RV_NEX-GDDP_CMIP6_GLOBAL_RECENTER_at_0_degress_XARRAY.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "106ddf1b",
   "metadata": {},
   "source": [
    "# Read and Visualize NEX-GDDP-CMIP6 Global data\n",
    "\n",
    "\n",
    "\"The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across all four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs).\" NASA NEX\n",
    "\n",
    "\n",
    "More info can be found here:\n",
    "\n",
    "https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6\n",
    "\n",
    "\n",
    "NEX-GDDP-CMIP6 can also be downloaded using: \n",
    "\n",
    " - Amazon Web Service (AWS) - https://registry.opendata.aws/nex-gddp-cmip6/\n",
    " - Google Earth Engine  - https://developers.google.com/earth-engine/datasets/catalog/NASA_GDDP-CMIP6\n",
    "\n",
    "\n",
    "Spatial Extent of Dataset\n",
    "\n",
    "    Coverage:\n",
    "    \n",
    "    West Bounding Coordinate: 180° W\n",
    "    East Bounding Coordinate: 180° E\n",
    "    North Bounding Coordinate: 90° N\n",
    "    South Bounding Coordinate: 60° S\n",
    "    \n",
    "    Data Resolution:\n",
    "    Latitude Resolution: 0.25 degrees (25 km)\n",
    "    Longitude Resolution: 0.25 degrees (25 km)\n",
    "    Temporal Resolution: daily\n",
    "\n",
    "\n",
    "\n",
    "------------------------\n",
    "DTR\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51bc0dee",
   "metadata": {},
   "source": [
    "# Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a1adb679",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8eb7809e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "44bdfc4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e0ea730d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import dask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "eccbbcf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import rioxarray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6d4a9fe6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "47bca298",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c5c514e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.io.img_tiles as cimgt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "62cb3f0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "28d27141",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b4fbcff",
   "metadata": {},
   "source": [
    "# Working Directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "91fb19c5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#os.getcwd()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "672118a4",
   "metadata": {},
   "source": [
    "## Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5c8662ef",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/media/donald/disk10/DATA_NEX_GDDP/scratch/NEX-GDDP-CMIP6/ACCESS-CM2/historical/r1i1p1f1/pr'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir_data = '/media/donald/disk10/DATA_NEX_GDDP/scratch/NEX-GDDP-CMIP6/ACCESS-CM2/historical/r1i1p1f1/pr'\n",
    "dir_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6e1078eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_2008.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1965.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_2009.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1993.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1986.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1954.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1970.nc']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir(dir_data)[:7]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a58fa2a8",
   "metadata": {},
   "source": [
    "list the files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "45312d11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_2008.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1965.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_2009.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1993.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1986.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1954.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1970.nc']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst_Files = [fl for fl in os.listdir(dir_data) if fl.endswith('.nc') ]\n",
    "lst_Files[:7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "497a07ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sort the order\n",
    "lst_Files.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a2a50f97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1950.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1951.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1952.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1953.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1954.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1955.nc',\n",
       " 'pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1956.nc']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sorted\n",
    "lst_Files[:7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8a95b0e7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/media/donald/disk10/DATA_NEX_GDDP/scratch/NEX-GDDP-CMIP6/ACCESS-CM2/historical/r1i1p1f1/pr/pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1950.nc'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.join(dir_data, lst_Files[0] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd78cdc5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a66cf31b",
   "metadata": {},
   "source": [
    "# File size and memory checks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3253a2a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_bytes(byt_num):\n",
    "    \"\"\"\n",
    "    this function will convert bytes to KB, MB, GB and TB\n",
    "    \"\"\"\n",
    "    for x in ['bytes', 'KB', 'MB', 'GB', 'TB']:\n",
    "        if byt_num < 1024.0:\n",
    "            return \"%3.1f %s\" % (byt_num, x)\n",
    "        byt_num /= 1024.0\n",
    "    return byt_num\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ec24c567",
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_filesize(file_path):\n",
    "    \"\"\"\n",
    "    function to check the file size\n",
    "    \"\"\"\n",
    "    if os.path.isfile(file_path):\n",
    "        file_info = os.stat(file_path)\n",
    "        return convert_bytes(file_info.st_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "00bf539a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'173.4 MB'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "check_filesize(os.path.join(dir_data, lst_Files[0] ))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6f8eb95",
   "metadata": {},
   "source": [
    "# Explore the dataset using Xarray\n",
    "\n",
    "Often the common choice for reading geotiff files is gdal or rasterio. Here we going to try something different"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "90dee59f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/media/donald/disk10/DATA_NEX_GDDP/scratch/NEX-GDDP-CMIP6/ACCESS-CM2/historical/r1i1p1f1/pr/pr_day_ACCESS-CM2_historical_r1i1p1f1_gn_1995.nc'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "FILE_NAME = os.path.join(dir_data, lst_Files[45] )\n",
    "FILE_NAME"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f7a79cf7",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_GDDP6 = xr.open_dataset(FILE_NAME)  #, decode_coords=\"all\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d647bbd0",
   "metadata": {},
   "outputs": [
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       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 365, lat: 600, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:00:00\n",
       "  * lat      (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float64 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "Data variables:\n",
       "    pr       (time, lat, lon) float32 ...\n",
       "Attributes: (12/22)\n",
       "    activity:              NEX-GDDP-CMIP6\n",
       "    contact:               Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
       "    Conventions:           CF-1.7\n",
       "    creation_date:         2021-10-04T14:00:02.633490+00:00\n",
       "    frequency:             day\n",
       "    institution:           NASA Earth Exchange, NASA Ames Research Center, Mo...\n",
       "    ...                    ...\n",
       "    history:               2021-10-04T14:00:02.633490+00:00: install global a...\n",
       "    disclaimer:            This data is considered provisional and subject to...\n",
       "    external_variables:    areacella\n",
       "    cmip6_source_id:       ACCESS-CM2\n",
       "    cmip6_institution_id:  CSIRO-ARCCSS\n",
       "    cmip6_license:         CC-BY-SA 4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3806d27b-8c23-49bc-83f4-f43413b43b48' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3806d27b-8c23-49bc-83f4-f43413b43b48' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span class='xr-has-index'>lat</span>: 600</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f5c7200d-adb5-465e-87e0-ec62889dda15' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f5c7200d-adb5-465e-87e0-ec62889dda15' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1995-01-01T12:00:00 ... 1995-12-...</div><input id='attrs-668a22a1-a942-4534-b326-74b4e4fac1b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-668a22a1-a942-4534-b326-74b4e4fac1b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc9eca14-5d6e-4e9b-b7e7-59e67b8c21e3' class='xr-var-data-in' type='checkbox'><label for='data-cc9eca14-5d6e-4e9b-b7e7-59e67b8c21e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1995-01-01T12:00:00.000000000&#x27;, &#x27;1995-01-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-01-03T12:00:00.000000000&#x27;, ..., &#x27;1995-12-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-12-30T12:00:00.000000000&#x27;, &#x27;1995-12-31T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-59.88 -59.62 ... 89.62 89.88</div><input id='attrs-2ca83499-3888-44a6-8295-8d2f0be93e5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ca83499-3888-44a6-8295-8d2f0be93e5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c30b6097-b9ef-46a1-a116-8302923a2a78' class='xr-var-data-in' type='checkbox'><label for='data-c30b6097-b9ef-46a1-a116-8302923a2a78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-59.875, -59.625, -59.375, ...,  89.375,  89.625,  89.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-382498e1-f08e-4c2a-8656-7dd1443ec930' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-382498e1-f08e-4c2a-8656-7dd1443ec930' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a67cdc2-cd49-4559-83dd-ad9765a1ea09' class='xr-var-data-in' type='checkbox'><label for='data-7a67cdc2-cd49-4559-83dd-ad9765a1ea09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
       "       3.59875e+02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c724f0ff-b065-452b-96bb-3ec6ac19d766' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c724f0ff-b065-452b-96bb-3ec6ac19d766' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-67382630-ace4-4a9b-8226-221adf8d9675' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67382630-ace4-4a9b-8226-221adf8d9675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-603384c9-8254-4862-bf04-db1b87e2de72' class='xr-var-data-in' type='checkbox'><label for='data-603384c9-8254-4862-bf04-db1b87e2de72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>includes both liquid and solid phases</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>[315360000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8dac96c0-3fb6-457e-b6b5-9c91dad2b09e' class='xr-section-summary-in' type='checkbox'  ><label for='section-8dac96c0-3fb6-457e-b6b5-9c91dad2b09e' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-caa28169-6905-413f-84dd-55640b9875fb' class='xr-index-data-in' type='checkbox'/><label for='index-caa28169-6905-413f-84dd-55640b9875fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1995-01-01 12:00:00&#x27;, &#x27;1995-01-02 12:00:00&#x27;,\n",
       "               &#x27;1995-01-03 12:00:00&#x27;, &#x27;1995-01-04 12:00:00&#x27;,\n",
       "               &#x27;1995-01-05 12:00:00&#x27;, &#x27;1995-01-06 12:00:00&#x27;,\n",
       "               &#x27;1995-01-07 12:00:00&#x27;, &#x27;1995-01-08 12:00:00&#x27;,\n",
       "               &#x27;1995-01-09 12:00:00&#x27;, &#x27;1995-01-10 12:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;1995-12-22 12:00:00&#x27;, &#x27;1995-12-23 12:00:00&#x27;,\n",
       "               &#x27;1995-12-24 12:00:00&#x27;, &#x27;1995-12-25 12:00:00&#x27;,\n",
       "               &#x27;1995-12-26 12:00:00&#x27;, &#x27;1995-12-27 12:00:00&#x27;,\n",
       "               &#x27;1995-12-28 12:00:00&#x27;, &#x27;1995-12-29 12:00:00&#x27;,\n",
       "               &#x27;1995-12-30 12:00:00&#x27;, &#x27;1995-12-31 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=365, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56300840-2411-438c-8355-385ce366044c' class='xr-index-data-in' type='checkbox'/><label for='index-56300840-2411-438c-8355-385ce366044c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-59.875, -59.625, -59.375, -59.125, -58.875, -58.625, -58.375, -58.125,\n",
       "       -57.875, -57.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-387ac7b5-6170-48d6-96a8-f5362cb2d77c' class='xr-index-data-in' type='checkbox'/><label for='index-387ac7b5-6170-48d6-96a8-f5362cb2d77c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.125,   0.375,   0.625,   0.875,   1.125,   1.375,   1.625,   1.875,\n",
       "         2.125,   2.375,\n",
       "       ...\n",
       "       357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125, 359.375,\n",
       "       359.625, 359.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-caedd8cc-2462-493a-9e1c-03c6cc32000c' class='xr-section-summary-in' type='checkbox'  ><label for='section-caedd8cc-2462-493a-9e1c-03c6cc32000c' class='xr-section-summary' >Attributes: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>activity :</span></dt><dd>NEX-GDDP-CMIP6</dd><dt><span>contact :</span></dt><dd>Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget Thrasher: bridget@climateanalyticsgroup.org</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>creation_date :</span></dt><dd>2021-10-04T14:00:02.633490+00:00</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>institution :</span></dt><dd>NASA Earth Exchange, NASA Ames Research Center, Moffett Field, CA 94035</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>BCSD</dd><dt><span>scenario :</span></dt><dd>historical</dd><dt><span>references :</span></dt><dd>BCSD method: Thrasher et al., 2012, Hydrol. Earth Syst. Sci.,16, 3309-3314. Ref period obs: latest version of the Princeton Global Meteorological Forcings (http://hydrology.princeton.edu/data.php), based on Sheffield et al., 2006, J. Climate, 19 (13), 3088-3111.</dd><dt><span>version :</span></dt><dd>1.0</dd><dt><span>tracking_id :</span></dt><dd>cca68a4f-a5d7-46d1-8781-21b10d447372</dd><dt><span>title :</span></dt><dd>ACCESS-CM2, r1i1p1f1, historical, global downscaled CMIP6 climate projection data</dd><dt><span>resolution_id :</span></dt><dd>0.25 degree</dd><dt><span>history :</span></dt><dd>2021-10-04T14:00:02.633490+00:00: install global attributes</dd><dt><span>disclaimer :</span></dt><dd>This data is considered provisional and subject to change. This data is provided as is without any warranty of any kind, either express or implied, arising by law or otherwise, including but not limited to warranties of completeness, non-infringement, accuracy, merchantability, or fitness for a particular purpose. The user assumes all risk associated with the use of, or inability to use, this data.</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>cmip6_source_id :</span></dt><dd>ACCESS-CM2</dd><dt><span>cmip6_institution_id :</span></dt><dd>CSIRO-ARCCSS</dd><dt><span>cmip6_license :</span></dt><dd>CC-BY-SA 4.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 365, lat: 600, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:00:00\n",
       "  * lat      (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float64 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "Data variables:\n",
       "    pr       (time, lat, lon) float32 ...\n",
       "Attributes: (12/22)\n",
       "    activity:              NEX-GDDP-CMIP6\n",
       "    contact:               Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
       "    Conventions:           CF-1.7\n",
       "    creation_date:         2021-10-04T14:00:02.633490+00:00\n",
       "    frequency:             day\n",
       "    institution:           NASA Earth Exchange, NASA Ames Research Center, Mo...\n",
       "    ...                    ...\n",
       "    history:               2021-10-04T14:00:02.633490+00:00: install global a...\n",
       "    disclaimer:            This data is considered provisional and subject to...\n",
       "    external_variables:    areacella\n",
       "    cmip6_source_id:       ACCESS-CM2\n",
       "    cmip6_institution_id:  CSIRO-ARCCSS\n",
       "    cmip6_license:         CC-BY-SA 4.0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_GDDP6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "aec1fb57",
   "metadata": {},
   "outputs": [],
   "source": [
    "# was the georeference read?\n",
    "ds_GDDP6.rio.crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3ab00ae1",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (time: 365, lat: 600, lon: 1440)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:...\n",
       "  * lat          (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon          (lon) float64 0.125 0.375 0.625 0.875 ... 359.4 359.6 359.9\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    pr           (time, lat, lon) float32 ...\n",
       "Attributes: (12/22)\n",
       "    activity:              NEX-GDDP-CMIP6\n",
       "    contact:               Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
       "    Conventions:           CF-1.7\n",
       "    creation_date:         2021-10-04T14:00:02.633490+00:00\n",
       "    frequency:             day\n",
       "    institution:           NASA Earth Exchange, NASA Ames Research Center, Mo...\n",
       "    ...                    ...\n",
       "    history:               2021-10-04T14:00:02.633490+00:00: install global a...\n",
       "    disclaimer:            This data is considered provisional and subject to...\n",
       "    external_variables:    areacella\n",
       "    cmip6_source_id:       ACCESS-CM2\n",
       "    cmip6_institution_id:  CSIRO-ARCCSS\n",
       "    cmip6_license:         CC-BY-SA 4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a178e498-9ae8-4a87-afe1-aceb4c4f18d6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a178e498-9ae8-4a87-afe1-aceb4c4f18d6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span class='xr-has-index'>lat</span>: 600</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fb549307-4047-41fa-b6bf-574bbb954e79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb549307-4047-41fa-b6bf-574bbb954e79' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1995-01-01T12:00:00 ... 1995-12-...</div><input id='attrs-392566a5-e726-48bd-afd2-21bcd58c3eb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-392566a5-e726-48bd-afd2-21bcd58c3eb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-378f2182-3764-4380-8cba-0e3057533725' class='xr-var-data-in' type='checkbox'><label for='data-378f2182-3764-4380-8cba-0e3057533725' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1995-01-01T12:00:00.000000000&#x27;, &#x27;1995-01-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-01-03T12:00:00.000000000&#x27;, ..., &#x27;1995-12-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-12-30T12:00:00.000000000&#x27;, &#x27;1995-12-31T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-59.88 -59.62 ... 89.62 89.88</div><input id='attrs-bc53c81e-7378-46b1-9f54-eab1eb2d6a37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc53c81e-7378-46b1-9f54-eab1eb2d6a37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b152eaec-0aa1-478e-8e83-5d461bc898cf' class='xr-var-data-in' type='checkbox'><label for='data-b152eaec-0aa1-478e-8e83-5d461bc898cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-59.875, -59.625, -59.375, ...,  89.375,  89.625,  89.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-bfec5f3f-1e56-4f0c-ba74-115ba4dea4d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfec5f3f-1e56-4f0c-ba74-115ba4dea4d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eecc2e46-8314-45f9-88e5-2ac039c68a45' class='xr-var-data-in' type='checkbox'><label for='data-eecc2e46-8314-45f9-88e5-2ac039c68a45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
       "       3.59875e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-95c59b21-17dc-42af-99cd-8509e294c7a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95c59b21-17dc-42af-99cd-8509e294c7a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfea74a8-df14-4376-8ff9-072c56ce79e1' class='xr-var-data-in' type='checkbox'><label for='data-dfea74a8-df14-4376-8ff9-072c56ce79e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01b66d27-0f4a-439a-a52b-1b448e9e4a85' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01b66d27-0f4a-439a-a52b-1b448e9e4a85' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7847368-b52d-4866-9cf8-b5255da52cc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7847368-b52d-4866-9cf8-b5255da52cc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d057b45-fdbc-4221-9022-9541d6cb4348' class='xr-var-data-in' type='checkbox'><label for='data-2d057b45-fdbc-4221-9022-9541d6cb4348' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>includes both liquid and solid phases</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>[315360000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b02a9496-7b08-48c6-bc0f-1a5eeaff8b83' class='xr-section-summary-in' type='checkbox'  ><label for='section-b02a9496-7b08-48c6-bc0f-1a5eeaff8b83' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c10be88d-9037-41a8-ae19-03027064cb18' class='xr-index-data-in' type='checkbox'/><label for='index-c10be88d-9037-41a8-ae19-03027064cb18' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1995-01-01 12:00:00&#x27;, &#x27;1995-01-02 12:00:00&#x27;,\n",
       "               &#x27;1995-01-03 12:00:00&#x27;, &#x27;1995-01-04 12:00:00&#x27;,\n",
       "               &#x27;1995-01-05 12:00:00&#x27;, &#x27;1995-01-06 12:00:00&#x27;,\n",
       "               &#x27;1995-01-07 12:00:00&#x27;, &#x27;1995-01-08 12:00:00&#x27;,\n",
       "               &#x27;1995-01-09 12:00:00&#x27;, &#x27;1995-01-10 12:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;1995-12-22 12:00:00&#x27;, &#x27;1995-12-23 12:00:00&#x27;,\n",
       "               &#x27;1995-12-24 12:00:00&#x27;, &#x27;1995-12-25 12:00:00&#x27;,\n",
       "               &#x27;1995-12-26 12:00:00&#x27;, &#x27;1995-12-27 12:00:00&#x27;,\n",
       "               &#x27;1995-12-28 12:00:00&#x27;, &#x27;1995-12-29 12:00:00&#x27;,\n",
       "               &#x27;1995-12-30 12:00:00&#x27;, &#x27;1995-12-31 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=365, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5c47912c-a6e5-44c6-a90b-0c36147abcf4' class='xr-index-data-in' type='checkbox'/><label for='index-5c47912c-a6e5-44c6-a90b-0c36147abcf4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-59.875, -59.625, -59.375, -59.125, -58.875, -58.625, -58.375, -58.125,\n",
       "       -57.875, -57.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-77c1eb49-0f0e-4700-98e9-14261a43be93' class='xr-index-data-in' type='checkbox'/><label for='index-77c1eb49-0f0e-4700-98e9-14261a43be93' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.125,   0.375,   0.625,   0.875,   1.125,   1.375,   1.625,   1.875,\n",
       "         2.125,   2.375,\n",
       "       ...\n",
       "       357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125, 359.375,\n",
       "       359.625, 359.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-012b0a43-6123-4208-9c91-2994d61a2087' class='xr-section-summary-in' type='checkbox'  ><label for='section-012b0a43-6123-4208-9c91-2994d61a2087' class='xr-section-summary' >Attributes: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>activity :</span></dt><dd>NEX-GDDP-CMIP6</dd><dt><span>contact :</span></dt><dd>Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget Thrasher: bridget@climateanalyticsgroup.org</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>creation_date :</span></dt><dd>2021-10-04T14:00:02.633490+00:00</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>institution :</span></dt><dd>NASA Earth Exchange, NASA Ames Research Center, Moffett Field, CA 94035</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>BCSD</dd><dt><span>scenario :</span></dt><dd>historical</dd><dt><span>references :</span></dt><dd>BCSD method: Thrasher et al., 2012, Hydrol. Earth Syst. Sci.,16, 3309-3314. Ref period obs: latest version of the Princeton Global Meteorological Forcings (http://hydrology.princeton.edu/data.php), based on Sheffield et al., 2006, J. Climate, 19 (13), 3088-3111.</dd><dt><span>version :</span></dt><dd>1.0</dd><dt><span>tracking_id :</span></dt><dd>cca68a4f-a5d7-46d1-8781-21b10d447372</dd><dt><span>title :</span></dt><dd>ACCESS-CM2, r1i1p1f1, historical, global downscaled CMIP6 climate projection data</dd><dt><span>resolution_id :</span></dt><dd>0.25 degree</dd><dt><span>history :</span></dt><dd>2021-10-04T14:00:02.633490+00:00: install global attributes</dd><dt><span>disclaimer :</span></dt><dd>This data is considered provisional and subject to change. This data is provided as is without any warranty of any kind, either express or implied, arising by law or otherwise, including but not limited to warranties of completeness, non-infringement, accuracy, merchantability, or fitness for a particular purpose. The user assumes all risk associated with the use of, or inability to use, this data.</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>cmip6_source_id :</span></dt><dd>ACCESS-CM2</dd><dt><span>cmip6_institution_id :</span></dt><dd>CSIRO-ARCCSS</dd><dt><span>cmip6_license :</span></dt><dd>CC-BY-SA 4.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (time: 365, lat: 600, lon: 1440)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:...\n",
       "  * lat          (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon          (lon) float64 0.125 0.375 0.625 0.875 ... 359.4 359.6 359.9\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    pr           (time, lat, lon) float32 ...\n",
       "Attributes: (12/22)\n",
       "    activity:              NEX-GDDP-CMIP6\n",
       "    contact:               Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
       "    Conventions:           CF-1.7\n",
       "    creation_date:         2021-10-04T14:00:02.633490+00:00\n",
       "    frequency:             day\n",
       "    institution:           NASA Earth Exchange, NASA Ames Research Center, Mo...\n",
       "    ...                    ...\n",
       "    history:               2021-10-04T14:00:02.633490+00:00: install global a...\n",
       "    disclaimer:            This data is considered provisional and subject to...\n",
       "    external_variables:    areacella\n",
       "    cmip6_source_id:       ACCESS-CM2\n",
       "    cmip6_institution_id:  CSIRO-ARCCSS\n",
       "    cmip6_license:         CC-BY-SA 4.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_GDDP6.rio.write_crs(\"epsg:4326\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "619bd726",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CRS.from_epsg(4326)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# was the georeference added to the file?\n",
    "ds_GDDP6.rio.crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a736c5a2",
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;spatial_ref&#x27; ()&gt;\n",
       "array(0)\n",
       "Coordinates:\n",
       "    spatial_ref  int64 0\n",
       "Attributes:\n",
       "    crs_wkt:                      GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;...\n",
       "    semi_major_axis:              6378137.0\n",
       "    semi_minor_axis:              6356752.314245179\n",
       "    inverse_flattening:           298.257223563\n",
       "    reference_ellipsoid_name:     WGS 84\n",
       "    longitude_of_prime_meridian:  0.0\n",
       "    prime_meridian_name:          Greenwich\n",
       "    geographic_crs_name:          WGS 84\n",
       "    horizontal_datum_name:        World Geodetic System 1984\n",
       "    grid_mapping_name:            latitude_longitude\n",
       "    spatial_ref:                  GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'spatial_ref'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-50a459f7-b3fb-41ee-9516-373ab4c4a329' class='xr-array-in' type='checkbox' checked><label for='section-50a459f7-b3fb-41ee-9516-373ab4c4a329' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0</span></div><div class='xr-array-data'><pre>array(0)</pre></div></div></li><li class='xr-section-item'><input id='section-f32236c2-8748-49db-bcb4-532b9d087a47' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f32236c2-8748-49db-bcb4-532b9d087a47' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-150a5cac-8520-43c8-88b4-5ebfa3955ba6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-150a5cac-8520-43c8-88b4-5ebfa3955ba6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb746279-fb27-4891-b90c-93871d8754a6' class='xr-var-data-in' type='checkbox'><label for='data-cb746279-fb27-4891-b90c-93871d8754a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5784acd1-3799-4cbb-aeec-62c16166f05e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5784acd1-3799-4cbb-aeec-62c16166f05e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3f838d94-769a-438c-93c5-ba424e96d53a' class='xr-section-summary-in' type='checkbox'  ><label for='section-3f838d94-769a-438c-93c5-ba424e96d53a' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'spatial_ref' ()>\n",
       "array(0)\n",
       "Coordinates:\n",
       "    spatial_ref  int64 0\n",
       "Attributes:\n",
       "    crs_wkt:                      GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"...\n",
       "    semi_major_axis:              6378137.0\n",
       "    semi_minor_axis:              6356752.314245179\n",
       "    inverse_flattening:           298.257223563\n",
       "    reference_ellipsoid_name:     WGS 84\n",
       "    longitude_of_prime_meridian:  0.0\n",
       "    prime_meridian_name:          Greenwich\n",
       "    geographic_crs_name:          WGS 84\n",
       "    horizontal_datum_name:        World Geodetic System 1984\n",
       "    grid_mapping_name:            latitude_longitude\n",
       "    spatial_ref:                  GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"..."
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_GDDP6.spatial_ref"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6b21c7f",
   "metadata": {},
   "source": [
    "Geotransform values mean:\n",
    "\n",
    "\n",
    "    [0] : top left x\n",
    "    [1] : w-e pixel resolution\n",
    "    [2] : rotation, 0 if image is \"north up\"\n",
    "    [3] : top left y\n",
    "    [4] : rotation, 0 if image is \"north up\"\n",
    "    [5] : n-s pixel resolution"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "101aac14",
   "metadata": {},
   "source": [
    "dates and times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8359edee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['1995-01-01T12:00:00.000000000', '1995-01-16T12:00:00.000000000',\n",
       "       '1995-01-31T12:00:00.000000000', '1995-02-15T12:00:00.000000000',\n",
       "       '1995-03-02T12:00:00.000000000', '1995-03-17T12:00:00.000000000',\n",
       "       '1995-04-01T12:00:00.000000000', '1995-04-16T12:00:00.000000000',\n",
       "       '1995-05-01T12:00:00.000000000', '1995-05-16T12:00:00.000000000',\n",
       "       '1995-05-31T12:00:00.000000000', '1995-06-15T12:00:00.000000000',\n",
       "       '1995-06-30T12:00:00.000000000', '1995-07-15T12:00:00.000000000',\n",
       "       '1995-07-30T12:00:00.000000000', '1995-08-14T12:00:00.000000000',\n",
       "       '1995-08-29T12:00:00.000000000', '1995-09-13T12:00:00.000000000',\n",
       "       '1995-09-28T12:00:00.000000000', '1995-10-13T12:00:00.000000000',\n",
       "       '1995-10-28T12:00:00.000000000', '1995-11-12T12:00:00.000000000',\n",
       "       '1995-11-27T12:00:00.000000000', '1995-12-12T12:00:00.000000000',\n",
       "       '1995-12-27T12:00:00.000000000'], dtype='datetime64[ns]')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_GDDP6.time.values[::15] # NB ::15"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "460c3a86",
   "metadata": {},
   "source": [
    "quick view"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "020990fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f110b5d0ed0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_GDDP6['pr'].isel(time=3).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0aae65d",
   "metadata": {},
   "source": [
    "As we can see the centre is not a zero degrees because the longitude coordinates are not running -180 to + 180 degrees. We need to modify this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "805c1377",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:...\n",
       "  * lat          (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon          (lon) float64 0.125 0.375 0.625 0.875 ... 359.4 359.6 359.9\n",
       "    spatial_ref  int64 0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_GDDP6.coords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e0921bba",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_GDDP6.coords['lon'] = (ds_GDDP6.coords['lon'] + 180) % 360 - 180"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "18e204f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#and sort\n",
    "ds_GDDP6 = ds_GDDP6.sortby(ds_GDDP6.lon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b270c1d1",
   "metadata": {},
   "outputs": [
    {
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       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (time: 365, lat: 600, lon: 1440)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:...\n",
       "  * lat          (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon          (lon) float64 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    pr           (time, lat, lon) float32 ...\n",
       "Attributes: (12/22)\n",
       "    activity:              NEX-GDDP-CMIP6\n",
       "    contact:               Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
       "    Conventions:           CF-1.7\n",
       "    creation_date:         2021-10-04T14:00:02.633490+00:00\n",
       "    frequency:             day\n",
       "    institution:           NASA Earth Exchange, NASA Ames Research Center, Mo...\n",
       "    ...                    ...\n",
       "    history:               2021-10-04T14:00:02.633490+00:00: install global a...\n",
       "    disclaimer:            This data is considered provisional and subject to...\n",
       "    external_variables:    areacella\n",
       "    cmip6_source_id:       ACCESS-CM2\n",
       "    cmip6_institution_id:  CSIRO-ARCCSS\n",
       "    cmip6_license:         CC-BY-SA 4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-615b93fe-928e-46aa-9b04-7b8d075b7030' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-615b93fe-928e-46aa-9b04-7b8d075b7030' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span class='xr-has-index'>lat</span>: 600</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f7a92d1e-d23e-41be-8640-86748160a40a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f7a92d1e-d23e-41be-8640-86748160a40a' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1995-01-01T12:00:00 ... 1995-12-...</div><input id='attrs-aae6159c-a99a-481b-8892-f4e442a1c5a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aae6159c-a99a-481b-8892-f4e442a1c5a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34fb1d37-5d95-4379-a8a9-b5471feec782' class='xr-var-data-in' type='checkbox'><label for='data-34fb1d37-5d95-4379-a8a9-b5471feec782' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1995-01-01T12:00:00.000000000&#x27;, &#x27;1995-01-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-01-03T12:00:00.000000000&#x27;, ..., &#x27;1995-12-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-12-30T12:00:00.000000000&#x27;, &#x27;1995-12-31T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-59.88 -59.62 ... 89.62 89.88</div><input id='attrs-2bfd36fe-975d-4f33-afd6-15674269e841' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bfd36fe-975d-4f33-afd6-15674269e841' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81fd2d5c-26be-49f6-96d4-c251571e4652' class='xr-var-data-in' type='checkbox'><label for='data-81fd2d5c-26be-49f6-96d4-c251571e4652' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-59.875, -59.625, -59.375, ...,  89.375,  89.625,  89.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-804efed1-0668-4abb-bbcf-ea20b3b2e212' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-804efed1-0668-4abb-bbcf-ea20b3b2e212' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac020d2-7a07-4c7a-b16e-0b3e9ccf9e61' class='xr-var-data-in' type='checkbox'><label for='data-9ac020d2-7a07-4c7a-b16e-0b3e9ccf9e61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-5d14f309-57e3-45ea-950f-350990f5df48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d14f309-57e3-45ea-950f-350990f5df48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f470e05-9265-43a2-b22e-c0d7d4b737f5' class='xr-var-data-in' type='checkbox'><label for='data-2f470e05-9265-43a2-b22e-c0d7d4b737f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46dac24e-bcf0-48db-96ad-147a3ae92749' class='xr-section-summary-in' type='checkbox'  checked><label for='section-46dac24e-bcf0-48db-96ad-147a3ae92749' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb80deac-5ebb-4484-843b-db26a4cc7d5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb80deac-5ebb-4484-843b-db26a4cc7d5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b3f1d5a-1f9c-4076-af5c-a2942c77fb9d' class='xr-var-data-in' type='checkbox'><label for='data-9b3f1d5a-1f9c-4076-af5c-a2942c77fb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>includes both liquid and solid phases</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>[315360000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b0bc237-18a8-415e-8e3c-237f17353a1b' class='xr-section-summary-in' type='checkbox'  ><label for='section-3b0bc237-18a8-415e-8e3c-237f17353a1b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bd7a15bb-5a3f-4561-ad20-b1bb778ac713' class='xr-index-data-in' type='checkbox'/><label for='index-bd7a15bb-5a3f-4561-ad20-b1bb778ac713' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1995-01-01 12:00:00&#x27;, &#x27;1995-01-02 12:00:00&#x27;,\n",
       "               &#x27;1995-01-03 12:00:00&#x27;, &#x27;1995-01-04 12:00:00&#x27;,\n",
       "               &#x27;1995-01-05 12:00:00&#x27;, &#x27;1995-01-06 12:00:00&#x27;,\n",
       "               &#x27;1995-01-07 12:00:00&#x27;, &#x27;1995-01-08 12:00:00&#x27;,\n",
       "               &#x27;1995-01-09 12:00:00&#x27;, &#x27;1995-01-10 12:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;1995-12-22 12:00:00&#x27;, &#x27;1995-12-23 12:00:00&#x27;,\n",
       "               &#x27;1995-12-24 12:00:00&#x27;, &#x27;1995-12-25 12:00:00&#x27;,\n",
       "               &#x27;1995-12-26 12:00:00&#x27;, &#x27;1995-12-27 12:00:00&#x27;,\n",
       "               &#x27;1995-12-28 12:00:00&#x27;, &#x27;1995-12-29 12:00:00&#x27;,\n",
       "               &#x27;1995-12-30 12:00:00&#x27;, &#x27;1995-12-31 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=365, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-538341f2-d5c9-4775-b6fa-41d0d7d09245' class='xr-index-data-in' type='checkbox'/><label for='index-538341f2-d5c9-4775-b6fa-41d0d7d09245' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-59.875, -59.625, -59.375, -59.125, -58.875, -58.625, -58.375, -58.125,\n",
       "       -57.875, -57.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9a2c89fd-5412-43c9-a261-0a79b30f4436' class='xr-index-data-in' type='checkbox'/><label for='index-9a2c89fd-5412-43c9-a261-0a79b30f4436' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5da12e58-dd19-4a21-ab04-b04e33a3cb36' class='xr-section-summary-in' type='checkbox'  ><label for='section-5da12e58-dd19-4a21-ab04-b04e33a3cb36' class='xr-section-summary' >Attributes: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>activity :</span></dt><dd>NEX-GDDP-CMIP6</dd><dt><span>contact :</span></dt><dd>Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget Thrasher: bridget@climateanalyticsgroup.org</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>creation_date :</span></dt><dd>2021-10-04T14:00:02.633490+00:00</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>institution :</span></dt><dd>NASA Earth Exchange, NASA Ames Research Center, Moffett Field, CA 94035</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>BCSD</dd><dt><span>scenario :</span></dt><dd>historical</dd><dt><span>references :</span></dt><dd>BCSD method: Thrasher et al., 2012, Hydrol. Earth Syst. Sci.,16, 3309-3314. Ref period obs: latest version of the Princeton Global Meteorological Forcings (http://hydrology.princeton.edu/data.php), based on Sheffield et al., 2006, J. Climate, 19 (13), 3088-3111.</dd><dt><span>version :</span></dt><dd>1.0</dd><dt><span>tracking_id :</span></dt><dd>cca68a4f-a5d7-46d1-8781-21b10d447372</dd><dt><span>title :</span></dt><dd>ACCESS-CM2, r1i1p1f1, historical, global downscaled CMIP6 climate projection data</dd><dt><span>resolution_id :</span></dt><dd>0.25 degree</dd><dt><span>history :</span></dt><dd>2021-10-04T14:00:02.633490+00:00: install global attributes</dd><dt><span>disclaimer :</span></dt><dd>This data is considered provisional and subject to change. This data is provided as is without any warranty of any kind, either express or implied, arising by law or otherwise, including but not limited to warranties of completeness, non-infringement, accuracy, merchantability, or fitness for a particular purpose. The user assumes all risk associated with the use of, or inability to use, this data.</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>cmip6_source_id :</span></dt><dd>ACCESS-CM2</dd><dt><span>cmip6_institution_id :</span></dt><dd>CSIRO-ARCCSS</dd><dt><span>cmip6_license :</span></dt><dd>CC-BY-SA 4.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (time: 365, lat: 600, lon: 1440)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:...\n",
       "  * lat          (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon          (lon) float64 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    pr           (time, lat, lon) float32 ...\n",
       "Attributes: (12/22)\n",
       "    activity:              NEX-GDDP-CMIP6\n",
       "    contact:               Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
       "    Conventions:           CF-1.7\n",
       "    creation_date:         2021-10-04T14:00:02.633490+00:00\n",
       "    frequency:             day\n",
       "    institution:           NASA Earth Exchange, NASA Ames Research Center, Mo...\n",
       "    ...                    ...\n",
       "    history:               2021-10-04T14:00:02.633490+00:00: install global a...\n",
       "    disclaimer:            This data is considered provisional and subject to...\n",
       "    external_variables:    areacella\n",
       "    cmip6_source_id:       ACCESS-CM2\n",
       "    cmip6_institution_id:  CSIRO-ARCCSS\n",
       "    cmip6_license:         CC-BY-SA 4.0"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_GDDP6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5b8f8955",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f110b4e7050>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_GDDP6['pr'].isel(time=3).plot(figsize=(8,4))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5c77032",
   "metadata": {},
   "source": [
    "# Units Conversion"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c01635e",
   "metadata": {},
   "source": [
    "pr (precipitation) is provided in $Kg \\ m^2 \\ s^{-1}$. This is equivalent to $mm \\ s^{-1}$ (considering the density of water)\n",
    "\n",
    "Because the data is provided as daily data, inorder to get units of $mm \\ d^{-1}$, we have to multiply by $24 \\cdot 60 \\cdot 60$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f8e841ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "secs_in_a_day = 24*60*60\n",
    "\n",
    "ds_GDDP6['pr_mmd'] = (ds_GDDP6['pr']*secs_in_a_day).round(2).astype('float32')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "448e2e80",
   "metadata": {},
   "source": [
    "Let's see if the variable 'pr_mmd' has been added to the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0da9d6ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f110b53fb10>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_GDDP6['pr_mmd'].isel(time=3).plot(figsize=(8,4))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c102e3c",
   "metadata": {},
   "source": [
    "# Plot the data - Single Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ce3dab99",
   "metadata": {},
   "outputs": [],
   "source": [
    "#stamen_terrain = cimgt.Stamen('terrain-background')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a69bf97d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('1995-01-04T12:00:00.000000000')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_GDDP6['pr_mmd'].time.values[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "7b700541",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1008x792 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "time_plt =  3 # date to plot\n",
    "\n",
    "\n",
    "fig = plt.figure()\n",
    "fig.set_size_inches(14, 11)\n",
    "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n",
    "#set_extent(extents, crs=None)[source]\n",
    "#Set the extent (x0, x1, y0, y1) of the map in the given coordinate system.\n",
    "#If no crs is given, the extents’ coordinate system will be assumed to be the Geodetic\n",
    "#version of this axes’ projection.\n",
    "ax.set_extent([-180, 180, -65, 90], crs=ccrs.PlateCarree())\n",
    "## add features\n",
    "ax.add_feature(cfeature.LAND)\n",
    "ax.add_feature(cfeature.OCEAN)\n",
    "ax.add_feature(cfeature.COASTLINE)\n",
    "ax.add_feature(cfeature.BORDERS, linestyle=':')\n",
    "ax.add_feature(cfeature.LAKES, alpha=0.5)\n",
    "ax.add_feature(cfeature.RIVERS)\n",
    "### add background\n",
    "#ax.add_image(stamen_terrain, 8)\n",
    "### add data\n",
    "ds_GDDP6['pr_mmd'].isel(time=time_plt).plot(cmap=plt.cm.Blues, vmin=0.1, vmax=35,\n",
    "                                  cbar_kwargs={\"label\": \"Precipitation \\n [$mm \\ d^{-1}$]\", 'shrink':0.45})\n",
    "\n",
    "#plt.colorbar().set_title('',fontsize=8)\n",
    "##########\n",
    "gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True, linewidth=1, color=\"k\", alpha=0.1, linestyle=\"--\")\n",
    "gl.top_labels = False\n",
    "gl.right_labels = False\n",
    "gl.xformatter = LONGITUDE_FORMATTER\n",
    "gl.yformatter = LATITUDE_FORMATTER\n",
    "#gl.ylines = True\n",
    "#gl.xlines = True\n",
    "\n",
    "#### date to string\n",
    "\n",
    "tym =  ds_GDDP6['pr_mmd'].time.values[time_plt]\n",
    "dateStr = np.datetime_as_string(tym, unit='D')\n",
    "\n",
    "\n",
    "###\n",
    "ax.set_title('ACCESS-CM2 Global Climate Model Historical Simulations \\n Daily precipitation \\n {}'.format(dateStr),\n",
    "             y=1.01,\n",
    "             fontsize=13)\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3bdc2c1",
   "metadata": {},
   "source": [
    "# Compute  Annual Total\n",
    "\n",
    "Since each datafile has data for one year only, we can just simply sum the units converted data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "c09d34b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_GDDP6['pr_mmyr']  = ds_GDDP6['pr_mmd'].sum('time').round(2).astype('float32')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "49c84187",
   "metadata": {},
   "outputs": [
    {
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       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (time: 365, lat: 600, lon: 1440)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:...\n",
       "  * lat          (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon          (lon) float64 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    pr           (time, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    pr_mmd       (time, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    pr_mmyr      (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "Attributes: (12/22)\n",
       "    activity:              NEX-GDDP-CMIP6\n",
       "    contact:               Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
       "    Conventions:           CF-1.7\n",
       "    creation_date:         2021-10-04T14:00:02.633490+00:00\n",
       "    frequency:             day\n",
       "    institution:           NASA Earth Exchange, NASA Ames Research Center, Mo...\n",
       "    ...                    ...\n",
       "    history:               2021-10-04T14:00:02.633490+00:00: install global a...\n",
       "    disclaimer:            This data is considered provisional and subject to...\n",
       "    external_variables:    areacella\n",
       "    cmip6_source_id:       ACCESS-CM2\n",
       "    cmip6_institution_id:  CSIRO-ARCCSS\n",
       "    cmip6_license:         CC-BY-SA 4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2f7dc96b-b2b4-4154-8e78-ef68c2d9f4de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f7dc96b-b2b4-4154-8e78-ef68c2d9f4de' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span class='xr-has-index'>lat</span>: 600</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-05bf0b11-e821-4353-9287-b4b39e1f6ee7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05bf0b11-e821-4353-9287-b4b39e1f6ee7' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1995-01-01T12:00:00 ... 1995-12-...</div><input id='attrs-96de2b23-1038-4d2c-ab29-07761eabd324' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96de2b23-1038-4d2c-ab29-07761eabd324' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d43dfb9b-8b35-48dc-b815-0169563aa632' class='xr-var-data-in' type='checkbox'><label for='data-d43dfb9b-8b35-48dc-b815-0169563aa632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1995-01-01T12:00:00.000000000&#x27;, &#x27;1995-01-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-01-03T12:00:00.000000000&#x27;, ..., &#x27;1995-12-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-12-30T12:00:00.000000000&#x27;, &#x27;1995-12-31T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-59.88 -59.62 ... 89.62 89.88</div><input id='attrs-60d25653-b8c7-4095-a990-f698cc170845' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60d25653-b8c7-4095-a990-f698cc170845' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08c29660-4b2f-4b23-b773-cb715c9c10ad' class='xr-var-data-in' type='checkbox'><label for='data-08c29660-4b2f-4b23-b773-cb715c9c10ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-59.875, -59.625, -59.375, ...,  89.375,  89.625,  89.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-d149b5b5-ea7d-4158-9a5e-9a76b717a4e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d149b5b5-ea7d-4158-9a5e-9a76b717a4e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f38e19f9-9b78-4cd3-996d-b79096ff0a23' class='xr-var-data-in' type='checkbox'><label for='data-f38e19f9-9b78-4cd3-996d-b79096ff0a23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-76ec066b-4f4d-4f57-a1d0-3358b7d304bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76ec066b-4f4d-4f57-a1d0-3358b7d304bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b1670c0-c32f-4eea-b509-09112e11e57a' class='xr-var-data-in' type='checkbox'><label for='data-6b1670c0-c32f-4eea-b509-09112e11e57a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d079061-f36b-4c03-9b9c-2f810fb0ab65' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d079061-f36b-4c03-9b9c-2f810fb0ab65' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-45de3421-6a08-42a6-96e4-fe01c3dec497' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45de3421-6a08-42a6-96e4-fe01c3dec497' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da434071-afe6-4bab-a88e-18e5cfbe8ef8' class='xr-var-data-in' type='checkbox'><label for='data-da434071-afe6-4bab-a88e-18e5cfbe8ef8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>includes both liquid and solid phases</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]],\n",
       "\n",
       "       [[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]],\n",
       "\n",
       "       [[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_mmd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-33e3c124-d8b6-4c5a-889c-c6ff7b03bdcd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33e3c124-d8b6-4c5a-889c-c6ff7b03bdcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7de46a70-1adb-439f-90aa-ba16e5b61676' class='xr-var-data-in' type='checkbox'><label for='data-7de46a70-1adb-439f-90aa-ba16e5b61676' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_mmyr</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9bcee829-3061-4136-8ff3-07c1e824dec4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9bcee829-3061-4136-8ff3-07c1e824dec4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ad607ca-c018-4dd2-bc47-495ac179a809' class='xr-var-data-in' type='checkbox'><label for='data-9ad607ca-c018-4dd2-bc47-495ac179a809' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2b9d40d-f500-497d-8545-ce9abbd83b1c' class='xr-section-summary-in' type='checkbox'  ><label for='section-e2b9d40d-f500-497d-8545-ce9abbd83b1c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d930cbb-2e69-49a3-8bc3-f0de4dc3483c' class='xr-index-data-in' type='checkbox'/><label for='index-9d930cbb-2e69-49a3-8bc3-f0de4dc3483c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1995-01-01 12:00:00&#x27;, &#x27;1995-01-02 12:00:00&#x27;,\n",
       "               &#x27;1995-01-03 12:00:00&#x27;, &#x27;1995-01-04 12:00:00&#x27;,\n",
       "               &#x27;1995-01-05 12:00:00&#x27;, &#x27;1995-01-06 12:00:00&#x27;,\n",
       "               &#x27;1995-01-07 12:00:00&#x27;, &#x27;1995-01-08 12:00:00&#x27;,\n",
       "               &#x27;1995-01-09 12:00:00&#x27;, &#x27;1995-01-10 12:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;1995-12-22 12:00:00&#x27;, &#x27;1995-12-23 12:00:00&#x27;,\n",
       "               &#x27;1995-12-24 12:00:00&#x27;, &#x27;1995-12-25 12:00:00&#x27;,\n",
       "               &#x27;1995-12-26 12:00:00&#x27;, &#x27;1995-12-27 12:00:00&#x27;,\n",
       "               &#x27;1995-12-28 12:00:00&#x27;, &#x27;1995-12-29 12:00:00&#x27;,\n",
       "               &#x27;1995-12-30 12:00:00&#x27;, &#x27;1995-12-31 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=365, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2cb0cd66-5f77-4071-90fb-018cb97064d1' class='xr-index-data-in' type='checkbox'/><label for='index-2cb0cd66-5f77-4071-90fb-018cb97064d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-59.875, -59.625, -59.375, -59.125, -58.875, -58.625, -58.375, -58.125,\n",
       "       -57.875, -57.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c3a92320-dd8d-4b33-ae18-b1eea6205e9a' class='xr-index-data-in' type='checkbox'/><label for='index-c3a92320-dd8d-4b33-ae18-b1eea6205e9a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f56a874e-aa31-4f24-ac62-2b60af902c39' class='xr-section-summary-in' type='checkbox'  ><label for='section-f56a874e-aa31-4f24-ac62-2b60af902c39' class='xr-section-summary' >Attributes: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>activity :</span></dt><dd>NEX-GDDP-CMIP6</dd><dt><span>contact :</span></dt><dd>Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget Thrasher: bridget@climateanalyticsgroup.org</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>creation_date :</span></dt><dd>2021-10-04T14:00:02.633490+00:00</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>institution :</span></dt><dd>NASA Earth Exchange, NASA Ames Research Center, Moffett Field, CA 94035</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>BCSD</dd><dt><span>scenario :</span></dt><dd>historical</dd><dt><span>references :</span></dt><dd>BCSD method: Thrasher et al., 2012, Hydrol. Earth Syst. Sci.,16, 3309-3314. Ref period obs: latest version of the Princeton Global Meteorological Forcings (http://hydrology.princeton.edu/data.php), based on Sheffield et al., 2006, J. Climate, 19 (13), 3088-3111.</dd><dt><span>version :</span></dt><dd>1.0</dd><dt><span>tracking_id :</span></dt><dd>cca68a4f-a5d7-46d1-8781-21b10d447372</dd><dt><span>title :</span></dt><dd>ACCESS-CM2, r1i1p1f1, historical, global downscaled CMIP6 climate projection data</dd><dt><span>resolution_id :</span></dt><dd>0.25 degree</dd><dt><span>history :</span></dt><dd>2021-10-04T14:00:02.633490+00:00: install global attributes</dd><dt><span>disclaimer :</span></dt><dd>This data is considered provisional and subject to change. This data is provided as is without any warranty of any kind, either express or implied, arising by law or otherwise, including but not limited to warranties of completeness, non-infringement, accuracy, merchantability, or fitness for a particular purpose. The user assumes all risk associated with the use of, or inability to use, this data.</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>cmip6_source_id :</span></dt><dd>ACCESS-CM2</dd><dt><span>cmip6_institution_id :</span></dt><dd>CSIRO-ARCCSS</dd><dt><span>cmip6_license :</span></dt><dd>CC-BY-SA 4.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (time: 365, lat: 600, lon: 1440)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 1995-01-01T12:00:00 ... 1995-12-31T12:...\n",
       "  * lat          (lat) float64 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n",
       "  * lon          (lon) float64 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    pr           (time, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    pr_mmd       (time, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    pr_mmyr      (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "Attributes: (12/22)\n",
       "    activity:              NEX-GDDP-CMIP6\n",
       "    contact:               Dr. Rama Nemani: rama.nemani@nasa.gov, Dr. Bridget...\n",
       "    Conventions:           CF-1.7\n",
       "    creation_date:         2021-10-04T14:00:02.633490+00:00\n",
       "    frequency:             day\n",
       "    institution:           NASA Earth Exchange, NASA Ames Research Center, Mo...\n",
       "    ...                    ...\n",
       "    history:               2021-10-04T14:00:02.633490+00:00: install global a...\n",
       "    disclaimer:            This data is considered provisional and subject to...\n",
       "    external_variables:    areacella\n",
       "    cmip6_source_id:       ACCESS-CM2\n",
       "    cmip6_institution_id:  CSIRO-ARCCSS\n",
       "    cmip6_license:         CC-BY-SA 4.0"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_GDDP6 # there is a new variable: pr_mmyr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7987b26",
   "metadata": {},
   "source": [
    "## Plot Annual Total Precipitation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e152aa5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1008x792 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "fig.set_size_inches(14, 11)\n",
    "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n",
    "#set_extent(extents, crs=None)[source]\n",
    "#Set the extent (x0, x1, y0, y1) of the map in the given coordinate system.\n",
    "#If no crs is given, the extents’ coordinate system will be assumed to be the Geodetic\n",
    "#version of this axes’ projection.\n",
    "ax.set_extent([-180, 180, -65, 90], crs=ccrs.PlateCarree())\n",
    "## add features\n",
    "ax.add_feature(cfeature.LAND)\n",
    "ax.add_feature(cfeature.OCEAN)\n",
    "ax.add_feature(cfeature.COASTLINE)\n",
    "ax.add_feature(cfeature.BORDERS, linestyle=':')\n",
    "ax.add_feature(cfeature.LAKES, alpha=0.5)\n",
    "ax.add_feature(cfeature.RIVERS)\n",
    "### add background\n",
    "#ax.add_image(stamen_terrain, 8)\n",
    "### add data\n",
    "\n",
    "## mask and plot using where\n",
    "\n",
    "ds_GDDP6['pr_mmyr'].where(ds_GDDP6['pr_mmyr']>0).plot(cmap=plt.cm.Blues, vmin=0.1, vmax=2000,\n",
    "                                                     cbar_kwargs={\"label\": \"Total Precipitation \\n [$mm \\ yr^{-1}$]\",\n",
    "                                                                  'shrink':0.45})\n",
    "\n",
    "#plt.colorbar().set_title('',fontsize=8)\n",
    "##########\n",
    "gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True, linewidth=1, color=\"k\", alpha=0.1, linestyle=\"--\")\n",
    "gl.top_labels = False\n",
    "gl.right_labels = False\n",
    "gl.xformatter = LONGITUDE_FORMATTER\n",
    "gl.yformatter = LATITUDE_FORMATTER\n",
    "#gl.ylines = True\n",
    "#gl.xlines = True\n",
    "\n",
    "###\n",
    "ax.set_title('ACCESS-CM2 Global Climate Model Historical Simulation \\n Total Annual Precipitation \\n 1995', \n",
    "             y=1.01, \n",
    "             fontsize=13)\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "geospatial",
   "language": "python",
   "name": "geospatial"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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