{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dominant-indicator",
   "metadata": {},
   "source": [
    "# Regridding model data with xESMF"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "reflected-chambers",
   "metadata": {},
   "source": [
    "## Import python packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "novel-indicator",
   "metadata": {},
   "outputs": [],
   "source": [
    "# supress warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore') # don't output warnings\n",
    "\n",
    "import os\n",
    "# import packages\n",
    "import xarray as xr\n",
    "xr.set_options(display_style='html')\n",
    "import intake\n",
    "import cftime\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.path as mpath\n",
    "import numpy as np\n",
    "import xesmf as xe\n",
    "from pathlib import Path\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f92cb741-50d7-4aab-995a-a4d583b9c5ca",
   "metadata": {},
   "source": [
    "## Set path to save data:\n",
    "Further down in this notebook, an intermediate data product is saved. It is often smart to put this in another directory than your code directory. Below we set the path where this is saved:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0bb51f46-ae06-4a30-b7f6-b0272652ff37",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/fc-3auid-3aeb54868a-2dc3bf-2d4cf2-2d9a1a-2d7ab42345078a/eScience2024/docs/learning/notebooks\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b408b2bf-06ec-4dcd-a4c1-0ce6eae38eaa",
   "metadata": {},
   "source": [
    "You can copy the home path from above, or you can make a relative path. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8fa841e0-4936-4230-ac09-8cbd7a622305",
   "metadata": {},
   "outputs": [],
   "source": [
    "path_to_save_data = '../../../../Data_processed'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "60312b33-2113-49d1-8066-53e8d2d7e21d",
   "metadata": {},
   "outputs": [],
   "source": [
    "path_to_save_data = Path(path_to_save_data)\n",
    "\n",
    "path_to_save_data.mkdir(exist_ok=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "conditional-configuration",
   "metadata": {},
   "source": [
    "## Open CMIP6 online catalog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "formed-symbol",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p><strong>pangeo-cmip6 catalog with 7674 dataset(s) from 514818 asset(s)</strong>:</p> <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>activity_id</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>institution_id</th>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>source_id</th>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>experiment_id</th>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>member_id</th>\n",
       "      <td>657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>table_id</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable_id</th>\n",
       "      <td>700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grid_label</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zstore</th>\n",
       "      <td>514818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dcpp_init_year</th>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>version</th>\n",
       "      <td>736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>derived_variable_id</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_url = \"https://storage.googleapis.com/cmip6/pangeo-cmip6.json\"\n",
    "col = intake.open_esm_datastore(cat_url)\n",
    "col"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "polyphonic-national",
   "metadata": {},
   "source": [
    "## Get data in xarray\n",
    "### Search od550aer variable dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "local-wrist",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>activity_id</th>\n",
       "      <th>institution_id</th>\n",
       "      <th>source_id</th>\n",
       "      <th>experiment_id</th>\n",
       "      <th>member_id</th>\n",
       "      <th>table_id</th>\n",
       "      <th>variable_id</th>\n",
       "      <th>grid_label</th>\n",
       "      <th>zstore</th>\n",
       "      <th>dcpp_init_year</th>\n",
       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-WACCM</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/NCAR/CESM2-WACCM/histori...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/NCAR/CESM2/historical/r1...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>CCCma</td>\n",
       "      <td>CanESM5</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/CCCma/CanESM5/historical...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>HAMMOZ-Consortium</td>\n",
       "      <td>MPI-ESM-1-2-HAM</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/HAMMOZ-Consortium/MPI-ES...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>MPI-M</td>\n",
       "      <td>MPI-ESM1-2-LR</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/MPI-M/MPI-ESM1-2-LR/hist...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>MPI-M</td>\n",
       "      <td>MPI-ESM1-2-HR</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/MPI-M/MPI-ESM1-2-HR/hist...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCC</td>\n",
       "      <td>NorESM2-LM</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/historica...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>BCC</td>\n",
       "      <td>BCC-ESM1</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/BCC/BCC-ESM1/historical/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-WACCM-FV2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/NCAR/CESM2-WACCM-FV2/his...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20191120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>NCAR</td>\n",
       "      <td>CESM2-FV2</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/NCAR/CESM2-FV2/historica...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20191120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>MRI</td>\n",
       "      <td>MRI-ESM2-0</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>AERmon</td>\n",
       "      <td>od550aer</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/MRI/MRI-ESM2-0/historica...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20200207</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   activity_id     institution_id        source_id experiment_id member_id  \\\n",
       "0         CMIP               NCAR      CESM2-WACCM    historical  r1i1p1f1   \n",
       "1         CMIP               NCAR            CESM2    historical  r1i1p1f1   \n",
       "2         CMIP              CCCma          CanESM5    historical  r1i1p1f1   \n",
       "3         CMIP  HAMMOZ-Consortium  MPI-ESM-1-2-HAM    historical  r1i1p1f1   \n",
       "4         CMIP              MPI-M    MPI-ESM1-2-LR    historical  r1i1p1f1   \n",
       "5         CMIP              MPI-M    MPI-ESM1-2-HR    historical  r1i1p1f1   \n",
       "6         CMIP                NCC       NorESM2-LM    historical  r1i1p1f1   \n",
       "7         CMIP                BCC         BCC-ESM1    historical  r1i1p1f1   \n",
       "8         CMIP               NCAR  CESM2-WACCM-FV2    historical  r1i1p1f1   \n",
       "9         CMIP               NCAR        CESM2-FV2    historical  r1i1p1f1   \n",
       "10        CMIP                MRI       MRI-ESM2-0    historical  r1i1p1f1   \n",
       "\n",
       "   table_id variable_id grid_label  \\\n",
       "0    AERmon    od550aer         gn   \n",
       "1    AERmon    od550aer         gn   \n",
       "2    AERmon    od550aer         gn   \n",
       "3    AERmon    od550aer         gn   \n",
       "4    AERmon    od550aer         gn   \n",
       "5    AERmon    od550aer         gn   \n",
       "6    AERmon    od550aer         gn   \n",
       "7    AERmon    od550aer         gn   \n",
       "8    AERmon    od550aer         gn   \n",
       "9    AERmon    od550aer         gn   \n",
       "10   AERmon    od550aer         gn   \n",
       "\n",
       "                                               zstore  dcpp_init_year  \\\n",
       "0   gs://cmip6/CMIP6/CMIP/NCAR/CESM2-WACCM/histori...             NaN   \n",
       "1   gs://cmip6/CMIP6/CMIP/NCAR/CESM2/historical/r1...             NaN   \n",
       "2   gs://cmip6/CMIP6/CMIP/CCCma/CanESM5/historical...             NaN   \n",
       "3   gs://cmip6/CMIP6/CMIP/HAMMOZ-Consortium/MPI-ES...             NaN   \n",
       "4   gs://cmip6/CMIP6/CMIP/MPI-M/MPI-ESM1-2-LR/hist...             NaN   \n",
       "5   gs://cmip6/CMIP6/CMIP/MPI-M/MPI-ESM1-2-HR/hist...             NaN   \n",
       "6   gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/historica...             NaN   \n",
       "7   gs://cmip6/CMIP6/CMIP/BCC/BCC-ESM1/historical/...             NaN   \n",
       "8   gs://cmip6/CMIP6/CMIP/NCAR/CESM2-WACCM-FV2/his...             NaN   \n",
       "9   gs://cmip6/CMIP6/CMIP/NCAR/CESM2-FV2/historica...             NaN   \n",
       "10  gs://cmip6/CMIP6/CMIP/MRI/MRI-ESM2-0/historica...             NaN   \n",
       "\n",
       "     version  \n",
       "0   20190227  \n",
       "1   20190308  \n",
       "2   20190429  \n",
       "3   20190627  \n",
       "4   20190710  \n",
       "5   20190710  \n",
       "6   20190815  \n",
       "7   20190918  \n",
       "8   20191120  \n",
       "9   20191120  \n",
       "10  20200207  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat = col.search(experiment_id=['historical'], variable_id='od550aer', member_id=['r1i1p1f1'], grid_label='gn')\n",
    "cat.df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "acoustic-anaheim",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['CESM2-WACCM', 'CESM2', 'CanESM5', 'MPI-ESM-1-2-HAM',\n",
       "       'MPI-ESM1-2-LR', 'MPI-ESM1-2-HR', 'NorESM2-LM', 'BCC-ESM1',\n",
       "       'CESM2-WACCM-FV2', 'CESM2-FV2', 'MRI-ESM2-0'], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat.df['source_id'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "introductory-blond",
   "metadata": {},
   "source": [
    "### Create dictionary from the list of datasets we found\n",
    "\n",
    "- This step may take several minutes so be patient!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "broad-carol",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
      "\t'activity_id.institution_id.source_id.experiment_id.table_id.grid_label'\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
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       "    progress {\n",
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       "        background-size: auto;\n",
       "    }\n",
       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "      <progress value='11' class='' max='11' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [11/11 00:19&lt;00:00]\n",
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       "    "
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   ],
   "source": [
    "dset_dict = cat.to_dataset_dict(zarr_kwargs={'use_cftime':True})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "incorporated-range",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['CMIP.NCC.NorESM2-LM.historical.AERmon.gn',\n",
       " 'CMIP.MRI.MRI-ESM2-0.historical.AERmon.gn',\n",
       " 'CMIP.CCCma.CanESM5.historical.AERmon.gn',\n",
       " 'CMIP.NCAR.CESM2.historical.AERmon.gn',\n",
       " 'CMIP.BCC.BCC-ESM1.historical.AERmon.gn',\n",
       " 'CMIP.HAMMOZ-Consortium.MPI-ESM-1-2-HAM.historical.AERmon.gn',\n",
       " 'CMIP.NCAR.CESM2-WACCM-FV2.historical.AERmon.gn',\n",
       " 'CMIP.NCAR.CESM2-FV2.historical.AERmon.gn',\n",
       " 'CMIP.MPI-M.MPI-ESM1-2-HR.historical.AERmon.gn',\n",
       " 'CMIP.MPI-M.MPI-ESM1-2-LR.historical.AERmon.gn',\n",
       " 'CMIP.NCAR.CESM2-WACCM.historical.AERmon.gn']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(dset_dict.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "endless-dominican",
   "metadata": {},
   "source": [
    "## Select model and visualize a single date\n",
    "- Use data as xarray to make a simple plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "olive-heaven",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "  font-weight: normal;\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 110MB\n",
       "Dimensions:         (lat: 96, bnds: 2, lon: 144, member_id: 1,\n",
       "                     dcpp_init_year: 1, time: 1980)\n",
       "Coordinates:\n",
       "  * lat             (lat) float64 768B -90.0 -88.11 -86.21 ... 86.21 88.11 90.0\n",
       "    lat_bnds        (lat, bnds) float64 2kB dask.array&lt;chunksize=(96, 2), meta=np.ndarray&gt;\n",
       "  * lon             (lon) float64 1kB 0.0 2.5 5.0 7.5 ... 352.5 355.0 357.5\n",
       "    lon_bnds        (lon, bnds) float64 2kB dask.array&lt;chunksize=(144, 2), meta=np.ndarray&gt;\n",
       "  * time            (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:...\n",
       "    time_bnds       (time, bnds) object 32kB dask.array&lt;chunksize=(1980, 2), meta=np.ndarray&gt;\n",
       "    wavelength      float64 8B ...\n",
       "  * member_id       (member_id) object 8B &#x27;r1i1p1f1&#x27;\n",
       "  * dcpp_init_year  (dcpp_init_year) float64 8B nan\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    od550aer        (member_id, dcpp_init_year, time, lat, lon) float32 109MB dask.array&lt;chunksize=(1, 1, 990, 96, 144), meta=np.ndarray&gt;\n",
       "Attributes: (12/65)\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    Hybrid-restart from year 1600-01-01 of ...\n",
       "    branch_time:                      0.0\n",
       "    branch_time_in_child:             0.0\n",
       "    branch_time_in_parent:            430335.0\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:variable_id:     od550aer\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:zstore:          gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/hi...\n",
       "    intake_esm_attrs:version:         20190815\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NCC.NorESM2-LM.historical.AERmon.gn</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-2903cce4-73aa-4b6f-bc68-838028911812' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2903cce4-73aa-4b6f-bc68-838028911812' 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'>lat</span>: 96</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span class='xr-has-index'>member_id</span>: 1</li><li><span class='xr-has-index'>dcpp_init_year</span>: 1</li><li><span class='xr-has-index'>time</span>: 1980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1c26cd2e-54cc-4556-ad9a-69fcb9aa83c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1c26cd2e-54cc-4556-ad9a-69fcb9aa83c4' class='xr-section-summary' >Coordinates: <span>(9)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-e626afa5-1587-4117-8756-64b4f0e77ca6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e626afa5-1587-4117-8756-64b4f0e77ca6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10e8af19-3f94-4cd9-bb76-8f65d961fe77' class='xr-var-data-in' type='checkbox'><label for='data-10e8af19-3f94-4cd9-bb76-8f65d961fe77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(96, 2), meta=np.ndarray&gt;</div><input id='attrs-261bbc21-8b9b-4495-97b5-3b36a14ad7ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-261bbc21-8b9b-4495-97b5-3b36a14ad7ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f844adc-a809-457d-a3bc-e1cf0842df9f' class='xr-var-data-in' type='checkbox'><label for='data-3f844adc-a809-457d-a3bc-e1cf0842df9f' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.50 kiB </td>\n",
       "                        <td> 1.50 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (96, 2) </td>\n",
       "                        <td> (96, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"79\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-47a61a14-4257-420c-8b7f-fd2922fceac7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47a61a14-4257-420c-8b7f-fd2922fceac7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71a19d8e-8ffc-4c30-8bd9-679352e1da2a' class='xr-var-data-in' type='checkbox'><label for='data-71a19d8e-8ffc-4c30-8bd9-679352e1da2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(144, 2), meta=np.ndarray&gt;</div><input id='attrs-d466a53a-1a3e-4b24-a21f-72fad9e2e516' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d466a53a-1a3e-4b24-a21f-72fad9e2e516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd13805e-51a9-44bb-82da-152c561c9195' class='xr-var-data-in' type='checkbox'><label for='data-dd13805e-51a9-44bb-82da-152c561c9195' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.25 kiB </td>\n",
       "                        <td> 2.25 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (144, 2) </td>\n",
       "                        <td> (144, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"77\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <text x=\"13.527018\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"47.054036\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,47.054036,60.000000)\">144</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></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'>object</div><div class='xr-var-preview xr-preview'>1850-01-16 12:00:00 ... 2014-12-...</div><input id='attrs-5f3713b6-c0fa-46be-8c24-b9fda63f96ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f3713b6-c0fa-46be-8c24-b9fda63f96ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13eb68b4-288a-4b35-8bb6-b787d312b204' class='xr-var-data-in' type='checkbox'><label for='data-13eb68b4-288a-4b35-8bb6-b787d312b204' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2014, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1980, 2), meta=np.ndarray&gt;</div><input id='attrs-8a4bda16-a1b3-4d6b-ab5c-9d89bcadaced' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a4bda16-a1b3-4d6b-ab5c-9d89bcadaced' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6367d16-7c64-483c-91c1-8530add5ecbd' class='xr-var-data-in' type='checkbox'><label for='data-f6367d16-7c64-483c-91c1-8530add5ecbd' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 30.94 kiB </td>\n",
       "                        <td> 30.94 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1980, 2) </td>\n",
       "                        <td> (1980, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> object numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">1980</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wavelength</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36038c3d-fbb9-4e97-b3bf-566026990ea6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36038c3d-fbb9-4e97-b3bf-566026990ea6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12b88df1-7a3a-415b-be8b-69f2eafbbd70' class='xr-var-data-in' type='checkbox'><label for='data-12b88df1-7a3a-415b-be8b-69f2eafbbd70' 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>Radiation Wavelength 550 nanometers</dd><dt><span>standard_name :</span></dt><dd>radiation_wavelength</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>member_id</span></div><div class='xr-var-dims'>(member_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;r1i1p1f1&#x27;</div><input id='attrs-2d218252-394d-47d5-9342-65b096bb89af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d218252-394d-47d5-9342-65b096bb89af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b59bc7fb-da9e-4d18-965c-fe45920de505' class='xr-var-data-in' type='checkbox'><label for='data-b59bc7fb-da9e-4d18-965c-fe45920de505' 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([&#x27;r1i1p1f1&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dcpp_init_year</span></div><div class='xr-var-dims'>(dcpp_init_year)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-2b863fbd-fed8-48cd-9575-d5f85f953c4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b863fbd-fed8-48cd-9575-d5f85f953c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e78b5364-e8a1-43bf-9b3e-8b1a94ceba49' class='xr-var-data-in' type='checkbox'><label for='data-e78b5364-e8a1-43bf-9b3e-8b1a94ceba49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c517462-3685-48e2-ae04-e40cbc99165e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c517462-3685-48e2-ae04-e40cbc99165e' 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>od550aer</span></div><div class='xr-var-dims'>(member_id, dcpp_init_year, time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 990, 96, 144), meta=np.ndarray&gt;</div><input id='attrs-85288776-bb9d-4e01-8cb2-00ac03563721' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85288776-bb9d-4e01-8cb2-00ac03563721' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7915774-1cbf-4dde-92b2-ae35175db64c' class='xr-var-data-in' type='checkbox'><label for='data-a7915774-1cbf-4dde-92b2-ae35175db64c' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>comment :</span></dt><dd>AOD from the ambient aerosols (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute &#x27;wavelength: 550nm&#x27;</dd><dt><span>history :</span></dt><dd>2019-08-15T14:30:44Z altered by CMOR: Treated scalar dimension: &#x27;wavelength&#x27;. 2019-08-15T14:30:45Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>long_name :</span></dt><dd>Ambient Aerosol Optical Thickness at 550nm</dd><dt><span>original_name :</span></dt><dd>DOD550</dd><dt><span>standard_name :</span></dt><dd>atmosphere_optical_thickness_due_to_ambient_aerosol_particles</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
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       "                        <td> 52.21 MiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (1, 1, 1980, 96, 144) </td>\n",
       "                        <td> (1, 1, 990, 96, 144) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 3 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d48a5678-f30d-4958-ac53-8f2005bf9fcd' class='xr-section-summary-in' type='checkbox'  ><label for='section-d48a5678-f30d-4958-ac53-8f2005bf9fcd' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a86ed090-3416-45ec-a1b0-bf0ddeee085f' class='xr-index-data-in' type='checkbox'/><label for='index-a86ed090-3416-45ec-a1b0-bf0ddeee085f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              -90.0,  -88.10526315789474,  -86.21052631578948,\n",
       "         -84.3157894736842,  -82.42105263157895,  -80.52631578947368,\n",
       "        -78.63157894736842,  -76.73684210526316,  -74.84210526315789,\n",
       "        -72.94736842105263,  -71.05263157894737,  -69.15789473684211,\n",
       "        -67.26315789473685,  -65.36842105263158, -63.473684210526315,\n",
       "       -61.578947368421055, -59.684210526315795,  -57.78947368421053,\n",
       "        -55.89473684210527,               -54.0,  -52.10526315789474,\n",
       "        -50.21052631578947,  -48.31578947368421,  -46.42105263157895,\n",
       "       -44.526315789473685, -42.631578947368425,  -40.73684210526316,\n",
       "         -38.8421052631579,  -36.94736842105264,  -35.05263157894737,\n",
       "        -33.15789473684211, -31.263157894736842, -29.368421052631582,\n",
       "       -27.473684210526322, -25.578947368421055, -23.684210526315795,\n",
       "       -21.789473684210535,  -19.89473684210526,               -18.0,\n",
       "        -16.10526315789474,  -14.21052631578948,  -12.31578947368422,\n",
       "       -10.421052631578945,  -8.526315789473685,  -6.631578947368425,\n",
       "        -4.736842105263165, -2.8421052631579045, -0.9473684210526301,\n",
       "        0.9473684210526301,  2.8421052631578902,    4.73684210526315,\n",
       "         6.631578947368411,   8.526315789473685,  10.421052631578945,\n",
       "        12.315789473684205,  14.210526315789465,  16.105263157894726,\n",
       "                      18.0,   19.89473684210526,   21.78947368421052,\n",
       "         23.68421052631578,   25.57894736842104,  27.473684210526315,\n",
       "        29.368421052631575,  31.263157894736835,  33.157894736842096,\n",
       "        35.052631578947356,   36.94736842105263,   38.84210526315789,\n",
       "         40.73684210526315,   42.63157894736841,   44.52631578947367,\n",
       "         46.42105263157893,   48.31578947368419,   50.21052631578948,\n",
       "         52.10526315789474,                54.0,   55.89473684210526,\n",
       "         57.78947368421052,   59.68421052631578,   61.57894736842104,\n",
       "          63.4736842105263,   65.36842105263156,   67.26315789473682,\n",
       "         69.15789473684211,   71.05263157894737,   72.94736842105263,\n",
       "         74.84210526315789,   76.73684210526315,   78.63157894736841,\n",
       "         80.52631578947367,   82.42105263157893,   84.31578947368419,\n",
       "         86.21052631578945,   88.10526315789474,                90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a211167a-124f-46c0-8465-789811c116c4' class='xr-index-data-in' type='checkbox'/><label for='index-a211167a-124f-46c0-8465-789811c116c4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.5,   5.0,   7.5,  10.0,  12.5,  15.0,  17.5,  20.0,  22.5,\n",
       "       ...\n",
       "       335.0, 337.5, 340.0, 342.5, 345.0, 347.5, 350.0, 352.5, 355.0, 357.5],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=144))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d13cda58-5649-4c6c-8498-74c97d713676' class='xr-index-data-in' type='checkbox'/><label for='index-d13cda58-5649-4c6c-8498-74c97d713676' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1850-01-16 12:00:00, 1850-02-15 00:00:00, 1850-03-16 12:00:00,\n",
       "             1850-04-16 00:00:00, 1850-05-16 12:00:00, 1850-06-16 00:00:00,\n",
       "             1850-07-16 12:00:00, 1850-08-16 12:00:00, 1850-09-16 00:00:00,\n",
       "             1850-10-16 12:00:00,\n",
       "             ...\n",
       "             2014-03-16 12:00:00, 2014-04-16 00:00:00, 2014-05-16 12:00:00,\n",
       "             2014-06-16 00:00:00, 2014-07-16 12:00:00, 2014-08-16 12:00:00,\n",
       "             2014-09-16 00:00:00, 2014-10-16 12:00:00, 2014-11-16 00:00:00,\n",
       "             2014-12-16 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=1980, calendar=&#x27;noleap&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>member_id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-97bfbb3b-92f9-4ad3-9e52-51e14658b39b' class='xr-index-data-in' type='checkbox'/><label for='index-97bfbb3b-92f9-4ad3-9e52-51e14658b39b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;r1i1p1f1&#x27;], dtype=&#x27;object&#x27;, name=&#x27;member_id&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dcpp_init_year</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-beaa1820-114b-4a70-b732-2dbf82e78051' class='xr-index-data-in' type='checkbox'/><label for='index-beaa1820-114b-4a70-b732-2dbf82e78051' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([nan], dtype=&#x27;float64&#x27;, name=&#x27;dcpp_init_year&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96469a2c-b1cf-490f-97de-6e237e688da1' class='xr-section-summary-in' type='checkbox'  ><label for='section-96469a2c-b1cf-490f-97de-6e237e688da1' class='xr-section-summary' >Attributes: <span>(65)</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-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Hybrid-restart from year 1600-01-01 of piControl</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>430335.0</dd><dt><span>cmor_version :</span></dt><dd>3.5.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>creation_date :</span></dt><dd>2019-08-15T14:30:45Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NCC.NorESM2-LM.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>finite-volume grid with 1.9x2.5 degree lat/lon resolution</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-08-15T14:30:45Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway</dd><dt><span>institution_id :</span></dt><dd>NCC</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NCC is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>model_id :</span></dt><dd>NorESM2-LM</dd><dt><span>nominal_resolution :</span></dt><dd>250 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>parent_sub_experiment_id :</span></dt><dd>none</dd><dt><span>parent_time_units :</span></dt><dd>days since 0421-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>aerosol</dd><dt><span>run_variant :</span></dt><dd>N/A</dd><dt><span>source :</span></dt><dd>NorESM2-LM (2017): \n",
       "aerosol: OsloAero\n",
       "atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb)\n",
       "atmosChem: OsloChemSimp\n",
       "land: CLM\n",
       "landIce: CISM\n",
       "ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data])\n",
       "ocnBgchem: HAMOCC\n",
       "seaIce: CICE</dd><dt><span>source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>status :</span></dt><dd>2020-03-25;created; by gcs.cmip6.ldeo@gmail.com</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>AERmon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(24 July 2019) MD5:08e314340b9dd440c36c1b8e484514f4</dd><dt><span>title :</span></dt><dd>NorESM2-LM output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\n",
       "hdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\n",
       "hdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\n",
       "hdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\n",
       "hdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\n",
       "hdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\n",
       "hdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\n",
       "hdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\n",
       "hdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\n",
       "hdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\n",
       "hdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\n",
       "hdl:21.14100/eee79e49-dd70-4d8f-b195-c885aca26e3a\n",
       "hdl:21.14100/7cd2e526-a94c-4004-bfe8-32832a9df6d7\n",
       "hdl:21.14100/b2421ba2-c8c9-44c0-84af-f9b09cb87759\n",
       "hdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\n",
       "hdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\n",
       "hdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07</dd><dt><span>variable_id :</span></dt><dd>od550aer</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>netcdf_tracking_ids :</span></dt><dd>hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\n",
       "hdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\n",
       "hdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\n",
       "hdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\n",
       "hdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\n",
       "hdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\n",
       "hdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\n",
       "hdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\n",
       "hdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\n",
       "hdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\n",
       "hdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\n",
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       "hdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\n",
       "hdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\n",
       "hdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07</dd><dt><span>version_id :</span></dt><dd>v20190815</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;od550aer&#x27;]</dd><dt><span>intake_esm_attrs:activity_id :</span></dt><dd>CMIP</dd><dt><span>intake_esm_attrs:institution_id :</span></dt><dd>NCC</dd><dt><span>intake_esm_attrs:source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>intake_esm_attrs:experiment_id :</span></dt><dd>historical</dd><dt><span>intake_esm_attrs:member_id :</span></dt><dd>r1i1p1f1</dd><dt><span>intake_esm_attrs:table_id :</span></dt><dd>AERmon</dd><dt><span>intake_esm_attrs:variable_id :</span></dt><dd>od550aer</dd><dt><span>intake_esm_attrs:grid_label :</span></dt><dd>gn</dd><dt><span>intake_esm_attrs:zstore :</span></dt><dd>gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/historical/r1i1p1f1/AERmon/od550aer/gn/v20190815/</dd><dt><span>intake_esm_attrs:version :</span></dt><dd>20190815</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>zarr</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>CMIP.NCC.NorESM2-LM.historical.AERmon.gn</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 110MB\n",
       "Dimensions:         (lat: 96, bnds: 2, lon: 144, member_id: 1,\n",
       "                     dcpp_init_year: 1, time: 1980)\n",
       "Coordinates:\n",
       "  * lat             (lat) float64 768B -90.0 -88.11 -86.21 ... 86.21 88.11 90.0\n",
       "    lat_bnds        (lat, bnds) float64 2kB dask.array<chunksize=(96, 2), meta=np.ndarray>\n",
       "  * lon             (lon) float64 1kB 0.0 2.5 5.0 7.5 ... 352.5 355.0 357.5\n",
       "    lon_bnds        (lon, bnds) float64 2kB dask.array<chunksize=(144, 2), meta=np.ndarray>\n",
       "  * time            (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:...\n",
       "    time_bnds       (time, bnds) object 32kB dask.array<chunksize=(1980, 2), meta=np.ndarray>\n",
       "    wavelength      float64 8B ...\n",
       "  * member_id       (member_id) object 8B 'r1i1p1f1'\n",
       "  * dcpp_init_year  (dcpp_init_year) float64 8B nan\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    od550aer        (member_id, dcpp_init_year, time, lat, lon) float32 109MB dask.array<chunksize=(1, 1, 990, 96, 144), meta=np.ndarray>\n",
       "Attributes: (12/65)\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    Hybrid-restart from year 1600-01-01 of ...\n",
       "    branch_time:                      0.0\n",
       "    branch_time_in_child:             0.0\n",
       "    branch_time_in_parent:            430335.0\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:variable_id:     od550aer\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:zstore:          gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/hi...\n",
       "    intake_esm_attrs:version:         20190815\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NCC.NorESM2-LM.historical.AERmon.gn"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = dset_dict['CMIP.NCC.NorESM2-LM.historical.AERmon.gn']\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "informative-backing",
   "metadata": {},
   "source": [
    "### Plot on NorthPolarStereo and set the latitude limit "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "steady-pantyhose",
   "metadata": {},
   "outputs": [],
   "source": [
    "def polarCentral_set_latlim(lat_lims, ax):\n",
    "    ax.set_extent([-180, 180, lat_lims[0], lat_lims[1]], ccrs.PlateCarree())\n",
    "    # Compute a circle in axes coordinates, which we can use as a boundary\n",
    "    # for the map. We can pan/zoom as much as we like - the boundary will be\n",
    "    # permanently circular.\n",
    "    theta = np.linspace(0, 2*np.pi, 100)\n",
    "    center, radius = [0.5, 0.5], 0.5\n",
    "    verts = np.vstack([np.sin(theta), np.cos(theta)]).T\n",
    "    circle = mpath.Path(verts * radius + center)\n",
    "\n",
    "    ax.set_boundary(circle, transform=ax.transAxes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "competent-fantasy",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.geocollection.GeoQuadMesh at 0x7f8eb5261650>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(1, figsize=[10,10])\n",
    "\n",
    "# Fix extent\n",
    "minval = 0\n",
    "maxval = 0.3\n",
    "\n",
    "ax = plt.subplot(1, 1, 1, projection=ccrs.NorthPolarStereo())\n",
    "ax.coastlines()\n",
    "ax.gridlines()\n",
    "polarCentral_set_latlim([50,90], ax)\n",
    "(ds['od550aer']\n",
    " .sel(time=cftime.DatetimeNoLeap(1985, 1, 16, 12, 0, 0, 0))\n",
    " .plot(ax=ax, vmin=minval, vmax=maxval, transform=ccrs.PlateCarree(), cmap='Reds')\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "material-lender",
   "metadata": {},
   "source": [
    "### Get attributes (unique identifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bizarre-province",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\\nhdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\\nhdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\\nhdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\\nhdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\\nhdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\\nhdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\\nhdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\\nhdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\\nhdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\\nhdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\\nhdl:21.14100/eee79e49-dd70-4d8f-b195-c885aca26e3a\\nhdl:21.14100/7cd2e526-a94c-4004-bfe8-32832a9df6d7\\nhdl:21.14100/b2421ba2-c8c9-44c0-84af-f9b09cb87759\\nhdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\\nhdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\\nhdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.attrs['tracking_id']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "marine-samoa",
   "metadata": {},
   "source": [
    "## Regrid CMIP6 data to common NorESM2-LM grid\n",
    "- Select a time range\n",
    "- we use `squeeze` to remove dimension with one element only e.g. member_id='r1i1p1f1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "designing-bridges",
   "metadata": {},
   "outputs": [],
   "source": [
    "starty = '1985-01'\n",
    "endy = '1986-12'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "unknown-physics",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --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[data-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",
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       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
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       "\n",
       ".xr-section-summary {\n",
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       "\n",
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       "}\n",
       "\n",
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       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
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       "  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",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
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       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
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       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
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       "}\n",
       "\n",
       ".xr-section-details {\n",
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       "  margin-bottom: 5px;\n",
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       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
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       "  display: grid;\n",
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       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
       ".xr-preview {\n",
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       "\n",
       ".xr-array-preview,\n",
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       "\n",
       ".xr-array-data,\n",
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       "  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",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 1MB\n",
       "Dimensions:         (lat: 96, bnds: 2, lon: 144, time: 24)\n",
       "Coordinates:\n",
       "  * lat             (lat) float64 768B -90.0 -88.11 -86.21 ... 86.21 88.11 90.0\n",
       "    lat_bnds        (lat, bnds) float64 2kB dask.array&lt;chunksize=(96, 2), meta=np.ndarray&gt;\n",
       "  * lon             (lon) float64 1kB 0.0 2.5 5.0 7.5 ... 352.5 355.0 357.5\n",
       "    lon_bnds        (lon, bnds) float64 2kB dask.array&lt;chunksize=(144, 2), meta=np.ndarray&gt;\n",
       "  * time            (time) object 192B 1985-01-16 12:00:00 ... 1986-12-16 12:...\n",
       "    time_bnds       (time, bnds) object 384B dask.array&lt;chunksize=(24, 2), meta=np.ndarray&gt;\n",
       "    wavelength      float64 8B ...\n",
       "    member_id       &lt;U8 32B &#x27;r1i1p1f1&#x27;\n",
       "    dcpp_init_year  float64 8B nan\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    od550aer        (time, lat, lon) float32 1MB dask.array&lt;chunksize=(24, 96, 144), meta=np.ndarray&gt;\n",
       "Attributes: (12/65)\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    Hybrid-restart from year 1600-01-01 of ...\n",
       "    branch_time:                      0.0\n",
       "    branch_time_in_child:             0.0\n",
       "    branch_time_in_parent:            430335.0\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:variable_id:     od550aer\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:zstore:          gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/hi...\n",
       "    intake_esm_attrs:version:         20190815\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NCC.NorESM2-LM.historical.AERmon.gn</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-7cbb2a97-bd9c-4371-aad4-dc60b5e7d825' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7cbb2a97-bd9c-4371-aad4-dc60b5e7d825' 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'>lat</span>: 96</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span class='xr-has-index'>time</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fd86b895-2871-4b40-934b-da7df3e2c191' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd86b895-2871-4b40-934b-da7df3e2c191' class='xr-section-summary' >Coordinates: <span>(9)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-2437d24a-a978-410e-805f-46ef9abb8710' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2437d24a-a978-410e-805f-46ef9abb8710' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9445d190-dbcc-4a72-a607-0dbcbffe6348' class='xr-var-data-in' type='checkbox'><label for='data-9445d190-dbcc-4a72-a607-0dbcbffe6348' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(96, 2), meta=np.ndarray&gt;</div><input id='attrs-e367de8a-c843-400c-ad9d-d7305cfa7205' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e367de8a-c843-400c-ad9d-d7305cfa7205' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66d68ecc-92d5-4bcb-aeda-dc6d60695d39' class='xr-var-data-in' type='checkbox'><label for='data-66d68ecc-92d5-4bcb-aeda-dc6d60695d39' 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'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
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       "                        <td> 1.50 kiB </td>\n",
       "                        <td> 1.50 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
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       "                        <th> Shape </th>\n",
       "                        <td> (96, 2) </td>\n",
       "                        <td> (96, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-bab6eed9-9872-491c-8d09-09353f3da303' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bab6eed9-9872-491c-8d09-09353f3da303' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e30e6d02-5654-4955-bf1c-7a16e5bae68d' class='xr-var-data-in' type='checkbox'><label for='data-e30e6d02-5654-4955-bf1c-7a16e5bae68d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(144, 2), meta=np.ndarray&gt;</div><input id='attrs-458a08a1-2f38-411f-9672-7460047ded02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-458a08a1-2f38-411f-9672-7460047ded02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1c4e661-0047-4831-8c10-a11aa4d0df43' class='xr-var-data-in' type='checkbox'><label for='data-b1c4e661-0047-4831-8c10-a11aa4d0df43' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.25 kiB </td>\n",
       "                        <td> 2.25 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (144, 2) </td>\n",
       "                        <td> (144, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"77\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"27\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <text x=\"13.527018\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"47.054036\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,47.054036,60.000000)\">144</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></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'>object</div><div class='xr-var-preview xr-preview'>1985-01-16 12:00:00 ... 1986-12-...</div><input id='attrs-dc3b714f-8c67-426f-831a-28b3c1c18ecd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc3b714f-8c67-426f-831a-28b3c1c18ecd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dd7ffd3-4bef-488e-ad9a-781c586a13b4' class='xr-var-data-in' type='checkbox'><label for='data-2dd7ffd3-4bef-488e-ad9a-781c586a13b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1985, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1985, 12, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1986, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(24, 2), meta=np.ndarray&gt;</div><input id='attrs-7c77690f-102b-4200-b078-90c38dcdbbaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c77690f-102b-4200-b078-90c38dcdbbaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4d32043-cc96-4830-9910-6874cdc0f108' class='xr-var-data-in' type='checkbox'><label for='data-e4d32043-cc96-4830-9910-6874cdc0f108' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 384 B </td>\n",
       "                        <td> 384 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (24, 2) </td>\n",
       "                        <td> (24, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> object numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"87\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"37\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <text x=\"18.781793\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wavelength</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d61642b7-6799-4496-aca7-d6cf47e6020e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d61642b7-6799-4496-aca7-d6cf47e6020e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbaeef23-0b62-4171-85ee-f15fa226a034' class='xr-var-data-in' type='checkbox'><label for='data-bbaeef23-0b62-4171-85ee-f15fa226a034' 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>Radiation Wavelength 550 nanometers</dd><dt><span>standard_name :</span></dt><dd>radiation_wavelength</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>member_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;r1i1p1f1&#x27;</div><input id='attrs-8e224bee-f96d-472c-a5d4-b138a58a64bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e224bee-f96d-472c-a5d4-b138a58a64bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0db5826-990c-47cd-8783-7d1f7084769a' class='xr-var-data-in' type='checkbox'><label for='data-a0db5826-990c-47cd-8783-7d1f7084769a' 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(&#x27;r1i1p1f1&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dcpp_init_year</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-91a70969-73c9-4de0-b87b-a83a5f5fb0de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91a70969-73c9-4de0-b87b-a83a5f5fb0de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f4ce630-4417-4b57-968a-6605ae016c25' class='xr-var-data-in' type='checkbox'><label for='data-4f4ce630-4417-4b57-968a-6605ae016c25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b4d7b47e-cabd-43cc-a688-57e8577ad1b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b4d7b47e-cabd-43cc-a688-57e8577ad1b3' 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>od550aer</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(24, 96, 144), meta=np.ndarray&gt;</div><input id='attrs-63b080b9-cdba-493e-9859-223b14c8931d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63b080b9-cdba-493e-9859-223b14c8931d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d84c6b2-9e90-4d1d-8d9f-34208ed4490a' class='xr-var-data-in' type='checkbox'><label for='data-8d84c6b2-9e90-4d1d-8d9f-34208ed4490a' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>comment :</span></dt><dd>AOD from the ambient aerosols (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute &#x27;wavelength: 550nm&#x27;</dd><dt><span>history :</span></dt><dd>2019-08-15T14:30:44Z altered by CMOR: Treated scalar dimension: &#x27;wavelength&#x27;. 2019-08-15T14:30:45Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>long_name :</span></dt><dd>Ambient Aerosol Optical Thickness at 550nm</dd><dt><span>original_name :</span></dt><dd>DOD550</dd><dt><span>standard_name :</span></dt><dd>atmosphere_optical_thickness_due_to_ambient_aerosol_particles</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.27 MiB </td>\n",
       "                        <td> 1.27 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (24, 96, 144) </td>\n",
       "                        <td> (24, 96, 144) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 5 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "  <polygon points=\"10.0,0.0 130.0,0.0 154.23754671845143,24.23754671845142 34.23754671845142,24.23754671845142\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"34\" y1=\"24\" x2=\"154\" y2=\"24\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"34\" y1=\"104\" x2=\"154\" y2=\"104\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"34\" y1=\"24\" x2=\"34\" y2=\"104\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"154\" y1=\"24\" x2=\"154\" y2=\"104\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"34.23754671845142,24.23754671845142 154.23754671845143,24.23754671845142 154.23754671845143,104.23754671845143 34.23754671845142,104.23754671845143\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"94.237547\" y=\"124.237547\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >144</text>\n",
       "  <text x=\"174.237547\" y=\"64.237547\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,174.237547,64.237547)\">96</text>\n",
       "  <text x=\"12.118773\" y=\"112.118773\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,12.118773,112.118773)\">24</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f18ba5da-dab9-446d-988a-4b80906ff4f0' class='xr-section-summary-in' type='checkbox'  ><label for='section-f18ba5da-dab9-446d-988a-4b80906ff4f0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4bd6da07-2275-466d-9844-41a91a8a00e4' class='xr-index-data-in' type='checkbox'/><label for='index-4bd6da07-2275-466d-9844-41a91a8a00e4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              -90.0,  -88.10526315789474,  -86.21052631578948,\n",
       "         -84.3157894736842,  -82.42105263157895,  -80.52631578947368,\n",
       "        -78.63157894736842,  -76.73684210526316,  -74.84210526315789,\n",
       "        -72.94736842105263,  -71.05263157894737,  -69.15789473684211,\n",
       "        -67.26315789473685,  -65.36842105263158, -63.473684210526315,\n",
       "       -61.578947368421055, -59.684210526315795,  -57.78947368421053,\n",
       "        -55.89473684210527,               -54.0,  -52.10526315789474,\n",
       "        -50.21052631578947,  -48.31578947368421,  -46.42105263157895,\n",
       "       -44.526315789473685, -42.631578947368425,  -40.73684210526316,\n",
       "         -38.8421052631579,  -36.94736842105264,  -35.05263157894737,\n",
       "        -33.15789473684211, -31.263157894736842, -29.368421052631582,\n",
       "       -27.473684210526322, -25.578947368421055, -23.684210526315795,\n",
       "       -21.789473684210535,  -19.89473684210526,               -18.0,\n",
       "        -16.10526315789474,  -14.21052631578948,  -12.31578947368422,\n",
       "       -10.421052631578945,  -8.526315789473685,  -6.631578947368425,\n",
       "        -4.736842105263165, -2.8421052631579045, -0.9473684210526301,\n",
       "        0.9473684210526301,  2.8421052631578902,    4.73684210526315,\n",
       "         6.631578947368411,   8.526315789473685,  10.421052631578945,\n",
       "        12.315789473684205,  14.210526315789465,  16.105263157894726,\n",
       "                      18.0,   19.89473684210526,   21.78947368421052,\n",
       "         23.68421052631578,   25.57894736842104,  27.473684210526315,\n",
       "        29.368421052631575,  31.263157894736835,  33.157894736842096,\n",
       "        35.052631578947356,   36.94736842105263,   38.84210526315789,\n",
       "         40.73684210526315,   42.63157894736841,   44.52631578947367,\n",
       "         46.42105263157893,   48.31578947368419,   50.21052631578948,\n",
       "         52.10526315789474,                54.0,   55.89473684210526,\n",
       "         57.78947368421052,   59.68421052631578,   61.57894736842104,\n",
       "          63.4736842105263,   65.36842105263156,   67.26315789473682,\n",
       "         69.15789473684211,   71.05263157894737,   72.94736842105263,\n",
       "         74.84210526315789,   76.73684210526315,   78.63157894736841,\n",
       "         80.52631578947367,   82.42105263157893,   84.31578947368419,\n",
       "         86.21052631578945,   88.10526315789474,                90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-60190c11-2ab2-4673-87a3-20136777143e' class='xr-index-data-in' type='checkbox'/><label for='index-60190c11-2ab2-4673-87a3-20136777143e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.5,   5.0,   7.5,  10.0,  12.5,  15.0,  17.5,  20.0,  22.5,\n",
       "       ...\n",
       "       335.0, 337.5, 340.0, 342.5, 345.0, 347.5, 350.0, 352.5, 355.0, 357.5],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=144))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-11e0d89e-e2d4-4163-b399-cae1fb9fcc62' class='xr-index-data-in' type='checkbox'/><label for='index-11e0d89e-e2d4-4163-b399-cae1fb9fcc62' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1985-01-16 12:00:00, 1985-02-15 00:00:00, 1985-03-16 12:00:00,\n",
       "             1985-04-16 00:00:00, 1985-05-16 12:00:00, 1985-06-16 00:00:00,\n",
       "             1985-07-16 12:00:00, 1985-08-16 12:00:00, 1985-09-16 00:00:00,\n",
       "             1985-10-16 12:00:00, 1985-11-16 00:00:00, 1985-12-16 12:00:00,\n",
       "             1986-01-16 12:00:00, 1986-02-15 00:00:00, 1986-03-16 12:00:00,\n",
       "             1986-04-16 00:00:00, 1986-05-16 12:00:00, 1986-06-16 00:00:00,\n",
       "             1986-07-16 12:00:00, 1986-08-16 12:00:00, 1986-09-16 00:00:00,\n",
       "             1986-10-16 12:00:00, 1986-11-16 00:00:00, 1986-12-16 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=24, calendar=&#x27;noleap&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3d46454-f4e6-4978-ba31-5232107cc840' class='xr-section-summary-in' type='checkbox'  ><label for='section-a3d46454-f4e6-4978-ba31-5232107cc840' class='xr-section-summary' >Attributes: <span>(65)</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-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Hybrid-restart from year 1600-01-01 of piControl</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>430335.0</dd><dt><span>cmor_version :</span></dt><dd>3.5.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>creation_date :</span></dt><dd>2019-08-15T14:30:45Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NCC.NorESM2-LM.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>finite-volume grid with 1.9x2.5 degree lat/lon resolution</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-08-15T14:30:45Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway</dd><dt><span>institution_id :</span></dt><dd>NCC</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NCC is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>model_id :</span></dt><dd>NorESM2-LM</dd><dt><span>nominal_resolution :</span></dt><dd>250 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>parent_sub_experiment_id :</span></dt><dd>none</dd><dt><span>parent_time_units :</span></dt><dd>days since 0421-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>aerosol</dd><dt><span>run_variant :</span></dt><dd>N/A</dd><dt><span>source :</span></dt><dd>NorESM2-LM (2017): \n",
       "aerosol: OsloAero\n",
       "atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb)\n",
       "atmosChem: OsloChemSimp\n",
       "land: CLM\n",
       "landIce: CISM\n",
       "ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data])\n",
       "ocnBgchem: HAMOCC\n",
       "seaIce: CICE</dd><dt><span>source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>status :</span></dt><dd>2020-03-25;created; by gcs.cmip6.ldeo@gmail.com</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>AERmon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(24 July 2019) MD5:08e314340b9dd440c36c1b8e484514f4</dd><dt><span>title :</span></dt><dd>NorESM2-LM output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\n",
       "hdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\n",
       "hdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\n",
       "hdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\n",
       "hdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\n",
       "hdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\n",
       "hdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\n",
       "hdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\n",
       "hdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\n",
       "hdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\n",
       "hdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\n",
       "hdl:21.14100/eee79e49-dd70-4d8f-b195-c885aca26e3a\n",
       "hdl:21.14100/7cd2e526-a94c-4004-bfe8-32832a9df6d7\n",
       "hdl:21.14100/b2421ba2-c8c9-44c0-84af-f9b09cb87759\n",
       "hdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\n",
       "hdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\n",
       "hdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07</dd><dt><span>variable_id :</span></dt><dd>od550aer</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>netcdf_tracking_ids :</span></dt><dd>hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\n",
       "hdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\n",
       "hdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\n",
       "hdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\n",
       "hdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\n",
       "hdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\n",
       "hdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\n",
       "hdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\n",
       "hdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\n",
       "hdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\n",
       "hdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\n",
       "hdl:21.14100/eee79e49-dd70-4d8f-b195-c885aca26e3a\n",
       "hdl:21.14100/7cd2e526-a94c-4004-bfe8-32832a9df6d7\n",
       "hdl:21.14100/b2421ba2-c8c9-44c0-84af-f9b09cb87759\n",
       "hdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\n",
       "hdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\n",
       "hdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07</dd><dt><span>version_id :</span></dt><dd>v20190815</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;od550aer&#x27;]</dd><dt><span>intake_esm_attrs:activity_id :</span></dt><dd>CMIP</dd><dt><span>intake_esm_attrs:institution_id :</span></dt><dd>NCC</dd><dt><span>intake_esm_attrs:source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>intake_esm_attrs:experiment_id :</span></dt><dd>historical</dd><dt><span>intake_esm_attrs:member_id :</span></dt><dd>r1i1p1f1</dd><dt><span>intake_esm_attrs:table_id :</span></dt><dd>AERmon</dd><dt><span>intake_esm_attrs:variable_id :</span></dt><dd>od550aer</dd><dt><span>intake_esm_attrs:grid_label :</span></dt><dd>gn</dd><dt><span>intake_esm_attrs:zstore :</span></dt><dd>gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/historical/r1i1p1f1/AERmon/od550aer/gn/v20190815/</dd><dt><span>intake_esm_attrs:version :</span></dt><dd>20190815</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>zarr</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>CMIP.NCC.NorESM2-LM.historical.AERmon.gn</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 1MB\n",
       "Dimensions:         (lat: 96, bnds: 2, lon: 144, time: 24)\n",
       "Coordinates:\n",
       "  * lat             (lat) float64 768B -90.0 -88.11 -86.21 ... 86.21 88.11 90.0\n",
       "    lat_bnds        (lat, bnds) float64 2kB dask.array<chunksize=(96, 2), meta=np.ndarray>\n",
       "  * lon             (lon) float64 1kB 0.0 2.5 5.0 7.5 ... 352.5 355.0 357.5\n",
       "    lon_bnds        (lon, bnds) float64 2kB dask.array<chunksize=(144, 2), meta=np.ndarray>\n",
       "  * time            (time) object 192B 1985-01-16 12:00:00 ... 1986-12-16 12:...\n",
       "    time_bnds       (time, bnds) object 384B dask.array<chunksize=(24, 2), meta=np.ndarray>\n",
       "    wavelength      float64 8B ...\n",
       "    member_id       <U8 32B 'r1i1p1f1'\n",
       "    dcpp_init_year  float64 8B nan\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    od550aer        (time, lat, lon) float32 1MB dask.array<chunksize=(24, 96, 144), meta=np.ndarray>\n",
       "Attributes: (12/65)\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    Hybrid-restart from year 1600-01-01 of ...\n",
       "    branch_time:                      0.0\n",
       "    branch_time_in_child:             0.0\n",
       "    branch_time_in_parent:            430335.0\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:variable_id:     od550aer\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:zstore:          gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/hi...\n",
       "    intake_esm_attrs:version:         20190815\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NCC.NorESM2-LM.historical.AERmon.gn"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read in the output grid from NorESM\n",
    "ds_out = ds.sel(time = slice(starty, endy)).squeeze() \n",
    "ds_out"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fc8ae97-1337-4984-9049-72d01fc282ae",
   "metadata": {},
   "source": [
    "## Save regridded data intermediately"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "altered-rebecca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CMIP.NCC.NorESM2-LM.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/NorESM2-LM/od550aer_AERmon.nc\n",
      "CMIP.MRI.MRI-ESM2-0.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/MRI-ESM2-0/od550aer_AERmon.nc\n",
      "CMIP.CCCma.CanESM5.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/CanESM5/od550aer_AERmon.nc\n",
      "CMIP.NCAR.CESM2.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/CESM2/od550aer_AERmon.nc\n",
      "CMIP.BCC.BCC-ESM1.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/BCC-ESM1/od550aer_AERmon.nc\n",
      "CMIP.HAMMOZ-Consortium.MPI-ESM-1-2-HAM.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/MPI-ESM-1-2-HAM/od550aer_AERmon.nc\n",
      "CMIP.NCAR.CESM2-WACCM-FV2.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/CESM2-WACCM-FV2/od550aer_AERmon.nc\n",
      "CMIP.NCAR.CESM2-FV2.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/CESM2-FV2/od550aer_AERmon.nc\n",
      "CMIP.MPI-M.MPI-ESM1-2-HR.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/MPI-ESM1-2-HR/od550aer_AERmon.nc\n",
      "CMIP.MPI-M.MPI-ESM1-2-LR.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/MPI-ESM1-2-LR/od550aer_AERmon.nc\n",
      "CMIP.NCAR.CESM2-WACCM.historical.AERmon.gn\n",
      "file written: ../../../../Data_processed/CMIP6_hist/CESM2-WACCM/od550aer_AERmon.nc\n"
     ]
    }
   ],
   "source": [
    "# create dictionary for reggridded data\n",
    "ds_regrid_dict = dict()\n",
    "for key in dset_dict.keys():\n",
    "    print(key)\n",
    "    ds_in = dset_dict[key]\n",
    "    ds_in = ds_in.sel(time=slice(starty, endy)).squeeze()\n",
    "    regridder = xe.Regridder(ds_in, ds_out, 'bilinear')\n",
    "    # Apply regridder to data\n",
    "    # the entire dataset can be processed at once\n",
    "    ds_in_regrid = regridder(ds_in, keep_attrs=True)\n",
    "    # Save to netcdf file\n",
    "    model = key.split('.')[2]\n",
    "    filename = 'od550aer_AERmon.nc'\n",
    "    savepath = path_to_save_data / 'CMIP6_hist' / model\n",
    "    savepath.mkdir(parents=True, exist_ok=True)\n",
    "    filename_out = savepath / filename \n",
    "    ds_in_regrid.to_netcdf(filename_out)\n",
    "    # create dataset with all models\n",
    "    ds_regrid_dict[model] = ds_in_regrid\n",
    "    print(f'file written: {filename_out}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "practical-winter",
   "metadata": {},
   "source": [
    "## Concatenate all models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d71ab9f7-f642-4c80-9fba-9514deb9e0f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cftime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4865d849-c0bd-43f6-b7e5-bdc06794f8b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "for k in ds_regrid_dict.keys():\n",
    "    _ds = ds_regrid_dict[k]\n",
    "\n",
    "    _ds= _ds.resample(time='1M').mean('time')\n",
    "    # change calendar \n",
    "    units = 'days since 1900-01-01'\n",
    "    _t = _ds.time\n",
    "    _ds['time'] = cftime.date2num(_t.values, 'days since 1900-01-01')\n",
    "    _ds['time'].attrs['units'] = units\n",
    "    _ds = xr.decode_cf(_ds)\n",
    "    ds_regrid_dict[k] = _ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "yellow-organic",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 29MB\n",
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       "    dcpp_init_year  (model) float64 88B nan nan nan nan nan ... nan nan nan nan\n",
       "  * model           (model) object 88B &#x27;NorESM2-LM&#x27; ... &#x27;CESM2-WACCM&#x27;\n",
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       "    od550aer        (model, time, lat, lon) float32 29MB dask.array&lt;chunksize=(1, 48, 64, 128), meta=np.ndarray&gt;\n",
       "Attributes: (12/66)\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    Hybrid-restart from year 1600-01-01 of ...\n",
       "    branch_time:                      0.0\n",
       "    branch_time_in_child:             0.0\n",
       "    branch_time_in_parent:            430335.0\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:zstore:          gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/hi...\n",
       "    intake_esm_attrs:version:         20190815\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NCC.NorESM2-LM.historical.AERmon.gn\n",
       "    regrid_method:                    bilinear</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-04875247-06e1-479b-8175-12b84e857e7a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-04875247-06e1-479b-8175-12b84e857e7a' 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'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span class='xr-has-index'>time</span>: 48</li><li><span class='xr-has-index'>model</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9c50a409-97d7-4c37-ac71-7b5023364d6e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9c50a409-97d7-4c37-ac71-7b5023364d6e' class='xr-section-summary' >Coordinates: <span>(7)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-8b3f7c1c-5c7d-4824-8da4-4bf12953b2ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b3f7c1c-5c7d-4824-8da4-4bf12953b2ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76660068-5093-4afa-ab2b-f8264213a523' class='xr-var-data-in' type='checkbox'><label for='data-76660068-5093-4afa-ab2b-f8264213a523' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-c294d96e-5800-4fd3-bc80-73615f16f9bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c294d96e-5800-4fd3-bc80-73615f16f9bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c731aa5c-8f1c-44e2-96ea-88bfde1077ea' class='xr-var-data-in' type='checkbox'><label for='data-c731aa5c-8f1c-44e2-96ea-88bfde1077ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</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'>1985-01-10 ... 1986-12-31</div><input id='attrs-33dea808-d104-409e-8577-9d25a58b6607' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33dea808-d104-409e-8577-9d25a58b6607' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cfd7821-0c02-482e-965b-40216bb7cef5' class='xr-var-data-in' type='checkbox'><label for='data-9cfd7821-0c02-482e-965b-40216bb7cef5' 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([&#x27;1985-01-10T00:00:00.000000000&#x27;, &#x27;1985-01-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-02-07T00:00:00.000000000&#x27;, &#x27;1985-02-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-03-10T00:00:00.000000000&#x27;, &#x27;1985-03-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-04-09T00:00:00.000000000&#x27;, &#x27;1985-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-05-10T00:00:00.000000000&#x27;, &#x27;1985-05-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-09T00:00:00.000000000&#x27;, &#x27;1985-06-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-07-10T00:00:00.000000000&#x27;, &#x27;1985-07-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-10T00:00:00.000000000&#x27;, &#x27;1985-08-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-09-09T00:00:00.000000000&#x27;, &#x27;1985-09-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-10-10T00:00:00.000000000&#x27;, &#x27;1985-10-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-11-09T00:00:00.000000000&#x27;, &#x27;1985-11-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-12-10T00:00:00.000000000&#x27;, &#x27;1985-12-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-01-10T00:00:00.000000000&#x27;, &#x27;1986-01-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-02-07T00:00:00.000000000&#x27;, &#x27;1986-02-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-03-10T00:00:00.000000000&#x27;, &#x27;1986-03-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-04-09T00:00:00.000000000&#x27;, &#x27;1986-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-05-10T00:00:00.000000000&#x27;, &#x27;1986-05-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-09T00:00:00.000000000&#x27;, &#x27;1986-06-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-07-10T00:00:00.000000000&#x27;, &#x27;1986-07-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-10T00:00:00.000000000&#x27;, &#x27;1986-08-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-09-09T00:00:00.000000000&#x27;, &#x27;1986-09-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-10-10T00:00:00.000000000&#x27;, &#x27;1986-10-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-11-09T00:00:00.000000000&#x27;, &#x27;1986-11-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-12-10T00:00:00.000000000&#x27;, &#x27;1986-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wavelength</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>550.0 550.0 550.0 ... 550.0 550.0</div><input id='attrs-0e7b7a2f-f95f-4f96-b0f6-9c661edfbcd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e7b7a2f-f95f-4f96-b0f6-9c661edfbcd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b2bebe-dd22-44e0-bba9-0f47f4a1de97' class='xr-var-data-in' type='checkbox'><label for='data-f5b2bebe-dd22-44e0-bba9-0f47f4a1de97' 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>Radiation Wavelength 550 nanometers</dd><dt><span>standard_name :</span></dt><dd>radiation_wavelength</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>array([550., 550., 550., 550., 550., 550., 550., 550., 550., 550., 550.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>member_id</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;r1i1p1f1&#x27; ... &#x27;r1i1p1f1&#x27;</div><input id='attrs-b6dc80c8-d169-45d0-9945-d0dcbf823648' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6dc80c8-d169-45d0-9945-d0dcbf823648' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a1ea506-4cc7-4ada-974b-1f05da01c4a1' class='xr-var-data-in' type='checkbox'><label for='data-2a1ea506-4cc7-4ada-974b-1f05da01c4a1' 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([&#x27;r1i1p1f1&#x27;, &#x27;r1i1p1f1&#x27;, &#x27;r1i1p1f1&#x27;, &#x27;r1i1p1f1&#x27;, &#x27;r1i1p1f1&#x27;,\n",
       "       &#x27;r1i1p1f1&#x27;, &#x27;r1i1p1f1&#x27;, &#x27;r1i1p1f1&#x27;, &#x27;r1i1p1f1&#x27;, &#x27;r1i1p1f1&#x27;,\n",
       "       &#x27;r1i1p1f1&#x27;], dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dcpp_init_year</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-95750e91-30d8-4ed9-931a-d3ae586b85fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95750e91-30d8-4ed9-931a-d3ae586b85fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48b1703d-94c4-4ab8-908c-d45d082fc62d' class='xr-var-data-in' type='checkbox'><label for='data-48b1703d-94c4-4ab8-908c-d45d082fc62d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;NorESM2-LM&#x27; ... &#x27;CESM2-WACCM&#x27;</div><input id='attrs-4194d70a-2d3e-4d54-b144-b4d0421c625e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4194d70a-2d3e-4d54-b144-b4d0421c625e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d108440-738a-4ef8-acb5-565117e12f1a' class='xr-var-data-in' type='checkbox'><label for='data-7d108440-738a-4ef8-acb5-565117e12f1a' 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([&#x27;NorESM2-LM&#x27;, &#x27;MRI-ESM2-0&#x27;, &#x27;CanESM5&#x27;, &#x27;CESM2&#x27;, &#x27;BCC-ESM1&#x27;,\n",
       "       &#x27;MPI-ESM-1-2-HAM&#x27;, &#x27;CESM2-WACCM-FV2&#x27;, &#x27;CESM2-FV2&#x27;, &#x27;MPI-ESM1-2-HR&#x27;,\n",
       "       &#x27;MPI-ESM1-2-LR&#x27;, &#x27;CESM2-WACCM&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a242775c-6397-49be-8b4f-6ebfcd19e1ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a242775c-6397-49be-8b4f-6ebfcd19e1ff' 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>od550aer</span></div><div class='xr-var-dims'>(model, time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 48, 64, 128), meta=np.ndarray&gt;</div><input id='attrs-2eecfc9b-2fed-4150-b614-3685366b5b04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2eecfc9b-2fed-4150-b614-3685366b5b04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0b30004-be33-4041-8224-9a84dbbde74f' class='xr-var-data-in' type='checkbox'><label for='data-f0b30004-be33-4041-8224-9a84dbbde74f' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>comment :</span></dt><dd>AOD from the ambient aerosols (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute &#x27;wavelength: 550nm&#x27;</dd><dt><span>history :</span></dt><dd>2019-08-15T14:30:44Z altered by CMOR: Treated scalar dimension: &#x27;wavelength&#x27;. 2019-08-15T14:30:45Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>long_name :</span></dt><dd>Ambient Aerosol Optical Thickness at 550nm</dd><dt><span>original_name :</span></dt><dd>DOD550</dd><dt><span>standard_name :</span></dt><dd>atmosphere_optical_thickness_due_to_ambient_aerosol_particles</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 27.84 MiB </td>\n",
       "                        <td> 1.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (11, 48, 96, 144) </td>\n",
       "                        <td> (1, 48, 64, 128) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 44 chunks in 222 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
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       "  <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-081c9f5f-bbe1-4f7d-9781-63888e0b1d19' class='xr-section-summary-in' type='checkbox'  ><label for='section-081c9f5f-bbe1-4f7d-9781-63888e0b1d19' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-596f196e-9917-44ed-88b9-521e84fdfd7c' class='xr-index-data-in' type='checkbox'/><label for='index-596f196e-9917-44ed-88b9-521e84fdfd7c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              -90.0,  -88.10526315789474,  -86.21052631578948,\n",
       "         -84.3157894736842,  -82.42105263157895,  -80.52631578947368,\n",
       "        -78.63157894736842,  -76.73684210526316,  -74.84210526315789,\n",
       "        -72.94736842105263,  -71.05263157894737,  -69.15789473684211,\n",
       "        -67.26315789473685,  -65.36842105263158, -63.473684210526315,\n",
       "       -61.578947368421055, -59.684210526315795,  -57.78947368421053,\n",
       "        -55.89473684210527,               -54.0,  -52.10526315789474,\n",
       "        -50.21052631578947,  -48.31578947368421,  -46.42105263157895,\n",
       "       -44.526315789473685, -42.631578947368425,  -40.73684210526316,\n",
       "         -38.8421052631579,  -36.94736842105264,  -35.05263157894737,\n",
       "        -33.15789473684211, -31.263157894736842, -29.368421052631582,\n",
       "       -27.473684210526322, -25.578947368421055, -23.684210526315795,\n",
       "       -21.789473684210535,  -19.89473684210526,               -18.0,\n",
       "        -16.10526315789474,  -14.21052631578948,  -12.31578947368422,\n",
       "       -10.421052631578945,  -8.526315789473685,  -6.631578947368425,\n",
       "        -4.736842105263165, -2.8421052631579045, -0.9473684210526301,\n",
       "        0.9473684210526301,  2.8421052631578902,    4.73684210526315,\n",
       "         6.631578947368411,   8.526315789473685,  10.421052631578945,\n",
       "        12.315789473684205,  14.210526315789465,  16.105263157894726,\n",
       "                      18.0,   19.89473684210526,   21.78947368421052,\n",
       "         23.68421052631578,   25.57894736842104,  27.473684210526315,\n",
       "        29.368421052631575,  31.263157894736835,  33.157894736842096,\n",
       "        35.052631578947356,   36.94736842105263,   38.84210526315789,\n",
       "         40.73684210526315,   42.63157894736841,   44.52631578947367,\n",
       "         46.42105263157893,   48.31578947368419,   50.21052631578948,\n",
       "         52.10526315789474,                54.0,   55.89473684210526,\n",
       "         57.78947368421052,   59.68421052631578,   61.57894736842104,\n",
       "          63.4736842105263,   65.36842105263156,   67.26315789473682,\n",
       "         69.15789473684211,   71.05263157894737,   72.94736842105263,\n",
       "         74.84210526315789,   76.73684210526315,   78.63157894736841,\n",
       "         80.52631578947367,   82.42105263157893,   84.31578947368419,\n",
       "         86.21052631578945,   88.10526315789474,                90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b4bcca87-d434-4233-8018-63e90bc5a950' class='xr-index-data-in' type='checkbox'/><label for='index-b4bcca87-d434-4233-8018-63e90bc5a950' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.5,   5.0,   7.5,  10.0,  12.5,  15.0,  17.5,  20.0,  22.5,\n",
       "       ...\n",
       "       335.0, 337.5, 340.0, 342.5, 345.0, 347.5, 350.0, 352.5, 355.0, 357.5],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=144))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a210e8c2-3d3e-4734-8f0f-147d42531a31' class='xr-index-data-in' type='checkbox'/><label for='index-a210e8c2-3d3e-4734-8f0f-147d42531a31' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1985-01-10&#x27;, &#x27;1985-01-31&#x27;, &#x27;1985-02-07&#x27;, &#x27;1985-02-28&#x27;,\n",
       "               &#x27;1985-03-10&#x27;, &#x27;1985-03-31&#x27;, &#x27;1985-04-09&#x27;, &#x27;1985-04-30&#x27;,\n",
       "               &#x27;1985-05-10&#x27;, &#x27;1985-05-31&#x27;, &#x27;1985-06-09&#x27;, &#x27;1985-06-30&#x27;,\n",
       "               &#x27;1985-07-10&#x27;, &#x27;1985-07-31&#x27;, &#x27;1985-08-10&#x27;, &#x27;1985-08-31&#x27;,\n",
       "               &#x27;1985-09-09&#x27;, &#x27;1985-09-30&#x27;, &#x27;1985-10-10&#x27;, &#x27;1985-10-31&#x27;,\n",
       "               &#x27;1985-11-09&#x27;, &#x27;1985-11-30&#x27;, &#x27;1985-12-10&#x27;, &#x27;1985-12-31&#x27;,\n",
       "               &#x27;1986-01-10&#x27;, &#x27;1986-01-31&#x27;, &#x27;1986-02-07&#x27;, &#x27;1986-02-28&#x27;,\n",
       "               &#x27;1986-03-10&#x27;, &#x27;1986-03-31&#x27;, &#x27;1986-04-09&#x27;, &#x27;1986-04-30&#x27;,\n",
       "               &#x27;1986-05-10&#x27;, &#x27;1986-05-31&#x27;, &#x27;1986-06-09&#x27;, &#x27;1986-06-30&#x27;,\n",
       "               &#x27;1986-07-10&#x27;, &#x27;1986-07-31&#x27;, &#x27;1986-08-10&#x27;, &#x27;1986-08-31&#x27;,\n",
       "               &#x27;1986-09-09&#x27;, &#x27;1986-09-30&#x27;, &#x27;1986-10-10&#x27;, &#x27;1986-10-31&#x27;,\n",
       "               &#x27;1986-11-09&#x27;, &#x27;1986-11-30&#x27;, &#x27;1986-12-10&#x27;, &#x27;1986-12-31&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>model</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-abfadd7e-3e08-44ac-9beb-09266f4b7faa' class='xr-index-data-in' type='checkbox'/><label for='index-abfadd7e-3e08-44ac-9beb-09266f4b7faa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;NorESM2-LM&#x27;, &#x27;MRI-ESM2-0&#x27;, &#x27;CanESM5&#x27;, &#x27;CESM2&#x27;, &#x27;BCC-ESM1&#x27;,\n",
       "       &#x27;MPI-ESM-1-2-HAM&#x27;, &#x27;CESM2-WACCM-FV2&#x27;, &#x27;CESM2-FV2&#x27;, &#x27;MPI-ESM1-2-HR&#x27;,\n",
       "       &#x27;MPI-ESM1-2-LR&#x27;, &#x27;CESM2-WACCM&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;model&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-886455a9-a23b-441b-8308-4bccf2df6b8e' class='xr-section-summary-in' type='checkbox'  ><label for='section-886455a9-a23b-441b-8308-4bccf2df6b8e' class='xr-section-summary' >Attributes: <span>(66)</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-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Hybrid-restart from year 1600-01-01 of piControl</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>430335.0</dd><dt><span>cmor_version :</span></dt><dd>3.5.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>creation_date :</span></dt><dd>2019-08-15T14:30:45Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NCC.NorESM2-LM.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>finite-volume grid with 1.9x2.5 degree lat/lon resolution</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-08-15T14:30:45Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway</dd><dt><span>institution_id :</span></dt><dd>NCC</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NCC is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>model_id :</span></dt><dd>NorESM2-LM</dd><dt><span>nominal_resolution :</span></dt><dd>250 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>parent_sub_experiment_id :</span></dt><dd>none</dd><dt><span>parent_time_units :</span></dt><dd>days since 0421-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>aerosol</dd><dt><span>run_variant :</span></dt><dd>N/A</dd><dt><span>source :</span></dt><dd>NorESM2-LM (2017): \n",
       "aerosol: OsloAero\n",
       "atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb)\n",
       "atmosChem: OsloChemSimp\n",
       "land: CLM\n",
       "landIce: CISM\n",
       "ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data])\n",
       "ocnBgchem: HAMOCC\n",
       "seaIce: CICE</dd><dt><span>source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>status :</span></dt><dd>2020-03-25;created; by gcs.cmip6.ldeo@gmail.com</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>AERmon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(24 July 2019) MD5:08e314340b9dd440c36c1b8e484514f4</dd><dt><span>title :</span></dt><dd>NorESM2-LM output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\n",
       "hdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\n",
       "hdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\n",
       "hdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\n",
       "hdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\n",
       "hdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\n",
       "hdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\n",
       "hdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\n",
       "hdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\n",
       "hdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\n",
       "hdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\n",
       "hdl:21.14100/eee79e49-dd70-4d8f-b195-c885aca26e3a\n",
       "hdl:21.14100/7cd2e526-a94c-4004-bfe8-32832a9df6d7\n",
       "hdl:21.14100/b2421ba2-c8c9-44c0-84af-f9b09cb87759\n",
       "hdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\n",
       "hdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\n",
       "hdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07</dd><dt><span>variable_id :</span></dt><dd>od550aer</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>netcdf_tracking_ids :</span></dt><dd>hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\n",
       "hdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\n",
       "hdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\n",
       "hdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\n",
       "hdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\n",
       "hdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\n",
       "hdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\n",
       "hdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\n",
       "hdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\n",
       "hdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\n",
       "hdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\n",
       "hdl:21.14100/eee79e49-dd70-4d8f-b195-c885aca26e3a\n",
       "hdl:21.14100/7cd2e526-a94c-4004-bfe8-32832a9df6d7\n",
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       "hdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\n",
       "hdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\n",
       "hdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07</dd><dt><span>version_id :</span></dt><dd>v20190815</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;od550aer&#x27;]</dd><dt><span>intake_esm_attrs:activity_id :</span></dt><dd>CMIP</dd><dt><span>intake_esm_attrs:institution_id :</span></dt><dd>NCC</dd><dt><span>intake_esm_attrs:source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>intake_esm_attrs:experiment_id :</span></dt><dd>historical</dd><dt><span>intake_esm_attrs:member_id :</span></dt><dd>r1i1p1f1</dd><dt><span>intake_esm_attrs:table_id :</span></dt><dd>AERmon</dd><dt><span>intake_esm_attrs:variable_id :</span></dt><dd>od550aer</dd><dt><span>intake_esm_attrs:grid_label :</span></dt><dd>gn</dd><dt><span>intake_esm_attrs:zstore :</span></dt><dd>gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/historical/r1i1p1f1/AERmon/od550aer/gn/v20190815/</dd><dt><span>intake_esm_attrs:version :</span></dt><dd>20190815</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>zarr</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>CMIP.NCC.NorESM2-LM.historical.AERmon.gn</dd><dt><span>regrid_method :</span></dt><dd>bilinear</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 29MB\n",
       "Dimensions:         (lat: 96, lon: 144, time: 48, model: 11)\n",
       "Coordinates:\n",
       "  * lat             (lat) float64 768B -90.0 -88.11 -86.21 ... 86.21 88.11 90.0\n",
       "  * lon             (lon) float64 1kB 0.0 2.5 5.0 7.5 ... 352.5 355.0 357.5\n",
       "  * time            (time) datetime64[ns] 384B 1985-01-10 ... 1986-12-31\n",
       "    wavelength      (model) float64 88B 550.0 550.0 550.0 ... 550.0 550.0 550.0\n",
       "    member_id       (model) <U8 352B 'r1i1p1f1' 'r1i1p1f1' ... 'r1i1p1f1'\n",
       "    dcpp_init_year  (model) float64 88B nan nan nan nan nan ... nan nan nan nan\n",
       "  * model           (model) object 88B 'NorESM2-LM' ... 'CESM2-WACCM'\n",
       "Data variables:\n",
       "    od550aer        (model, time, lat, lon) float32 29MB dask.array<chunksize=(1, 48, 64, 128), meta=np.ndarray>\n",
       "Attributes: (12/66)\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    Hybrid-restart from year 1600-01-01 of ...\n",
       "    branch_time:                      0.0\n",
       "    branch_time_in_child:             0.0\n",
       "    branch_time_in_parent:            430335.0\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:zstore:          gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/hi...\n",
       "    intake_esm_attrs:version:         20190815\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NCC.NorESM2-LM.historical.AERmon.gn\n",
       "    regrid_method:                    bilinear"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_ds = list(ds_regrid_dict.values())\n",
    "_coord = list(ds_regrid_dict.keys())\n",
    "ds_out_regrid = xr.concat(objs=_ds, dim=_coord, coords=\"all\").rename({'concat_dim':'model'})\n",
    "ds_out_regrid"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "simplified-equivalent",
   "metadata": {},
   "source": [
    "## Compute seasonal mean of all regridded models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "given-stuart",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 223kB\n",
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       "  * season    (season) object 32B &#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;\n",
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       "    od550aer  (season, lat, lon) float32 221kB dask.array&lt;chunksize=(4, 64, 128), meta=np.ndarray&gt;\n",
       "Attributes: (12/66)\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    Hybrid-restart from year 1600-01-01 of ...\n",
       "    branch_time:                      0.0\n",
       "    branch_time_in_child:             0.0\n",
       "    branch_time_in_parent:            430335.0\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:zstore:          gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/hi...\n",
       "    intake_esm_attrs:version:         20190815\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NCC.NorESM2-LM.historical.AERmon.gn\n",
       "    regrid_method:                    bilinear</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-f5a3ced4-f4ec-462b-9a9d-2f465d456dd4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f5a3ced4-f4ec-462b-9a9d-2f465d456dd4' 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'>season</span>: 4</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2b2616c2-18f9-42a1-a010-1eebef1404f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b2616c2-18f9-42a1-a010-1eebef1404f4' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-e2ee312e-61ac-409a-a06a-7e5f8d2f887b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2ee312e-61ac-409a-a06a-7e5f8d2f887b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03d52a06-566a-4a8f-b265-e89703906c87' class='xr-var-data-in' type='checkbox'><label for='data-03d52a06-566a-4a8f-b265-e89703906c87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-d5ea7150-cd24-4fe9-837c-057694268d82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5ea7150-cd24-4fe9-837c-057694268d82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-247ba865-b630-4e90-84b9-1e050b4637e2' class='xr-var-data-in' type='checkbox'><label for='data-247ba865-b630-4e90-84b9-1e050b4637e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</div><input id='attrs-908a6eda-8f2c-42a3-9d7f-66cd83c43457' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-908a6eda-8f2c-42a3-9d7f-66cd83c43457' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d6bfd0b-5b9c-4a87-9857-386f8e34c406' class='xr-var-data-in' type='checkbox'><label for='data-1d6bfd0b-5b9c-4a87-9857-386f8e34c406' 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([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ab20dee-92aa-488f-81db-84b75b8fa5b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2ab20dee-92aa-488f-81db-84b75b8fa5b1' 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>od550aer</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 64, 128), meta=np.ndarray&gt;</div><input id='attrs-1669b78a-f44a-48ef-aa40-5668b25fa776' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1669b78a-f44a-48ef-aa40-5668b25fa776' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98e7d5c8-6e03-43df-862b-b38a6235385a' class='xr-var-data-in' type='checkbox'><label for='data-98e7d5c8-6e03-43df-862b-b38a6235385a' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>comment :</span></dt><dd>AOD from the ambient aerosols (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute &#x27;wavelength: 550nm&#x27;</dd><dt><span>history :</span></dt><dd>2019-08-15T14:30:44Z altered by CMOR: Treated scalar dimension: &#x27;wavelength&#x27;. 2019-08-15T14:30:45Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>long_name :</span></dt><dd>Ambient Aerosol Optical Thickness at 550nm</dd><dt><span>original_name :</span></dt><dd>DOD550</dd><dt><span>standard_name :</span></dt><dd>atmosphere_optical_thickness_due_to_ambient_aerosol_particles</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                        <td> 128.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 96, 144) </td>\n",
       "                        <td> (4, 64, 128) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 230 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "  <text x=\"9.097595\" y=\"109.097595\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,9.097595,109.097595)\">4</text>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-040f2f20-5b45-4b15-85a4-3a57fe29a020' class='xr-section-summary-in' type='checkbox'  ><label for='section-040f2f20-5b45-4b15-85a4-3a57fe29a020' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c44db268-2346-4716-9506-714d2d5c40cb' class='xr-index-data-in' type='checkbox'/><label for='index-c44db268-2346-4716-9506-714d2d5c40cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              -90.0,  -88.10526315789474,  -86.21052631578948,\n",
       "         -84.3157894736842,  -82.42105263157895,  -80.52631578947368,\n",
       "        -78.63157894736842,  -76.73684210526316,  -74.84210526315789,\n",
       "        -72.94736842105263,  -71.05263157894737,  -69.15789473684211,\n",
       "        -67.26315789473685,  -65.36842105263158, -63.473684210526315,\n",
       "       -61.578947368421055, -59.684210526315795,  -57.78947368421053,\n",
       "        -55.89473684210527,               -54.0,  -52.10526315789474,\n",
       "        -50.21052631578947,  -48.31578947368421,  -46.42105263157895,\n",
       "       -44.526315789473685, -42.631578947368425,  -40.73684210526316,\n",
       "         -38.8421052631579,  -36.94736842105264,  -35.05263157894737,\n",
       "        -33.15789473684211, -31.263157894736842, -29.368421052631582,\n",
       "       -27.473684210526322, -25.578947368421055, -23.684210526315795,\n",
       "       -21.789473684210535,  -19.89473684210526,               -18.0,\n",
       "        -16.10526315789474,  -14.21052631578948,  -12.31578947368422,\n",
       "       -10.421052631578945,  -8.526315789473685,  -6.631578947368425,\n",
       "        -4.736842105263165, -2.8421052631579045, -0.9473684210526301,\n",
       "        0.9473684210526301,  2.8421052631578902,    4.73684210526315,\n",
       "         6.631578947368411,   8.526315789473685,  10.421052631578945,\n",
       "        12.315789473684205,  14.210526315789465,  16.105263157894726,\n",
       "                      18.0,   19.89473684210526,   21.78947368421052,\n",
       "         23.68421052631578,   25.57894736842104,  27.473684210526315,\n",
       "        29.368421052631575,  31.263157894736835,  33.157894736842096,\n",
       "        35.052631578947356,   36.94736842105263,   38.84210526315789,\n",
       "         40.73684210526315,   42.63157894736841,   44.52631578947367,\n",
       "         46.42105263157893,   48.31578947368419,   50.21052631578948,\n",
       "         52.10526315789474,                54.0,   55.89473684210526,\n",
       "         57.78947368421052,   59.68421052631578,   61.57894736842104,\n",
       "          63.4736842105263,   65.36842105263156,   67.26315789473682,\n",
       "         69.15789473684211,   71.05263157894737,   72.94736842105263,\n",
       "         74.84210526315789,   76.73684210526315,   78.63157894736841,\n",
       "         80.52631578947367,   82.42105263157893,   84.31578947368419,\n",
       "         86.21052631578945,   88.10526315789474,                90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1892e184-772c-48c9-b167-72603676c3a6' class='xr-index-data-in' type='checkbox'/><label for='index-1892e184-772c-48c9-b167-72603676c3a6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.5,   5.0,   7.5,  10.0,  12.5,  15.0,  17.5,  20.0,  22.5,\n",
       "       ...\n",
       "       335.0, 337.5, 340.0, 342.5, 345.0, 347.5, 350.0, 352.5, 355.0, 357.5],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=144))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-865991f1-bd6b-4043-a8d7-ea22f5adfcd6' class='xr-index-data-in' type='checkbox'/><label for='index-865991f1-bd6b-4043-a8d7-ea22f5adfcd6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36788901-f57f-4aa9-90d8-3b6cc37bf2c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-36788901-f57f-4aa9-90d8-3b6cc37bf2c1' class='xr-section-summary' >Attributes: <span>(66)</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-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Hybrid-restart from year 1600-01-01 of piControl</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>430335.0</dd><dt><span>cmor_version :</span></dt><dd>3.5.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>creation_date :</span></dt><dd>2019-08-15T14:30:45Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NCC.NorESM2-LM.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>finite-volume grid with 1.9x2.5 degree lat/lon resolution</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-08-15T14:30:45Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway</dd><dt><span>institution_id :</span></dt><dd>NCC</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NCC is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>model_id :</span></dt><dd>NorESM2-LM</dd><dt><span>nominal_resolution :</span></dt><dd>250 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>parent_sub_experiment_id :</span></dt><dd>none</dd><dt><span>parent_time_units :</span></dt><dd>days since 0421-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>aerosol</dd><dt><span>run_variant :</span></dt><dd>N/A</dd><dt><span>source :</span></dt><dd>NorESM2-LM (2017): \n",
       "aerosol: OsloAero\n",
       "atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb)\n",
       "atmosChem: OsloChemSimp\n",
       "land: CLM\n",
       "landIce: CISM\n",
       "ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data])\n",
       "ocnBgchem: HAMOCC\n",
       "seaIce: CICE</dd><dt><span>source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>status :</span></dt><dd>2020-03-25;created; by gcs.cmip6.ldeo@gmail.com</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>AERmon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(24 July 2019) MD5:08e314340b9dd440c36c1b8e484514f4</dd><dt><span>title :</span></dt><dd>NorESM2-LM output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\n",
       "hdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\n",
       "hdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\n",
       "hdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\n",
       "hdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\n",
       "hdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\n",
       "hdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\n",
       "hdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\n",
       "hdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\n",
       "hdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\n",
       "hdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\n",
       "hdl:21.14100/eee79e49-dd70-4d8f-b195-c885aca26e3a\n",
       "hdl:21.14100/7cd2e526-a94c-4004-bfe8-32832a9df6d7\n",
       "hdl:21.14100/b2421ba2-c8c9-44c0-84af-f9b09cb87759\n",
       "hdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\n",
       "hdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\n",
       "hdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07</dd><dt><span>variable_id :</span></dt><dd>od550aer</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>netcdf_tracking_ids :</span></dt><dd>hdl:21.14100/efd7a56e-94a8-47f5-b3d8-06ae02268192\n",
       "hdl:21.14100/0c3683e7-1c3f-45d6-bbc7-414f68e7a801\n",
       "hdl:21.14100/a83a3a96-0d16-4f3e-aa88-a68f00e1ce2e\n",
       "hdl:21.14100/7a629db0-dda1-445d-a496-2e77c9c7c20a\n",
       "hdl:21.14100/388888f8-7ee4-467f-aca9-8a6e45361f55\n",
       "hdl:21.14100/7aa3797a-b0e7-427d-a209-efed00cd1724\n",
       "hdl:21.14100/33d3ae45-cb42-47e5-8c08-76df86d298a8\n",
       "hdl:21.14100/10f9c9e3-3d54-494a-b153-ea63c5b584c7\n",
       "hdl:21.14100/2a3a1f67-8890-4e89-b6de-84b2b13cf70e\n",
       "hdl:21.14100/447d4151-8161-461a-a66e-f21144baabf6\n",
       "hdl:21.14100/c1bd13af-f8b2-4b18-bd2c-34b13a4921dc\n",
       "hdl:21.14100/eee79e49-dd70-4d8f-b195-c885aca26e3a\n",
       "hdl:21.14100/7cd2e526-a94c-4004-bfe8-32832a9df6d7\n",
       "hdl:21.14100/b2421ba2-c8c9-44c0-84af-f9b09cb87759\n",
       "hdl:21.14100/f87b3cf5-e68d-40f2-a289-667b4cf7d15f\n",
       "hdl:21.14100/a6542f1a-0567-4e7a-b063-f5609f017d69\n",
       "hdl:21.14100/01e4e8d6-b84e-4d25-9f50-4a9ea5588f07</dd><dt><span>version_id :</span></dt><dd>v20190815</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;od550aer&#x27;]</dd><dt><span>intake_esm_attrs:activity_id :</span></dt><dd>CMIP</dd><dt><span>intake_esm_attrs:institution_id :</span></dt><dd>NCC</dd><dt><span>intake_esm_attrs:source_id :</span></dt><dd>NorESM2-LM</dd><dt><span>intake_esm_attrs:experiment_id :</span></dt><dd>historical</dd><dt><span>intake_esm_attrs:member_id :</span></dt><dd>r1i1p1f1</dd><dt><span>intake_esm_attrs:table_id :</span></dt><dd>AERmon</dd><dt><span>intake_esm_attrs:variable_id :</span></dt><dd>od550aer</dd><dt><span>intake_esm_attrs:grid_label :</span></dt><dd>gn</dd><dt><span>intake_esm_attrs:zstore :</span></dt><dd>gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/historical/r1i1p1f1/AERmon/od550aer/gn/v20190815/</dd><dt><span>intake_esm_attrs:version :</span></dt><dd>20190815</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>zarr</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>CMIP.NCC.NorESM2-LM.historical.AERmon.gn</dd><dt><span>regrid_method :</span></dt><dd>bilinear</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 223kB\n",
       "Dimensions:   (season: 4, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * lat       (lat) float64 768B -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon       (lon) float64 1kB 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * season    (season) object 32B 'DJF' 'JJA' 'MAM' 'SON'\n",
       "Data variables:\n",
       "    od550aer  (season, lat, lon) float32 221kB dask.array<chunksize=(4, 64, 128), meta=np.ndarray>\n",
       "Attributes: (12/66)\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    Hybrid-restart from year 1600-01-01 of ...\n",
       "    branch_time:                      0.0\n",
       "    branch_time_in_child:             0.0\n",
       "    branch_time_in_parent:            430335.0\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:zstore:          gs://cmip6/CMIP6/CMIP/NCC/NorESM2-LM/hi...\n",
       "    intake_esm_attrs:version:         20190815\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NCC.NorESM2-LM.historical.AERmon.gn\n",
       "    regrid_method:                    bilinear"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_seas = ds_out_regrid.mean('model', keep_attrs=True, skipna = True).groupby('time.season').mean('time', keep_attrs=True, skipna = True)\n",
    "ds_seas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "confidential-communications",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<xarray.DataArray 'od550aer' ()> Size: 4B\n",
       " array(0.00279297, dtype=float32),\n",
       " <xarray.DataArray 'od550aer' ()> Size: 4B\n",
       " array(1.4087572, dtype=float32))"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_seas['od550aer'].min().compute(), ds_seas['od550aer'].max().compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "marked-knight",
   "metadata": {},
   "source": [
    "## Save seasonal mean in a new netCDF file "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5fb7ae39-50a6-43ad-ba8f-bcb8545ca2b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PosixPath('../../../../Data_processed')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path_to_save_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "crazy-arbitration",
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = path_to_save_data / 'CMIP6_hist'/'od550aer_seasonal.nc'\n",
    "ds_seas.to_netcdf(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "initial-volleyball",
   "metadata": {},
   "source": [
    "## Visualize final results (seasonal mean for all models)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "affecting-republic",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1850x1050 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "proj_plot = ccrs.Mercator()\n",
    "\n",
    "p = ds_seas['od550aer'].plot(x='lon', y='lat', \n",
    "                             transform=ccrs.PlateCarree(),\n",
    "                             aspect=ds_seas.dims[\"lon\"] / ds_seas.dims[\"lat\"],  # for a sensible figsize\n",
    "                             subplot_kws={\"projection\": proj_plot},\n",
    "                             col='season', col_wrap=2, robust=True, \n",
    "                             cmap='Reds')\n",
    "# We have to set the map's options on all four axes\n",
    "for ax,i in zip(p.axes.flat, ds_seas.season.values):\n",
    "    ax.coastlines()\n",
    "    ax.set_title('Season '+i, fontsize=18)\n",
    "fig = matplotlib.pyplot.gcf()\n",
    "fig.set_size_inches(18.5, 10.5)\n",
    "fig.savefig('od550aer_seasonal_mean.png', dpi=100)"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "7f24944080b15318569c1ef785be98f8dd5a0531d3a23558ab9e7edab213d92e"
  },
  "kernelspec": {
   "display_name": "Python [conda env:pangeo-notebook]",
   "language": "python",
   "name": "conda-env-pangeo-notebook-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}