CAMS_atmospheric-composition.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='./img/LogoLine_horizon_CAMS.png' alt='Logo EU Copernicus ECMWF' align='right' width='100%'></img>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CAMS Atmospheric Composition Data Access and Analysis Tutorial\n",
    "In this tutorial we will access and view data from the Copernicus Atmosphere Monitoring Service (CAMS). The tutorial includes the following steps:\n",
    "\n",
    "1. [About this tutorial](#about): Some instructions on how to run this tutorial.\n",
    "\n",
    "2. [Register with ADS](#register): Register with the Atmosphere Data Store (ADS) of CAMS, and obtain an Application Programming Interface (API) key to enable automatic download within Jupyter.\n",
    "\n",
    "3. [Download CAMS global atmospheric composition data and view animation](#animation): Download CAMS global atmospheric composition forecasts data from the ADS. View an animation of total Aerosol Optical Depth (AOD) at 550nm for the beginning of August 2021 over the Northern Hemisphere.\n",
    "\n",
    "4. [Compare atmospheric composition variables](#variables): Compare total AOD with organic matter AOD and dust AOD to obtain more information about the possible source of aerosols.\n",
    "\n",
    "5. [Download and view CAMS global reanalysis (EAC4) monthly averaged fields](#reanalysis): Download EAC global Carbon Monoxide data for August 2021 at all pressure levels. Calculate CO climatology and view data at different pressure levels."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How to access the notebook\n",
    "\n",
    "This tutorial is in the form of a [Jupyter notebook](https://jupyter.org/). You will not need to install any software for the training as there are a number of free cloud-based services to create, edit, run and export Jupyter notebooks such as this. Here are some suggestions (simply click on one of the links below to run the notebook):"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|Binder|Kaggle|Colab|NBViewer|\n",
    "|:-:|:-:|:-:|:-:|\n",
    "|[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ecmwf-projects/copernicus-training/HEAD?urlpath=lab/tree/CAMS_atmospheric-composition.ipynb)|[![Kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://kaggle.com/kernels/welcome?src=https://github.com/ecmwf-projects/copernicus-training/blob/master/CAMS_atmospheric-composition.ipynb)|[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ecmwf-projects/copernicus-training/blob/master/CAMS_atmospheric-composition.ipynb)|[![NBViewer](https://raw.githubusercontent.com/ecmwf-projects/copernicus-training/master/img/nbviewer_badge.svg)](https://nbviewer.jupyter.org/github/ecmwf-projects/copernicus-training/blob/master/CAMS_atmospheric-composition.ipynb)|\n",
    "|(Binder may take some time to load, so please be patient!)|(will need to login/register, and switch on the internet via *settings*)|(will need to run the command `!pip install cartopy` before importing the libraries)|(this will not run the notebook, only render it)|"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you would like to run this notebook in your own environment, we suggest you install [Anaconda](https://docs.anaconda.com/anaconda/install/), which contains most of the libraries you will need. You will also need to install [Xarray](http://xarray.pydata.org/en/stable/) for working with multidimensional data in netcdf files, and the ADS API (`pip install cdsapi`) for downloading data programatically from the ADS."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id='register'></a>Data Access\n",
    "\n",
    "Whether you choose to run this notebook in the cloud, or install it on your own environment, you will need first to carry-out the steps outlined in this section to ensure you have access to CAMS data programmatically through the API.\n",
    "\n",
    "### Register with ADS\n",
    "\n",
    "To register with the ADS visit https://ads.atmosphere.copernicus.eu and select **\"Login/Register\"**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='./img/ADS_login.png' align='left' width='60%'></img>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obtain ADS API key\n",
    "\n",
    "To obtain data programmatically from the ADS, you will need an API Key. This can be found in the page https://ads.atmosphere.copernicus.eu/api-how-to. Here your key will appear automatically in the black window, assuming you have already registered and logged into the ADS (as described above).\n",
    "\n",
    "Once you have an API Key for the ADS, insert it into the cell below, i.e. substitute `ADS_API_KEY` with your ADS API key, then click \"Run\", or select Shift+Enter to run your first cell!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "ADS_URL = \"https://ads.atmosphere.copernicus.eu/api/v2\"\n",
    "\n",
    "# enter your ADS authentication key:\n",
    "ADS_KEY = \"ADS_API_KEY\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we specify a data directory in which we will download our data and all output files that we will generate:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATADIR = './'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Install API and other packages\n",
    "\n",
    "We will now install the API that will allow you to download CAMS data programmatically. Note the exclamation mark! This means the line of code will run as a shell command rather than a notebook command (Using a command without ! in the terminal is the same as using the command with ! in a Jupyter notebook)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: cdsapi in c:\\users\\cxcs\\anaconda3\\lib\\site-packages (0.3.1)\n",
      "Requirement already satisfied: tqdm in c:\\users\\cxcs\\anaconda3\\lib\\site-packages (from cdsapi) (4.47.0)\n",
      "Requirement already satisfied: requests>=2.5.0 in c:\\users\\cxcs\\anaconda3\\lib\\site-packages (from cdsapi) (2.24.0)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\\users\\cxcs\\anaconda3\\lib\\site-packages (from requests>=2.5.0->cdsapi) (1.25.9)\n",
      "Requirement already satisfied: idna<3,>=2.5 in c:\\users\\cxcs\\anaconda3\\lib\\site-packages (from requests>=2.5.0->cdsapi) (2.10)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in c:\\users\\cxcs\\anaconda3\\lib\\site-packages (from requests>=2.5.0->cdsapi) (3.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\cxcs\\anaconda3\\lib\\site-packages (from requests>=2.5.0->cdsapi) (2020.6.20)\n"
     ]
    }
   ],
   "source": [
    "!pip install cdsapi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We may also have to install imageio, if not already installed. This is a Python library that provides an easy interface to read and write a wide range of image data, including animated images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install imageio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import libraries\n",
    "\n",
    "We now need to import the libraries needed for our analyses:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# CDS API\n",
    "import cdsapi\n",
    "\n",
    "# Libraries for working with multidimensional arrays\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "# Libraries for plotting and visualising data\n",
    "%matplotlib inline\n",
    "import matplotlib.path as mpath\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "import cartopy.feature as cfeature\n",
    "import imageio\n",
    "\n",
    "# Others\n",
    "from zipfile import ZipFile\n",
    "from IPython.display import clear_output\n",
    "from time import sleep"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id='animation'></a>CAMS global atmospheric composition data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Search for data on the ADS\n",
    "\n",
    "To search for data, visit the ADS website: https://ads.atmosphere.copernicus.eu To facilitate your search you can use keywords, or apply various filters.\n",
    "\n",
    "The data we are going to use in this part of the exercise is the CAMS global atmospheric composition forecasts data. Using the filters, or keywords, search for the dataset `CAMS global atmospheric composition forecasts`.\n",
    "\n",
    "<img src='./img/ADS_search.png' align='left' width='45%'></img> <img src='./img/ADS_result_forecast.png' align='right' width='45%'></img> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Having selected the correct dataset, we now need to specify what product type, variables, temporal and geographic coverage we are interested in. These can all be selected in the **\"Download data\"** tab. In this tab a form appears in which we will select the following parameters to download:\n",
    "\n",
    "- Variables (Single level): `Dust aerosol optical depth at 550nm`\n",
    "- Variables (Single level): `Organic matter aerosol optical depth at 550nm` \n",
    "- Variables (Single level): `Total aerosol optical depth at 550nm`\n",
    "- Date: Start: `2021-08-01`, End: `2021-08-08`\n",
    "- Time: `00:00`, `12:00` (default)\n",
    "- Leadtime hour: `0` (only analysis)\n",
    "- Type: `Forecast` (default)\n",
    "- Area: Restricted area: `North: 80`, `East: 150`, `South: 25`, `West: -150` \n",
    "- Format: `Zipped netCDF (experimental)`\n",
    "\n",
    "At the end of the download form, select **\"Show API request\"**. This will reveal a block of code, which you can simply copy and paste into a cell of your Jupyter Notebook (see cell below)...\n",
    "\n",
    "**Important!** At the end of the data download page, you will be asked to **accept the terms and conditions**. You will only be able to download data once these have been accepted - this only needs to be done once.\n",
    "\n",
    "### Download data using ADS API\n",
    "\n",
    "Having copied the API request into the cell below, running this will retrieve and download the data you requested."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\cxcs\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py:1013: InsecureRequestWarning: Unverified HTTPS request is being made to host 'ads.atmosphere.copernicus.eu'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
      "  warnings.warn(\n",
      "2022-02-11 13:54:52,512 INFO Welcome to the CDS\n",
      "2022-02-11 13:54:52,513 INFO Sending request to https://ads.atmosphere.copernicus.eu/api/v2/resources/cams-global-atmospheric-composition-forecasts\n",
      "C:\\Users\\cxcs\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py:1013: InsecureRequestWarning: Unverified HTTPS request is being made to host 'ads.atmosphere.copernicus.eu'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
      "  warnings.warn(\n",
      "2022-02-11 13:54:52,575 INFO Request is completed\n",
      "2022-02-11 13:54:52,582 INFO Downloading https://download-0001.copernicus-atmosphere.eu/cache-compute-0001/cache/data8/adaptor.mars_constrained.external-1638795808.0561106-26035-18-039bb53f-1382-4555-bf74-6921b5d8ce61.zip to ./AC/2021-08_NHemisphere_AQ.zip (18.6M)\n",
      "C:\\Users\\cxcs\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py:1013: InsecureRequestWarning: Unverified HTTPS request is being made to host 'download-0001.copernicus-atmosphere.eu'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
      "  warnings.warn(\n",
      "2022-02-11 13:54:57,882 INFO Download rate 3.5M/s                                                                      \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Result(content_length=19532728,content_type=application/zip,location=https://download-0001.copernicus-atmosphere.eu/cache-compute-0001/cache/data8/adaptor.mars_constrained.external-1638795808.0561106-26035-18-039bb53f-1382-4555-bf74-6921b5d8ce61.zip)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = cdsapi.Client(url=ADS_URL, key=ADS_KEY)\n",
    "\n",
    "c.retrieve(\n",
    "    'cams-global-atmospheric-composition-forecasts',\n",
    "    {\n",
    "        'variable': [\n",
    "            'dust_aerosol_optical_depth_550nm', 'organic_matter_aerosol_optical_depth_550nm', 'total_aerosol_optical_depth_550nm',\n",
    "        ],\n",
    "        'date': '2021-08-01/2021-08-08',\n",
    "        'time': [\n",
    "            '00:00', '12:00',\n",
    "        ],\n",
    "        'leadtime_hour': '0',\n",
    "        'type': 'forecast',\n",
    "        'area': [\n",
    "            90, -180, 0,\n",
    "            180,\n",
    "        ],\n",
    "        'format': 'netcdf_zip',\n",
    "    },\n",
    "    f'{DATADIR}2021-08_NHemisphere_AQ.zip')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read data\n",
    "\n",
    "Now that we have downloaded the data, we can read, plot and analyse it...\n",
    "\n",
    "We have requested the data in NetCDF format. This is a commonly used format for gridded (array-based) scientific data. \n",
    "\n",
    "To read and process this data we will make use of the Xarray library. Xarray is an open source project and Python package that makes working with labelled multi-dimensional arrays simple and efficient. We will read the data from our NetCDF file into an Xarray **\"dataset\"**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we extract the downloaded zip file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a ZipFile Object and load zip file in it\n",
    "with ZipFile(f'{DATADIR}2021-08_NHemisphere_AQ.zip', 'r') as zipObj:\n",
    "   # Extract all the contents of zip file in current directory\n",
    "   zipObj.extractall(path=f'{DATADIR}2021-08_NHemisphere_AQ/')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For convenience, we create a variable with the name of our downloaded file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "fn = f'{DATADIR}2021-08_NHemisphere_AQ/data.nc'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can read the data into an Xarray dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create Xarray Dataset\n",
    "ds = xr.open_dataset(fn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see how this looks by querying our newly created Xarray dataset ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:    (longitude: 900, latitude: 226, time: 16)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -180.0 -179.6 -179.2 ... 178.8 179.2 179.6\n",
       "  * latitude   (latitude) float32 90.0 89.6 89.2 88.8 ... 1.2 0.8 0.4 -2.033e-13\n",
       "  * time       (time) datetime64[ns] 2021-08-01 ... 2021-08-08T12:00:00\n",
       "Data variables:\n",
       "    omaod550   (time, latitude, longitude) float32 ...\n",
       "    aod550     (time, latitude, longitude) float32 ...\n",
       "    duaod550   (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2021-12-06 13:03:27 GMT by grib_to_netcdf-2.23.0: /opt/ecmw...</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-e4cde1ad-bf58-4da9-a3f1-7863e68038c2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4cde1ad-bf58-4da9-a3f1-7863e68038c2' 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'>longitude</span>: 900</li><li><span class='xr-has-index'>latitude</span>: 226</li><li><span class='xr-has-index'>time</span>: 16</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2b47432e-5e68-4c69-9994-0823f099727f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b47432e-5e68-4c69-9994-0823f099727f' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-3865dc1f-a736-4c92-82b0-887b9f1211f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3865dc1f-a736-4c92-82b0-887b9f1211f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eff23db2-8612-474b-9c1f-f696c794b6aa' class='xr-var-data-in' type='checkbox'><label for='data-eff23db2-8612-474b-9c1f-f696c794b6aa' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... 0.4 -2.033e-13</div><input id='attrs-14db3b31-3227-43cc-924e-938d8ba7a643' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14db3b31-3227-43cc-924e-938d8ba7a643' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a2a4b35-fcf5-468a-97c1-5a42368e9c60' class='xr-var-data-in' type='checkbox'><label for='data-7a2a4b35-fcf5-468a-97c1-5a42368e9c60' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([ 9.000000e+01,  8.960000e+01,  8.920000e+01, ...,  8.000000e-01,\n",
       "        4.000000e-01, -2.032818e-13], dtype=float32)</pre></div></li><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'>2021-08-01 ... 2021-08-08T12:00:00</div><input id='attrs-c94d1e17-e84d-4f83-9ff5-d05101b2d905' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c94d1e17-e84d-4f83-9ff5-d05101b2d905' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88a2b205-4eab-4e8b-abb9-5b59f274a53c' class='xr-var-data-in' type='checkbox'><label for='data-88a2b205-4eab-4e8b-abb9-5b59f274a53c' 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>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-08-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-02T00:00:00.000000000&#x27;, &#x27;2021-08-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-03T00:00:00.000000000&#x27;, &#x27;2021-08-03T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-04T00:00:00.000000000&#x27;, &#x27;2021-08-04T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-05T00:00:00.000000000&#x27;, &#x27;2021-08-05T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-06T00:00:00.000000000&#x27;, &#x27;2021-08-06T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-07T00:00:00.000000000&#x27;, &#x27;2021-08-07T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-08T00:00:00.000000000&#x27;, &#x27;2021-08-08T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66e839a9-3352-47c2-8b30-44e5d3e8bffe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66e839a9-3352-47c2-8b30-44e5d3e8bffe' 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>omaod550</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1275356e-57d4-4b7b-9b6f-32cb16ddca70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1275356e-57d4-4b7b-9b6f-32cb16ddca70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cec4929-be4b-488d-b84a-f4ffe94d8821' class='xr-var-data-in' type='checkbox'><label for='data-9cec4929-be4b-488d-b84a-f4ffe94d8821' 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>~</dd><dt><span>long_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd></dl></div><div class='xr-var-data'><pre>[3254400 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod550</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-549eb55d-9a16-4541-9716-e943bb381bdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-549eb55d-9a16-4541-9716-e943bb381bdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93279d36-050e-40e2-91fb-193861a16701' class='xr-var-data-in' type='checkbox'><label for='data-93279d36-050e-40e2-91fb-193861a16701' 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>~</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd></dl></div><div class='xr-var-data'><pre>[3254400 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>duaod550</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-088e72e5-264d-4383-919a-aaeb4d758ff8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-088e72e5-264d-4383-919a-aaeb4d758ff8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4a6dbda-840e-4119-bc1c-4ca374aaaab4' class='xr-var-data-in' type='checkbox'><label for='data-c4a6dbda-840e-4119-bc1c-4ca374aaaab4' 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>~</dd><dt><span>long_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd></dl></div><div class='xr-var-data'><pre>[3254400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37f18237-02b7-4f29-ba1c-4abdc91aa614' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37f18237-02b7-4f29-ba1c-4abdc91aa614' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2021-12-06 13:03:27 GMT by grib_to_netcdf-2.23.0: /opt/ecmwf/mars-client/bin/grib_to_netcdf -S param -o /cache/tmp/039bb53f-1382-4555-bf74-6921b5d8ce61-adaptor.mars_constrained.external-1638795807.3620677-26035-27-tmp.nc /cache/tmp/039bb53f-1382-4555-bf74-6921b5d8ce61-adaptor.mars_constrained.external-1638795807.1954212-26035-26-tmp.grib</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (longitude: 900, latitude: 226, time: 16)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -180.0 -179.6 -179.2 ... 178.8 179.2 179.6\n",
       "  * latitude   (latitude) float32 90.0 89.6 89.2 88.8 ... 1.2 0.8 0.4 -2.033e-13\n",
       "  * time       (time) datetime64[ns] 2021-08-01 ... 2021-08-08T12:00:00\n",
       "Data variables:\n",
       "    omaod550   (time, latitude, longitude) float32 ...\n",
       "    aod550     (time, latitude, longitude) float32 ...\n",
       "    duaod550   (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2021-12-06 13:03:27 GMT by grib_to_netcdf-2.23.0: /opt/ecmw..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the dataset has three variables. Selecting the \"show/hide attributes\" icons reveals their names: **\"omaod550\"** is \"Organic Matter Aerosol Optical Depth at 550nm\", **\"aod550\"** is \"Total Aerosol Optical Depth at 550nm\" and **\"duaod550\"** is \"Dust Aerosol Optical Depth at 550nm\".\n",
    "The dataset also has three coordinates of **longitude**, **latitude** and **time**.\n",
    "\n",
    "We will now look more carefully at the \"Total Aerosol Optical Depth at 550nm\" dataset.\n",
    "\n",
    "While an Xarray **dataset** may contain multiple variables, an Xarray **data array** holds a single multi-dimensional variable and its coordinates. To make the processing of the **omaod550** data easier, we convert in into an Xarray data array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create Xarray Data Array\n",
    "da = ds['omaod550']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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;omaod550&#x27; (time: 16, latitude: 226, longitude: 900)&gt;\n",
       "[3254400 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -180.0 -179.6 -179.2 ... 178.8 179.2 179.6\n",
       "  * latitude   (latitude) float32 90.0 89.6 89.2 88.8 ... 1.2 0.8 0.4 -2.033e-13\n",
       "  * time       (time) datetime64[ns] 2021-08-01 ... 2021-08-08T12:00:00\n",
       "Attributes:\n",
       "    units:      ~\n",
       "    long_name:  Organic Matter Aerosol Optical Depth at 550nm</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'>'omaod550'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 16</li><li><span class='xr-has-index'>latitude</span>: 226</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6f21ecbc-bd9e-4bc0-b57c-958941164d7e' class='xr-array-in' type='checkbox' checked><label for='section-6f21ecbc-bd9e-4bc0-b57c-958941164d7e' 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>...</span></div><div class='xr-array-data'><pre>[3254400 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-084106e9-bc07-4a7f-b381-5c6f4ba50eaa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-084106e9-bc07-4a7f-b381-5c6f4ba50eaa' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-65f31d3d-4e1e-4511-9d3c-77a7fa4a596b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65f31d3d-4e1e-4511-9d3c-77a7fa4a596b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f01fc122-9e7c-4a9c-ba5f-89b5d2654dc3' class='xr-var-data-in' type='checkbox'><label for='data-f01fc122-9e7c-4a9c-ba5f-89b5d2654dc3' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... 0.4 -2.033e-13</div><input id='attrs-ba8665e2-d1e0-4132-8704-86129afd3172' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba8665e2-d1e0-4132-8704-86129afd3172' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e303fa1-0645-4b13-9373-75519dff3a94' class='xr-var-data-in' type='checkbox'><label for='data-6e303fa1-0645-4b13-9373-75519dff3a94' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([ 9.000000e+01,  8.960000e+01,  8.920000e+01, ...,  8.000000e-01,\n",
       "        4.000000e-01, -2.032818e-13], dtype=float32)</pre></div></li><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'>2021-08-01 ... 2021-08-08T12:00:00</div><input id='attrs-23a229c6-84a0-487e-92dc-a2534b097952' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23a229c6-84a0-487e-92dc-a2534b097952' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3c578c3-3daa-4454-9f98-324d90c243a8' class='xr-var-data-in' type='checkbox'><label for='data-f3c578c3-3daa-4454-9f98-324d90c243a8' 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>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-08-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-02T00:00:00.000000000&#x27;, &#x27;2021-08-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-03T00:00:00.000000000&#x27;, &#x27;2021-08-03T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-04T00:00:00.000000000&#x27;, &#x27;2021-08-04T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-05T00:00:00.000000000&#x27;, &#x27;2021-08-05T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-06T00:00:00.000000000&#x27;, &#x27;2021-08-06T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-07T00:00:00.000000000&#x27;, &#x27;2021-08-07T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-08T00:00:00.000000000&#x27;, &#x27;2021-08-08T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5cd71674-a460-43ba-8174-25e3de37dbcc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5cd71674-a460-43ba-8174-25e3de37dbcc' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>~</dd><dt><span>long_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'omaod550' (time: 16, latitude: 226, longitude: 900)>\n",
       "[3254400 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -180.0 -179.6 -179.2 ... 178.8 179.2 179.6\n",
       "  * latitude   (latitude) float32 90.0 89.6 89.2 88.8 ... 1.2 0.8 0.4 -2.033e-13\n",
       "  * time       (time) datetime64[ns] 2021-08-01 ... 2021-08-08T12:00:00\n",
       "Attributes:\n",
       "    units:      ~\n",
       "    long_name:  Organic Matter Aerosol Optical Depth at 550nm"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will now view this data, initially for just one time step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_step = 0\n",
    "\n",
    "# create the figure panel \n",
    "fig = plt.figure(figsize=(10, 5)) # Define the figure and specify size\n",
    "\n",
    "# create the map using the cartopy PlateCarree projection\n",
    "ax = plt.subplot(1,1,1, projection=ccrs.PlateCarree())\n",
    "\n",
    "# Specify geographical extent\n",
    "ax.set_extent([-150,-50,25,80], crs=ccrs.PlateCarree()) \n",
    "\n",
    "# Add lat/lon grid\n",
    "ax.gridlines(draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='--') \n",
    "\n",
    "# Set figure title\n",
    "ax.set_title(f'Organic Matter AOD at 550nm, {da.time[time_step].values}', fontsize=12) \n",
    "\n",
    "# Plot the data\n",
    "im = plt.pcolormesh(da.longitude, da.latitude, da[time_step,:,:], cmap='YlOrRd', vmin=0, vmax=2) \n",
    "\n",
    "# Add coastlines\n",
    "ax.coastlines(color='black') \n",
    "\n",
    "# Specify the colourbar\n",
    "cbar = plt.colorbar(im,fraction=0.046, pad=0.04) \n",
    "\n",
    "# Define the colourbar label\n",
    "cbar.set_label('Organic Matter AOD at 550nm') \n",
    "\n",
    "# Save the figure\n",
    "fig.savefig(f'{DATADIR}OrganicMatterAOD_NHem_2021-08-01_map.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To visualise the temporal dimension of this data we will create an animation, with each frame corresponding to a time step. These include 00:00 and 12:00 at each day from 1 to 8 August."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "filenames = [] # Define an empty list of filenames\n",
    "n = da.time.shape[0] # Number of frames in animation (= number of time-steps)\n",
    "\n",
    "for i in range(n):\n",
    "    fig = plt.figure(figsize=(10, 5)) # Define the figure and specify size\n",
    "    ax = plt.subplot(1,1,1, projection=ccrs.PlateCarree()) # Specify plot area & projection\n",
    "    ax.set_extent([-150,-50,25,80], crs=ccrs.PlateCarree()) # Specify geographical extent\n",
    "    ax.gridlines(draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='--') # Add lat/lon grid\n",
    "    ax.set_title(f'Organic Matter AOD at 550nm, {str(da.time[i].values)[:-16]}', fontsize=12) # Set figure title\n",
    "    im = plt.pcolormesh(da.longitude, da.latitude, da[i,:,:], cmap='YlOrRd', vmin=0, vmax=2) # Plot the data, iterating over time\n",
    "    ax.coastlines(color='black') # Add coastlines\n",
    "    cbar = plt.colorbar(im,fraction=0.046, pad=0.04) # Specify the colourbar\n",
    "    cbar.set_label('AOD at 550nm') # Define the colourbar label\n",
    "    filename = f'{DATADIR}OMAOD_{str(da.time[i].values)[:-16]}.png' # Define a filename for each frame, in PNG format\n",
    "    fig.savefig(filename) # Save the frame as a PNG file\n",
    "    filenames.append(filename) # Append the frame to a list, to later create an animated gif\n",
    "    plt.show() # Display the figure\n",
    "    sleep(0.01) # Specify time delay for each iteration (frame) of the animation\n",
    "    clear_output(wait=True) # Clear the output (figure) before the next iteration (frame) of the animation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the animation as an animated GIF\n",
    "\n",
    "with imageio.get_writer(f'{DATADIR}OMAOD_Animated.gif', mode='I') as writer:\n",
    "    for filename in filenames:\n",
    "        image = imageio.imread(filename)\n",
    "        writer.append_data(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The animation clearly shows the high values of total aerosol optical depth which appear to originate from the many different wildfires burning across North America in this period. This includes the Dixie fire, which, by August 6, had grown to become the largest single (i.e. non-complex) wildfire in California's history, and the second-largest wildfire overall. \n",
    "\n",
    "The animation also shows these high values crossing the continent to the east coast where it still affects local air quality."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Change colormap\n",
    "\n",
    "One more step we will make is to change the colormap of the animation to that commonly used for CAMS products. To do this, we run the code below, then in the animation code above, replace the `cmap='YlOrRd'`, which is one of the default colormaps of Matplotlib, with `cmap=camscmp`, which is the custom colormap below. After this we can re-run the animation with a nice CAMS colormap :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This code is just to create a colormap similar to that used in CAMS products.\n",
    "\n",
    "from matplotlib.colors import ListedColormap\n",
    "\n",
    "matrix = np.array([[256, 256, 256],\n",
    "                   [210, 214, 234],\n",
    "                   [167, 174, 214],\n",
    "                   [135, 145, 190],\n",
    "                   [162, 167, 144],\n",
    "                   [189, 188, 101],\n",
    "                   [215, 209, 57],\n",
    "                   [242, 230, 11],\n",
    "                   [243, 197, 10],\n",
    "                   [245, 164, 8],\n",
    "                   [247, 131, 6],\n",
    "                   [248, 98, 5],\n",
    "                   [250, 65, 3],\n",
    "                   [252, 32, 1],\n",
    "                   [254, 0, 0]])\n",
    "n = 17 # Multiplication number\n",
    "\n",
    "cams = np.ones((253, 4)) # Initial empty colormap, to be filled by the colours in 'matrix'.\n",
    "\n",
    "# This loop fills in the empty 'cams' colormap with each of the 15 colours in 'matrix'\n",
    "# multiplied by 'n'. Each colour is divided by 256 to normalise from 0 (black) to 1 (white). \n",
    "for i in range(matrix.shape[0]):\n",
    "    cams[(i*n):((i+1)*n),:] = np.array([matrix[i,0]/256, matrix[i,1]/256, matrix[i,2]/256, 1])\n",
    "\n",
    "# The final colormap is given by 'camscmp', which uses the Matplotlib class 'ListedColormap(Colormap)'\n",
    "# to generate a colormap object from the list of colours provided by 'cams'.\n",
    "camscmp = ListedColormap(cams)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id='variables'></a>Compare atmospheric composition variables\n",
    "\n",
    "We will now try to understand what may be contributing to the total AOD values we have observed in the animation above. We will view and compare the total AOD with the organic matter AOD and dust AOD, for one time step. We will also extend the range to include the entire northern hemisphere."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['omaod550', 'aod550', 'duaod550']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variables = list(ds.keys())\n",
    "variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Switch the order of variables to make total AOD (aod550) appear first. This is so that when we iteratively plot the variables (below), total AOD appears first in the list. This enables easier comparison of total AOD with the constituent variables of organic matter and dust AOD."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "variables[0], variables[1] = variables[1], variables[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['aod550', 'omaod550', 'duaod550']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 3, figsize = (20, 10), subplot_kw={'projection': ccrs.Orthographic(central_latitude=90)})\n",
    "\n",
    "for i in range(3):\n",
    "    da = ds[variables[i]]\n",
    "    axs[i].gridlines(draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='--') # Add lat/lon grid\n",
    "    axs[i].set_title(f'{variables[i]}, {str(da.time[i].values)[:-19]}', fontsize=12) # Set figure title\n",
    "    im = axs[i].pcolormesh(da.longitude, da.latitude, da[0,:,:],\n",
    "                            transform = ccrs.PlateCarree(), cmap=camscmp, vmin=0, vmax=2)\n",
    "    axs[i].coastlines(color='black') # Add coastlines\n",
    "    cbar = fig.colorbar(im, ax=axs[i], fraction=0.046, pad=0.04) # Specify the colourbar\n",
    "    cbar.set_label(variables[i]) # Define the colourbar label\n",
    "\n",
    "plt.show() # Display the figure\n",
    "fig.savefig(f'{DATADIR}AOD_NHem.png') # Save the figure"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the high values of AOD seem to be mainly due to organic matter in North America and Siberia, which saw many wildfire activity in this period, while further south we can see a dust contribution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id='reanalysis'></a>CAMS global reanalysis (EAC4) monthly averaged fields"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this part of the tutorial we will look at another CAMS dataset, the fourth generation ECMWF global reanalysis of atmospheric composition (EAC4). Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using a model of the atmosphere based on the laws of physics and chemistry.\n",
    "\n",
    "We will use the monthly averaged version of this data to analyse August climatology of the distribution of Carbon Monoxide in the Northern Hemisphere at different vertical layers in the atmosphere.\n",
    "\n",
    "This dataset is listed in the ADS as `CAMS global reanalysis (EAC4) monthly averaged fields`. Search for this dataset using the filters, or keywords."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The API request below shows the download parameters that we will select:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\cxcs\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py:1013: InsecureRequestWarning: Unverified HTTPS request is being made to host 'ads.atmosphere.copernicus.eu'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
      "  warnings.warn(\n",
      "2022-02-11 14:01:00,531 INFO Welcome to the CDS\n",
      "2022-02-11 14:01:00,532 INFO Sending request to https://ads.atmosphere.copernicus.eu/api/v2/resources/cams-global-reanalysis-eac4-monthly\n",
      "C:\\Users\\cxcs\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py:1013: InsecureRequestWarning: Unverified HTTPS request is being made to host 'ads.atmosphere.copernicus.eu'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
      "  warnings.warn(\n",
      "2022-02-11 14:01:00,643 INFO Request is completed\n",
      "2022-02-11 14:01:00,654 INFO Downloading https://download-0003.copernicus-atmosphere.eu/cache-compute-0003/cache/data6/adaptor.mars.internal-1637880838.2016644-31893-9-36c5d906-eee0-44bd-9ad1-663c34fae020.zip to ./AC/EAC4_AugClim_CO.zip (31.9M)\n",
      "C:\\Users\\cxcs\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py:1013: InsecureRequestWarning: Unverified HTTPS request is being made to host 'download-0003.copernicus-atmosphere.eu'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
      "  warnings.warn(\n",
      "2022-02-11 14:01:11,002 INFO Download rate 3.1M/s                                                                      \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Result(content_length=33461782,content_type=application/zip,location=https://download-0003.copernicus-atmosphere.eu/cache-compute-0003/cache/data6/adaptor.mars.internal-1637880838.2016644-31893-9-36c5d906-eee0-44bd-9ad1-663c34fae020.zip)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = cdsapi.Client(url=ADS_URL, key=ADS_KEY)\n",
    "c.retrieve(\n",
    "    'cams-global-reanalysis-eac4-monthly',\n",
    "    {\n",
    "        'variable': 'carbon_monoxide',\n",
    "        'pressure_level': [\n",
    "            '100', '150', '200',\n",
    "            '250', '300', '400',\n",
    "            '500', '600', '700',\n",
    "            '800', '850', '900',\n",
    "            '925', '950', '1000',\n",
    "        ],\n",
    "        'model_level': '60',\n",
    "        'year': [\n",
    "            '2003', '2004', '2005',\n",
    "            '2006', '2007', '2008',\n",
    "            '2009', '2010', '2011',\n",
    "            '2012', '2013', '2014',\n",
    "            '2015', '2016', '2017',\n",
    "            '2018', '2019', '2020',\n",
    "        ],\n",
    "        'month': '08',\n",
    "        'product_type': 'monthly_mean',\n",
    "        'format': 'netcdf',\n",
    "        'area': [\n",
    "            90, -180, 0,\n",
    "            180,\n",
    "        ],\n",
    "    },\n",
    "    f'{DATADIR}EAC4_AugClim_CO.zip')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extract the file, open it as an Xarray dataset, and inspect the contents:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "with ZipFile(f'{DATADIR}EAC4_AugClim_CO.zip', 'r') as zipObj:\n",
    "   zipObj.extractall(path=f'{DATADIR}EAC4_AugClim_CO/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:    (longitude: 480, latitude: 121, level: 15, time: 18)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -180.0 -179.2 -178.5 ... 177.8 178.5 179.2\n",
       "  * latitude   (latitude) float32 90.0 89.25 88.5 87.75 ... 2.25 1.5 0.75 0.0\n",
       "  * level      (level) int32 100 150 200 250 300 400 ... 850 900 925 950 1000\n",
       "  * time       (time) datetime64[ns] 2003-08-01 2004-08-01 ... 2020-08-01\n",
       "Data variables:\n",
       "    co         (time, level, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2021-11-25 22:53:57 GMT by grib_to_netcdf-2.23.0: /opt/ecmw...</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-3f8511e5-85f5-4050-95aa-a5047be378c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f8511e5-85f5-4050-95aa-a5047be378c7' 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'>longitude</span>: 480</li><li><span class='xr-has-index'>latitude</span>: 121</li><li><span class='xr-has-index'>level</span>: 15</li><li><span class='xr-has-index'>time</span>: 18</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-64f89bc9-4cd4-47f9-9b70-adacde50c9f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-64f89bc9-4cd4-47f9-9b70-adacde50c9f2' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.2 ... 178.5 179.2</div><input id='attrs-5f6a32d9-2a07-4e10-817b-78eb9ba26385' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f6a32d9-2a07-4e10-817b-78eb9ba26385' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25862ef5-6f0f-4c3b-b184-177ec29a18ff' class='xr-var-data-in' type='checkbox'><label for='data-25862ef5-6f0f-4c3b-b184-177ec29a18ff' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180.  , -179.25, -178.5 , ...,  177.75,  178.5 ,  179.25],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.25 88.5 ... 1.5 0.75 0.0</div><input id='attrs-7c26bd12-8b5a-4475-8a57-a48b35038902' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c26bd12-8b5a-4475-8a57-a48b35038902' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26f80d18-0d0f-44c7-a7a3-380d36727b5e' class='xr-var-data-in' type='checkbox'><label for='data-26f80d18-0d0f-44c7-a7a3-380d36727b5e' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([90.  , 89.25, 88.5 , 87.75, 87.  , 86.25, 85.5 , 84.75, 84.  , 83.25,\n",
       "       82.5 , 81.75, 81.  , 80.25, 79.5 , 78.75, 78.  , 77.25, 76.5 , 75.75,\n",
       "       75.  , 74.25, 73.5 , 72.75, 72.  , 71.25, 70.5 , 69.75, 69.  , 68.25,\n",
       "       67.5 , 66.75, 66.  , 65.25, 64.5 , 63.75, 63.  , 62.25, 61.5 , 60.75,\n",
       "       60.  , 59.25, 58.5 , 57.75, 57.  , 56.25, 55.5 , 54.75, 54.  , 53.25,\n",
       "       52.5 , 51.75, 51.  , 50.25, 49.5 , 48.75, 48.  , 47.25, 46.5 , 45.75,\n",
       "       45.  , 44.25, 43.5 , 42.75, 42.  , 41.25, 40.5 , 39.75, 39.  , 38.25,\n",
       "       37.5 , 36.75, 36.  , 35.25, 34.5 , 33.75, 33.  , 32.25, 31.5 , 30.75,\n",
       "       30.  , 29.25, 28.5 , 27.75, 27.  , 26.25, 25.5 , 24.75, 24.  , 23.25,\n",
       "       22.5 , 21.75, 21.  , 20.25, 19.5 , 18.75, 18.  , 17.25, 16.5 , 15.75,\n",
       "       15.  , 14.25, 13.5 , 12.75, 12.  , 11.25, 10.5 ,  9.75,  9.  ,  8.25,\n",
       "        7.5 ,  6.75,  6.  ,  5.25,  4.5 ,  3.75,  3.  ,  2.25,  1.5 ,  0.75,\n",
       "        0.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>100 150 200 250 ... 925 950 1000</div><input id='attrs-4396d7ce-3f4b-4c62-87b2-f60eab7ab110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4396d7ce-3f4b-4c62-87b2-f60eab7ab110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c09b8adc-0062-4470-a053-f8a54a3ba767' class='xr-var-data-in' type='checkbox'><label for='data-c09b8adc-0062-4470-a053-f8a54a3ba767' 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>millibars</dd><dt><span>long_name :</span></dt><dd>pressure_level</dd></dl></div><div class='xr-var-data'><pre>array([ 100,  150,  200,  250,  300,  400,  500,  600,  700,  800,  850,  900,\n",
       "        925,  950, 1000])</pre></div></li><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'>2003-08-01 ... 2020-08-01</div><input id='attrs-eefd782d-4acb-47df-91bc-b006a6e50a31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eefd782d-4acb-47df-91bc-b006a6e50a31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2817982d-e168-4d0f-8092-28e5199b27d6' class='xr-var-data-in' type='checkbox'><label for='data-2817982d-e168-4d0f-8092-28e5199b27d6' 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>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2006-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2008-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-01T00:00:00.000000000&#x27;, &#x27;2012-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-01T00:00:00.000000000&#x27;, &#x27;2014-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2016-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-01T00:00:00.000000000&#x27;, &#x27;2018-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-448630e9-ba09-4889-ba4a-b828db2c2ff0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-448630e9-ba09-4889-ba4a-b828db2c2ff0' 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>co</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1e53941-f5c9-42cd-878f-181a4e132856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1e53941-f5c9-42cd-878f-181a4e132856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df9066bc-84b7-44a1-b518-791f0b70ea1a' class='xr-var-data-in' type='checkbox'><label for='data-df9066bc-84b7-44a1-b518-791f0b70ea1a' 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>kg kg**-1</dd><dt><span>long_name :</span></dt><dd>Carbon monoxide mass mixing ratio</dd><dt><span>standard_name :</span></dt><dd>mass_fraction_of_carbon_monoxide_in_air</dd></dl></div><div class='xr-var-data'><pre>[15681600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9ad5cc7-8ac3-4797-926b-dd3fae44bdde' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9ad5cc7-8ac3-4797-926b-dd3fae44bdde' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2021-11-25 22:53:57 GMT by grib_to_netcdf-2.23.0: /opt/ecmwf/mars-client/bin/grib_to_netcdf -S param -o /cache/tmp/36c5d906-eee0-44bd-9ad1-663c34fae020-adaptor.mars.internal-1637880836.619887-31893-25-tmp.nc /cache/tmp/36c5d906-eee0-44bd-9ad1-663c34fae020-adaptor.mars.internal-1637880812.8495977-31893-23-tmp.grib</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (longitude: 480, latitude: 121, level: 15, time: 18)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -180.0 -179.2 -178.5 ... 177.8 178.5 179.2\n",
       "  * latitude   (latitude) float32 90.0 89.25 88.5 87.75 ... 2.25 1.5 0.75 0.0\n",
       "  * level      (level) int32 100 150 200 250 300 400 ... 850 900 925 950 1000\n",
       "  * time       (time) datetime64[ns] 2003-08-01 2004-08-01 ... 2020-08-01\n",
       "Data variables:\n",
       "    co         (time, level, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2021-11-25 22:53:57 GMT by grib_to_netcdf-2.23.0: /opt/ecmw..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fn = f'{DATADIR}EAC4_AugClim_CO/levtype_pl.nc'\n",
    "ds_co = xr.open_dataset(fn)\n",
    "ds_co"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the data includes monthly averaged CO in every August from 2003 to 2020, for the Northern Hemisphere."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create an Xarray Data Array for the variable CO to faciliate further processing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "da_co = ds_co['co']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate climatology for August\n",
    "\n",
    "We will now create the climatology for August by taking the mean of all years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "clim = da_co.mean(\"time\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create meridional mean plot\n",
    "To visualise the August CO climatology as a function of longitude and altitude, we will create a meridional mean plot. To create such a two dimensional plot we will need to average over the latitudinal axis.\n",
    "\n",
    "A very important consideration however is that the gridded data cells do not all correspond to the same areas. The size covered by each data point varies as a function of latitude. We need to take this into account when averaging. One way to do this is to use the cosine of the latitude as a proxy for the varying sizes. \n",
    "\n",
    "First, we calculate weights as a funtion of the cosine of the latitude, then we apply these weights to the data array with the xarray function `weighted()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "weights = np.cos(np.deg2rad(clim.latitude))\n",
    "weights.name = \"weights\"\n",
    "clim_weighted = clim.weighted(weights)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The next step is then to compute the mean across the latitude dimension of the weighted data array:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Average (mean) over the latitudinal axis\n",
    "clim_MMP = clim_weighted.mean(dim=\"latitude\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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;co&#x27; (level: 15, longitude: 480)&gt;\n",
       "array([[3.7636351e-08, 3.7613120e-08, 3.7594834e-08, ..., 3.7727435e-08,\n",
       "        3.7694573e-08, 3.7667284e-08],\n",
       "       [5.1665104e-08, 5.1565820e-08, 5.1470167e-08, ..., 5.2007980e-08,\n",
       "        5.1893519e-08, 5.1769817e-08],\n",
       "       [6.0400083e-08, 6.0323011e-08, 6.0247352e-08, ..., 6.0686837e-08,\n",
       "        6.0596612e-08, 6.0497200e-08],\n",
       "       ...,\n",
       "       [7.5388236e-08, 7.5252053e-08, 7.5132576e-08, ..., 7.5867327e-08,\n",
       "        7.5752745e-08, 7.5576835e-08],\n",
       "       [7.5198876e-08, 7.5047538e-08, 7.4924365e-08, ..., 7.5671807e-08,\n",
       "        7.5546851e-08, 7.5373151e-08],\n",
       "       [7.5109575e-08, 7.4985444e-08, 7.4866882e-08, ..., 7.5554262e-08,\n",
       "        7.5437178e-08, 7.5261070e-08]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -180.0 -179.2 -178.5 ... 177.8 178.5 179.2\n",
       "  * level      (level) int32 100 150 200 250 300 400 ... 850 900 925 950 1000</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'>'co'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>level</span>: 15</li><li><span class='xr-has-index'>longitude</span>: 480</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-323105e8-a274-4037-abc2-c433c0c78404' class='xr-array-in' type='checkbox' checked><label for='section-323105e8-a274-4037-abc2-c433c0c78404' 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>3.764e-08 3.761e-08 3.759e-08 ... 7.555e-08 7.544e-08 7.526e-08</span></div><div class='xr-array-data'><pre>array([[3.7636351e-08, 3.7613120e-08, 3.7594834e-08, ..., 3.7727435e-08,\n",
       "        3.7694573e-08, 3.7667284e-08],\n",
       "       [5.1665104e-08, 5.1565820e-08, 5.1470167e-08, ..., 5.2007980e-08,\n",
       "        5.1893519e-08, 5.1769817e-08],\n",
       "       [6.0400083e-08, 6.0323011e-08, 6.0247352e-08, ..., 6.0686837e-08,\n",
       "        6.0596612e-08, 6.0497200e-08],\n",
       "       ...,\n",
       "       [7.5388236e-08, 7.5252053e-08, 7.5132576e-08, ..., 7.5867327e-08,\n",
       "        7.5752745e-08, 7.5576835e-08],\n",
       "       [7.5198876e-08, 7.5047538e-08, 7.4924365e-08, ..., 7.5671807e-08,\n",
       "        7.5546851e-08, 7.5373151e-08],\n",
       "       [7.5109575e-08, 7.4985444e-08, 7.4866882e-08, ..., 7.5554262e-08,\n",
       "        7.5437178e-08, 7.5261070e-08]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-1ead3726-92ba-40ed-90c4-c17256e40dd2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1ead3726-92ba-40ed-90c4-c17256e40dd2' class='xr-section-summary' >Coordinates: <span>(2)</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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.2 ... 178.5 179.2</div><input id='attrs-0dc2ce20-6f2c-4c4f-af6b-29e56a9fa3f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0dc2ce20-6f2c-4c4f-af6b-29e56a9fa3f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee86cfe1-8732-4363-9ed9-59ec42f7a727' class='xr-var-data-in' type='checkbox'><label for='data-ee86cfe1-8732-4363-9ed9-59ec42f7a727' 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([-180.  , -179.25, -178.5 , ...,  177.75,  178.5 ,  179.25],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>100 150 200 250 ... 925 950 1000</div><input id='attrs-0d96ea2c-7c30-4e4a-98b5-ff74d62853d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d96ea2c-7c30-4e4a-98b5-ff74d62853d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6600bc1-6738-474c-9ba3-2963c9a7b618' class='xr-var-data-in' type='checkbox'><label for='data-d6600bc1-6738-474c-9ba3-2963c9a7b618' 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([ 100,  150,  200,  250,  300,  400,  500,  600,  700,  800,  850,  900,\n",
       "        925,  950, 1000])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f59cf6c0-0045-445d-b1b0-9db7f8a8506d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f59cf6c0-0045-445d-b1b0-9db7f8a8506d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'co' (level: 15, longitude: 480)>\n",
       "array([[3.7636351e-08, 3.7613120e-08, 3.7594834e-08, ..., 3.7727435e-08,\n",
       "        3.7694573e-08, 3.7667284e-08],\n",
       "       [5.1665104e-08, 5.1565820e-08, 5.1470167e-08, ..., 5.2007980e-08,\n",
       "        5.1893519e-08, 5.1769817e-08],\n",
       "       [6.0400083e-08, 6.0323011e-08, 6.0247352e-08, ..., 6.0686837e-08,\n",
       "        6.0596612e-08, 6.0497200e-08],\n",
       "       ...,\n",
       "       [7.5388236e-08, 7.5252053e-08, 7.5132576e-08, ..., 7.5867327e-08,\n",
       "        7.5752745e-08, 7.5576835e-08],\n",
       "       [7.5198876e-08, 7.5047538e-08, 7.4924365e-08, ..., 7.5671807e-08,\n",
       "        7.5546851e-08, 7.5373151e-08],\n",
       "       [7.5109575e-08, 7.4985444e-08, 7.4866882e-08, ..., 7.5554262e-08,\n",
       "        7.5437178e-08, 7.5261070e-08]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -180.0 -179.2 -178.5 ... 177.8 178.5 179.2\n",
       "  * level      (level) int32 100 150 200 250 300 400 ... 850 900 925 950 1000"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clim_MMP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can plot and visualise our data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\cxcs\\AppData\\Local\\Temp/ipykernel_18436/2673752635.py:22: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3.  Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading'].  This will become an error two minor releases later.\n",
      "  im = plt.pcolormesh(clim_MMP.longitude, y, clim_MMP, cmap=camscmp)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAooAAAFNCAYAAACHcU4dAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAABFaElEQVR4nO3debxdVX3+8c/DPCpDEgiXYIIGaUCgGnHAAURlKIhYxeBElRpowaH6s0C1otK0WodWC4hRKVgFjAOaKgqIAtWCTEJMApRIImSAhEFmkSTP74+9LpzcnHPvvsO55+be5/16ndc5e+2191pnn3NPvllrr7Vkm4iIiIiInjbqdAUiIiIiYmRKoBgRERERTSVQjIiIiIimEihGRERERFMJFCMiIiKiqQSKEREREdFUAsWIUUDSlZL+urx+u6TLOl0nWLdew1jmP0j62nCW2V+duC6dMlTfR0mW9LyhqFNE1JdAMUYsSW+TdIOkRyWtkPQTSa9o2D9N0lxJD0l6RNIvJL28xnmnSFor6ez2voN66gQNkjaT9AlJd0h6TNISSedKmtwzr+1v2X59p+raabb/2faA6ijpvBKQ7N+Q9jxJA55wtnxu3xzo8UOtVX3aFYi18/sYEe2XQDFGJEkfAv4d+GdgJ2A34GzgqLL/ucCvgN8CU4BdgIuByyS9rI/Tvwt4EJghafN21L8Nvgu8AXgb8GxgX+BG4OBOVmqUegD4p6E4kaRNhuI8vZxfkvI73g/t/kwiRpv8wMSII+nZwKeAk2x/3/Zjtp+y/d+2P1KyfQK4xvZHbT9g+xHbXwL+C/hMH0W8C/gY8BRwZEO5k0uryiYNaY1duhtL+ryk+yQtlnRyY/7SyvfahmOfbrmRtIWkb0q6X9IfJF0vaSdJs4BXAmeWltMzm1yP1wKvA46yfb3t1bYfsn2W7a83yf9Xkn7ZsG1Jf1taIx+RdIak50q6RtLDkuZI2qzk3V7SjyStkvRgeb1r2de0rpJeXt7PQ+W5aauupI0kfUzS7yWtlPSN8ll3739X2Xe/pH/svp6Sdpb0uKQdG/K+qNRx0yblNF737s/0OEl3lc/uo83q1+B8YB9Jr27xPnYpLdkPSFok6b09yv5u+awfBk4E/gF4a7lmtzSc6jmSflU+k8skjWs4z0sl/W/5rtwi6cCGfVdKmiXpV8DjwO7lPZ5YPuMHJZ0lSX28z5bKZ3WqpN+Vz2OOpB3Kvu5r+m5Jd5fyTpT0YknzSp3PbDjX099HVf6tfP4Plfx7l33nSTpH0uXlmlwl6Tk9qvbaVu9R0nsk3Vr2Xdp4bKnvSZLuAO4oaUdIurnU938l7TPQ6xUxmiVQjJHoZcAWVC2ErbwO+E6T9DnAAZK2anaQpFcCuwIXlbzv6ke93gscBuwHvBB4Yz+OPY6qJXASsCNVAPGE7Y8C/wOcbHsb2yc3Ofa1wHW27+5HeT0dCrwIeCnw98Bs4O2lPnsDx5Z8GwH/CTyHqhX3CeBMgGZ1LcHDj4Evlff1BeDHjUFdg78qj4OA3YFtus8taRpVi/HbgYlU16qrlHsPcCVwTMO53gFcZPupmu//FcDzqVpgPy7pz3rJ+zhVS/asFvsvBJZStWK/GfhnSY0tu0dRtQBvB3y9nOvb5Zrt25DvbcC7gQnAZsD/A5DURXVN/wnYoaR/T9L4hmPfCcwEtgV+X9KOAF5M1dp8DHBIL++xL++n+n6/urzPB4GzeuR5CTAVeCtV6/9Hqb6rewHHtAi0Xw+8CtiD6vq8Fbi/Yf/bgTOAccDNwLd6HN/0PUp6I1VA/iZgPNX39MIex76x1HmapBcC5wInUH1vvwLM1YbTwxAxbBIoxki0I3Cf7dW95BkHrGiSvoLqe719i+OOA35i+0HgAuAwSRNq1usY4Iu2l5bjP13zOKhaL3cEnmd7je0bbT9c89gdaf5e++Mzth+2vQCYD1xm+07bDwE/Af4cwPb9tr9n+3Hbj1AFS01b1oq/AO6w/V+lpfNC4DYaWmobvB34Qin3UeA0qu7/TagCrv+2/UvbfwI+DjTeF3g+VXCIpI2pAtv/6sf7/6TtJ2zfAtxCFWj05ivAbpIOa0yUNIkq6DzF9h9t3wx8jSpw63aN7R/YXmv7iV7K+E/b/1fyzKH6DwhU7/MS25eUc1wO3AAc3nDsebYXlGveHSx/2vYfbN8F/KLhfM0cU1rSnn702H8C8NHyXX+SqgX/zVq32/aMcg0uAx4DLrS90vYyqkDtz5uU+xRVcLsnINu32m78bv/Y9tWlzI8CLyvXvFur93gC8C/lfKupgvP9erRI/kvpfXiC6j99X7H96/L3eD7wJNV/pGIUU3Vv90pJ84fgXAeVVunuxx/Lf1pGlQSKMRLdD4xT7/cS3UfV8tTTRGAtVQvIOiRtCbyF0kph+xrgLqqWnTp2ARpb9frTwvdfwKXARZKWS/pXNek2beF+mr/X/ri34fUTTba3AZC0laSvqOoCfhi4GtiuBGfN7MIzLVrdfk9pDewj7++BTajuQV3n2tp+nHVbmn5I1RK0O1Vr8kO2r2tRp2buaXj9OOX9tlIClTPKo7ELdxfggRJEN76Pxvdb93vRqk7PAd7SI4h7Bet+B5qV0Z/3OMf2do2PHvufA1zcUP6twBqqz6pbre9UI9s/p2pFPgu4V9JsSc9q9r7KfyYeoLrmfb3H5wBfbKjvA1SfW6vP5TnAh3tc40k9yorR6TyqHpZBs/0L2/vZ3g94DdV3ckTMODGUEijGSHQN8Ed679r9GVXQ19MxVC06jzfZdzTwLOBsSfdIuofqH5Lu7ufHynNjt/XODa9XUHVbd2ts6eg+vumx5R7LT9qeBrycqgutu9y+RtT+DNhf5V7BNvswVRftS2w/i6qbEJ4JlnrWdTnVP7qNdgOWNTl3z7y7AaupAox1rm0J6p/uvrb9R6pWt7dTtd71pzVxoP6Tqgv86Ia05cAOkrZtSOv5fnteo/6OmL4b+K8egdzWthtbsAc8CrsfdTisRx22KK2Fg2L7S7ZfRNVFvQfwkYbdT/9NSdqGqut9ec36ntCjvlva/t/Gonvkn9Uj/1alRTxGMdtXU/1H4mmq7tn+qaQbJf2PpD0HcOo3U/VWNfu3Z4OWQDFGnNId+nHgLElvLK1cm0o6TNK/lmyfBF6u6qb+HSRtK+l9VMHXKS1OfRzVfUkvoOqy2g84gKqL6gW2V1H9g/8OVQNX3gM8t+H4OcAHJHVJ2q5JOTdTdaVuKmk61Q8H8HQXxQtKy9zDVF1wa8rue6nu2Wt1PX4GXE7VwvMiSZuU93tiqeNQ2paqNegP5f7D03vs71nXS4A9VE1ltImktwLTgB81OfeFwN+pmp5oG565d2811T19R6oaGLMZ1efbczDGN6jucXwD0PbpZkq9PkHD51zuE/1f4F9UDVDaBzie9e+la3QvMFn1Ryd/k+paHFK+h1tIOnCY/qPQ7RxgVnfXraTxko4a7ElVDXh5SWlNf4zqP4RrGrIcLukV5TtwBvDrmvfmngOcJmmvUs6zJTX7j2S3rwInlrpI0taS/qLHfwBi7JgNvK/8B+b/Ud0v3V8zWP++2FEhgWKMSLa/AHyIanTyKqoWgJOBH5T9d1B1x+0LLKFqkfpL4BDbv+p5vjJA4GDg323f0/C4EfgpVRAJ1b1LH6Hq9tyLKijo9lWqboV5wG+ogqTVPPMP3T9SBZYPUgU6FzQcuzNVMPQwVTfeVTwT7HyR6v6vByV9qcUleXMp79vAQ1T3GU6nam0cSv8ObEnVtX8t1bVptE5dbd9P1Tr6Yapr9vfAEbbva3Luc6laAq8GFlMFCe8DKPdOvo9qkNEK4BFgJdV9Y5Q8v6K6reAm20uG4L3WcSHr3x96LDCZqqXrYuD0ch9hK92Dru6XdFNfBZbA6CiqwRnd3/2PMLy/118E5lJNN/UI1XfhJUNw3mdR/R09SNVlfz/wuYb9F1D95+QBqsFXb69zUtsXU812cFG5ZWI+1cCzVvlvoPpbP7PUZRHVf0JijCn/aX058B1JN1Pdnzyx7HuTpPlNHpf2OMdEqgaISxmFZLe7ByNidFI10OEc2z27XmOQyo/3H4Cpthc3pP8cuMD2iF55JfpP0nnAUtsf63RdYnRTtVDBj2zvXe6Rvd32gO8Dl/QBYC/bM4eqjiNJWhQjapK0paTDSxdrF1XLR29T+EQ/SDqy3GawNVUr02+pWou797+Yalqib3emhhEx2riafWJx960K5VaEvmZF6OlYRmm3M3QoUFST4enlPrPLVU2mermk7Rv2naZqYtvbJQ1mbrCIwRBVl/KDVF3Pt1LdSxlD4yiq7tzlVPPzzXDp8pB0PlU3+wd7jDiOiKhN0oVUAyafL2mppOOpbnE4XtWE+AsoK4DVPN9kqkFYV7WhuiNCR7qeJb0KeBT4hu3uWfn/lWraiU9LOhXY3vYpqibivRDYn2rqgp8Be9he0+L0ERERETEEOtKi2Gx4OlUEf355fT7PTI1yFNUKDE+We5UWUQWNEREREdFGI+kexZ26Z+gvz92rZXSx7kSpS2k+mW9EREREDKHeVr4YKZotbN+0v1zSTKr1T9l6661ftOeeA5kzMyKid0/8sbfVJWOs23KLDeGf1tHnxhtvvM/2+L5z9s8hku/vO9v69YFLbQ/JKjCdNJK+zfdKmmh7RZmTaGVJX8q6K2DsSouZ+m3Pppo4k+nTp/uGG25oZ30jYoyat3Bl35lizNpnWt3l42MoSeq5nOiQuB/oz3qh3TaGcUNdl04YSV3Pc3lm0uPjqNZ27U6fIWlzSVOoRkMO5DOLiIiIiH7oSItiGZ5+IDBO0lKq+eg+DcwpQ9Xvoqzja3uBpDnAQqpVME7KiOeIiIiI9utIoGj72Ba7Dm6RfxYwq301ioiIiIieRlLXc0RERESMIAkUIyIiIqKpBIoRERER0VQCxYiIiIhoKoFiRERERDSVQDEiIiIimkqgGBERERFNJVCMiIiIiKYSKEZEREREUwkUIyIiIqKpBIoRERER0VRH1nqWdC5wBLDS9t4l7RPAe4FVJds/2L6k7DsNOB5YA7zf9qXDXumIiIgYc7wZrN1F/T9wiYe+Mh3QqRbF84BDm6T/m+39yqM7SJwGzAD2KsecLWnjYatpRERExBjVkUDR9tXAAzWzHwVcZPtJ24uBRcD+batcRERERAAd6nruxcmS3gXcAHzY9oNAF3BtQ56lJW09kmYCMwEmTtyVeQtXDnkF95k2YcjPORK041pF1LXgtvs6XYWIIdPf7/Nee45rU00iBm8kDWb5MvBcYD9gBfD5kt7sxoCmHf+2Z9uebnv69jvs2JZKRkRERIwVIyZQtH2v7TW21wJf5Znu5aXApIasuwLLh7t+EREREWPNiAkUJU1s2DwamF9ezwVmSNpc0hRgKnDdcNcvIiIiYqzp1PQ4FwIHAuMkLQVOBw6UtB9Vt/IS4AQA2wskzQEWAquBk2yv6UC1IyIiIsaUjgSKto9tkvz1XvLPAma1r0YRERER0dOI6XqOiIiIiJElgWJERERENJVAMSIiIiKaSqAYEREREU0lUIyIiIgYRpImSfqFpFslLZD0gSZ5JOlLkhZJmifphQ37DpV0e9l3ajvrmkAxIiIiYnitplqq+M+AlwInSZrWI89hVHNHT6VanvjLAJI2Bs4q+6cBxzY5dsgkUIyIiIgYRrZX2L6pvH4EuBXo6pHtKOAbrlwLbFcWJ9kfWGT7Ttt/Ai4qedsigWJEREREh0iaDPw58Oseu7qAuxu2l5a0Vult0ZEJtyMiIiJGuXGSbmjYnm17dmMGSdsA3wM+aPvhHseryTndS3pbJFCMiIiIaGVzWDtlAB2wS9bcZ3t6q92SNqUKEr9l+/tNsiwFJjVs7wosBzZrkd4Ww9713Gqkj6QdJF0u6Y7yvH3DMaeVkT23SzpkuOscERERMVQkiWrp4lttf6FFtrnAu8ro55cCD9leAVwPTJU0RdJmwIySty060aLYPdLnJknbAjdKuhz4K+AK258uQ71PBU4pI3lmAHsBuwA/k7SH7TUdqHtERETEYB0AvBP4raSbS9o/ALsB2D4HuAQ4HFgEPA68u+xbLelk4FJgY+Bc2wvaVdFhDxRLNLyivH5EUvdIn6OAA0u284ErgVNK+kW2nwQWS1pENeLnmuGteURERMTg2f4lze81bMxj4KQW+y6hCiTbrqOjnnuM9NmpBJHdweSEkm1YR/dERERERKVjg1l6jvSpuuubZ22S1nR0j6SZVJNSMnHirkNRzfXMW7iyLecNWHDbfZ2uQtvttee4ITnPWLhWEUNlyd33DPjYyZN2HsKaNDcW/56H6rcw2q8jLYotRvrcWyaSpDx3R2StRv2sx/Zs29NtT99+hx3bU/mIiIiIMaITo55bjfSZCxxXXh8H/LAhfYakzSVNoVrK5rrhqm9ERETEWNWJrudWI30+DcyRdDxwF/AWANsLJM0BFlKNmD4pI54jIiIi2q/XQFHSy4B3AK8EJgJPAPOBHwPftP1QfwvsY6TPwS2OmQXM6m9ZERERETFwLbueJf0E+GuqeXoOpQoUpwEfA7YAfijpDcNRyYiIiIgYfr21KL7Tds+hWI8CN5XH5yVl2FJERETEKNWyRbE7SJS0taSNyus9JL2hjFqmSSAZEREREaNEnVHPVwNbSOoCrqBaQua8dlYqIiIiIjqvTqAo248DbwL+w/bRVPcqRkRERMQoVitQLKOf30412hk6uKJLRERERAyPOoHiB4DTgIvLnIa7A79ob7UiIiIiotP6mkdxY+BI209Pg2P7TuD97a5YRERERHRWry2KZQWUFw1TXSIiIiJiBKlzr+FvJM0FvgM81p1o+/ttq1VERETESLCZWDulzp16PfxidKw2XOed7wDcD7wGOLI8jhhogZImSfqFpFslLZD0gZL+CUnLJN1cHoc3HHOapEWSbpd0yEDLjoiIiIj6+mxRtP3uIS5zNfBh2zdJ2ha4UdLlZd+/2f5cY2ZJ04AZwF7ALsDPJO1RusUjIiIiok36DBQlbQEcTxWobdGdbvs9AynQ9gpgRXn9iKRbga5eDjkKuMj2k8BiSYuA/YFrBlJ+RERERNRTp+v5v4CdgUOAq4BdgUeGonBJk4E/B35dkk6WNE/SuZK2L2ldwN0Nhy2l98AyIiIiIoZAncEsz7P9FklH2T5f0gXApYMtWNI2wPeAD9p+WNKXgTMAl+fPA+8B1ORwtzjnTGAmwLhxE1lwW5aijpFlLH0nl9x9T6erEDFoG9L3ePKknTtdhdrG0m/hhq5Oi+JT5fkPkvYGng1MHkyhkjalChK/1T162va9ttfYXgt8lap7GaoWxEkNh+8KLG92XtuzbU+3PX3bZ+8wmCpGREREjHl1AsXZpRv4H4G5wELgMwMtUJKArwO32v5CQ/rEhmxHA/PL67nADEmbS5oCTAWuG2j5EREREVFPnVHPXysvrwJ2H4IyDwDeCfxW0s0l7R+AYyXtR9WtvAQ4oZS/QNIcqgB1NXBSRjxHREREtF+dUc87Ap+gCvAM/A9whu37B1Kg7V/S/L7DS3o5ZhYwayDlRURERMTA1Ol6vghYCfwl8GbgPuDb7axURERERHRenVHPO9g+o2H7nyS9sU31iYiIiIgRok6L4i8kzZC0UXkcA/y43RWLiIiIiM5q2aIo6RGqexIFfIhq4m2AjYFHgdPbXruIiIiIUUjSucARwErbezfZ/xHg7WVzE+DPgPG2H5C0hGrxkzXAatvT21XPloGi7W3bVWhERETEGHcecCbwjWY7bX8W+CyApCOBv7P9QEOWg2y3feby3loU97R9m6QXNttv+6b2VSsiIiJi9LJ9dVnKuI5jgQvbWJ2WehvM8mHgvVRL6fVk4DVtqVFERETEhm+cpBsatmfbnt3fk0jaCjgUOLkh2cBlkgx8ZSDnrau3ruf3lueD2lV4RERExCh13xDdO3gk8Kse3c4H2F4uaQJwuaTbbF89BGWtp7eu5zf1dmD3Gs0RERERo5U3B09utk7IsJlBj25n28vL80pJFwP7A8MbKFJFsK0YSKAYERER0SaSng28GnhHQ9rWwEa2HymvXw98ql116K3r+d3tKjQiIiJiLJN0IXAg1b2MS6mmHdwUwPY5JdvRwGW2H2s4dCfgYklQxXEX2P5pu+rZW9fzh3o70PYXBlKgpC2omkc3L+V/1/bpknagWhpwMrAEOMb2g+WY04DjqeYLer/tSwdSdkRERMRIYPvYGnnOo5pGpzHtTmDf9tRqfb2tzLJtH4+BehJ4je19gf2AQyW9FDgVuML2VOCKso2kaVT983tRjfo5W9LGgyg/IiIiImrorev5k+0o0LapVnaBqol1U6p7Ho+iaoIFOB+4EjilpF9k+0lgsaRFVDdtXtOO+kVEREREpbeu57+3/a+S/oMqkFuH7fcPtNDSIngj8DzgLNu/lrST7RXl3CvKkG+ALuDahsOXlrSIiIiIaKPeRj3fWp5v6CXPgNheA+wnaTuqGzLXW+OwQbMx6esFrgCSZgIzAcaNmzjYasYGasnd93S0/MmTdu5o+dD5axARw2+k/92PhN/G6L/eup7/uzyf367Cbf9B0pVU9x7eK2liaU2cCKws2ZYCkxoO2xVY3uJ8s4HZALs/b++mwWRERERE1NPbYBYAJE2XdLGkmyTN634MtEBJ40tLIpK2BF4L3AbMBY4r2Y4DflhezwVmSNpc0hRgKnDdQMuPiIiIiHp663ru9i3gI8BvgbVDUOZE4Pxyn+JGwBzbP5J0DTBH0vHAXcBbAGwvkDQHWAisBk4qXdcRERER0UZ1AsVVtucOVYG25wF/3iT9fuDgFsfMAmYNVR0iIiIiom91AsXTJX2Nam7DJ7sTs9ZzRERExOhWJ1B8N7An1XyH3V3PWes5IiIiYpSrEyjua/sFba9JRERERIwofY56Bq4ty+hFRERExBhSp0XxFcBxkhZT3aMoqpX49mlrzSIiIiKio+oEioe2vRYRERERMeL0ttbzNrYftf37vvK0p2oRERERHbY5rJ1S50690am3d/5DSZ+X9CpJW3cnStpd0vGSLiWtjRERERGjVm9rPR8s6XDgBOAASdtTrYxyO/Bj4DjbI3sF8oiIiIgYsF7vUbR9CXDJMNUlIiIiIkaQjnW6S9pY0m8k/ahs7yDpckl3lOftG/KeJmmRpNslHdKpOkdERESMJZ28O/MDwK0N26cCV9ieSrVc4KkAZQ7HGcBeVPdEni1p42Gua0RERMSY05FAUdKuwF8AX2tIPgo4v7w+H3hjQ/pFtp+0vRhYBOw/TFWNiIiIGLN6mx5nh94OtP3AIMr9d+DvgW0b0nayvaKce4WkCSW9C7i2Id/SkhYRERERbdTbYJYbAVOtxNKTgd0HUqCkI4CVtm+UdGCdQ1qU3+zcM4GZAOPGTRxI9WIYLbl7dA6aH63vKyJiMAby2zh50s5tqEn0R2/T40xpU5kHAG8oU+9sATxL0jeBeyVNLK2JE4GVJf9SYFLD8bsCy1vUeTYwG2D35+3dNJiMiIiIiHr6vEdRlXdI+seyvZukAd8jaPs027vankw1SOXntt8BzAWOK9mOA35YXs8FZkjaXNIUYCpw3UDLj4iIiIh66gxmORt4GfC2sv0IcFYb6vJp4HWS7gBeV7axvQCYAywEfgqcZHtNG8qPiIiIiAa9TrhdvMT2CyX9BsD2g5I2G4rCbV8JXFle3w8c3CLfLGDWUJQZERERMdaU5Zj/2N/Gtjotik+VeQtdChoPrO1/FSMiIiICQNK5klZKmt9i/4GSHpJ0c3l8vGHfoWURkkWSTm1x/EaS3ibpx5JWArcBKyQtkPRZSVPr1LNOoPgl4GJggqRZwC+Bf65z8oiIiIho6jyqhUR68z+29yuPT0G1sh3VLYCHAdOAY8viJD39AngucBqws+1JticAr6SadvDTkt7RVyX77Hq2/S1JN1J1Cwt4o+1b+zgsIiIiIlqwfbWkyQM4dH9gke07ASRdRLU4ycIe+V5r+6km5T4AfA/4nqRN+yqszqjnLwI72D7L9pkJEiMiIiKGxcsk3SLpJ5L2KmldwN0NeZouRNIsSOwmaZu+8nSr0/V8E/Cx0g/+WUnTaxwTERERMZaNk3RDw2NmP4+/CXiO7X2B/wB+UNJrL0TSi56tjy3V6Xo+Hzi/LOn3l8BnJO1mu9ZNkBEREREbrM3E2il12tXWc5/tATeu2X644fUlks6WNI6aC5FI+lCLUwvYpm49+vPOnwfsCUymGjkTEREREW0gaWdJKq/3p4rZ7geuB6ZKmlKmK5xBtThJT/8MbA9s2+OxDf2I//psUZT0GeBNwO+AbwNn2P5D3QIiIiIiYl2SLgQOpOqiXgqcDmwKYPsc4M3A30haDTwBzLBtYLWkk4FLgY2Bc8viJD3dBPzA9o1Nyv7ruvWsM+H2YuBltu+re9KIiIiIaM32sX3sPxM4s8W+S4BL+iji3VQtkM3U7hKv0/Q4Gzi0e6LHwa71HBERERHtZfv2no18knYu++6te546geJZVGs9d0e+7VrrOSIiIiLap69WyPXUCRRfYvsk4I9QrfUMDGqtZ0lLJP22LElzQ0nbQdLlku4oz9s35D+tTM9zu6RDBlN2RERExBjVbGqdXnVyreeDypI03f3kpwJXlGl3rijblGVpZgB7US11c3apT0RERETU99X+HjCS1no+Cji/vD4feGND+kW2n7S9GFhEtXxNRERERLQg6W3leQaA7bP7e45OrfVs4DJJBr5iezawk+0VpcwVkiaUvF1Ui1d3a7pUDUCZ9XwmwLhxEwdZxRgKS+6+p9NViDGsa8K8Tleh35at3IeuCfNYtnKfTldlTKj7HcnnERuoLknHUE3KPSAtWxTLPYM7lBVZVgIXAhcA95a0wTjA9guBw4CTJL2ql7y1l6qxPdv2dNvTt332YKsYERERsWGSdDqwA1XstkP37DX91VuL4o1UAVl3oNYdnKm83n0gBQLYXl6eV0q6mKor+V5JE0tr4kSq4BRqLlUTERERERXbn5T0EeAdwK62PzeQ87RsUbQ9xfbu5bn7dff2gINESVtL2rb7NfB6YD7V8jPHlWzHAT8sr+cCMyRtLmkKMBW4bqDlR0RERIwRy2xfBCwb6AnqrMwy1HYCLi7LF24CXGD7p5KuB+ZIOh64C3gLgO0FkuYAC4HVwEm213Sg3hEREREboqa37NUx7IGi7TuBfZuk3081YKbZMbOAWW2uWkRERMRo0r7BLBERERGxYRqqwSy1AkVJr5D07vJ6fLlXMCIiIiJGINufBB6gGszygO1PDeQ8fQaKJSI9BTitJG0KfHMghUVERETEsFk+HINZjgb+HLgJqqltukctR0RERMTIVBZN2QG4tMcc2I/YfqrOOeoEin+y7bKKSveUNhERERGjnjcHT2m29scG4yaq+agfpJoLeztghaSVwHtt39jbwXXuUZwj6SvAdpLeC/yMASwqHRERERHD7qfA4bbH2d6RalW8OcDfAn2u/dxroKhqssNvA98Fvgc8H/i47f8YbK0jIiIiou2m2760e8P2ZcCrbF8LbN7Xwb12PZcu5x/YfhFw+aCrGhERERHD6QFJpwAXle23An+QtDGwtq+D63Q9XyvpxYOoYERERER0xtuoJtz+QXlMAo4FNgaO6evgOoNZDgJOkPR74DGqGyFte5+B1TciIiIihsk2tt/XmCDpxbavBxb1dXCdFsXDgOcCrwGOBI4ozwMmaTtJ35V0m6RbJb1M0g6SLpd0R3neviH/aZIWSbpd0iGDKTsiIiJiDPm+pK7uDUmvAs6te3CdQNEtHoPxReCntvekWvf5VuBU4ArbU4EryjaSpgEzgL2AQ4GzS796RERERPTuBOAHknaWdDjwJeDwugfX6Xr+MVVgKGALYApwO1Xg1m+SngW8CvgrANt/Av4k6SjgwJLtfOBKqhVhjgIusv0ksFjSImB/4JqBlB8RERExVti+XtL7gcuAPwKvs72q7vF9Boq2X9C4LemFVNHpQO0OrAL+U9K+wI3AB4CdbK8oZa6QNKHk7wKubTh+aUmLiIiIiCYk/Tfr9gBvBTwEfF0Stt9Q5zx1WhTXYfumQY6C3gR4IfA+27+W9EVKN3MLzaZDb9r1LWkmMBNg3LiJg6hiNLPk7ns6XYVB65owb1DHL1uZMVxDbbCfyWjTfT1G0nUZiu/9SHo/A9GO+uf3JNrsc0Nxkj4DRUkfatjcCHgRVYvgQC0Fltr+ddn+LlWgeK+kiaU1cSKwsiH/pIbjdwWWNzux7dnAbIDdn7f3YO+jjIiIiNgg2b5qKM5TZzDLtg2PzYEfUd03OCC27wHulvT8knQwsBCYCxxX0o4DflhezwVmSNpc0hRgKnDdQMuPiIiIiHrq3KP4ye7Xkjaimo/nj4Ms933AtyRtBtwJvJsqaJ0j6XjgLuAtpfwFkuZQBZOrgZNsrxlk+REREREdI+lcqikHV9reu8n+t1MN6gV4FPgb27eUfUuAR4A1wGrb09tVzzpdzxcAJ5bK3Ag8W9IXbH92oIXavhlo9qYObpF/FjBroOVFREREjDDnAWcC32ixfzHwatsPSjqM6ta6lzTsP8j2fe2tYr3BLNNsP1wi20uootsbgQEHihERERFjme2rJU3uZf//NmxeSzVGo98k/Zb1BwE/BNwA/JPt+3s7vk6guKmkTYE3AmfafkpSBopEREREDI/jgZ80bBu4rMRjXymDeVv5CVWv8AVle0Z5fpiqVbPX1fbqBIpfAZYAtwBXS3pOOXlERERENDdO0g0N27P7COiaknQQVaD4iobkA2wvL3NOXy7pNttXtzjFAbYPaNj+raRf2T5A0jv6Kr/OYJYvUS330u33pdIRERERo9pTq7dk2aqBzHl5zX2DHWQiaR/ga8BhjV3EtpeX55WSLqZasa5VoLiNpJd0T0soaX9gm7JvdV916HN6HEkfkPQsVb4u6SbgNX0dFxEREREDI2k34PvAO23/X0P61pK27X4NvB6Y38up/hr4mqTFkhZTBZ7vLcf+S1/1qNP1/B7bX5R0CDCeaiqb/6RaMzAiIiIi+knShcCBVF3US4HTgU0BbJ8DfBzYEThbEjwzDc5OwMUlbRPgAts/7aWoebZfIOnZgGz/QdIOth8D5vRVzzqBYvcSeocD/2n7FpXaRURERET/2T62j/1/TdUa2DP9TmDffhT1fUlH2X4IQNLOwI+pVtrrU52VWW6UdBlVoHhpae5c248KRkRERERn/AD4rqSNy3Q8lwGn1T24Tovi8cB+wJ22H5e0I1X3c0RERESMYLa/WlbC+wEwGTihxxyNvaoTKBqYRrXMzKeArYEt+l3TiIiIiBgWkj7UuAlMAm4GXirppba/UOc8dQLFs6m6ml9DFSg+AnwPeHF/KhwRERERw2bbHtsXt0jvVZ1A8SW2XyjpNwBlzcHN+lNII0nPB77dkLQ71cieb5T0yVQTfB9j+8FyzGlUXeBrgPfbvnSg5UdERESMdrY/ORTnqTOY5SlJG1PWCZQ0nkEMZrF9u+39bO9HNeLmcaoo91TgCttTgSvKNpKmUS03sxdwKNUw8Y0HWn5ERETEaCdptqS9W+zbWtJ7JL29r/PUaVH8ElUgN0HSLODNwMf6VdvWDgZ+Z/v3ko6imk8I4HzgSuAU4CjgIttPAoslLaKagfyaIapDRERExGhzNvBxSS+gmpB7FdUYk6nAs4BzgW/1dZJeA0VJGwGLgb+nCuoEvNH2rYOq+jNmABeW1zvZXgFge0VZvxCgC7i24ZilJa1ZfWcCMwHGjZs4RFUc/Zbcfc+wldU1Yd6wldUOdeq/bOVAlnoaXYbjc+4av7DtZYxky1ZNW2e7a/zC9dKGSrs+z3bWub/1aLTL+GcWuVi+qmmDzICs95kN0XUdzb85ff37NHnSzsNUkw2P7ZuBYyRtA0wHJgJPALfavr3ueXoNFG2vlfR52y8DbhtEfddT7nN8A33P5dNscm83y1gW254NsPvz9m6aJyIiImKssP0oVS/tgNS5R/EySX/ZhtVYDgNusn1v2b5X0kSA8ryypC+lGtLdbVdg+RDXJSIiIiJ6qBMofgj4DvAnSY+Ux8NDUPaxPNPtDDAXOK68Pg74YUP6DEmbS5pC1bd+3RCUHxERERG96HMwi+1+zbdTh6StgNcBJzQkfxqYI+l44C7gLaX8BZLmAAuB1cBJttcMdZ0iIiIiRqNyn6JtP9bfY+uMekbSm4BXUN0b+D+2f9DfghrZfhzYsUfa/VQDZprlnwXMGkyZEREREWOJpL+lmm5w62pTjwCfsX123XP02fUs6WzgROC3VMOrT5R01sCqHBERERHtJuljVMsvH2h7R9s7AAcBh5V9tdRpUXw1sLft7gm3z6cKGiMiIiJGtaee2nKA0yR1fLrndwL72v5jd4LtOyUdA9wC/FOdk9QZzHI7sFvD9iRgw54MLyIiImKUawwSG9KeoB8r7NUJFHcEbpV0paQrqQaVjJc0V9LcugVFRERExLBZKmm9sR+SXgOsqHuSOl3PH+9PrSIiIiKi494P/FDSL4EbqQYkvxg4gGp55FrqTI9z1UBrGBERERHDr0wvuDfwNmAvqpXurgZOaNYl3Uqt6XEiIiIiYsMh6XnATrbP7ZH+SknLbf+uznnq3KMYERERERuWfwceaZL+RNlXS515FLeWtFHD9kZlZZWIiIiIGJkm215vlhrbNwCT656kToviFUBjYLgV8LO6BURERETEsNuil31b1j1JnUBxC9uPdm+U14NqUZT0d5IWSJov6UJJW0jaQdLlku4oz9s35D9N0iJJt0s6ZDBlR0RERIwB10t6b89EScdTjYKupc5glsckvdD2TaWAF1H1bw+IpC6qIdvTbD8haQ4wA5gGXGH705JOpVqb8BRJ08r+vYBdgJ9J2sP2moHWISIiImKU+yBwsaS380xgOB3YDDi67knqBIofBL4jaXnZngi8tXY1W5e7paSnqFonlwOnAQeW/ecDVwKnUM31c5HtJ4HFkhYB+zMC1saJiIiIGIls3wu8XNJBQPcahD+2/fP+nKfOPIrXS9oTeD7VHDy32X6qvxVuON8ySZ8D7qJqmbzM9mWSdrK9ouRZIWlCOaQLuLbhFEtLWkRERET0wvYvgF8M9PiWgaKk19j+uaQ39dg1VRK2vz+QAsu9h0cBU4A/ULVWvqO3Q5qkucW5ZwIzAbbbfgJL7r7n6X2TJ+08kOpukBrf91DqmtB8ie+u8QsBWLZq2tCX2cZz91VmX1rVqdV1anqOlfvUzrsh6fm++nNNapexalrtz2owdhk/v+1lACxftfc62wMpdyivx2D/5urWZajq3N/69iy3+3p3ja++q1pc/TOz65a34CnN/hmqU6d1/w6afaY9P/e+z7n++xzM39eG/hvUrn/v4hm9DWZ5dXk+ssnjiEGU+Vpgse1VpWXy+8DLgXslTQQozytL/qXApIbjd6Xqql6P7dm2p9uevvU22w2iihERERHtI+lcSSslNf1foSpfKoN550l6YcO+Q8sA30VlXEfbtGxRtH16mT/xJ7bnDGGZdwEvLXMxPgEcDNwAPAYcB3y6PP+w5J8LXCDpC1SDWaYC1w1hfSIiIiKG23nAmcA3Wuw/jCrmmQq8BPgy8BJJGwNnAa+jaky7XtJc223pYun1HkXbayWdDAxZoGj715K+C9wErAZ+A8wGtgHmlGHbdwFvKfkXlJHRC0v+kzLiOSIiIjZktq+WNLmXLEcB37Bt4FpJ25Ue18nAItt3Aki6qOQd/kCxuFzS/wO+TdXqB4DtBwZaqO3TgdN7JD9J1brYLP8sYNZAy4uIiIjYwHQBdzdsdw/mbZb+knZVok6g+J7yfFJDmoHdh746ERERESPHn1ZvMdDBXeMk3dCwPdv27H4c32owb+1BvkOhzvQ4U9pVeERERMQodZ/t6YM4vtVg3s1apLdFn0v4SdpK0sckzS7bUyUNZtRzRERERPRuLvCuMvr5pcBDZb7p66mmKpwiaTOq1evmtqsSdbqe/5Nq6ZeXl+2lwHeAH7WrUhERERGjmaQLqVakGydpKdXYjU0BbJ8DXAIcDiwCHgfeXfatLgONLwU2Bs61vaBd9awTKD7X9lslHVsq+ISkgc0+GhERERHYPraP/Wbd8SGN+y6hCiTbrs+uZ+BPkrak3Cgp6blUI5QjIiIiYhSr06J4OvBTYJKkbwEHAH/VzkpFREREROfVGfV8uaSbgJdSDcn+gO372l6ziIiIiOioOi2KAFsAD5b80yRh++r2VSsiIiIiOq3PQFHSZ4C3AguAtSXZQALFiIiIiFGsToviG4Hn2x6yASyS/g74a6qA87dUQ75PBd4LrCrZ/qGM6kHSacDxwBrg/bYvHaq6RERERERzdQLFO6nm9RmSQFFSF/B+YFqZamcO1WSRAP9m+3M98k8r+/cCdgF+JmkP22uGoj4RERER0VzLQFHSf1C1+D0O3CzpChqCRdvvH2S5W0p6CtiKaumZyS3yHgVcVFo0F0taBOwPXDOI8iMiIiKiD721KHYvZH0jQ7g0jO1lkj4H3AU8AVxm+zJJLwdOlvSuUvaHbT8IdAHXNpxiaUmLiIiIiDZqGSjaPr/7dVlLcE+qFsbbbf9poAVK2p6qlXAK8AfgO5LeAXwZOKOUcQbweeA9VFPyrFe9FueeCcwE2G77CevsW3L3PU+/njxp54FWf53zjDZdE+ats71s5T7rpHWNX8iyVdPoGr9wnXy7jJ/fr3KWrZr29Plq163k7T62HfpTn575B1qvZtd8NOr5XRpp+vsdbncdusZX12rZqn2eft1o2arm35Ndxs9n+aq9h6Q+g/2ba/Zb0U49/x67f6967mum+9p3X2stNhstXvtMhsWwdkqd9Sl61GlK6+9892fY+LnX+exavZeh+A0arb8/MTh9fvMlHQ78DvgScCawSNJhgyjztcBi26tsPwV8H3i57Xttr7G9FvgqVfcyVC2IkxqO35Wqq3o9tmfbnm57+tbbbDeIKkZEREREnf8ifQE4yPaBtl8NHAT82yDKvAt4qaStyprRBwO3SprYkOdooPu/WXOBGZI2lzQFmApcN4jyIyIiIqKGOqOeV9pe1LB9J7ByoAXa/rWk7wI3AauB3wCzga9J2o+qW3kJcELJv6CMjF5Y8p+UEc8RERER7VcnUFwg6RJgDlUQ9xbgeklvArD9/f4Wavt0qjWkG72zl/yzgFn9LSciIiIiBq5OoLgFcC/w6rK9CtgBOJIqcOx3oBgRERGxIXhq9VZjeqBPn4Gi7XcPR0UiIiIiYmSpM+r5XyU9S9Kmkq6QdF+ZziYiIiIiRrE6o55fb/th4AiqqWr2AD7S1lpFRERERMfVCRQ3Lc+HAxfafqCN9YmIiIiIEaLOYJb/lnQb1XJ7fytpPPDH9lYrIiIiIjqtzxZF26cCLwOml5VUHqNagi8iIiIiRrE+WxQlbUo1x+GrqoVUuAo4p831ioiIiIgOq9P1/GWq+xTPLtvvLGl/3a5KRURERETn1QkUX2x734btn0u6pV0VioiIiIiRoc6o5zWSntu9IWl3IGstR0RERIxydQLFjwC/kHSlpKuAnwMfHkyhkj4gab6kBZI+WNJ2kHS5pDvK8/YN+U+TtEjS7ZIOGUzZEREREVFPnSX8rpA0FXg+IOA2208OtEBJewPvBfYH/gT8VNKPS9oVtj8t6VTgVOAUSdOAGcBewC7AzyTtYTutmhERERFtVGfU88bAIcDkkv9gSdj+wgDL/DPgWtuPl/NfBRxNNeXOgSXP+cCVwCkl/aISnC6WtIgqyLxmgOVHRERERA11up7/G/grYEdg24bHQM2nmmpnR0lbUa34MgnYyfYKgPI8oeTvAu5uOH5pSYuIiIjYIEk6tNxSt6j0pPbc/xFJN5fHfElrJO1Q9i2R9Nuy74Z21rPOqOddbe8zVAXavlXSZ4DLgUeBW4DVvRyiZqdpmlGaCcwE2G77Cc2yALDk7nuYPGnnWvVdcvc9tfJtqLomzKNr/EJ2GT+f5av2Xnff+IVPv95l/Px1nrvz7jJ+Pl3j5z2dr+c5mpbZcN5+13f8QpatmlbrfD3zDbZOza5Rz+P7U2bT80yYx7KVQ/bn1nFdE+b1nWkg5x3Ed6hb93d5sBq//0NFi6ufuK4p89bZBvAU9Vpm4/e01Xe2t+9yJzT7LJav2nu935u6ur8fdf+uq7zznr7OGy1ey0aL16IlxpP1dFozWlId48l6+jXAmoM2hsXV67VT1m+T6f5sAZat2medurTS23Xo+V4H8lvU/fc6mn6DRqrSW3sW8DqqBrDrJc21/fQHafuzwGdL/iOBv+uxjPJBtu9rd13rtCj+RNLrh7JQ21+3/ULbrwIeAO4A7pU0EaA8ryzZl1K1OHbbFVje4ryzbU+3PX3rbbYbyipHREREDJX9gUW277T9J+Aiel/17ljgwmGpWQ91AsVrgYslPSHpYUmPSHp4MIVKmlCedwPeRPXm5wLHlSzHAT8sr+cCMyRtLmkKMBW4bjDlR0RERHRQ7dvqym16hwLfa0g2cJmkG0tvatvU6Xr+PNVaz7+13bTLdwC+J2lH4CngJNsPSvo0MEfS8cBdwFsAbC+QNAdYSNVFfVJGPEdERMRw2GyzTWvfrtbDuB73D862Pbu8rn1bHXAk8Kse3c4H2F5eGt4ul3Sb7asHUsm+1AkU7wDmD2GQiO1XNkm7Hzi4Rf5ZwKyhKj8iIiKize6zPb3Fvtq31VFNEbhOt7Pt5eV5paSLqbqyOxYorgCulPQT4On5EwcxPU5ERETEWHY9MLXcUreMKhh8W89Mkp4NvBp4R0Pa1sBGth8pr18PfKpdFa0TKC4uj83KA1o3j0ZEREREL2yvlnQycCmwMXBuudXuxLL/nJL1aOAy2481HL4T1dgRqOK4C2z/tF11rRMoLrT9ncYESW9pU30iIiIiRj3blwCX9Eg7p8f2ecB5PdLuBPZtc/WeVmfU82k10yIiIiJiFGnZoijpMKpVU7okfalh17PofYLsiIiIiBgFeut6Xg7cALwBuLEh/RHgg22sU0RERESMAC0DRdu3ALdIusD2U93pkl5BNVXNScNQv4iIiIjokD4Hs9h+StJ+VMO2j6EaAf39NtcrIiIiIjqst3sU96Ca1+dY4H7g24BsHzRMdYuIiIiIDuqtRfE24H+AI20vApD0d8NSq4iIiIjouN6mx/lL4B7gF5K+Kulgmq9N2G+SPiBpvqQFkj5Y0j4r6TZJ8yRdLGm7kj5Z0hOSbi6Pc3o7d0REREQMjZaBou2Lbb8V2BO4Evg7YCdJX5b0+oEWKGlv4L1U6xLuCxwhaSpwObC37X2A/2PduRp/Z3u/8jhxoGVHRERERH19Trht+zHb37J9BNWi1TcDpw6izD8DrrX9uO3VwFXA0bYvK9sA15ayIiIiIqJD6qzM8jTbD9j+iu3XDKLM+cCrJO0oaSuqSb0n9cjzHuAnDdtTJP1G0lWSXjmIsiMiIiKipjprPQ8p27dK+gxVV/OjwC00rPQi6aNl+1slaQWwm+37Jb0I+IGkvWw/3PPckmYCMwG2235CyzpMnrRzrbouufueWvlGi13Gz2f5qr1b7u8aP49lq/Z5Om83LTaeMiS3r9bSNX4hy1ZNo2v8wj7z9VTnuN70dY2GQteEeSxbuU9by2iXrgnz2nfuQXxujRq/u4PRNX5o32uzvyMt9oDO1fgee35nu/fV+S4vWzVtQOVD759Xnc+g53toZqj+Fhs/y40Wr2WjxWuf3taSdT+Dxn0bLV7L2ilVe8taNlpnnyc3/03szt/4eTf+tvamP78/jde/v59j929Qs7/nnr9NG/LvVdTTrxbFoWL767ZfaPtVwAPAHQCSjgOOAN5u2yXvk7bvL69vBH4H7NHivLNtT7c9fettthuGdxIRERExeg17iyKApAm2V0raDXgT8DJJhwKnAK+2/XhD3vHAA7bXSNodmArc2Yl6R0RExNiy5RabsNee4zpdjY7pSKAIfE/SjsBTwEm2H5R0JrA5cLkkqAa8nAi8CviUpNXAGuBE2w90qN4RERERY0ZHAkXb6w1Isf28Fnm/B3yv7ZWKiIiIiHV05B7FiIiIiBj5EihGRERERFMJFCMiIiKiqQSKEREREdFUAsWIiIiIaCqBYkREREQ0lUAxIiIiIppKoBgRERERTSVQjIiIiIimEihGRERERFMJFCMiIiKiqY4EipI+IGm+pAWSPljSPiFpmaSby+PwhvynSVok6XZJh3SizhERERFjzbAHipL2Bt4L7A/sCxwhaWrZ/W+29yuPS0r+acAMYC/gUOBsSRsPd70jIiIihoqkQ0sD2CJJpzbZf6Ckhxoa0D5e99ihtEk7T97CnwHX2n4cQNJVwNG95D8KuMj2k8BiSYuogsxr2l7TiIiIiCFWGrzOAl4HLAWulzTX9sIeWf/H9hEDPHZIdCJQnA/MkrQj8ARwOHADcD9wsqR3le0P234Q6AKubTh+aUlbj6SZwEyA7bafsN7+yZN2Hrp3MQbsMn7+OttabLqmzANg2ap9AOgaPw8eXf+Y5av2HvI6NJ6za/zA/h4GelzPa9Hb+ZetmjagMjZEXRPmDU85A/zcGjX7DLvGD0/9W9Fi97rd6hhP0dN17/5b7E3d7287tapDs8+gznvqec6B/OY0Hq/FZqPFa5/ZXvLM9kaL17J2ykZstHgtGy1Z9zPaaMka1k7WOsd2Wzul6rTbeMkaPFnr7y+deo2fZzON12Mg73kgv0ut/raH629+DNgfWGT7TgBJF1E1jNX5sRvMsf027F3Ptm8FPgNcDvwUuAVYDXwZeC6wH7AC+Hw5ZP2/Lmj6a2p7tu3ptqdvvc12Q1vxiIiIiPrGSbqh4TGzYV8XcHfDdqtGsJdJukXSTyTt1c9jh0QnWhSx/XXg6wCS/hlYavve7v2Svgr8qGwuBSY1HL4rsHyYqhoRERFj2JZbbMI+09bvpazhPtvTW+yr0wh2E/Ac24+WAb4/AKbWPHbIdGrU84TyvBvwJuBCSRMbshxN1UUNMBeYIWlzSVOoLtJ1w1nfiIiIiCHUZyOY7YdtP1peXwJsKmlcnWOHUkdaFIHvlXsUnwJOsv2gpP+StB9VVLwEOAHA9gJJc6j63leX/Gs6U+2IiIiIQbsemFoawJZRze7ytsYMknYG7rVtSftTNe7dD/yhr2OHUqe6nl/ZJO2dveSfBcxqa6UiIiIihoHt1ZJOBi4FNgbOLQ1jJ5b95wBvBv5G0mqqwb8zbBtoemy76tqpFsWIiIiIMat0J1/SI+2chtdnAmfWPbZdsoRfRERERDSVQDEiIiIimkqgGBERERFNJVCMiIiIiKYSKEZEREREUwkUIyIiIqKpBIoRERER0VQCxYiIiIhoKoFiRERERDTVtkBR0rmSVkqa35C2g6TLJd1Rnrdv2HeapEWSbpd0SEP6iyT9tuz7kiS1q84RERER8Yx2tiieBxzaI+1U4ArbU4EryjaSplEtar1XOeZsSRuXY74MzASmlkfPc0ZEREREG7QtULR9NfBAj+SjgPPL6/OBNzakX2T7SduLgUXA/pImAs+yfU1ZCPsbDcdERERERBsN9z2KO9leAVCeJ5T0LuDuhnxLS1pXed0zPSIiIiLaTFVDXZtOLk0GfmR777L9B9vbNex/0Pb2ks4CrrH9zZL+deAS4C7gX2y/tqS/Evh720e2KG8mVTc1wPOB29vyxobWOOC+TldihMq1aS3XprVcm9ZybVrLtWltQ7k2z7E9fqhPKumnVNegv+6zvcHfLrfJMJd3r6SJtleUbuWVJX0pMKkh367A8pK+a5P0pmzPBmYPbZXbS9INtqd3uh4jUa5Na7k2reXatJZr01quTWtj/dqMhmBvMIa763kucFx5fRzww4b0GZI2lzSFatDKdaV7+hFJLy2jnd/VcExEREREtFHbWhQlXQgcCIyTtBQ4Hfg0MEfS8VTdym8BsL1A0hxgIbAaOMn2mnKqv6EaQb0l8JPyiIiIiIg2a1ugaPvYFrsObpF/FjCrSfoNwN5DWLWRZoPqKh9muTat5dq0lmvTWq5Na7k2reXajGFtHcwSERERERuuLOEXEREREU0lUBxGkt4iaYGktZKmN6RPlvSEpJvL45yGfWNiCcNW16bsy/KOhaRPSFrW8F05vGFf0+s0lkg6tLz/RZJO7XR9Ok3SkvI3crOkG0pay6VUR7OhWlZ2NGpxbfJbE0ACxeE2H3gTcHWTfb+zvV95nNiQPlaWMGx6bbK8Y1P/1vBduQT6vE5jQnm/ZwGHAdOAY8t1GesOKt+V7v+ANV1KdQw4j6FZVnY0Oo/mv5/5rYkEisPJ9q22a08CPpaWMOzl2mR5x3qaXqcO12m47Q8ssn2n7T8BF1Fdl1hXq6VUR7WhWFZ2OOrZCS2uTStj6tpEAsWRZIqk30i6qqxAA1nCELK8YzMnS5pXuou6u8paXaexJNdgfQYuk3RjWbkKWi+lOhb1d1nZsSa/NTHsK7OMepJ+BuzcZNdHbbeaLHwFsJvt+yW9CPiBpL2AZvfcbbDD1Ad4bVpdg1F1bRr1dp2outvPoHqvZwCfB97DKL4e/ZBrsL4DbC+XNAG4XNJtna7QBiLfpfzWRJFAcYh1r0vdz2OeBJ4sr2+U9DtgD/q5hOFIN5BrwxAt77ghqXudJH0V+FHZbHWdxpJcgx5sLy/PKyVdTNVF2Gop1bGov8vKjhm27+1+nd+asS1dzyOApPHdNwNL2p1qYMadWcIQyPKO6yj/mHU7mmoQELS4TsNdvw67HpgqaYqkzahuuJ/b4Tp1jKStJW3b/Rp4PdX3pdVSqmNRv5aV7UD9Oia/NdEtLYrDSNLRwH8A44EfS7rZ9iHAq4BPSVoNrAFOtN19Y/GYWMKw1bXJ8o7r+VdJ+1F19SwBToA+l8EcE2yvlnQycCmwMXCu7QUdrlYn7QRcXGaN2gS4wPZPJV1Pk6VURzsN3bKyo06La3NgfmsCsjJLRERERLSQrueIiIiIaCqBYkREREQ0lUAxIiIiIppKoBgRERERTSVQjIiIiIimEihGxLCS9Gibz3+JpO3K428HcPyBkn7Ud86IiNEvgWJEjCq2D7f9B2A7oN+BYkREPCOBYkR0nKT9JF0raZ6kiyVtX9KvlPQZSddJ+j9JryzpW0maU/J/W9KvJU0v+5ZIGkc1mfJzJd0s6bM9WwolnSnpr8rrQyXdJumXwJsa8mwt6VxJ10v6jaSjhu+qRER0XgLFiBgJvgGcYnsf4LdUK0N028T2/sAHG9L/Fniw5D8DeFGTc54K/M72frY/0qpgSVsAXwWOBF4J7Nyw+6PAz22/GDgI+GxZDi8iYkxIoBgRHSXp2cB2tq8qSedTLWvZ7fvl+UZgcnn9CuAiANvzgXmDqMKewGLbd7haquqbDfteD5wq6WbgSmALYLdBlBURsUHJWs8RMdI9WZ7X8MxvlgZwntWs+5/jLRpet1rLVMBf2r59AOVFRGzw0qIYER1l+yHgwe77D4F3Alf1cgjAL4FjACRNA17QJM8jwLYN278HpknavLRiHlzSbwOmSHpu2T624ZhLgfdJUinrz+u9q4iI0SEtihEx3LaStLRh+wvAccA5krYC7gTe3cc5zgbOlzQP+A1V1/NDjRls3y/pV5LmAz+x/RFJc0reO8px2P6jpJnAjyXdRxWE7l1Ocwbw78C8EiwuAY4Y2NuOiNjwqLolJyJiwyFpY2DTEuQ9F7gC2MP2nzpctYiIUSUtihGxIdoK+IWkTanuI/ybBIkREUMvLYoRERER0VQGs0REREREUwkUIyIiIqKpBIoRERER0VQCxYiIiIhoKoFiRERERDSVQDEiIiIimvr/DyaG5FmNatwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The y axis (pressure levels) is a non-linear scale.\n",
    "# To ensure equal spacing between the values, we create a regular scale.\n",
    "y = np.arange(clim_MMP.level.shape[0])+1\n",
    "y = y[::-1]\n",
    "\n",
    "# Define the figure and specify size\n",
    "fig = plt.figure(figsize=(10, 5))\n",
    "ax = plt.subplot(1,1,1)\n",
    "\n",
    "# Set x and y axis tickmarks, labels and figure title\n",
    "ax.yaxis.set_ticks(y)\n",
    "ax.yaxis.set_ticklabels(clim_MMP.level.values)\n",
    "ax.set_xlabel('Longitude')\n",
    "ax.set_ylabel('Atmospheric pressure level (millibars)')\n",
    "ax.set_title('CO August Climatology in Northern Hemisphere', fontsize=12)\n",
    "\n",
    "# As the presure levels (25) are much less than the longitudes (480),\n",
    "# we need to ensure the plot fits into the size of the figure.\n",
    "ax.set_aspect('auto')\n",
    "\n",
    "# Plot the figure and specify a colourbar\n",
    "im = plt.pcolormesh(clim_MMP.longitude, y, clim_MMP, cmap=camscmp)\n",
    "cbar = plt.colorbar(im,fraction=0.046, pad=0.04)\n",
    "cbar.set_label('CO (kg kg**-1)')\n",
    "\n",
    "fig.savefig(f'{DATADIR}CO_NHem_Aug_clim.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}