvider(StrEnum): + """Cloud storage provider sources""" + + azure = "azure" + aws = "aws" + google = "google" + + +class Region(StrEnum): + """Values for the 'region' parameter in the HRRR hrefs""" + + conus = "conus" + # Herbie can't find Alaska data as of 2024-05-30 + alaska = "alaska" + + +class Variable(StrEnum): + """Values for the 'variable' parameter in the HRRR hrefs""" + + pressure = "prs" + native = "nat" + surface = "sfc" + sub_hourly = "subh" + + +@dataclass +class ForecastCycleType: + """Forecast cycle types""" + + type: str + + def __post_init__(self) -> None: + if self.type not in ["standard", "extended"]: + raise ValueError("Invalid forecast cycle type") + + self.max_forecast_hour = ( + STANDARD_FORECAST_MAX_HOUR + if self.type == "standard" + else EXTENDED_FORECAST_MAX_HOUR + ) + + # the available variables vary by forecast cycle type + self.variables = [ + Variable.pressure, + Variable.native, + Variable.surface, + ] + + if self.type == "standard": + self.variables.append(Variable.sub_hourly) + + @classmethod + def from_timestamp_and_region( + cls, reference_datetime: datetime, region: Region + ) -> "ForecastCycleType": + """Determine the forecast cycle type based on the timestamp of the cycle run + hour + + Extended forecasts are generated every six hours starting at hour 00 + """ + # no extended forecasts for alaska + if region == Region.alaska: + return cls("standard") + + extended = reference_datetime.hour % 6 == 0 + return cls("extended" if extended else "standard") + + def generate_forecast_hours(self) -> List[int]: + """Generate a list of forecast hours for the given forecast cycle type""" + return list(range(1, self.max_forecast_hour + 1)) + + def validate_forecast_hour(self, forecast_hour: int) -> None: + """Check if forecast hour is valid for the forecast type. + + Standard forecast cycles allow 0-18 + Extended forecast cycles allow 0-48 + """ + valid = 0 <= forecast_hour <= self.max_forecast_hour + if not valid: + raise ValueError( + ( + f"The provided forecast_hour ({forecast_hour}) is not compatible " + f"with the forecast cycle type ({str(self)})" + ) + ) + + def __str__(self) -> str: + return self.type + + +class ItemType(StrEnum): + """STAC item types""" + + grib = "grib" + # datacube = "datacube" + + +@dataclass +class RegionConfig: + item_bbox_proj: tuple[float, float, float, float] + item_crs: CRS + herbie_model_id: str + cycle_run_hours: List[int] + + def __post_init__(self) -> None: + """Get bounding box and geometry in EPSG:4326""" + self.bbox_4326 = transform_bounds( + self.item_crs, + CRS.from_epsg(4326), + *self.item_bbox_proj, + densify_pts=3, + ) + + @property + def geometry_4326(self) -> dict[str, Any]: + return { + "type": "Polygon", + "coordinates": ( + ( + (self.bbox_4326[2], self.bbox_4326[1]), + (self.bbox_4326[2], self.bbox_4326[3]), + (self.bbox_4326[0], self.bbox_4326[3]), + (self.bbox_4326[0], self.bbox_4326[1]), + (self.bbox_4326[2], self.bbox_4326[1]), + ), + ), + } + + +REGION_CONFIGS = { + Region.conus: RegionConfig( + item_bbox_proj=( + -2699020.142521929, + -1588806.152556665, + 2697979.857478071, + 1588193.847443335, + ), + item_crs=CRS.from_dict( + { + "proj": "lcc", + "lat_0": 38.5, + "lon_0": -97.5, + "lat_1": 38.5, + "lat_2": 38.5, + "x_0": 0, + "y_0": 0, + "R": 6371229, + "units": "m", + "no_defs": True, + } + ), + herbie_model_id="hrrr", + cycle_run_hours=[i for i in range(0, 24)], + ), + Region.alaska: RegionConfig( + item_bbox_proj=( + -3426551.0294707343, + -4100304.1031459086, + 470448.9705292657, + -1343304.1031459086, + ), + item_crs=CRS.from_dict( + { + "proj": "stere", + "lat_0": 90, + "lat_ts": 60, + "lon_0": 225, + "x_0": 0, + "y_0": 0, + "R": 6371229, + "units": "m", + "no_defs": True, + } + ), + herbie_model_id="hrrrak", + cycle_run_hours=[i for i in range(0, 24, 3)], + ), +} + +# override bbox for alaska since rasterio can't handle it (sets xmin to +156) +REGION_CONFIGS[Region.alaska].bbox_4326 = (-174.8849, 41.5960, -115.6988, 76.3464) + + +# each cloud provider has data starting from a different date +CLOUD_PROVIDER_START_DATES = { + CloudProvider.azure: datetime(year=2021, month=3, day=21), + CloudProvider.aws: datetime(year=2014, month=7, day=30), + CloudProvider.google: datetime(year=2014, month=7, day=30), +} diff --git a/src/stactools/noaa_hrrr/stac.py b/src/stactools/noaa_hrrr/stac.py index 346aaa5..f8e1518 100644 --- a/src/stactools/noaa_hrrr/stac.py +++ b/src/stactools/noaa_hrrr/stac.py @@ -1,6 +1,8 @@ -from datetime import datetime, timezone +from datetime import datetime, timedelta -import stactools.core.create +# from pystac.extensions.datacube import DatacubeExtension +import pystac +from herbie import Herbie from pystac import ( Collection, Extent, @@ -8,37 +10,146 @@ SpatialExtent, TemporalExtent, ) +from pystac.catalog import CatalogType +from pystac.extensions.item_assets import AssetDefinition +from pystac.provider import Provider, ProviderRole +from stactools.noaa_hrrr.constants import ( + CLOUD_PROVIDER_START_DATES, + ITEM_ID_FORMAT, + REGION_CONFIGS, + CloudProvider, + ForecastCycleType, + Region, + Variable, +) +GRIB2_MEDIA_TYPE = "application/wmo-GRIB2" -def create_collection() -> Collection: - """Creates a STAC Collection. +ITEM_ASSETS = { + Variable.surface: AssetDefinition( + { + "type": GRIB2_MEDIA_TYPE, + "roles": ["data"], + "title": "2D Surface Levels", + "description": ( + "2D Surface Level forecast data as a grib2 file. Subsets of the data " + "can be loaded using the provided byte range." + ), + } + ), + Variable.sub_hourly: AssetDefinition( + { + "type": GRIB2_MEDIA_TYPE, + "roles": ["data"], + "title": "2D Surface Levels - Sub Hourly", + "description": ( + "2D Surface Level forecast data (sub-hourly, 15 minute intervals) as a " + "grib2 file. Subsets of the data can be loaded using the provided byte " + "range." + ), + } + ), + Variable.pressure: AssetDefinition( + { + "type": GRIB2_MEDIA_TYPE, + "roles": ["data"], + "title": "3D Pressure Levels", + "description": ( + "3D Pressure Level forecast data as a grib2 file. Subsets of the data " + "can be loaded using the provided byte range." + ), + } + ), + Variable.native: AssetDefinition( + { + "type": GRIB2_MEDIA_TYPE, + "roles": ["data"], + "title": "Native Levels", + "description": ( + "Native Level forecast data as a grib2 file. Subsets of the data " + "can be loaded using the provided byte range." + ), + } + ), +} - This function should create a collection for this dataset. See `the STAC - specification - `_ - for information about collection fields, and - `Collection`_ - for information about the PySTAC class. +def create_collection(cloud_provider: CloudProvider) -> Collection: + """Creates a STAC Collection. + + Args: + cloud_provider: cloud provider cloud_provider from which items will be generated + Each cloud_provider has data available from a different start date. Returns: Collection: STAC Collection object """ extent = Extent( - SpatialExtent([[-180.0, 90.0, 180.0, -90.0]]), - TemporalExtent([[datetime.now(tz=timezone.utc), None]]), + SpatialExtent( + [region_config.bbox_4326 for region_config in REGION_CONFIGS.values()] + ), + TemporalExtent([[CLOUD_PROVIDER_START_DATES[cloud_provider], None]]), ) + providers = [ + Provider( + name="NOAA", + roles=[ProviderRole.PRODUCER], + url="https://www.noaa.gov/", + ) + ] + + links = [ + pystac.Link( + rel=pystac.RelType.LICENSE, + target="https://creativecommons.org/licenses/by/4.0/", + media_type="text/html", + title="CC-BY-4.0 license", + ), + pystac.Link( + rel="documentation", + target="https://rapidrefresh.noaa.gov/hrrr/", + media_type="text/html", + title="NOAA HRRR documentation", + ), + ] + + keywords = [ + "NOAA", + "HRRR", + "forecast", + "atmospheric", + "weather", + ] + collection = Collection( - id="example-collection", - title="Example collection", - description="An example collection", + id="noaa-hrrr", + title="NOAA High Resolution Rapid Refresh (HRRR) collection", + description=( + "The NOAA HRRR is a real-time 3km resolution, hourly updated, " + "cloud-resolving, convection-allowing atmospheric model, " + "initialized by 3km grids with 3km radar assimilation. Radar data is " + "assimilated in the HRRR every 15 min over a 1-hour period adding further " + "detail to that provided by the hourly data assimilation from the 13km " + "radar-enhanced Rapid Refresh (RAP) system." + ), extent=extent, - extra_fields={"custom_attribute": "foo"}, + license="CC-BY-4.0", + providers=providers, + catalog_type=CatalogType.RELATIVE_PUBLISHED, + keywords=keywords, ) + + collection.add_links(links) + return collection -def create_item(asset_href: str) -> Item: +def create_item( + reference_datetime: datetime, + forecast_hour: int, + region: Region, + cloud_provider: CloudProvider, +) -> Item: """Creates a STAC item from a raster asset. This example function uses :py:func:`stactools.core.utils.create_item` to @@ -61,7 +172,60 @@ def create_item(asset_href: str) -> Item: Returns: Item: STAC Item object """ - item = stactools.core.create.item(asset_href) - item.id = "example-item" - item.properties["custom_attribute"] = "foo" + config = REGION_CONFIGS[region] + + # make sure there is data for the reference_datetime + # (Alaska only runs the model every three hours) + if cycle_run_hour := reference_datetime.hour not in config.cycle_run_hours: + cycle_run_hours = [str(hour) for hour in config.cycle_run_hours] + raise ValueError( + f"{cycle_run_hour} is not a valid cycle run hour for {region.value}\n" + f"Please select one of {' ,'.join(cycle_run_hours)}" + ) + + # set up item + forecast_datetime = reference_datetime + timedelta(hours=forecast_hour) + + # the forecast_cycle_type defines the available forecast hours and variables + forecast_cycle_type = ForecastCycleType.from_timestamp_and_region( + reference_datetime=reference_datetime, region=region + ) + + forecast_cycle_type.validate_forecast_hour(forecast_hour) + + item = Item( + ITEM_ID_FORMAT.format( + reference_datetime=reference_datetime.strftime("%Y-%m-%dT%H"), + forecast_hour=forecast_hour, + region=region.value, + ), + geometry=config.geometry_4326, + bbox=config.bbox_4326, + datetime=forecast_datetime, + properties={ + "forecast:reference_time": reference_datetime.strftime("%Y-%m-%dT%H:%M:%S"), + "forecast:horizon": f"PT{forecast_hour}H", + "noaa-hrrr:forecast_cycle_type": str(forecast_cycle_type), + "noaa-hrrr:region": region.value, + }, + ) + + # loop through variables and add assets + for variable in forecast_cycle_type.variables: + herbie_metadata = Herbie( + reference_datetime, + model=config.herbie_model_id, + fxx=forecast_hour, + priority=[cloud_provider.value], + product=variable.value, + verbose=False, + ) + assert isinstance(herbie_metadata.grib, str) + item.assets[variable.value] = ITEM_ASSETS[variable].create_asset( + herbie_metadata.grib + ) + # datacube = DatacubeExtension.ext( + # item.assets[variable.value], # add_if_missing=True + # ) + return item diff --git a/tests/data/asset.tif b/tests/data/asset.tif deleted file mode 100644 index 54c83c7596c8957b1d29d50e935317e24f116eeb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 799760 zcmce-2T)Vp`!2c@nsgNrMVca_f>f271XMslL69OfpaKdAD!m3pMFB-Xq!SbbloIKk z&;*etO*)}UCqN*Cw0*Yc{=Rd+bLKy1?##J!GV^3T``yoaSAE~TlEAfVXMueH02~AW z7z+S{*c~p2{)f9l9R44^AG*i#AO5!n`+xY~I)eY=BLCuufALHI;eQ*s{4ah5#tQgD zK7PUhK<7XF4|IL&Uv>GycmNj22CxCZv*$bjJ4BB_92d?4NI?85#EZh=fEdJIK|C}I z4j4nckQD&3q3aJ2{|D#!q46CBfJ^_2{qOxTsF8nkM2PnaK;x7I09JVbNP>9jzwZBA zs|fk46#;<7^8g@n8~`3e5SN1b0?psQ{kB8>$v6oBZo&XyeHs9^A>ETx0N^YK035sk zzy&SCI5fDwb!d=g18VySF7_uK#6hfBVbP$9z~U=Apj^Zbv_oj=WCuz&*nv(? z4j@#413+1D0GiJ@0RLPLV6Tn?SncEhl=?V;iWv?-euV=#x61)Y^Xvl#j_w0C5&M7> z5B32wDf@tTh5LXvCHsK;75e~k>pnnXa35g2un*YJ%?UKgZ~{6vIRW7iPGI93C!o>J 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    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This is the forecast cycle type: extended\n" + ] + } + ], + "source": [ + "from datetime import datetime, timedelta\n", + "from pathlib import Path\n", + "from pystac import Collection, Item\n", + "from IPython.display import display\n", + "\n", + "import stactools.noaa_hrrr.stac\n", + "from stactools.noaa_hrrr.inventory import load_idx, read_idx\n", + "from stactools.noaa_hrrr.metadata import CloudProvider, Product, Region, parse_href\n", + "\n", + "\n", + "root = Path().cwd().parent\n", + "collection = Collection.from_file(str(root / \"examples\" / \"collection.json\"))\n", + "display(collection)\n", + "item = next(collection.get_items())\n", + "display(item)\n", + "print(f\"This is the forecast cycle type: {item.properties['noaa-hrrr:forecast_cycle_type']}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Creating items and collections\n", + "\n", + "Items can be created from a `region`, `product`, `cloud_provider`, `reference_datetime`, and `forecast_hour`." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "
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    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "item = stactools.noaa_hrrr.stac.create_item(\n", + " region=Region.conus,\n", + " product=Product.sfc,\n", + " cloud_provider=CloudProvider.azure,\n", + " reference_datetime=datetime.now() - timedelta(days=7),\n", + " forecast_hour=6,\n", + ")\n", + "display(item)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `parse_href` function can be used to parse the argument values from an `href`:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "
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    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "href = \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240613/conus/hrrr.t11z.wrfsfcf06.grib2\"\n", + "item = stactools.noaa_hrrr.create_item(**parse_href(href))\n", + "\n", + "display(item)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `create_item` function will load the `.grib2.idx` sidecar file from cloud storage in order to populate the asset-level metadata.\n", + "If you already have the `.grib2.idx` file available in memory, you can use the `create_item_from_idx_df` function:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "
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            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TMP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " DPT__1000_mb__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Dew Point Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"DPT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " UGRD__1000_mb__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"UGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGRD__1000_mb__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXUVV__100-1000_mb_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Upward Vertical Velocity in the lowest 400hPa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXUVV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"100-1000 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXDVV__100-1000_mb_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Downward Vertical Velocity in the lowest 400hPa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXDVV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"100-1000 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " DZDT__0.5-0.8_sigma_layer__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vertical Velocity (Geometric) \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"DZDT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0.5-0.8 sigma layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MSLMA__mean_sea_level__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MSLMA\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"mean sea level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__1000_mb__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXREF__1000_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Simulated Reflectivity at 1 km AGL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"dB\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXREF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " REFD__263_K_level__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Reflectivity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"dB\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"REFD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"263 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MXUPHL__5000-2000_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Updraft Helicity over Layer 2km to 5 km AGL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
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            • \n", + " level\n", + " \"5000-2000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MNUPHL__5000-2000_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Minimum of Updraft Helicity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " level\n", + " \"5000-2000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MXUPHL__2000-0_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Updraft Helicity over Layer 2km to 5 km AGL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MXUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MNUPHL__2000-0_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Minimum of Updraft Helicity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MNUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MXUPHL__3000-0_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Updraft Helicity over Layer 2km to 5 km AGL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MXUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"3000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MNUPHL__3000-0_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Minimum of Updraft Helicity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MNUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"3000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RELV__2000-0_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Vorticity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"1/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RELV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RELV__1000-0_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Vorticity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"1/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RELV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HAIL__entire_atmosphere__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hail\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HAIL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HAIL__0.1_sigma_level__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hail\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HAIL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0.1 sigma level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HAIL__surface__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hail\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HAIL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCOLG__entire_atmosphere_(considered_as_a_single_layer)__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Column Integrate Graupel\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCOLG\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LTNGSD__1_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LTNGSD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LTNGSD__2_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LTNGSD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LTNG__entire_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Lightning\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"non-dim\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LTNG\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " UGRD__80_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"UGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"80 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGRD__80_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"80 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRES__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Pa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PRES\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TMP__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TMP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ASNOW__surface__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Snowfall\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"ASNOW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MSTAV__0_m_underground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Moisture Availability\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MSTAV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0 m underground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CNWAT__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Plant Canopy Surface Water \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
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            • \n", + " variable\n", + " \"CNWAT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " WEASD__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Water Equivalent of Accumulated Snow Depth \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"WEASD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SNOWC__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Snow Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SNOWC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SNOD__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Snow Depth\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SNOD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TMP__2_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TMP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " POT__2_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Potential Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
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            • \n", + " variable\n", + " \"POT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SPFH__2_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Specific Humidity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/kg\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SPFH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " DPT__2_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Dew Point Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"DPT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RH__2_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Humidity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MASSDEN__8_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Mass Density (Concentration) \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^3\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MASSDEN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"8 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " UGRD__10_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"UGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGRD__10_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " WIND__10_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Wind Speed\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"WIND\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXUW__10_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXUW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXVW__10_m_above_ground__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXVW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CPOFP__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Percent frozen precipitation \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CPOFP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRATE__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Precipitation Rate\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PRATE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " APCP__surface__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Precipitation\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"APCP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " WEASD__surface__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Water Equivalent of Accumulated Snow Depth \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"WEASD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " FROZR__surface__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Frozen Rain\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"FROZR\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " FRZR__surface__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Freezing Rain\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"FRZR\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SSRUN__surface__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Storm Surface Runoff\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SSRUN\"\n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " BGRUN__surface__instantaneous\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Baseflow-Groundwater Runoff \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
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            • \n", + " variable\n", + " \"BGRUN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"instantaneous\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CSNOW__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Categorical Snow\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"-\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CSNOW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CICEP__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Categorical Ice Pellets\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"-\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CICEP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CFRZR__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Categorical Freezing Rain\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"-\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CFRZR\"\n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CRAIN__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Categorical Rain\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"-\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CRAIN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SFCR__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Surface Roughness\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SFCR\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " FRICV__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Frictional Velocity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"FRICV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SHTFL__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Sensible Heat Net Flux \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SHTFL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LHTFL__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Latent Heat Net Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LHTFL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VEG__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vegetation\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VEG\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VEGMIN__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VEGMIN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VEGMAX__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VEGMAX\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LAI__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Leaf Area Index\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Numeric\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LAI\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " GFLUX__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Ground Heat Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"GFLUX\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGTYP__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vegetation Type\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Integer(0- 13)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGTYP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LFTX__500-1000_mb__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Surface Lifted Index\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LFTX\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"500-1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CAPE__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Available Potential Energy\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CAPE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CIN__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Inhibition\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CIN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PWAT__entire_atmosphere_(considered_as_a_single_layer)__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Precipitable Water\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PWAT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " AOTK__entire_atmosphere_(considered_as_a_single_layer)__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Aerosol Optical Thickness \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Numeric\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"AOTK\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " COLMD__entire_atmosphere_(considered_as_a_single_layer)__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Column-Integrated Mass Density\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"COLMD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCOLW__entire_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCOLW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCOLI__entire_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCOLI\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCDC__boundary_layer_cloud_layer__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"boundary layer cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LCDC__low_cloud_layer__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Low Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"low cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MCDC__middle_cloud_layer__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Medium Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"middle cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HCDC__high_cloud_layer__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"High Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"high cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCDC__entire_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__cloud_ceiling__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud ceiling\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__cloud_base__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud base\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRES__cloud_base__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Pa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PRES\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud base\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRES__cloud_top__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Pa\"\n", + "
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            \n", + "
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          • \n", + " HGT__cloud_top__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Upward Long-Wave Rad. Flux \"\n", + "
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            \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Downward Short-Wave Radiation Flux\"\n", + "
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            \n", + "
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          • \n", + " DLWRF__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " USWRF__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Upward Short-Wave Radiation Flux\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ULWRF__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Upward Long-Wave Rad. Flux \"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CFNSF__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Cloud Forcing Net Solar Flux \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VBDSF__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Visible Beam Downward Solar Flux\"\n", + "
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            • \n", + " unit\n", + " \"W/m^2\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VDDSF__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Visible Diffuse Downward Solar Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + "
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            \n", + "
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          • \n", + " USTM__0-6000_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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          • \n", + " VSTM__0-6000_m_above_ground__analysis\n", + "
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            \n", + "
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          • \n", + " VUCSH__0-1000_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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          • \n", + " VUCSH__0-6000_m_above_ground__analysis\n", + "
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            \n", + "
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          • \n", + " VVCSH__0-6000_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__0C_isotherm__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RH__0C_isotherm__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Humidity\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRES__0C_isotherm__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure\"\n", + "
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            • \n", + " unit\n", + " \"Pa\"\n", + "
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            \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__253_K_level__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
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          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4LFTX__180-0_mb_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Best (4 layer) Lifted Index \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CAPE__180-0_mb_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Available Potential Energy\"\n", + "
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          • \n", + " CIN__180-0_mb_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HPBL__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Planetary Boundary Layer Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
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            \n", + "
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          • \n", + " HGT__level_of_adiabatic_condensation_from_sfc__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
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            \n", + "
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          • \n", + " CAPE__90-0_mb_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + "
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          • \n", + " CIN__90-0_mb_above_ground__analysis\n", + "
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            \n", + "
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          • \n", + " CAPE__255-0_mb_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + "
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          • \n", + " CIN__255-0_mb_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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          • \n", + " HGT__equilibrium_level__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + "
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          • \n", + " PLPL__255-0_mb_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure of level from which parcel was lifted\"\n", + "
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            \n", + "
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          • \n", + " CAPE__0-3000_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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          • \n", + " HGT__level_of_free_convection__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CANGLE__0-500_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LAYTH__261_K_level_-_256_K_level__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Layer Thickness\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
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            • \n", + " variable\n", + " \"LAYTH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"261 K level - 256 K level\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ESP__0-3000_m_above_ground__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"ESP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-3000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RHPW__entire_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Humidity with Respect to Precipitable Water \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RHPW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LAND__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Land Cover (0=sea, 1=land) \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Proportion\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LAND\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ICEC__surface__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Ice Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Proportion\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"ICEC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SBT123__top_of_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 12, Channel 3\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SBT123\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"top of atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SBT124__top_of_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 12, Channel 4\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SBT124\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"top of atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SBT113__top_of_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 11, Channel 3\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SBT113\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"top of atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SBT114__top_of_atmosphere__analysis\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 11, Channel 4\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SBT114\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"top of atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"analysis\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " REFC__entire_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Composite reflectivity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"dB\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"REFC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RETOP__cloud_top__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Echo Top\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RETOP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud top\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " var_discipline=0_center=7_local_table=1_parmcat=16_parm=201__entire_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"var discipline=0 center=7 local_table=1 parmcat=16 parm=201\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VIL__entire_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vertically-Integrated Liquid Water\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VIL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VIS__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Visibility\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
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            • \n", + " variable\n", + " \"VIS\"\n", + "
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            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " REFD__1000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Reflectivity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"dB\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"REFD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " REFD__4000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Reflectivity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"dB\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"REFD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"4000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " REFD__263_K_level__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Reflectivity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"dB\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"REFD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"263 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " GUST__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Wind Speed (Gust)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"GUST\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " UGRD__250_mb__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"UGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"250 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGRD__250_mb__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"250 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " UGRD__300_mb__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"UGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"300 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGRD__300_mb__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"300 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__500_mb__point_in_time\n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " UGRD__1000_mb__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"UGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGRD__1000_mb__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXUVV__100-1000_mb_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Upward Vertical Velocity in the lowest 400hPa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXUVV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"100-1000 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXDVV__100-1000_mb_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Downward Vertical Velocity in the lowest 400hPa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXDVV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"100-1000 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " DZDT__0.5-0.8_sigma_layer__periodic_ave\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vertical Velocity (Geometric) \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"DZDT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0.5-0.8 sigma layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MSLMA__mean_sea_level__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MSLMA\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"mean sea level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__1000_mb__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXREF__1000_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Simulated Reflectivity at 1 km AGL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"dB\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXREF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " REFD__263_K_level__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Reflectivity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"dB\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"REFD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"263 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MXUPHL__5000-2000_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Updraft Helicity over Layer 2km to 5 km AGL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MXUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"5000-2000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MNUPHL__5000-2000_m_above_ground__periodic_min\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Minimum of Updraft Helicity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MNUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"5000-2000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MXUPHL__2000-0_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Updraft Helicity over Layer 2km to 5 km AGL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MXUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MNUPHL__2000-0_m_above_ground__periodic_min\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Minimum of Updraft Helicity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MNUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MXUPHL__3000-0_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Maximum of Updraft Helicity over Layer 2km to 5 km AGL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MXUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"3000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MNUPHL__3000-0_m_above_ground__periodic_min\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hourly Minimum of Updraft Helicity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MNUPHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"3000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RELV__2000-0_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Vorticity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"1/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RELV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RELV__1000-0_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Vorticity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"1/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RELV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HAIL__entire_atmosphere__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hail\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HAIL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HAIL__0.1_sigma_level__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hail\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HAIL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0.1 sigma level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HAIL__surface__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Hail\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HAIL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCOLG__entire_atmosphere_(considered_as_a_single_layer)__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Column Integrate Graupel\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCOLG\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LTNGSD__1_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LTNGSD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LTNGSD__2_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LTNGSD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LTNG__entire_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Lightning\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"non-dim\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LTNG\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " UGRD__80_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"UGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"80 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGRD__80_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"80 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRES__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Pa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PRES\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TMP__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TMP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ASNOW__surface__periodic_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Snowfall\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"ASNOW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MSTAV__0_m_underground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Moisture Availability\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MSTAV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0 m underground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CNWAT__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Plant Canopy Surface Water \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CNWAT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " WEASD__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Water Equivalent of Accumulated Snow Depth \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"WEASD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SNOWC__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Snow Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SNOWC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SNOD__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Snow Depth\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SNOD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TMP__2_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TMP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " POT__2_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Potential Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"POT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SPFH__2_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Specific Humidity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/kg\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SPFH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " DPT__2_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Dew Point Temperature\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"DPT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RH__2_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Humidity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MASSDEN__8_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Mass Density (Concentration) \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^3\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MASSDEN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"8 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " UGRD__10_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"UGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGRD__10_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGRD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " WIND__10_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Wind Speed\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"WIND\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXUW__10_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXUW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MAXVW__10_m_above_ground__periodic_max\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MAXVW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CPOFP__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Percent frozen precipitation \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CPOFP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRATE__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Precipitation Rate\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PRATE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " APCP__surface__periodic_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Precipitation\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"APCP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " WEASD__surface__periodic_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Water Equivalent of Accumulated Snow Depth \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"WEASD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " FROZR__surface__periodic_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Frozen Rain\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"FROZR\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " FRZR__surface__periodic_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Freezing Rain\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"FRZR\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SSRUN__surface__periodic_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Storm Surface Runoff\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SSRUN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " BGRUN__surface__periodic_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Baseflow-Groundwater Runoff \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"BGRUN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"periodic_summary\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CSNOW__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Categorical Snow\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"-\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CSNOW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CICEP__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Categorical Ice Pellets\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"-\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CICEP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CFRZR__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Categorical Freezing Rain\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"-\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CFRZR\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CRAIN__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Categorical Rain\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"-\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CRAIN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SFCR__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Surface Roughness\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SFCR\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " FRICV__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Frictional Velocity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"FRICV\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SHTFL__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Sensible Heat Net Flux \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"SHTFL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LHTFL__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Latent Heat Net Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LHTFL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VEG__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vegetation\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VEG\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VEGMIN__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VEGMIN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VEGMAX__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VEGMAX\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LAI__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Leaf Area Index\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Numeric\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LAI\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " GFLUX__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Ground Heat Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"GFLUX\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VGTYP__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vegetation Type\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Integer(0- 13)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VGTYP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LFTX__500-1000_mb__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Surface Lifted Index\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LFTX\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"500-1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CAPE__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Available Potential Energy\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CAPE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CIN__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Inhibition\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CIN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PWAT__entire_atmosphere_(considered_as_a_single_layer)__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Precipitable Water\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PWAT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " AOTK__entire_atmosphere_(considered_as_a_single_layer)__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Aerosol Optical Thickness \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Numeric\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"AOTK\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " COLMD__entire_atmosphere_(considered_as_a_single_layer)__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Column-Integrated Mass Density\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"COLMD\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCOLW__entire_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCOLW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCOLI__entire_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCOLI\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCDC__boundary_layer_cloud_layer__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"boundary layer cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LCDC__low_cloud_layer__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Low Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"low cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " MCDC__middle_cloud_layer__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Medium Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"MCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"middle cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HCDC__high_cloud_layer__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"High Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"high cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " TCDC__entire_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Cloud Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"TCDC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__cloud_ceiling__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud ceiling\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__cloud_base__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud base\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRES__cloud_base__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Pa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PRES\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud base\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRES__cloud_top__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Pa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PRES\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud top\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__cloud_top__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"cloud top\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ULWRF__top_of_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Upward Long-Wave Rad. Flux \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"ULWRF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"top of atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " DSWRF__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Downward Short-Wave Radiation Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"DSWRF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " DLWRF__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Downward Long-Wave Rad. Flux \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"DLWRF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " USWRF__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Upward Short-Wave Radiation Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"USWRF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ULWRF__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Upward Long-Wave Rad. Flux \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"ULWRF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CFNSF__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Cloud Forcing Net Solar Flux \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CFNSF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VBDSF__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Visible Beam Downward Solar Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VBDSF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VDDSF__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Visible Diffuse Downward Solar Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VDDSF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " USWRF__top_of_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Upward Short-Wave Radiation Flux\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"W/m^2\"\n", + "
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            • \n", + " variable\n", + " \"USWRF\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"top of atmosphere\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HLCY__3000-0_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Storm Relative Helicity \"\n", + "
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            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"3000-0 m above ground\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HLCY__1000-0_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Storm Relative Helicity \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
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            • \n", + " variable\n", + " \"HLCY\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"1000-0 m above ground\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " USTM__0-6000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"U-Component Storm Motion \"\n", + "
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            • \n", + " unit\n", + " \"m/s\"\n", + "
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            • \n", + " variable\n", + " \"USTM\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-6000 m above ground\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VSTM__0-6000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"V-Component Storm Motion \"\n", + "
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            • \n", + " variable\n", + " \"VSTM\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-6000 m above ground\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VUCSH__0-1000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vertical U-Component Shear \"\n", + "
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            • \n", + " variable\n", + " \"VUCSH\"\n", + "
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            • \n", + " level\n", + " \"0-1000 m above ground\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VVCSH__0-1000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vertical V-Component Shear \"\n", + "
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            • \n", + " unit\n", + " \"1/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VVCSH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-1000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VUCSH__0-6000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vertical U-Component Shear \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"1/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VUCSH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-6000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " VVCSH__0-6000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Vertical V-Component Shear \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"1/s\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"VVCSH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-6000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__0C_isotherm__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0C isotherm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RH__0C_isotherm__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Humidity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0C isotherm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " unit\n", + " \"Pa\"\n", + "
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            • \n", + " variable\n", + " \"PRES\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0C isotherm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"highest tropospheric freezing level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RH__highest_tropospheric_freezing_level__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Humidity\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"highest tropospheric freezing level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PRES__highest_tropospheric_freezing_level__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Pa\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"PRES\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"highest tropospheric freezing level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__263_K_level__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"263 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__253_K_level__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"253 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4LFTX__180-0_mb_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Best (4 layer) Lifted Index \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"4LFTX\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"180-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CAPE__180-0_mb_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Available Potential Energy\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CAPE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"180-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CIN__180-0_mb_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Inhibition\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CIN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"180-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HPBL__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Planetary Boundary Layer Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HPBL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__level_of_adiabatic_condensation_from_sfc__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"level of adiabatic condensation from sfc\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CAPE__90-0_mb_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Available Potential Energy\"\n", + "
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            • \n", + " unit\n", + " \"J/kg\"\n", + "
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            • \n", + " variable\n", + " \"CAPE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"90-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CIN__90-0_mb_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Inhibition\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
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            • \n", + " variable\n", + " \"CIN\"\n", + "
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            • \n", + " level\n", + " \"90-0 mb above ground\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CAPE__255-0_mb_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Available Potential Energy\"\n", + "
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            • \n", + " unit\n", + " \"J/kg\"\n", + "
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            • \n", + " variable\n", + " \"CAPE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"255-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CIN__255-0_mb_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Inhibition\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
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            • \n", + " variable\n", + " \"CIN\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"255-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__equilibrium_level__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
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            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"equilibrium level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " PLPL__255-0_mb_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Pressure of level from which parcel was lifted\"\n", + "
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            • \n", + " unit\n", + " \"Pa\"\n", + "
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            • \n", + " variable\n", + " \"PLPL\"\n", + "
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            • \n", + " level\n", + " \"255-0 mb above ground\"\n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CAPE__0-3000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Convective Available Potential Energy\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"J/kg\"\n", + "
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            • \n", + " variable\n", + " \"CAPE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-3000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " HGT__level_of_free_convection__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Geopotential Height\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"gpm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"HGT\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"level of free convection\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " EFHL__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"EFHL\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " CANGLE__0-500_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"CANGLE\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-500 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LAYTH__261_K_level_-_256_K_level__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Layer Thickness\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"m\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LAYTH\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"261 K level - 256 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ESP__0-3000_m_above_ground__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " nan\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"ESP\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"0-3000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " RHPW__entire_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Relative Humidity with Respect to Precipitable Water \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"%\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"RHPW\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " LAND__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Land Cover (0=sea, 1=land) \"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Proportion\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"LAND\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " ICEC__surface__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Ice Cover\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"Proportion\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " variable\n", + " \"ICEC\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " level\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SBT123__top_of_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 12, Channel 3\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
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            • \n", + " variable\n", + " \"SBT123\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            • \n", + " forecast_layer_type\n", + " \"point_in_time\"\n", + "
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          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SBT124__top_of_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 12, Channel 4\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
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          • \n", + " SBT113__top_of_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 11, Channel 3\"\n", + "
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            • \n", + " unit\n", + " \"K\"\n", + "
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          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " SBT114__top_of_atmosphere__point_in_time\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 11, Channel 4\"\n", + "
            • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
            • \n", + " unit\n", + " \"K\"\n", + "
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            • \n", + " description\n", + " \"Total Snowfall\"\n", + "
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          • \n", + " APCP__surface__cumulative_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Total Precipitation\"\n", + "
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            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
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            \n", + "
          • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
          • \n", + " WEASD__surface__cumulative_acc\n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " description\n", + " \"Water Equivalent of Accumulated Snow Depth \"\n", + "
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            • \n", + " unit\n", + " \"kg/m^2\"\n", + "
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            • \n", + " description\n", + " \"Frozen Rain\"\n", + "
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          \n", + " \n", + "
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        • \n", + " step\n", + " \"PT1H\"\n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " level\n", + "
          \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"atmospheric level\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"The atmospheric level for which the forecast is applicable, e.g. surface, top of atmosphere, 100 m above ground, etc.\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " values[] 50 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"0 m underground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"0-1000 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"0-3000 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"0-500 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"0-6000 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"0.1 sigma level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 6\n", + " \"0.5-0.8 sigma layer\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 7\n", + " \"0C isotherm\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 8\n", + " \"1 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 9\n", + " \"10 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 10\n", + " \"100-1000 mb above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 11\n", + " \"1000 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 12\n", + " \"1000 mb\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 13\n", + " \"1000-0 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 14\n", + " \"180-0 mb above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 15\n", + " \"2 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 16\n", + " \"2000-0 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 17\n", + " \"250 mb\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 18\n", + " \"253 K level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 19\n", + " \"255-0 mb above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 20\n", + " \"261 K level - 256 K level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 21\n", + " \"263 K level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 22\n", + " \"300 mb\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 23\n", + " \"3000-0 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 24\n", + " \"4000 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 25\n", + " \"500 mb\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 26\n", + " \"500-1000 mb\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 27\n", + " \"5000-2000 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 28\n", + " \"700 mb\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 29\n", + " \"8 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 30\n", + " \"80 m above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 31\n", + " \"850 mb\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 32\n", + " \"90-0 mb above ground\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 33\n", + " \"925 mb\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 34\n", + " \"boundary layer cloud layer\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 35\n", + " \"cloud base\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 36\n", + " \"cloud ceiling\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 37\n", + " \"cloud top\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 38\n", + " \"entire atmosphere\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 39\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 40\n", + " \"equilibrium level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 41\n", + " \"high cloud layer\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 42\n", + " \"highest tropospheric freezing level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 43\n", + " \"level of adiabatic condensation from sfc\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 44\n", + " \"level of free convection\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 45\n", + " \"low cloud layer\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 46\n", + " \"mean sea level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 47\n", + " \"middle cloud layer\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 48\n", + " \"surface\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 49\n", + " \"top of atmosphere\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " forecast_valid\n", + "
          \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"temporal\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"The time horizon for which the forecast is applicable.\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " values[] 292 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"0-0 day acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"0-0 day ave fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"0-0 day max fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"0-0 day min fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"0-1 day acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"0-1 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 6\n", + " \"0-1 hour ave fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 7\n", + " \"0-1 hour max fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 8\n", + " \"0-1 hour min fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 9\n", + " \"0-10 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 10\n", + " \"0-11 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 11\n", + " \"0-12 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 12\n", + " \"0-13 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 13\n", + " \"0-14 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 14\n", + " \"0-15 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 15\n", + " \"0-16 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 16\n", + " \"0-17 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 17\n", + " \"0-18 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 18\n", + " \"0-19 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 19\n", + " \"0-2 day acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 20\n", + " \"0-2 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 21\n", + " \"0-20 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 22\n", + " \"0-21 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 23\n", + " \"0-22 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 24\n", + " \"0-23 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 25\n", + " \"0-25 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 26\n", + " \"0-26 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 27\n", + " \"0-27 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 28\n", + " \"0-28 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 29\n", + " \"0-29 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 30\n", + " \"0-3 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 31\n", + " \"0-30 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 32\n", + " \"0-31 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 33\n", + " \"0-32 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 34\n", + " \"0-33 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 35\n", + " \"0-34 hour acc fcst\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 36\n", + " \"0-35 hour acc fcst\"\n", + "
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          • \n", + " 61\n", + " \"10-11 hour acc fcst\"\n", + "
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          • \n", + " 70\n", + " \"12 hour fcst\"\n", + "
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          • \n", + " 75\n", + " \"13 hour fcst\"\n", + "
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          • \n", + " 76\n", + " \"13-14 hour acc fcst\"\n", + "
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          • \n", + " 79\n", + " \"13-14 hour min fcst\"\n", + "
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          • \n", + " 80\n", + " \"14 hour fcst\"\n", + "
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          • \n", + " 121\n", + " \"21-22 hour acc fcst\"\n", + "
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          • \n", + " 123\n", + " \"21-22 hour max fcst\"\n", + "
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          • \n", + " 124\n", + " \"21-22 hour min fcst\"\n", + "
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          • \n", + " 125\n", + " \"22 hour fcst\"\n", + "
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          • \n", + " 126\n", + " \"22-23 hour acc fcst\"\n", + "
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            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " description\n", + " \"Aerosol Optical Thickness \"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"entire atmosphere (considered as a single layer)\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            • \n", + " 0\n", + " \"0-0 day acc fcst\"\n", + "
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            • \n", + " 6\n", + " \"0-4 hour acc fcst\"\n", + "
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            • \n", + " 7\n", + " \"3-4 hour acc fcst\"\n", + "
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            • \n", + " 8\n", + " \"0-5 hour acc fcst\"\n", + "
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            • \n", + " 9\n", + " \"4-5 hour acc fcst\"\n", + "
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            • \n", + " 10\n", + " \"0-6 hour acc fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"5-6 hour acc fcst\"\n", + "
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            • \n", + " 12\n", + " \"0-7 hour acc fcst\"\n", + "
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            • \n", + " 14\n", + " \"0-8 hour acc fcst\"\n", + "
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            • \n", + " 19\n", + " \"9-10 hour acc fcst\"\n", + "
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            • \n", + " 20\n", + " \"0-11 hour acc fcst\"\n", + "
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            • \n", + " 23\n", + " \"11-12 hour acc fcst\"\n", + "
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            • \n", + " 24\n", + " \"0-13 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"12-13 hour acc fcst\"\n", + "
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            • \n", + " 26\n", + " \"0-14 hour acc fcst\"\n", + "
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            • \n", + " 27\n", + " \"13-14 hour acc fcst\"\n", + "
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            • \n", + " 28\n", + " \"0-15 hour acc fcst\"\n", + "
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            • \n", + " 29\n", + " \"14-15 hour acc fcst\"\n", + "
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            • \n", + " 30\n", + " \"0-16 hour acc fcst\"\n", + "
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            • \n", + " 31\n", + " \"15-16 hour acc fcst\"\n", + "
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            • \n", + " 32\n", + " \"0-17 hour acc fcst\"\n", + "
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            • \n", + " 33\n", + " \"16-17 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"0-18 hour acc fcst\"\n", + "
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            • \n", + " 35\n", + " \"17-18 hour acc fcst\"\n", + "
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            • \n", + " 36\n", + " \"0-19 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"18-19 hour acc fcst\"\n", + "
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            • \n", + " 38\n", + " \"0-20 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"19-20 hour acc fcst\"\n", + "
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            • \n", + " 40\n", + " \"0-21 hour acc fcst\"\n", + "
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            • \n", + " 41\n", + " \"20-21 hour acc fcst\"\n", + "
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            • \n", + " 45\n", + " \"22-23 hour acc fcst\"\n", + "
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            • \n", + " 47\n", + " \"23-24 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"0-25 hour acc fcst\"\n", + "
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            • \n", + " 49\n", + " \"24-25 hour acc fcst\"\n", + "
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            • \n", + " 50\n", + " \"0-26 hour acc fcst\"\n", + "
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            • \n", + " 51\n", + " \"25-26 hour acc fcst\"\n", + "
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            • \n", + " 52\n", + " \"0-27 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 53\n", + " \"26-27 hour acc fcst\"\n", + "
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            • \n", + " 54\n", + " \"0-28 hour acc fcst\"\n", + "
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            • \n", + " 55\n", + " \"27-28 hour acc fcst\"\n", + "
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            • \n", + " 56\n", + " \"0-29 hour acc fcst\"\n", + "
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            • \n", + " 57\n", + " \"28-29 hour acc fcst\"\n", + "
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            • \n", + " 58\n", + " \"0-30 hour acc fcst\"\n", + "
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            • \n", + " 59\n", + " \"29-30 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 60\n", + " \"0-31 hour acc fcst\"\n", + "
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            • \n", + " 61\n", + " \"30-31 hour acc fcst\"\n", + "
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            • \n", + " 62\n", + " \"0-32 hour acc fcst\"\n", + "
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            • \n", + " 63\n", + " \"31-32 hour acc fcst\"\n", + "
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            • \n", + " 64\n", + " \"0-33 hour acc fcst\"\n", + "
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            • \n", + " 65\n", + " \"32-33 hour acc fcst\"\n", + "
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            • \n", + " 66\n", + " \"0-34 hour acc fcst\"\n", + "
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            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " description\n", + " \"Cloud Forcing Net Solar Flux \"\n", + "
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        • \n", + " unit\n", + " \"W/m^2\"\n", + "
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            \n", + " \n", + " \n", + "
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            \n", + " \n", + "
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          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
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        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " CIN\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Convective Inhibition\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"J/kg\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 4 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"180-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"90-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"255-0 mb above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
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      • \n", + " CPOFP\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Percent frozen precipitation \"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"%\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"W/m^2\"\n", + "
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            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Dew Point Temperature\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"K\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 6 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"500 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"700 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"850 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"925 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " DSWRF\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Downward Short-Wave Radiation Flux\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"W/m^2\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " DZDT\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Vertical Velocity (Geometric) \"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"m/s\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 2 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"700 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"0.5-0.8 sigma layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 98 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"0-0 day ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"0-1 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"1-2 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"2-3 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"3-4 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"4-5 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"5-6 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"6-7 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"7-8 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"8-9 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"9-10 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"10-11 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"11-12 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"12-13 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"13-14 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"14-15 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"15-16 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"16-17 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"17-18 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"18-19 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"19-20 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"20-21 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"21-22 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"22-23 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 49\n", + " \"23-24 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 50\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 51\n", + " \"24-25 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 52\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 53\n", + " \"25-26 hour ave fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            • \n", + " 6\n", + " \"0-4 hour acc fcst\"\n", + "
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            • \n", + " 7\n", + " \"3-4 hour acc fcst\"\n", + "
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            • \n", + " 8\n", + " \"0-5 hour acc fcst\"\n", + "
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            • \n", + " 9\n", + " \"4-5 hour acc fcst\"\n", + "
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            • \n", + " 10\n", + " \"0-6 hour acc fcst\"\n", + "
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            • \n", + " 11\n", + " \"5-6 hour acc fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 24\n", + " \"0-13 hour acc fcst\"\n", + "
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            • \n", + " 25\n", + " \"12-13 hour acc fcst\"\n", + "
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            • \n", + " 26\n", + " \"0-14 hour acc fcst\"\n", + "
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            • \n", + " 27\n", + " \"13-14 hour acc fcst\"\n", + "
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            • \n", + " 28\n", + " \"0-15 hour acc fcst\"\n", + "
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            • \n", + " 30\n", + " \"0-16 hour acc fcst\"\n", + "
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            • \n", + " 31\n", + " \"15-16 hour acc fcst\"\n", + "
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            • \n", + " 32\n", + " \"0-17 hour acc fcst\"\n", + "
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            • \n", + " 33\n", + " \"16-17 hour acc fcst\"\n", + "
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            • \n", + " 34\n", + " \"0-18 hour acc fcst\"\n", + "
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            • \n", + " 35\n", + " \"17-18 hour acc fcst\"\n", + "
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            • \n", + " 36\n", + " \"0-19 hour acc fcst\"\n", + "
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            • \n", + " 50\n", + " \"0-26 hour acc fcst\"\n", + "
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            • \n", + " 51\n", + " \"25-26 hour acc fcst\"\n", + "
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            • \n", + " 52\n", + " \"0-27 hour acc fcst\"\n", + "
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            • \n", + " 53\n", + " \"26-27 hour acc fcst\"\n", + "
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            • \n", + " 54\n", + " \"0-28 hour acc fcst\"\n", + "
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            • \n", + " 55\n", + " \"27-28 hour acc fcst\"\n", + "
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            • \n", + " 56\n", + " \"0-29 hour acc fcst\"\n", + "
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            • \n", + " 57\n", + " \"28-29 hour acc fcst\"\n", + "
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            • \n", + " 58\n", + " \"0-30 hour acc fcst\"\n", + "
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            • \n", + " 59\n", + " \"29-30 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 60\n", + " \"0-31 hour acc fcst\"\n", + "
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            • \n", + " 61\n", + " \"30-31 hour acc fcst\"\n", + "
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            • \n", + " 62\n", + " \"0-32 hour acc fcst\"\n", + "
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            • \n", + " 63\n", + " \"31-32 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 64\n", + " \"0-33 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 65\n", + " \"32-33 hour acc fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            • \n", + " 4\n", + " \"3-4 hour max fcst\"\n", + "
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            • \n", + " 5\n", + " \"4-5 hour max fcst\"\n", + "
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            • \n", + " 6\n", + " \"5-6 hour max fcst\"\n", + "
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            • \n", + " 7\n", + " \"6-7 hour max fcst\"\n", + "
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            • \n", + " 8\n", + " \"7-8 hour max fcst\"\n", + "
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            • \n", + " 9\n", + " \"8-9 hour max fcst\"\n", + "
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            • \n", + " 10\n", + " \"9-10 hour max fcst\"\n", + "
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            • \n", + " 11\n", + " \"10-11 hour max fcst\"\n", + "
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            • \n", + " 12\n", + " \"11-12 hour max fcst\"\n", + "
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            • \n", + " 24\n", + " \"23-24 hour max fcst\"\n", + "
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            • \n", + " 25\n", + " \"24-25 hour max fcst\"\n", + "
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            • \n", + " 26\n", + " \"25-26 hour max fcst\"\n", + "
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            • \n", + " 27\n", + " \"26-27 hour max fcst\"\n", + "
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            • \n", + " 28\n", + " \"27-28 hour max fcst\"\n", + "
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            • \n", + " 29\n", + " \"28-29 hour max fcst\"\n", + "
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            • \n", + " 30\n", + " \"29-30 hour max fcst\"\n", + "
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            • \n", + " 31\n", + " \"30-31 hour max fcst\"\n", + "
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            • \n", + " 32\n", + " \"31-32 hour max fcst\"\n", + "
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            • \n", + " 33\n", + " \"32-33 hour max fcst\"\n", + "
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            • \n", + " 34\n", + " \"33-34 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"34-35 hour max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"35-36 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"36-37 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"37-38 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"38-39 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"39-40 hour max fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 41\n", + " \"40-41 hour max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"42-43 hour max fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 44\n", + " \"43-44 hour max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
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            • \n", + " 47\n", + " \"46-47 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"47-48 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
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        \n", + "
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      • \n", + " HCDC\n", + "
          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"High Cloud Cover\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"%\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"high cloud layer\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " HGT\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Geopotential Height\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"gpm\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 15 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"500 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"700 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"850 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"cloud ceiling\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"cloud base\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"cloud top\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"0C isotherm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"highest tropospheric freezing level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"263 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"253 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"level of adiabatic condensation from sfc\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"equilibrium level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"level of free convection\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " HLCY\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Storm Relative Helicity \"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 2 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"3000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " description\n", + " \"Leaf Area Index\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"Numeric\"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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        • \n", + " unit\n", + " \"Proportion\"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
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        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Layer Thickness\"\n", + "
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            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"261 K level - 256 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
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        • \n", + " description\n", + " \"Low Cloud Cover\"\n", + "
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        • \n", + " unit\n", + " \"%\"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"low cloud layer\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            • \n", + " 0\n", + " \"100-1000 mb above ground\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"0-0 day max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"1-2 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"2-3 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"3-4 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"4-5 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"5-6 hour max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"6-7 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"7-8 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"8-9 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"9-10 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"10-11 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"11-12 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"12-13 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"13-14 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"14-15 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"15-16 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"16-17 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"17-18 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"18-19 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"3-4 hour min fcst\"\n", + "
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            • \n", + " 5\n", + " \"4-5 hour min fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"5-6 hour min fcst\"\n", + "
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            • \n", + " 7\n", + " \"6-7 hour min fcst\"\n", + "
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            • \n", + " 8\n", + " \"7-8 hour min fcst\"\n", + "
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            • \n", + " 10\n", + " \"9-10 hour min fcst\"\n", + "
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            • \n", + " 12\n", + " \"11-12 hour min fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"17-18 hour min fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"19-20 hour min fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"20-21 hour min fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"23-24 hour min fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"24-25 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"25-26 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"26-27 hour min fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"27-28 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"28-29 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"29-30 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"30-31 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"31-32 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"32-33 hour min fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"33-34 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"34-35 hour min fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"36-37 hour min fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"37-38 hour min fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"38-39 hour min fcst\"\n", + "
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            • \n", + " 43\n", + " \"42-43 hour min fcst\"\n", + "
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            • \n", + " 47\n", + " \"46-47 hour min fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 48\n", + " \"47-48 hour min fcst\"\n", + "
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          \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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          \n", + " \n", + "
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          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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        • \n", + " description\n", + " \"Moisture Availability\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
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            \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
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        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " MXUPHL\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Hourly Maximum of Updraft Helicity over Layer 2km to 5 km AGL\"\n", + "
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        • \n", + " unit\n", + " \"m^2/s^2\"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 3 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"5000-2000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"2000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"3000-0 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"0-0 day max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"0-1 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"1-2 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"2-3 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"3-4 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"4-5 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"5-6 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"6-7 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"7-8 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"8-9 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"9-10 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"10-11 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"11-12 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"12-13 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"13-14 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"14-15 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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          • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Precipitation Rate\"\n", + "
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            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " description\n", + " \"Pressure\"\n", + "
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        • \n", + " unit\n", + " \"Pa\"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 5 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"cloud base\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"cloud top\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"0C isotherm\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"highest tropospheric freezing level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
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            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
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            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " REFC\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Composite reflectivity\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"dB\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"entire atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
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        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " REFD\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Reflectivity\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"dB\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 3 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"1000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"4000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"263 K level\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 98 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"0-0 day max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"0-1 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"1-2 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"2-3 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"3-4 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"4-5 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"5-6 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"6-7 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"7-8 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"8-9 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"9-10 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"10-11 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"11-12 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"12-13 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"13-14 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"14-15 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"15-16 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"16-17 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"17-18 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"18-19 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"19-20 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"20-21 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"21-22 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"22-23 hour max fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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        • \n", + " description\n", + " \"Relative Humidity with Respect to Precipitable Water \"\n", + "
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            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"entire atmosphere\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
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        • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 11, Channel 3\"\n", + "
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            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"top of atmosphere\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"top of atmosphere\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
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          \n", + "
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        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " SBT123\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Simulated Brightness Temperature for GOES 12, Channel 3\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"K\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"top of atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " description\n", + " \"Sensible Heat Net Flux \"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"W/m^2\"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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          • \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " SPFH\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Specific Humidity\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"kg/kg\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"2 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 0\n", + " \"0-0 day acc fcst\"\n", + "
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            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
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            \n", + " \n", + "
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            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 24\n", + " \"23-24 hour max fcst\"\n", + "
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            • \n", + " 25\n", + " \"24-25 hour max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"27-28 hour max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"30-31 hour max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"31-32 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"32-33 hour max fcst\"\n", + "
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            • \n", + " 35\n", + " \"34-35 hour max fcst\"\n", + "
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            • \n", + " 37\n", + " \"36-37 hour max fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 39\n", + " \"38-39 hour max fcst\"\n", + "
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            • \n", + " 40\n", + " \"39-40 hour max fcst\"\n", + "
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            • \n", + " 41\n", + " \"40-41 hour max fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " ULWRF\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Upward Long-Wave Rad. Flux \"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"W/m^2\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 2 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"top of atmosphere\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 0\n", + " \"0-6000 m above ground\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"top of atmosphere\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
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          \n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
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        • \n", + " description\n", + " \"Visible Beam Downward Solar Flux\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"W/m^2\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
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            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " VGRD\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"V-Component of Wind\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"m/s\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 9 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"250 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"300 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"500 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"700 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"850 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"925 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"1000 mb\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"80 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"10 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
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            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
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            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
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            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
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            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
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        • \n", + " description\n", + " \"Vegetation Type\"\n", + "
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        • \n", + " unit\n", + " \"Integer(0- 13)\"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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          \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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            \n", + " \n", + " \n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"entire atmosphere\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
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            \n", + " \n", + "
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        \n", + "
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          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
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          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
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        • \n", + " description\n", + " \"Visibility\"\n", + "
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        • \n", + " unit\n", + " \"m\"\n", + "
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        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
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            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
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            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
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            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
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            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
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            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
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            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
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            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
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            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
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              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + "
          \n", + "
        • \n", + " \n", + " \n", + " \n", + "
        \n", + "
      • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      • \n", + " VVCSH\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 0\n", + " \"x\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Vertical V-Component Shear \"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"1/s\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 2 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"0-1000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"0-6000 m above ground\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 49 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"23 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"24 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"25 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"26 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"27 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"28 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"29 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"30 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"31 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"32 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"33 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"34 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"35 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"36 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"37 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"38 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"39 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"40 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"41 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"42 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"43 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"44 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"45 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"46 hour fcst\"\n", + "
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            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"47 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"48 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
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          \n", + "
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      • \n", + " WEASD\n", + "
          \n", + " \n", + " \n", + "
        • \n", + " dimensions[] 6 items\n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 1\n", + " \"y\"\n", + "
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          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 2\n", + " \"reference_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 3\n", + " \"valid_time\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 4\n", + " \"level\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
            \n", + " \n", + " \n", + " \n", + "
          • \n", + " 5\n", + " \"forecast_valid\"\n", + "
          • \n", + " \n", + " \n", + " \n", + "
          \n", + " \n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " type\n", + " \"data\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " description\n", + " \"Water Equivalent of Accumulated Snow Depth \"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " unit\n", + " \"kg/m^2\"\n", + "
        • \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
        • \n", + " dimension_domains\n", + "
            \n", + " \n", + " \n", + "
          • \n", + " level[] 1 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"surface\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
          • \n", + " \n", + " \n", + " \n", + "
          • \n", + " forecast_valid[] 145 items\n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 0\n", + " \"anl\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 1\n", + " \"0-0 day acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 2\n", + " \"1 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 3\n", + " \"0-1 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 4\n", + " \"2 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 5\n", + " \"0-2 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 6\n", + " \"1-2 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 7\n", + " \"3 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 8\n", + " \"0-3 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 9\n", + " \"2-3 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 10\n", + " \"4 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 11\n", + " \"0-4 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 12\n", + " \"3-4 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 13\n", + " \"5 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 14\n", + " \"0-5 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 15\n", + " \"4-5 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 16\n", + " \"6 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 17\n", + " \"0-6 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 18\n", + " \"5-6 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 19\n", + " \"7 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 20\n", + " \"0-7 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 21\n", + " \"6-7 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 22\n", + " \"8 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 23\n", + " \"0-8 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 24\n", + " \"7-8 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 25\n", + " \"9 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 26\n", + " \"0-9 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 27\n", + " \"8-9 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 28\n", + " \"10 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 29\n", + " \"0-10 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 30\n", + " \"9-10 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 31\n", + " \"11 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 32\n", + " \"0-11 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 33\n", + " \"10-11 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 34\n", + " \"12 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 35\n", + " \"0-12 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 36\n", + " \"11-12 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 37\n", + " \"13 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 38\n", + " \"0-13 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 39\n", + " \"12-13 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 40\n", + " \"14 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 41\n", + " \"0-14 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 42\n", + " \"13-14 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 43\n", + " \"15 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 44\n", + " \"0-15 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 45\n", + " \"14-15 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 46\n", + " \"16 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 47\n", + " \"0-16 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 48\n", + " \"15-16 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 49\n", + " \"17 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 50\n", + " \"0-17 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 51\n", + " \"16-17 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 52\n", + " \"18 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 53\n", + " \"0-18 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 54\n", + " \"17-18 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 55\n", + " \"19 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 56\n", + " \"0-19 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 57\n", + " \"18-19 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 58\n", + " \"20 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 59\n", + " \"0-20 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 60\n", + " \"19-20 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 61\n", + " \"21 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 62\n", + " \"0-21 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 63\n", + " \"20-21 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 64\n", + " \"22 hour fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
            \n", + " \n", + "
              \n", + " \n", + " \n", + " \n", + "
            • \n", + " 65\n", + " \"0-22 hour acc fcst\"\n", + "
            • \n", + " \n", + " \n", + " \n", + "
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      • \n", - " rel\n", - " \"parent\"\n", - "
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        • \n", - " href\n", - " \"/opt/stactools-noaa-hrrr/examples/collection.json\"\n", + " 0\n", + " \"x\"\n", "
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        \n", + " \n", + "
          \n", + " \n", " \n", " \n", "
        • \n", - " type\n", - " \"application/json\"\n", + " 1\n", + " \"y\"\n", "
        • \n", " \n", " \n", " \n", + "
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          \n", + " \n", " \n", " \n", "
        • \n", - " title\n", - " \"NOAA High Resolution Rapid Refresh (HRRR) collection\"\n", + " 2\n", + " \"reference_time\"\n", "
        • \n", " \n", " \n", " \n", "
        \n", - "
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          \n", + " \n", + " \n", + " \n", + "
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      • \n", - " prs\n", + "
      • \n", + " 4\n", + " \"level\"\n", + "
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        \n", " \n", " \n", " \n", "
      • \n", - " href\n", - " \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfprsf00.grib2\"\n", + " 5\n", + " \"forecast_valid\"\n", "
      • \n", " \n", " \n", " \n", + "
      \n", + " \n", + "
    • \n", + " \n", + " \n", " \n", " \n", "
    • \n", " type\n", - " \"application/wmo-GRIB2\"\n", + " \"data\"\n", "
    • \n", " \n", " \n", @@ -1233,8 +266848,8 @@ " \n", " \n", "
    • \n", - " title\n", - " \"3D Pressure Levels\"\n", + " description\n", + " \"Wind Speed\"\n", "
    • \n", " \n", " \n", @@ -1242,15 +266857,21 @@ " \n", " \n", "
    • \n", - " description\n", - " \"3D Pressure Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.\"\n", + " unit\n", + " \"m/s\"\n", "
    • \n", " \n", " \n", " \n", " \n", + " \n", + "
    • \n", + " dimension_domains\n", + "
        \n", + " \n", + " \n", "
      • \n", - " roles[] 1 items\n", + " level[] 1 items\n", " \n", "
          \n", " \n", @@ -1258,7 +266879,7 @@ " \n", "
        • \n", " 0\n", - " \"data\"\n", + " \"10 m above ground\"\n", "
        • \n", " \n", " \n", @@ -1268,228 +266889,251 @@ "
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      • \n", - " href\n", - " \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfnatf00.grib2\"\n", + " 0\n", + " \"0-0 day max fcst\"\n", "
      • \n", " \n", " \n", " \n", + "
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        \n", + " \n", " \n", " \n", "
      • \n", - " type\n", - " \"application/wmo-GRIB2\"\n", + " 1\n", + " \"0-1 hour max fcst\"\n", "
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      • \n", - " title\n", - " \"Native Levels\"\n", + " 2\n", + " \"1-2 hour max fcst\"\n", "
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        \n", + " \n", " \n", " \n", "
      • \n", - " description\n", - " \"Native Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.\"\n", + " 3\n", + " \"2-3 hour max fcst\"\n", "
      • \n", " \n", " \n", " \n", - " \n", - "
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    • \n", - " href\n", - " \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfsfcf00.grib2\"\n", + " 6\n", + " \"5-6 hour max fcst\"\n", "
    • \n", " \n", " \n", " \n", + "
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      \n", + " \n", " \n", " \n", "
    • \n", - " type\n", - " \"application/wmo-GRIB2\"\n", + " 7\n", + " \"6-7 hour max fcst\"\n", "
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      \n", + " \n", " \n", " \n", "
    • \n", - " title\n", - " \"2D Surface Levels\"\n", + " 8\n", + " \"7-8 hour max fcst\"\n", "
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      \n", + " \n", " \n", " \n", "
    • \n", - " description\n", - " \"2D Surface Level forecast data as a grib2 file. Subsets of the data can be loaded using the provided byte range.\"\n", + " 9\n", + " \"8-9 hour max fcst\"\n", "
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  • \n", - " subh\n", + " \n", + " \n", "
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    • \n", - " href\n", - " \"https://noaahrrr.blob.core.windows.net/hrrr/hrrr.20240510/conus/hrrr.t12z.wrfsubhf00.grib2\"\n", + " 12\n", + " \"11-12 hour max fcst\"\n", "
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    • \n", - " title\n", - " \"2D Surface Levels - Sub Hourly\"\n", + " 14\n", + " \"13-14 hour max fcst\"\n", "
    • \n", " \n", " \n", " \n", + "
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    • \n", - " description\n", - " \"2D Surface Level forecast data (sub-hourly, 15 minute intervals) as a grib2 file. Subsets of the data can be loaded using the provided byte range.\"\n", + " 15\n", + " \"14-15 hour max fcst\"\n", "
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    • \n", - " 0\n", - " \"data\"\n", + " 16\n", + " \"15-16 hour max fcst\"\n", "
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    • \n", " \n", " \n", @@ -1501,8 +267145,8 @@ " \n", " \n", "
    • \n", - " 1\n", - " 21.122192719272277\n", + " 19\n", + " \"18-19 hour max fcst\"\n", "
    • \n", " \n", " \n", @@ -1514,8 +267158,8 @@ " \n", " \n", "
    • \n", - " 2\n", - " -60.891244531606546\n", + " 20\n", + " \"19-20 hour max fcst\"\n", "
    • \n", " \n", " \n", @@ -1527,212 +267171,139 @@ " \n", " \n", "
    • \n", - " 3\n", - " 52.62870335266728\n", + " 21\n", + " \"20-21 hour max fcst\"\n", "
    • \n", " \n", " \n", " \n", "
    \n", " \n", - "
  • \n", - " \n", - " \n", - " \n", - "
  • \n", - " stac_extensions[] 0 items\n", + "
      \n", " \n", - "
  • \n", - " \n", " \n", " \n", - " \n", "
  • \n", - " collection\n", - " \"noaa-hrrr\"\n", + " 22\n", + " \"21-22 hour max fcst\"\n", "
  • \n", " \n", - " \n", " \n", - " \n", - "
    \n", - "
    " - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This is the forecast cycle type: extended\n" - ] - } - ], - "source": [ - "from datetime import datetime, timedelta\n", - "from pathlib import Path\n", - "from pystac import Collection, Item\n", - "from IPython.display import display\n", - "\n", - "import stactools.noaa_hrrr.stac\n", - "from stactools.noaa_hrrr.constants import Region, CloudProvider\n", - "\n", - "\n", - "root = Path().cwd().parent\n", - "collection = Collection.from_file(str(root / \"examples\" / \"collection.json\"))\n", - "display(collection)\n", - "item = next(collection.get_items())\n", - "display(item)\n", - "print(f\"This is the forecast cycle type: {item.properties['noaa-hrrr:forecast_cycle_type']}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Creating items and collections\n", - "\n", - "Items can be created from a `reference_datetime`, `forecast_hour`, `region`, and `cloud_provider`.\n", - "Items are added to collections using the standard pystac interface." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "
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      • \n", - " type\n", - " \"text/html\"\n", + " 29\n", + " \"28-29 hour max fcst\"\n", "
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      • \n", - " href\n", - " \"https://rapidrefresh.noaa.gov/hrrr/\"\n", + " 34\n", + " \"33-34 hour max fcst\"\n", "
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      • \n", - " type\n", - " \"text/html\"\n", + " 35\n", + " \"34-35 hour max fcst\"\n", "
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      • \n", - " title\n", - " \"NOAA HRRR documentation\"\n", + " 36\n", + " \"35-36 hour max fcst\"\n", "
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      • \n", - " href\n", - " None\n", + " 40\n", + " \"39-40 hour max fcst\"\n", "
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      • \n", - " 2\n", - " -60.891244531606546\n", + " 47\n", + " \"46-47 hour max fcst\"\n", "
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  • \n", + " title\n", + " \"NOAA High Resolution Rapid Refresh (HRRR) - 2D surface levels - conus\"\n", + "
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          • \n", " 3\n", - " 76.3464\n", + " 52.62870335266728\n", "
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  • " ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2207,13 +267858,11 @@ } ], "source": [ - "item = stactools.noaa_hrrr.stac.create_item(\n", - " reference_datetime=datetime.now() - timedelta(days=7),\n", - " forecast_hour=6,\n", + "collection = stactools.noaa_hrrr.stac.create_collection(\n", " region=Region.conus,\n", - " cloud_provider=CloudProvider.azure,\n", + " product=Product.sfc,\n", + " cloud_provider=CloudProvider.azure\n", ")\n", - "collection = stactools.noaa_hrrr.stac.create_collection(cloud_provider=CloudProvider.azure)\n", "collection.add_item(item)\n", "display(collection)" ] @@ -2235,7 +267884,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.2" + "version": "3.12.3" } }, "nbformat": 4, diff --git a/pyproject.toml b/pyproject.toml index d72de77..23d3b96 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,7 +22,7 @@ requires-python = ">=3.8" dependencies = [ "httpx~=0.27.0", "pandas~=2.2.2", - "parse~1.20.2", + "parse~=1.20.2", "pystac~=1.10.1", "rasterio~=1.3.10", "stactools>=0.4.0", diff --git a/src/stactools/noaa_hrrr/__init__.py b/src/stactools/noaa_hrrr/__init__.py index 76915af..42e6aeb 100644 --- a/src/stactools/noaa_hrrr/__init__.py +++ b/src/stactools/noaa_hrrr/__init__.py @@ -1,8 +1,19 @@ import stactools.core from stactools.cli.registry import Registry +from stactools.noaa_hrrr.inventory import load_idx, read_idx +from stactools.noaa_hrrr.metadata import CloudProvider, Product, Region, parse_href from stactools.noaa_hrrr.stac import create_collection, create_item -__all__ = ["create_collection", "create_item"] +__all__ = [ + "CloudProvider", + "Product", + "Region", + "create_collection", + "create_item", + "load_idx", + "parse_href", + "read_idx", +] stactools.core.use_fsspec() diff --git a/src/stactools/noaa_hrrr/data/inventory__alaska__nat.csv.gz b/src/stactools/noaa_hrrr/data/inventory__alaska__nat.csv.gz index 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z*gwY~`Ts@a4IO0gw{dMZq;9(wxl-*k$ThC0%$OR*P3I1JnneM7HRmk9Npj;o!kaVn zcEsUOmwce%xA^S=&$qv}#J_E&ogVfIhD%5=+8vt{fo!Ih*&ww``qwTSn|imcU=;7f zF)yQtX*%*s?|VHP&dl}NF@1(iYxcv4I)L2qqPcHW4B4lyFxM2-e>4)`t?4K;e&qL} zsi%3y-*~1+bPgB9{t4jBaBOFAVI^ed7Okzm^)>NG6Rqcn-sHS!`+muXi$MLuGMBi? zS9-g6PeZK$zJ*%#!DmGaZ?bps-OFV5 z{Lh1!OhS7d+K!%LuUOd8vY`9k5E2|Lq7kK;o|vJnmFw@$U<(>|8iiVnx?gK|kLhzp zy3C0vNL+-I2E2J0xu-f4*alNST0OwD pd.DataFrame: - """Load variable inventory DataFrame + """Read variable inventory DataFrame Load the inventory of variables with descriptions, units, and level/forecast time dimension values for a given region/product/forecast_hour_set/forecast_cycle_type @@ -182,19 +183,27 @@ def load_inventory_df( return inventory_df +def read_variable_description_df() -> pd.DataFrame: + """Read the variable description dataframe""" + return pd.read_csv( + DATA_DIR / VARIABLE_DESCRIPTIONS_CSV_GZ, + ) + + # Define custom exceptions class NotFoundError(Exception): pass -def read_idx( +def load_idx( region: Region, product: Product, cloud_provider: CloudProvider, reference_datetime: datetime, forecast_hour: int, -) -> pd.DataFrame: - """Read the contents of a .idx file, heavily cribbed from Herbie""" +) -> StringIO: + """Load the contents of a .idx file in a format that can be read by pandas""" + region_config = REGION_CONFIGS[region] cloud_provider_config = CLOUD_PROVIDER_CONFIGS[cloud_provider] @@ -222,13 +231,19 @@ def read_idx( read_this_idx = StringIO(response.text) response.close() + return read_this_idx + + +def read_idx(idx: Union[str, StringIO]) -> pd.DataFrame: + """Read the contents of a .idx file, heavily cribbed from Herbie""" + df = pd.read_csv( - read_this_idx, + idx, sep=":", names=[ GRIB_MESSAGE, - "start_byte", - "reference_time", + START_BYTE, + REFERENCE_TIME, VARIABLE, LEVEL, FORECAST_VALID, @@ -240,7 +255,6 @@ def read_idx( # Format the DataFrame df[REFERENCE_TIME] = pd.to_datetime(df.reference_time, format="d=%Y%m%d%H") - df[VALID_TIME] = df[REFERENCE_TIME] + timedelta(hours=forecast_hour) df[START_BYTE] = df[START_BYTE].astype(int) df[BYTE_SIZE] = (df[START_BYTE].shift(-1) - df[START_BYTE]).astype(pd.Int64Dtype()) df = df.reindex( @@ -249,7 +263,6 @@ def read_idx( START_BYTE, BYTE_SIZE, REFERENCE_TIME, - VALID_TIME, VARIABLE, LEVEL, FORECAST_VALID, @@ -257,9 +270,18 @@ def read_idx( "??", "???", ] - ) + ).dropna(how="all", axis=1) - return df.dropna(how="all", axis=1) + # load the dataframe with units/descriptions for each variable + variable_description_df = read_variable_description_df() + + df = df.merge( + variable_description_df[[VARIABLE, DESCRIPTION, UNIT]], + how="left", + on=VARIABLE, + ).replace(pd.NA, None) + + return df def generate_single_inventory_df( @@ -272,11 +294,13 @@ def generate_single_inventory_df( Loads the inventory dataframe from a .idx file""" idx_df = read_idx( - region=region, - product=product, - cloud_provider=CloudProvider.azure, - reference_datetime=dummy_datetime + timedelta(hours=cycle_run_hour), - forecast_hour=forecast_hour, + idx=load_idx( + region=region, + product=product, + cloud_provider=CloudProvider.azure, + reference_datetime=dummy_datetime + timedelta(hours=cycle_run_hour), + forecast_hour=forecast_hour, + ), ) out = idx_df.assign( region=region.value, @@ -289,8 +313,41 @@ def generate_single_inventory_df( return out +def generate_variable_descriptions_csv_gz(dest_dir: Path) -> None: + """Read the NOAA inventory files and create a csv with the units and human-readable + descriptions of each variable""" + dfs = [] + for region in Region: + for product in Product: + for forecast_hour_set in PRODUCT_CONFIGS[product].forecast_hour_sets: + # get the variable descriptions from the NOAA inventory tables + noaa_inventory = pd.read_html( + NOAA_INVENTORY_URLS[region, product, forecast_hour_set], + )[1] + + noaa_inventory[[DESCRIPTION, UNIT]] = noaa_inventory[ + "Description" + ].str.extract(r"(.+?) \[(.+?)\]") + + variable_descriptions = ( + noaa_inventory[["Parameter", DESCRIPTION, UNIT]] + .drop_duplicates() + .rename(columns={"Parameter": VARIABLE}) + ) + + dfs.append(variable_descriptions) + + variable_descriptions_csv_gz = dest_dir / VARIABLE_DESCRIPTIONS_CSV_GZ + pd.concat(dfs).drop_duplicates().to_csv(variable_descriptions_csv_gz, index=False) + + logging.info(f"Data successfully written to {variable_descriptions_csv_gz}") + + def generate_inventory_csv_gzs(dest_dir: Path) -> None: """Generate all inventory dataframes and write to .csv.gz files""" + generate_variable_descriptions_csv_gz(dest_dir) + + variable_descriptions = pd.read_csv(dest_dir / VARIABLE_DESCRIPTIONS_CSV_GZ) forecast_cycle_type = ForecastCycleType("extended") cycle_run_hour = 0 for region in Region: @@ -321,21 +378,6 @@ def generate_inventory_csv_gzs(dest_dir: Path) -> None: n_rows = inventory_df.shape[0] - # get the variable descriptions from the NOAA inventory tables - noaa_inventory = pd.read_html( - NOAA_INVENTORY_URLS[region, product, forecast_hour_set], - )[1] - - noaa_inventory[[DESCRIPTION, UNIT]] = noaa_inventory[ - "Description" - ].str.extract(r"(.+?) \[(.+?)\]") - - variable_descriptions = ( - noaa_inventory[["Parameter", DESCRIPTION, UNIT]] - .drop_duplicates() - .rename(columns={"Parameter": VARIABLE}) - ) - # add the variable descriptions inventory_df = inventory_df.merge( variable_descriptions, on=VARIABLE, how="left" diff --git a/src/stactools/noaa_hrrr/metadata.py b/src/stactools/noaa_hrrr/metadata.py index 37efa44..8f1939a 100644 --- a/src/stactools/noaa_hrrr/metadata.py +++ b/src/stactools/noaa_hrrr/metadata.py @@ -429,7 +429,7 @@ def parse_href( return { "region": region, - "product": url_params["product"], + "product": Product(url_params["product"]), "cloud_provider": cloud_provider, "reference_datetime": reference_datetime, "forecast_hour": url_params["fxx"], diff --git a/src/stactools/noaa_hrrr/stac.py b/src/stactools/noaa_hrrr/stac.py index 52f8a1d..1d94664 100644 --- a/src/stactools/noaa_hrrr/stac.py +++ b/src/stactools/noaa_hrrr/stac.py @@ -3,7 +3,6 @@ from datetime import datetime, timedelta from typing import Union -import numpy as np import pandas as pd import pystac from pystac import ( @@ -40,7 +39,12 @@ VALID_TIME, VARIABLE, ) -from stactools.noaa_hrrr.inventory import NotFoundError, load_inventory_df, read_idx +from stactools.noaa_hrrr.inventory import ( + NotFoundError, + load_idx, + read_idx, + read_inventory_df, +) from stactools.noaa_hrrr.metadata import ( CLOUD_PROVIDER_CONFIGS, PRODUCT_CONFIGS, @@ -165,10 +169,10 @@ def create_collection( product_config = PRODUCT_CONFIGS[product] cloud_provider_config = CLOUD_PROVIDER_CONFIGS[cloud_provider] - inventory_df = load_inventory_df( + inventory_df = read_inventory_df( region=region, product=product, - ).replace(np.nan, None) + ) extent = Extent( SpatialExtent([region_config.bbox_4326]), @@ -403,12 +407,6 @@ def create_item( Item: STAC Item object """ region_config = REGION_CONFIGS[region] - cloud_provider_config = CLOUD_PROVIDER_CONFIGS[cloud_provider] - inventory_df = load_inventory_df( - region=region, - product=product, - forecast_hour=forecast_hour, - ) # make sure there is data for the reference_datetime # (Alaska only runs the model every three hours) @@ -419,6 +417,67 @@ def create_item( f"Please select one of {' ,'.join(cycle_run_hours)}" ) + # read the .idx sidecar file into a dataframe + idx_df = read_idx( + idx=load_idx( + region=region, + product=product, + cloud_provider=cloud_provider, + reference_datetime=reference_datetime, + forecast_hour=forecast_hour, + ), + ) + + return create_item_from_idx_df( + idx_df=idx_df, + region=region, + product=product, + cloud_provider=cloud_provider, + reference_datetime=reference_datetime, + forecast_hour=forecast_hour, + ) + + +def create_item_from_idx_df( + idx_df: pd.DataFrame, + region: Region, + product: Product, + cloud_provider: CloudProvider, + reference_datetime: datetime, + forecast_hour: int, +) -> Item: + """Creates a STAC item for a region x product x cloud provider x reference_datetime + (cycle run hour) combination and a provided idx dataframe. + + Args: + idx_df (pandas.DataFrame): Dataframe with the contents of the .idx file as read + by stactools.noaa_hrrr.inventory.read_idx + region (Region): Either Region.conus or Region.Alaska + product (Product): The product for this collection, must be one of the members + of the Product Enum. + cloud_provider (CloudProvider): cloud provider for the assets. Must be a member + of the CloudProvider Enum. Each cloud_provider has data available from a + different start date. + reference_datetime (datetime): The reference datetime for the forecast data, + corresponds to 'date' + 'cycle run hour' + forecast_hour (int): The forecast hour (FH) for the item. + This will set the item's datetime property ('date' + 'cycle run hour' + + 'forecast hour') + + Returns: + Item: STAC Item object + """ + region_config = REGION_CONFIGS[region] + cloud_provider_config = CLOUD_PROVIDER_CONFIGS[cloud_provider] + + grib_url = cloud_provider_config.url_base + region_config.format_grib_url( + product=product, + reference_datetime=reference_datetime, + forecast_hour=forecast_hour, + idx=False, + ) + idx_url = grib_url + ".idx" + # set up item forecast_datetime = reference_datetime + timedelta(hours=forecast_hour) @@ -447,14 +506,6 @@ def create_item( }, ) - grib_url = cloud_provider_config.url_base + region_config.format_grib_url( - product=product, - reference_datetime=reference_datetime, - forecast_hour=forecast_hour, - idx=False, - ) - idx_url = grib_url + ".idx" - item.assets[ItemType.GRIB.value] = ITEM_BASE_ASSETS[product][ ItemType.GRIB ].create_asset(grib_url) @@ -464,21 +515,6 @@ def create_item( ].create_asset(idx_url) # create an asset for each row in the inventory dataframe - idx_df = ( - read_idx( - region=region, - product=product, - cloud_provider=cloud_provider, - reference_datetime=reference_datetime, - forecast_hour=forecast_hour, - ) - .merge( - inventory_df[[VARIABLE, DESCRIPTION, UNIT]].drop_duplicates(), - how="left", - on=VARIABLE, - ) - .replace(np.nan, None) - ) grib_asset = item.assets[ItemType.GRIB.value] grib_asset.extra_fields[GRIB_LAYERS] = {} for _, row in idx_df[ @@ -511,8 +547,6 @@ def create_item( **forecast_layer_type.asset_properties(), } - # add render params - return item @@ -523,6 +557,7 @@ def create_item_safe( reference_datetime: datetime, forecast_hour: int, ) -> Union[Item, None]: + """Try to create an item and raise a warning if it fails""" try: return create_item( region, product, cloud_provider, reference_datetime, forecast_hour @@ -558,7 +593,7 @@ def create_item_collection( reference_date += one_day print(f"creating {len(tasks)} items") - with mp.Pool(8) as pool: + with mp.Pool() as pool: items = pool.starmap(create_item_safe, tasks) return ItemCollection(item for item in items if item is not None) diff --git a/tests/test_inventory.py b/tests/test_inventory.py index 7a6918e..a54003f 100644 --- a/tests/test_inventory.py +++ b/tests/test_inventory.py @@ -4,7 +4,7 @@ DESCRIPTION_COLS, INVENTORY_COLS, generate_single_inventory_df, - load_inventory_df, + read_inventory_df, ) from stactools.noaa_hrrr.metadata import ( PRODUCT_CONFIGS, @@ -21,11 +21,11 @@ @pytest.mark.parametrize("region", list(Region)) # type: ignore @pytest.mark.parametrize("product", list(Product)) # type: ignore -def test_load_inventory_df( +def test_read_inventory_df( region: Region, product: Product, ) -> None: - inventory_df = load_inventory_df( + inventory_df = read_inventory_df( region=region, product=product, ) diff --git a/tests/test_stac.py b/tests/test_stac.py index 7505152..2ade9a1 100644 --- a/tests/test_stac.py +++ b/tests/test_stac.py @@ -6,6 +6,7 @@ COLLECTION_ID_FORMAT, ITEM_ID_FORMAT, ) +from stactools.noaa_hrrr.inventory import NotFoundError from stactools.noaa_hrrr.metadata import ( REGION_CONFIGS, CloudProvider, @@ -98,7 +99,7 @@ def test_create_item_collection() -> None: def test_create_item_forecast_cycle_type() -> None: # try making an invalid forecast for a stand forecast cycle - with pytest.raises(ValueError): + with pytest.raises(NotFoundError): _ = stac.create_item( product=Product.sfc, reference_datetime=datetime(year=2024, month=5, day=1, hour=3), From ac73b679974ab1bb52ac272c16d1ca53adc42ba0 Mon Sep 17 00:00:00 2001 From: hrodmn Date: Thu, 20 Jun 2024 08:41:43 -0500 Subject: [PATCH 47/48] update changelog --- CHANGELOG.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index b18ebcf..8aff035 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -11,7 +11,10 @@ number as needed. ### Added -- Nothing. +- Initial package setup +- Collection creation +- Item creation +- `grib:layers` asset property for describing individual layers within a GRIB2 file ### Deprecated From 56ead36b99fadf1a23ea6eb0675696425b43b87c Mon Sep 17 00:00:00 2001 From: hrodmn Date: Thu, 20 Jun 2024 08:51:54 -0500 Subject: [PATCH 48/48] update examples --- examples/collection.json | 6 +-- .../hrrr-conus-sfc-2024-05-10T12-FH0.json | 54 +++++++++---------- .../hrrr-conus-sfc-2024-05-10T12-FH2.json | 54 +++++++++---------- 3 files changed, 57 insertions(+), 57 deletions(-) diff --git a/examples/collection.json b/examples/collection.json index 6f73600..bb41a47 100644 --- a/examples/collection.json +++ b/examples/collection.json @@ -1,6 +1,6 @@ { "type": "Collection", - "id": "noaa-hrrr-sfc", + "id": "noaa-hrrr-sfc-conus", "stac_version": "1.0.0", "description": "The NOAA HRRR is a real-time 3km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-hour period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh (RAP) system. This specific collection represents 2D surface levels for the conus region.", "links": [ @@ -9102,8 +9102,8 @@ "temporal": { "interval": [ [ - "2024-05-10T12:00:00Z", - "2024-05-10T14:00:00Z" + "2021-03-21T00:00:00Z", + null ] ] } diff --git a/examples/hrrr-conus-sfc-2024-05-10T12-FH0/hrrr-conus-sfc-2024-05-10T12-FH0.json b/examples/hrrr-conus-sfc-2024-05-10T12-FH0/hrrr-conus-sfc-2024-05-10T12-FH0.json index 1edfe2f..2371c88 100644 --- a/examples/hrrr-conus-sfc-2024-05-10T12-FH0/hrrr-conus-sfc-2024-05-10T12-FH0.json +++ b/examples/hrrr-conus-sfc-2024-05-10T12-FH0/hrrr-conus-sfc-2024-05-10T12-FH0.json @@ -86,8 +86,8 @@ "forecast_layer_type": "analysis" }, "var_discipline=0_center=7_local_table=1_parmcat=16_parm=201__entire_atmosphere__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 3, "start_byte": 377176, "byte_size": 268771, @@ -513,8 +513,8 @@ "statistic_type": "ave" }, "MSLMA__mean_sea_level__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 41, "start_byte": 24189988, "byte_size": 623746, @@ -731,8 +731,8 @@ "statistic_type": "max" }, "LTNGSD__1_m_above_ground__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 57, "start_byte": 25878459, "byte_size": 188, @@ -742,8 +742,8 @@ "forecast_layer_type": "analysis" }, "LTNGSD__2_m_above_ground__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 58, "start_byte": 25878647, "byte_size": 53022, @@ -990,8 +990,8 @@ "statistic_type": "max" }, "MAXUW__10_m_above_ground__instantaneous": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 80, "start_byte": 47948565, "byte_size": 1195150, @@ -1004,8 +1004,8 @@ "statistic_type": "max" }, "MAXVW__10_m_above_ground__instantaneous": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 81, "start_byte": 49143715, "byte_size": 1185667, @@ -1223,8 +1223,8 @@ "forecast_layer_type": "analysis" }, "VEGMIN__surface__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 99, "start_byte": 57142085, "byte_size": 1116137, @@ -1234,8 +1234,8 @@ "forecast_layer_type": "analysis" }, "VEGMAX__surface__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 100, "start_byte": 58258222, "byte_size": 876934, @@ -1344,8 +1344,8 @@ "forecast_layer_type": "analysis" }, "TCOLW__entire_atmosphere__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 110, "start_byte": 64830597, "byte_size": 1011101, @@ -1355,8 +1355,8 @@ "forecast_layer_type": "analysis" }, "TCOLI__entire_atmosphere__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 111, "start_byte": 65841698, "byte_size": 665989, @@ -1894,8 +1894,8 @@ "forecast_layer_type": "analysis" }, "EFHL__surface__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 160, "start_byte": 123716364, "byte_size": 749578, @@ -1905,8 +1905,8 @@ "forecast_layer_type": "analysis" }, "CANGLE__0-500_m_above_ground__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 161, "start_byte": 124465942, "byte_size": 2073519, @@ -1927,8 +1927,8 @@ "forecast_layer_type": "analysis" }, "ESP__0-3000_m_above_ground__analysis": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 163, "start_byte": 127815345, "byte_size": 420946, @@ -2036,5 +2036,5 @@ 52.62870335266728 ], "stac_extensions": [], - "collection": "noaa-hrrr-sfc" + "collection": "noaa-hrrr-sfc-conus" } \ No newline at end of file diff --git a/examples/hrrr-conus-sfc-2024-05-10T12-FH2/hrrr-conus-sfc-2024-05-10T12-FH2.json b/examples/hrrr-conus-sfc-2024-05-10T12-FH2/hrrr-conus-sfc-2024-05-10T12-FH2.json index ad074f3..63e449a 100644 --- a/examples/hrrr-conus-sfc-2024-05-10T12-FH2/hrrr-conus-sfc-2024-05-10T12-FH2.json +++ b/examples/hrrr-conus-sfc-2024-05-10T12-FH2/hrrr-conus-sfc-2024-05-10T12-FH2.json @@ -88,8 +88,8 @@ "end_timedelta": 7200.0 }, "var_discipline=0_center=7_local_table=1_parmcat=16_parm=201__entire_atmosphere__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 3, "start_byte": 448951, "byte_size": 298772, @@ -550,8 +550,8 @@ "statistic_type": "ave" }, "MSLMA__mean_sea_level__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 41, "start_byte": 25882434, "byte_size": 610436, @@ -770,8 +770,8 @@ "statistic_type": "max" }, "LTNGSD__1_m_above_ground__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 57, "start_byte": 32558310, "byte_size": 2555, @@ -782,8 +782,8 @@ "end_timedelta": 7200.0 }, "LTNGSD__2_m_above_ground__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 58, "start_byte": 32560865, "byte_size": 30378, @@ -1050,8 +1050,8 @@ "statistic_type": "max" }, "MAXUW__10_m_above_ground__periodic_max": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 80, "start_byte": 54664124, "byte_size": 1320277, @@ -1064,8 +1064,8 @@ "statistic_type": "max" }, "MAXVW__10_m_above_ground__periodic_max": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 81, "start_byte": 55984401, "byte_size": 1280441, @@ -1336,8 +1336,8 @@ "end_timedelta": 7200.0 }, "VEGMIN__surface__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 102, "start_byte": 65287896, "byte_size": 1116137, @@ -1348,8 +1348,8 @@ "end_timedelta": 7200.0 }, "VEGMAX__surface__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 103, "start_byte": 66404033, "byte_size": 876934, @@ -1468,8 +1468,8 @@ "end_timedelta": 7200.0 }, "TCOLW__entire_atmosphere__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 113, "start_byte": 74844797, "byte_size": 847844, @@ -1480,8 +1480,8 @@ "end_timedelta": 7200.0 }, "TCOLI__entire_atmosphere__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 114, "start_byte": 75692641, "byte_size": 834565, @@ -2068,8 +2068,8 @@ "end_timedelta": 7200.0 }, "EFHL__surface__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 163, "start_byte": 139314458, "byte_size": 874680, @@ -2080,8 +2080,8 @@ "end_timedelta": 7200.0 }, "CANGLE__0-500_m_above_ground__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 164, "start_byte": 140189138, "byte_size": 2091581, @@ -2104,8 +2104,8 @@ "end_timedelta": 7200.0 }, "ESP__0-3000_m_above_ground__point_in_time": { - "description": NaN, - "unit": NaN, + "description": null, + "unit": null, "grib_message": 166, "start_byte": 143566410, "byte_size": 549774, @@ -2221,5 +2221,5 @@ 52.62870335266728 ], "stac_extensions": [], - "collection": "noaa-hrrr-sfc" + "collection": "noaa-hrrr-sfc-conus" } \ No newline at end of file