diff --git a/docs/learning/notebooks/making_a_nice_table_for_michael.ipynb b/docs/learning/notebooks/making_a_nice_table_for_michael.ipynb
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+++ b/docs/learning/notebooks/making_a_nice_table_for_michael.ipynb
@@ -0,0 +1,2683 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a3c14f42-3116-428d-9103-85198c40d34b",
+   "metadata": {},
+   "source": [
+    "# Making a nice table "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "72775985-b77d-4217-9ac5-bb2ae989e433",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "xr.set_options(display_style='html')\n",
+    "import intake\n",
+    "import cftime\n",
+    "import matplotlib.pyplot as plt\n",
+    "import cartopy.crs as ccrs\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import datetime\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "8f12259a-c66c-4257-8f94-b5131336e8c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def global_mean(ds):\n",
+    "    if 'lat' in ds:\n",
+    "        la = 'lat'\n",
+    "        lo = 'lon'\n",
+    "        weights = np.cos(np.deg2rad(ds.lat))\n",
+    "    elif 'latitude' in ds:\n",
+    "        weights = np.cos(np.deg2rad(ds.latitude))\n",
+    "        la = 'latitude'\n",
+    "        lo = 'longitude'\n",
+    "    else:\n",
+    "        weights = np.cos(np.deg2rad(ds.lat))\n",
+    "        \n",
+    "    return ds.weighted(weights).mean(la)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "002f95b0-bc05-4072-9c48-5544a3d63c77",
+   "metadata": {
+    "tags": []
+   },
+   "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>variable_id</th>\n",
+       "      <th>table_id</th>\n",
+       "      <th>source_id</th>\n",
+       "      <th>experiment_id</th>\n",
+       "      <th>member_id</th>\n",
+       "      <th>grid_label</th>\n",
+       "      <th>time_range</th>\n",
+       "      <th>activity_id</th>\n",
+       "      <th>institution_id</th>\n",
+       "      <th>version</th>\n",
+       "      <th>path</th>\n",
+       "      <th>dcpp_init_year</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>tas</td>\n",
+       "      <td>Amon</td>\n",
+       "      <td>CanESM5-1</td>\n",
+       "      <td>historical</td>\n",
+       "      <td>r1i1p1f1</td>\n",
+       "      <td>gn</td>\n",
+       "      <td>185001-201412</td>\n",
+       "      <td>CMIP</td>\n",
+       "      <td>CCCma</td>\n",
+       "      <td>v20190429</td>\n",
+       "      <td>/mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/CC...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>clt</td>\n",
+       "      <td>Amon</td>\n",
+       "      <td>E3SM-1-0</td>\n",
+       "      <td>historical</td>\n",
+       "      <td>r1i1p1f1</td>\n",
+       "      <td>gr</td>\n",
+       "      <td>185001-187412</td>\n",
+       "      <td>CMIP</td>\n",
+       "      <td>E3SM-Project</td>\n",
+       "      <td>v20190913</td>\n",
+       "      <td>/mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/E3...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>clt</td>\n",
+       "      <td>Amon</td>\n",
+       "      <td>E3SM-1-0</td>\n",
+       "      <td>historical</td>\n",
+       "      <td>r1i1p1f1</td>\n",
+       "      <td>gr</td>\n",
+       "      <td>187501-189912</td>\n",
+       "      <td>CMIP</td>\n",
+       "      <td>E3SM-Project</td>\n",
+       "      <td>v20190913</td>\n",
+       "      <td>/mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/E3...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>clt</td>\n",
+       "      <td>Amon</td>\n",
+       "      <td>E3SM-1-0</td>\n",
+       "      <td>historical</td>\n",
+       "      <td>r1i1p1f1</td>\n",
+       "      <td>gr</td>\n",
+       "      <td>190001-192412</td>\n",
+       "      <td>CMIP</td>\n",
+       "      <td>E3SM-Project</td>\n",
+       "      <td>v20190913</td>\n",
+       "      <td>/mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/E3...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>clt</td>\n",
+       "      <td>Amon</td>\n",
+       "      <td>E3SM-1-0</td>\n",
+       "      <td>historical</td>\n",
+       "      <td>r1i1p1f1</td>\n",
+       "      <td>gr</td>\n",
+       "      <td>192501-194912</td>\n",
+       "      <td>CMIP</td>\n",
+       "      <td>E3SM-Project</td>\n",
+       "      <td>v20190913</td>\n",
+       "      <td>/mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/E3...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  variable_id table_id  source_id experiment_id member_id grid_label  \\\n",
+       "0         tas     Amon  CanESM5-1    historical  r1i1p1f1         gn   \n",
+       "1         clt     Amon   E3SM-1-0    historical  r1i1p1f1         gr   \n",
+       "2         clt     Amon   E3SM-1-0    historical  r1i1p1f1         gr   \n",
+       "3         clt     Amon   E3SM-1-0    historical  r1i1p1f1         gr   \n",
+       "4         clt     Amon   E3SM-1-0    historical  r1i1p1f1         gr   \n",
+       "\n",
+       "      time_range activity_id institution_id    version  \\\n",
+       "0  185001-201412        CMIP          CCCma  v20190429   \n",
+       "1  185001-187412        CMIP   E3SM-Project  v20190913   \n",
+       "2  187501-189912        CMIP   E3SM-Project  v20190913   \n",
+       "3  190001-192412        CMIP   E3SM-Project  v20190913   \n",
+       "4  192501-194912        CMIP   E3SM-Project  v20190913   \n",
+       "\n",
+       "                                                path  dcpp_init_year  \n",
+       "0  /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/CC...             NaN  \n",
+       "1  /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/E3...             NaN  \n",
+       "2  /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/E3...             NaN  \n",
+       "3  /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/E3...             NaN  \n",
+       "4  /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/E3...             NaN  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#cat_url = \"https://storage.googleapis.com/cmip6/pangeo-cmip6.json\"\n",
+    "#cat_url = \"/mnt/craas1-ns9989k-geo4992/data/cmip6.json\"\n",
+    "cat_url = '/mnt/craas1-ns9989k-geo4992/data/catalogs/cmip6.json'\n",
+    "col = intake.open_esm_datastore(cat_url)\n",
+    "col\n",
+    "varl = ['tas','clt']\n",
+    "\n",
+    "models = ['CESM2','CanESM5-1','EC-Earth3-Veg-LR','GISS-E2-2-H','E3SM-1-0']\n",
+    "cat = col.search(source_id = models, \n",
+    "                 experiment_id=['historical'], \n",
+    "                 table_id=['Amon',], \n",
+    "                 variable_id=varl, \n",
+    "                 member_id=['r1i1p1f1'],\n",
+    "                )\n",
+    "cat.df.head()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "0a2ee2ab-4ac7-4e19-a833-3dec2dddaf24",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['CanESM5-1', 'E3SM-1-0', 'EC-Earth3-Veg-LR', 'GISS-E2-2-H',\n",
+       "       'CESM2'], dtype=object)"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cat.df['source_id'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "f9c02c24-763c-4bfe-915d-cd51433b7285",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['activity_id', 'experiment_id', 'source_id', 'table_id', 'grid_label']"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cat.esmcat.aggregation_control.groupby_attrs = ['activity_id','experiment_id', 'source_id','table_id','grid_label']\n",
+    "cat.esmcat.aggregation_control.groupby_attrs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91058183-9ced-4f4c-bba1-844dbeca0cd4",
+   "metadata": {},
+   "source": [
+    "### Create dictionary from the list of datasets we found\n",
+    "- This step may take several minutes so be patient!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "e6d44011-694b-4dc5-931e-b923ac0edf5f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
+      "\t'activity_id.experiment_id.source_id.table_id.grid_label'\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+       "    }\n",
+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "        background: #F44336;\n",
+       "    }\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='5' class='' max='5' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [5/5 00:30&lt;00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/envs/pangeo-notebook/lib/python3.11/site-packages/xarray/conventions.py:286: SerializationWarning: variable 'clt' has multiple fill values {1e+20, 1e+20} defined, decoding all values to NaN.\n",
+      "  var = coder.decode(var, name=name)\n",
+      "/opt/conda/envs/pangeo-notebook/lib/python3.11/site-packages/xarray/conventions.py:286: SerializationWarning: variable 'tas' has multiple fill values {1e+20, 1e+20} defined, decoding all values to NaN.\n",
+      "  var = coder.decode(var, name=name)\n"
+     ]
+    }
+   ],
+   "source": [
+    "dset_dict = cat.to_dataset_dict(zarr_kwargs={'use_cftime':True})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "6b7dcb7e-b89b-4709-b046-0345e40235dc",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['CMIP.historical.CanESM5-1.Amon.gn',\n",
+       " 'CMIP.historical.GISS-E2-2-H.Amon.gn',\n",
+       " 'CMIP.historical.CESM2.Amon.gn',\n",
+       " 'CMIP.historical.E3SM-1-0.Amon.gr',\n",
+       " 'CMIP.historical.EC-Earth3-Veg-LR.Amon.gr']"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list(dset_dict.keys())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e60a8de2-cc32-4dbc-a5e9-3a3436901c6d",
+   "metadata": {},
+   "source": [
+    "### simplify keys:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "757e956e-c607-49d6-a04c-17cd412dd108",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_dict = {}\n",
+    "for k in dset_dict.keys():\n",
+    "    mod = k.split('.')[2]\n",
+    "    ds_dict[mod] = dset_dict[k]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1680308a-cf31-42fb-8090-7533885eeb43",
+   "metadata": {},
+   "source": [
+    "## Compute global mean (replace by whatever you want to calculate)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "38224fb5-ecd0-4ecf-80fe-b2127febfecf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-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: 65MB\n",
+       "Dimensions:    (time: 1980, bnds: 2, lat: 64, lon: 128, member_id: 1)\n",
+       "Coordinates:\n",
+       "  * time       (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
+       "  * lat        (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+       "  * lon        (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+       "    height     float64 8B ...\n",
+       "  * member_id  (member_id) object 8B &#x27;r1i1p1f1&#x27;\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) object 32kB dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
+       "    lat_bnds   (lat, bnds) float64 1kB dask.array&lt;chunksize=(64, 2), meta=np.ndarray&gt;\n",
+       "    lon_bnds   (lon, bnds) float64 2kB dask.array&lt;chunksize=(128, 2), meta=np.ndarray&gt;\n",
+       "    tas        (member_id, time, lat, lon) float32 65MB dask.array&lt;chunksize=(1, 1, 64, 128), meta=np.ndarray&gt;\n",
+       "Attributes: (12/67)\n",
+       "    CCCma_model_hash:                 c8708a7ff559a1daeee0b713f94508a26a04c6b7\n",
+       "    CCCma_parent_runid:               v510b-pict\n",
+       "    CCCma_pycmor_hash:                0db7dba6172f1fb31dd9a4af1ae40a53189337ea\n",
+       "    CCCma_runid:                      v5.1-histens-01\n",
+       "    Conventions:                      CF-1.7 CMIP-6.2\n",
+       "    YMDH_branch_time_in_child:        1850:01:01:00\n",
+       "    ...                               ...\n",
+       "    intake_esm_attrs:activity_id:     CMIP\n",
+       "    intake_esm_attrs:institution_id:  CCCma\n",
+       "    intake_esm_attrs:version:         v20190429\n",
+       "    intake_esm_attrs:path:            /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/...\n",
+       "    intake_esm_attrs:_data_format_:   netcdf\n",
+       "    intake_esm_dataset_key:           CMIP.historical.CanESM5-1.Amon.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-861da971-31fd-4641-8d30-b6d6b9291d4d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-861da971-31fd-4641-8d30-b6d6b9291d4d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1980</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li><li><span class='xr-has-index'>member_id</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cf3630fa-e3aa-420b-81f9-cea204500624' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf3630fa-e3aa-420b-81f9-cea204500624' class='xr-section-summary' >Coordinates: <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-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-08eb3ef9-40a1-4a32-a87d-f87020532384' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08eb3ef9-40a1-4a32-a87d-f87020532384' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-961ad256-9bf9-4e5e-a868-c2d0204165e9' class='xr-var-data-in' type='checkbox'><label for='data-961ad256-9bf9-4e5e-a868-c2d0204165e9' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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 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'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-7067f1c9-cf40-4d43-9ced-b92fa3d119dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7067f1c9-cf40-4d43-9ced-b92fa3d119dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fffa48f7-a22d-4be0-917e-e05c1d2c1ea8' class='xr-var-data-in' type='checkbox'><label for='data-fffa48f7-a22d-4be0-917e-e05c1d2c1ea8' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
+       "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
+       "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
+       "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
+       "       -20.929574, -18.138971, -15.348365, -12.557756,  -9.767146,  -6.976534,\n",
+       "        -4.185921,  -1.395307,   1.395307,   4.185921,   6.976534,   9.767146,\n",
+       "        12.557756,  15.348365,  18.138971,  20.929574,  23.720174,  26.510769,\n",
+       "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
+       "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
+       "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
+       "        79.525607,  82.312913,  85.096527,  87.863799])</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 2.812 5.625 ... 354.4 357.2</div><input id='attrs-e39e4557-f01f-4b54-9e44-d8a364607e8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e39e4557-f01f-4b54-9e44-d8a364607e8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07008866-cb31-49b1-8e01-93f2300ae289' class='xr-var-data-in' type='checkbox'><label for='data-07008866-cb31-49b1-8e01-93f2300ae289' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
+       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
+       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
+       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
+       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
+       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
+       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
+       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
+       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
+       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
+       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
+       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
+       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
+       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
+       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
+       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
+       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
+       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
+       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</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-12fdd5e6-fe8d-4b4d-a477-e87fd34b796f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12fdd5e6-fe8d-4b4d-a477-e87fd34b796f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09725272-6021-435b-b479-c57fe5705f45' class='xr-var-data-in' type='checkbox'><label for='data-09725272-6021-435b-b479-c57fe5705f45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</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-d97f402c-94cc-4ff8-bc79-bfd7ecf744ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d97f402c-94cc-4ff8-bc79-bfd7ecf744ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b851d45-c54a-4bbd-8d39-20b7daa70ceb' class='xr-var-data-in' type='checkbox'><label for='data-9b851d45-c54a-4bbd-8d39-20b7daa70ceb' 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></ul></div></li><li class='xr-section-item'><input id='section-83b5dd5a-fb5e-4a28-a942-3a3829c6f2fd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83b5dd5a-fb5e-4a28-a942-3a3829c6f2fd' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-27bc7d6d-b4b7-4049-a0ad-004fc45d4973' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27bc7d6d-b4b7-4049-a0ad-004fc45d4973' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64869f53-3ef3-46d9-bf32-ba89d2fa075f' class='xr-var-data-in' type='checkbox'><label for='data-64869f53-3ef3-46d9-bf32-ba89d2fa075f' 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_methods :</span></dt><dd>time: mean</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> 30.94 kiB </td>\n",
+       "                        <td> 16 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (1980, 2) </td>\n",
+       "                        <td> (1, 2) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1980 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",
+       "  <line x1=\"0\" y1=\"6\" x2=\"25\" y2=\"6\" />\n",
+       "  <line x1=\"0\" y1=\"12\" x2=\"25\" y2=\"12\" />\n",
+       "  <line x1=\"0\" y1=\"18\" x2=\"25\" y2=\"18\" />\n",
+       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" />\n",
+       "  <line x1=\"0\" y1=\"31\" x2=\"25\" y2=\"31\" />\n",
+       "  <line x1=\"0\" y1=\"37\" x2=\"25\" y2=\"37\" />\n",
+       "  <line x1=\"0\" y1=\"44\" x2=\"25\" y2=\"44\" />\n",
+       "  <line x1=\"0\" y1=\"50\" x2=\"25\" y2=\"50\" />\n",
+       "  <line x1=\"0\" y1=\"56\" x2=\"25\" y2=\"56\" />\n",
+       "  <line x1=\"0\" y1=\"63\" x2=\"25\" y2=\"63\" />\n",
+       "  <line x1=\"0\" y1=\"69\" x2=\"25\" y2=\"69\" />\n",
+       "  <line x1=\"0\" y1=\"75\" x2=\"25\" y2=\"75\" />\n",
+       "  <line x1=\"0\" y1=\"82\" x2=\"25\" y2=\"82\" />\n",
+       "  <line x1=\"0\" y1=\"88\" x2=\"25\" y2=\"88\" />\n",
+       "  <line x1=\"0\" y1=\"94\" x2=\"25\" y2=\"94\" />\n",
+       "  <line x1=\"0\" y1=\"101\" x2=\"25\" y2=\"101\" />\n",
+       "  <line x1=\"0\" y1=\"107\" x2=\"25\" y2=\"107\" />\n",
+       "  <line x1=\"0\" y1=\"113\" x2=\"25\" y2=\"113\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
+       "\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>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=(64, 2), meta=np.ndarray&gt;</div><input id='attrs-e97f7c25-8c1a-498c-901f-472a0aaf2973' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e97f7c25-8c1a-498c-901f-472a0aaf2973' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d59c0612-39d4-4338-adba-3a4f77da50ab' class='xr-var-data-in' type='checkbox'><label for='data-d59c0612-39d4-4338-adba-3a4f77da50ab' 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> 1.00 kiB </td>\n",
+       "                        <td> 1.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (64, 2) </td>\n",
+       "                        <td> (64, 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=\"81\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"31\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"31\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"31\" y1=\"0\" x2=\"31\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 31.635229193102678,0.0 31.635229193102678,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"15.817615\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
+       "  <text x=\"51.635229\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,51.635229,60.000000)\">64</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></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=(128, 2), meta=np.ndarray&gt;</div><input id='attrs-b81d2fc1-70ce-42d0-9154-2329e213a1d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b81d2fc1-70ce-42d0-9154-2329e213a1d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ed91400-6f21-4a7f-a65e-6d2fd0a4fdd9' class='xr-var-data-in' type='checkbox'><label for='data-8ed91400-6f21-4a7f-a65e-6d2fd0a4fdd9' 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> 2.00 kiB </td>\n",
+       "                        <td> 2.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (128, 2) </td>\n",
+       "                        <td> (128, 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",
+       "  <line x1=\"0\" y1=\"120\" x2=\"27\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 27.675387197907465,0.0 27.675387197907465,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"13.837694\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
+       "  <text x=\"47.675387\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,47.675387,60.000000)\">128</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(member_id, time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 64, 128), meta=np.ndarray&gt;</div><input id='attrs-d244e27a-6363-480c-a4b7-cc5d6f38b0b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d244e27a-6363-480c-a4b7-cc5d6f38b0b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9a79d59-e726-4cc0-a860-a5f0a8438c69' class='xr-var-data-in' type='checkbox'><label for='data-e9a79d59-e726-4cc0-a860-a5f0a8438c69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>ST+273.16, CMIP_table_comment: near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>history :</span></dt><dd>degctok 2022-11-22T02:06:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2022-11-22T02:06:26Z altered by CMOR: Reordered dimensions, original order: lat lon time. 2022-11-22T02:06:26Z altered by CMOR: replaced missing value flag (1e+38) and corresponding data with standard missing value (1e+20).</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><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> 61.88 MiB </td>\n",
+       "                        <td> 32.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (1, 1980, 64, 128) </td>\n",
+       "                        <td> (1, 1, 64, 128) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1980 chunks in 3 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",
+       "        <svg width=\"346\" height=\"152\" 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=\"25\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
+       "\n",
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+       "\n",
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+       "\n",
+       "\n",
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+       "  <text x=\"120.294118\" y=\"87.132647\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,120.294118,87.132647)\">1980</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-03933b6b-4061-4bcf-9e9b-c91506d1f620' class='xr-section-summary-in' type='checkbox'  ><label for='section-03933b6b-4061-4bcf-9e9b-c91506d1f620' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fa3f1fe1-f444-4b3b-bf41-13c8fab9b320' class='xr-index-data-in' type='checkbox'/><label for='index-fa3f1fe1-f444-4b3b-bf41-13c8fab9b320' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5b86e4a-b850-46e6-98d0-30e39de306fd' class='xr-index-data-in' type='checkbox'/><label for='index-f5b86e4a-b850-46e6-98d0-30e39de306fd' 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([ -87.86379883923273,  -85.09652698831745,  -82.31291294788636,\n",
+       "        -79.52560657265951,   -76.7368996803684,  -73.94751515398974,\n",
+       "        -71.15775201158739,  -68.36775610831324,  -65.57760701082788,\n",
+       "        -62.78735179896313, -59.997020108491355,   -57.2066315276433,\n",
+       "        -54.41619952608627, -51.625733674938296,  -48.83524096625064,\n",
+       "       -46.044726631101724,  -43.25419466535099,  -40.46364817811508,\n",
+       "        -37.67308962904537,   -34.8825209937735, -32.091943881744044,\n",
+       "       -29.301359621762764, -26.510769325211022,  -23.72017393353477,\n",
+       "        -20.92957425448953, -18.138970990239372, -15.348364759491508,\n",
+       "        -12.55775611523069,  -9.767145559195578,  -6.976533553948642,\n",
+       "        -4.185920533189158, -1.3953069108194975,  1.3953069108194975,\n",
+       "         4.185920533189158,   6.976533553948642,   9.767145559195578,\n",
+       "         12.55775611523069,  15.348364759491508,  18.138970990239372,\n",
+       "         20.92957425448953,   23.72017393353477,  26.510769325211022,\n",
+       "        29.301359621762764,  32.091943881744044,    34.8825209937735,\n",
+       "         37.67308962904537,   40.46364817811508,   43.25419466535099,\n",
+       "        46.044726631101724,   48.83524096625064,  51.625733674938296,\n",
+       "         54.41619952608627,    57.2066315276433,  59.997020108491355,\n",
+       "         62.78735179896313,   65.57760701082788,   68.36775610831324,\n",
+       "         71.15775201158739,   73.94751515398974,    76.7368996803684,\n",
+       "         79.52560657265951,   82.31291294788636,   85.09652698831745,\n",
+       "         87.86379883923273],\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-491dd55a-074c-4f80-a2bd-ad1f31489800' class='xr-index-data-in' type='checkbox'/><label for='index-491dd55a-074c-4f80-a2bd-ad1f31489800' 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,   2.8125,    5.625,   8.4375,    11.25,  14.0625,   16.875,\n",
+       "        19.6875,     22.5,  25.3125,\n",
+       "       ...\n",
+       "        331.875, 334.6875,    337.5, 340.3125,  343.125, 345.9375,   348.75,\n",
+       "       351.5625,  354.375, 357.1875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=128))</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-2b36ab26-83ad-4cb0-9dc4-c8c63ebad006' class='xr-index-data-in' type='checkbox'/><label for='index-2b36ab26-83ad-4cb0-9dc4-c8c63ebad006' 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></ul></div></li><li class='xr-section-item'><input id='section-4979db18-0370-4ccb-bd63-b2e48fb3cd82' class='xr-section-summary-in' type='checkbox'  ><label for='section-4979db18-0370-4ccb-bd63-b2e48fb3cd82' class='xr-section-summary' >Attributes: <span>(67)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CCCma_model_hash :</span></dt><dd>c8708a7ff559a1daeee0b713f94508a26a04c6b7</dd><dt><span>CCCma_parent_runid :</span></dt><dd>v510b-pict</dd><dt><span>CCCma_pycmor_hash :</span></dt><dd>0db7dba6172f1fb31dd9a4af1ae40a53189337ea</dd><dt><span>CCCma_runid :</span></dt><dd>v5.1-histens-01</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>YMDH_branch_time_in_child :</span></dt><dd>1850:01:01:00</dd><dt><span>YMDH_branch_time_in_parent :</span></dt><dd>6010:01:01:00</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Spin-up documentation</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>1518400.0</dd><dt><span>contact :</span></dt><dd>f.cccma.info-info.ccmac.f@ec.gc.ca</dd><dt><span>creation_date :</span></dt><dd>2022-11-22T02:06:26Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.33</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.CCCma.CanESM5-1.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2022-11-22T02:06:26Z ;rewrote data to be consistent with CMIP for variable tas found in table Amon.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 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>CanESM5-1</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01 0:0:0.0</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>atmos</dd><dt><span>references :</span></dt><dd>Geoscientific Model Development Special issue on CanESM5 (https://www.geosci-model-dev.net/special_issue989.html)</dd><dt><span>source :</span></dt><dd>CanESM5.1 (2022): \n",
+       "aerosol: interactive\n",
+       "atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
+       "atmosChem: specified oxidants for aerosols\n",
+       "land: CLASS3.6/CTEM1.2\n",
+       "landIce: specified ice sheets\n",
+       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
+       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
+       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5-1</dd><dt><span>source_type :</span></dt><dd>AOGCM</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>Amon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(18 November 2020) MD5:85e53552ecb33e74760ede2e723d3d22</dd><dt><span>title :</span></dt><dd>CanESM5-1 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/efe49ede-6974-4bd3-a1cd-d824fe7db2cb</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution 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>cmor_version :</span></dt><dd>3.5.0</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;tas&#x27;]</dd><dt><span>intake_esm_attrs:variable_id :</span></dt><dd>tas</dd><dt><span>intake_esm_attrs:table_id :</span></dt><dd>Amon</dd><dt><span>intake_esm_attrs:source_id :</span></dt><dd>CanESM5-1</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:grid_label :</span></dt><dd>gn</dd><dt><span>intake_esm_attrs:time_range :</span></dt><dd>185001-201412</dd><dt><span>intake_esm_attrs:activity_id :</span></dt><dd>CMIP</dd><dt><span>intake_esm_attrs:institution_id :</span></dt><dd>CCCma</dd><dt><span>intake_esm_attrs:version :</span></dt><dd>v20190429</dd><dt><span>intake_esm_attrs:path :</span></dt><dd>/mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/CCCma/CanESM5-1/historical/r1i1p1f1/Amon/tas/gn/v20190429/tas_Amon_CanESM5-1_historical_r1i1p1f1_gn_185001-201412.nc</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>CMIP.historical.CanESM5-1.Amon.gn</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 65MB\n",
+       "Dimensions:    (time: 1980, bnds: 2, lat: 64, lon: 128, member_id: 1)\n",
+       "Coordinates:\n",
+       "  * time       (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
+       "  * lat        (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+       "  * lon        (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+       "    height     float64 8B ...\n",
+       "  * member_id  (member_id) object 8B 'r1i1p1f1'\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) object 32kB dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
+       "    lat_bnds   (lat, bnds) float64 1kB dask.array<chunksize=(64, 2), meta=np.ndarray>\n",
+       "    lon_bnds   (lon, bnds) float64 2kB dask.array<chunksize=(128, 2), meta=np.ndarray>\n",
+       "    tas        (member_id, time, lat, lon) float32 65MB dask.array<chunksize=(1, 1, 64, 128), meta=np.ndarray>\n",
+       "Attributes: (12/67)\n",
+       "    CCCma_model_hash:                 c8708a7ff559a1daeee0b713f94508a26a04c6b7\n",
+       "    CCCma_parent_runid:               v510b-pict\n",
+       "    CCCma_pycmor_hash:                0db7dba6172f1fb31dd9a4af1ae40a53189337ea\n",
+       "    CCCma_runid:                      v5.1-histens-01\n",
+       "    Conventions:                      CF-1.7 CMIP-6.2\n",
+       "    YMDH_branch_time_in_child:        1850:01:01:00\n",
+       "    ...                               ...\n",
+       "    intake_esm_attrs:activity_id:     CMIP\n",
+       "    intake_esm_attrs:institution_id:  CCCma\n",
+       "    intake_esm_attrs:version:         v20190429\n",
+       "    intake_esm_attrs:path:            /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/...\n",
+       "    intake_esm_attrs:_data_format_:   netcdf\n",
+       "    intake_esm_dataset_key:           CMIP.historical.CanESM5-1.Amon.gn"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "_ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "e4704f8a-64b2-4fbf-b223-bbf62db6c90b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
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+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
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+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
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+       "  padding-right: 10px;\n",
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+       "\n",
+       ".xr-attrs dd {\n",
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+       "  white-space: pre-wrap;\n",
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+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
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+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 65MB\n",
+       "Dimensions:    (time: 1980, bnds: 2, lat: 64, lon: 128, member_id: 1)\n",
+       "Coordinates:\n",
+       "  * time       (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
+       "  * lat        (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+       "  * lon        (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+       "    height     float64 8B ...\n",
+       "  * member_id  (member_id) object 8B &#x27;r1i1p1f1&#x27;\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) object 32kB dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
+       "    lat_bnds   (lat, bnds) float64 1kB dask.array&lt;chunksize=(64, 2), meta=np.ndarray&gt;\n",
+       "    lon_bnds   (lon, bnds) float64 2kB dask.array&lt;chunksize=(128, 2), meta=np.ndarray&gt;\n",
+       "    tas        (member_id, time, lat, lon) float32 65MB dask.array&lt;chunksize=(1, 1, 64, 128), meta=np.ndarray&gt;\n",
+       "Attributes: (12/67)\n",
+       "    CCCma_model_hash:                 c8708a7ff559a1daeee0b713f94508a26a04c6b7\n",
+       "    CCCma_parent_runid:               v510b-pict\n",
+       "    CCCma_pycmor_hash:                0db7dba6172f1fb31dd9a4af1ae40a53189337ea\n",
+       "    CCCma_runid:                      v5.1-histens-01\n",
+       "    Conventions:                      CF-1.7 CMIP-6.2\n",
+       "    YMDH_branch_time_in_child:        1850:01:01:00\n",
+       "    ...                               ...\n",
+       "    intake_esm_attrs:activity_id:     CMIP\n",
+       "    intake_esm_attrs:institution_id:  CCCma\n",
+       "    intake_esm_attrs:version:         v20190429\n",
+       "    intake_esm_attrs:path:            /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/...\n",
+       "    intake_esm_attrs:_data_format_:   netcdf\n",
+       "    intake_esm_dataset_key:           CMIP.historical.CanESM5-1.Amon.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-0892890d-c235-46ad-b45c-e264b518985f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0892890d-c235-46ad-b45c-e264b518985f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1980</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li><li><span class='xr-has-index'>member_id</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f222f26-7e83-49ee-ace9-c694f75cb65d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f222f26-7e83-49ee-ace9-c694f75cb65d' class='xr-section-summary' >Coordinates: <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-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-f24f0ec2-743c-4ba6-b9f4-44c808818fc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f24f0ec2-743c-4ba6-b9f4-44c808818fc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d074a48-75e1-4e53-bb3d-2fae80d2ca7d' class='xr-var-data-in' type='checkbox'><label for='data-6d074a48-75e1-4e53-bb3d-2fae80d2ca7d' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>cell_methods :</span></dt><dd>time: mean</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 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'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-762ef780-a8c4-41a7-9a61-72fd22cc800d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-762ef780-a8c4-41a7-9a61-72fd22cc800d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c605bcb3-c04b-4fe4-a11f-886ef6384165' class='xr-var-data-in' type='checkbox'><label for='data-c605bcb3-c04b-4fe4-a11f-886ef6384165' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
+       "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
+       "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
+       "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
+       "       -20.929574, -18.138971, -15.348365, -12.557756,  -9.767146,  -6.976534,\n",
+       "        -4.185921,  -1.395307,   1.395307,   4.185921,   6.976534,   9.767146,\n",
+       "        12.557756,  15.348365,  18.138971,  20.929574,  23.720174,  26.510769,\n",
+       "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
+       "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
+       "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
+       "        79.525607,  82.312913,  85.096527,  87.863799])</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 2.812 5.625 ... 354.4 357.2</div><input id='attrs-005fa99a-47d1-47b4-aa4b-05966e486fa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-005fa99a-47d1-47b4-aa4b-05966e486fa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24660f6d-97f4-452e-b1e0-4d7664975376' class='xr-var-data-in' type='checkbox'><label for='data-24660f6d-97f4-452e-b1e0-4d7664975376' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
+       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
+       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
+       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
+       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
+       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
+       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
+       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
+       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
+       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
+       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
+       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
+       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
+       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
+       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
+       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
+       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
+       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
+       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</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-96d53850-5614-40cc-ab2b-163b765036f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96d53850-5614-40cc-ab2b-163b765036f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a318e24-bc0b-4d8d-8b62-347166869066' class='xr-var-data-in' type='checkbox'><label for='data-6a318e24-bc0b-4d8d-8b62-347166869066' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</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-469e5294-7933-4132-99f3-d751f0635352' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-469e5294-7933-4132-99f3-d751f0635352' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a61ab4-e57e-40ca-992e-d255298bc3fc' class='xr-var-data-in' type='checkbox'><label for='data-30a61ab4-e57e-40ca-992e-d255298bc3fc' 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></ul></div></li><li class='xr-section-item'><input id='section-be799815-8b03-4af2-abea-4d37f9533eec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-be799815-8b03-4af2-abea-4d37f9533eec' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-3828cb8b-dd03-4aa2-ac33-da55a0b5ea98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3828cb8b-dd03-4aa2-ac33-da55a0b5ea98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35fd04cb-cb64-44cb-aae1-9ed34aacdaac' class='xr-var-data-in' type='checkbox'><label for='data-35fd04cb-cb64-44cb-aae1-9ed34aacdaac' 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_methods :</span></dt><dd>time: mean</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> 30.94 kiB </td>\n",
+       "                        <td> 16 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (1980, 2) </td>\n",
+       "                        <td> (1, 2) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1980 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",
+       "  <line x1=\"0\" y1=\"6\" x2=\"25\" y2=\"6\" />\n",
+       "  <line x1=\"0\" y1=\"12\" x2=\"25\" y2=\"12\" />\n",
+       "  <line x1=\"0\" y1=\"18\" x2=\"25\" y2=\"18\" />\n",
+       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" />\n",
+       "  <line x1=\"0\" y1=\"31\" x2=\"25\" y2=\"31\" />\n",
+       "  <line x1=\"0\" y1=\"37\" x2=\"25\" y2=\"37\" />\n",
+       "  <line x1=\"0\" y1=\"44\" x2=\"25\" y2=\"44\" />\n",
+       "  <line x1=\"0\" y1=\"50\" x2=\"25\" y2=\"50\" />\n",
+       "  <line x1=\"0\" y1=\"56\" x2=\"25\" y2=\"56\" />\n",
+       "  <line x1=\"0\" y1=\"63\" x2=\"25\" y2=\"63\" />\n",
+       "  <line x1=\"0\" y1=\"69\" x2=\"25\" y2=\"69\" />\n",
+       "  <line x1=\"0\" y1=\"75\" x2=\"25\" y2=\"75\" />\n",
+       "  <line x1=\"0\" y1=\"82\" x2=\"25\" y2=\"82\" />\n",
+       "  <line x1=\"0\" y1=\"88\" x2=\"25\" y2=\"88\" />\n",
+       "  <line x1=\"0\" y1=\"94\" x2=\"25\" y2=\"94\" />\n",
+       "  <line x1=\"0\" y1=\"101\" x2=\"25\" y2=\"101\" />\n",
+       "  <line x1=\"0\" y1=\"107\" x2=\"25\" y2=\"107\" />\n",
+       "  <line x1=\"0\" y1=\"113\" x2=\"25\" y2=\"113\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
+       "\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>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=(64, 2), meta=np.ndarray&gt;</div><input id='attrs-45c30bf5-c909-43ea-aa67-e7e9970cb470' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45c30bf5-c909-43ea-aa67-e7e9970cb470' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f498d81-8002-4711-810f-116077635de0' class='xr-var-data-in' type='checkbox'><label for='data-0f498d81-8002-4711-810f-116077635de0' 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> 1.00 kiB </td>\n",
+       "                        <td> 1.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (64, 2) </td>\n",
+       "                        <td> (64, 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=\"81\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"31\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"120\" x2=\"31\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"31\" y1=\"0\" x2=\"31\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 31.635229193102678,0.0 31.635229193102678,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"15.817615\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
+       "  <text x=\"51.635229\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,51.635229,60.000000)\">64</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></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=(128, 2), meta=np.ndarray&gt;</div><input id='attrs-8e6bd40c-ffe4-4366-a9ca-f1b8b4d169ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e6bd40c-ffe4-4366-a9ca-f1b8b4d169ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f192142e-587d-4dac-8be8-550507d5d50a' class='xr-var-data-in' type='checkbox'><label for='data-f192142e-587d-4dac-8be8-550507d5d50a' 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> 2.00 kiB </td>\n",
+       "                        <td> 2.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (128, 2) </td>\n",
+       "                        <td> (128, 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",
+       "  <line x1=\"0\" y1=\"120\" x2=\"27\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 27.675387197907465,0.0 27.675387197907465,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"13.837694\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
+       "  <text x=\"47.675387\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,47.675387,60.000000)\">128</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(member_id, time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 64, 128), meta=np.ndarray&gt;</div><input id='attrs-039d28f6-cc33-43c2-903f-fe3952c6abe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-039d28f6-cc33-43c2-903f-fe3952c6abe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7abe1209-acbd-4bfe-b270-b57e1b0bc5b4' class='xr-var-data-in' type='checkbox'><label for='data-7abe1209-acbd-4bfe-b270-b57e1b0bc5b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>ST+273.16, CMIP_table_comment: near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>history :</span></dt><dd>degctok 2022-11-22T02:06:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2022-11-22T02:06:26Z altered by CMOR: Reordered dimensions, original order: lat lon time. 2022-11-22T02:06:26Z altered by CMOR: replaced missing value flag (1e+38) and corresponding data with standard missing value (1e+20).</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><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> 61.88 MiB </td>\n",
+       "                        <td> 32.00 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (1, 1980, 64, 128) </td>\n",
+       "                        <td> (1, 1, 64, 128) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1980 chunks in 3 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",
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+       "  <text x=\"120.294118\" y=\"87.132647\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,120.294118,87.132647)\">1980</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-2615efba-46a7-4e12-887f-28393ada06d2' class='xr-section-summary-in' type='checkbox'  ><label for='section-2615efba-46a7-4e12-887f-28393ada06d2' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a586b37e-d42b-4278-a5bd-1830d3a77cfc' class='xr-index-data-in' type='checkbox'/><label for='index-a586b37e-d42b-4278-a5bd-1830d3a77cfc' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-29c8ade5-6ee6-453a-9b9d-5eb7294eac28' class='xr-index-data-in' type='checkbox'/><label for='index-29c8ade5-6ee6-453a-9b9d-5eb7294eac28' 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([ -87.86379883923273,  -85.09652698831745,  -82.31291294788636,\n",
+       "        -79.52560657265951,   -76.7368996803684,  -73.94751515398974,\n",
+       "        -71.15775201158739,  -68.36775610831324,  -65.57760701082788,\n",
+       "        -62.78735179896313, -59.997020108491355,   -57.2066315276433,\n",
+       "        -54.41619952608627, -51.625733674938296,  -48.83524096625064,\n",
+       "       -46.044726631101724,  -43.25419466535099,  -40.46364817811508,\n",
+       "        -37.67308962904537,   -34.8825209937735, -32.091943881744044,\n",
+       "       -29.301359621762764, -26.510769325211022,  -23.72017393353477,\n",
+       "        -20.92957425448953, -18.138970990239372, -15.348364759491508,\n",
+       "        -12.55775611523069,  -9.767145559195578,  -6.976533553948642,\n",
+       "        -4.185920533189158, -1.3953069108194975,  1.3953069108194975,\n",
+       "         4.185920533189158,   6.976533553948642,   9.767145559195578,\n",
+       "         12.55775611523069,  15.348364759491508,  18.138970990239372,\n",
+       "         20.92957425448953,   23.72017393353477,  26.510769325211022,\n",
+       "        29.301359621762764,  32.091943881744044,    34.8825209937735,\n",
+       "         37.67308962904537,   40.46364817811508,   43.25419466535099,\n",
+       "        46.044726631101724,   48.83524096625064,  51.625733674938296,\n",
+       "         54.41619952608627,    57.2066315276433,  59.997020108491355,\n",
+       "         62.78735179896313,   65.57760701082788,   68.36775610831324,\n",
+       "         71.15775201158739,   73.94751515398974,    76.7368996803684,\n",
+       "         79.52560657265951,   82.31291294788636,   85.09652698831745,\n",
+       "         87.86379883923273],\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-07238e40-0475-495b-90bd-7ae5b0d34416' class='xr-index-data-in' type='checkbox'/><label for='index-07238e40-0475-495b-90bd-7ae5b0d34416' 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,   2.8125,    5.625,   8.4375,    11.25,  14.0625,   16.875,\n",
+       "        19.6875,     22.5,  25.3125,\n",
+       "       ...\n",
+       "        331.875, 334.6875,    337.5, 340.3125,  343.125, 345.9375,   348.75,\n",
+       "       351.5625,  354.375, 357.1875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=128))</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-b04d0348-149b-4666-8e56-a73ba3bdaa0d' class='xr-index-data-in' type='checkbox'/><label for='index-b04d0348-149b-4666-8e56-a73ba3bdaa0d' 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></ul></div></li><li class='xr-section-item'><input id='section-512865df-b443-478a-b623-a452bec4d008' class='xr-section-summary-in' type='checkbox'  ><label for='section-512865df-b443-478a-b623-a452bec4d008' class='xr-section-summary' >Attributes: <span>(67)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CCCma_model_hash :</span></dt><dd>c8708a7ff559a1daeee0b713f94508a26a04c6b7</dd><dt><span>CCCma_parent_runid :</span></dt><dd>v510b-pict</dd><dt><span>CCCma_pycmor_hash :</span></dt><dd>0db7dba6172f1fb31dd9a4af1ae40a53189337ea</dd><dt><span>CCCma_runid :</span></dt><dd>v5.1-histens-01</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>YMDH_branch_time_in_child :</span></dt><dd>1850:01:01:00</dd><dt><span>YMDH_branch_time_in_parent :</span></dt><dd>6010:01:01:00</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Spin-up documentation</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>1518400.0</dd><dt><span>contact :</span></dt><dd>f.cccma.info-info.ccmac.f@ec.gc.ca</dd><dt><span>creation_date :</span></dt><dd>2022-11-22T02:06:26Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.33</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.CCCma.CanESM5-1.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2022-11-22T02:06:26Z ;rewrote data to be consistent with CMIP for variable tas found in table Amon.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 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>CanESM5-1</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01 0:0:0.0</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>atmos</dd><dt><span>references :</span></dt><dd>Geoscientific Model Development Special issue on CanESM5 (https://www.geosci-model-dev.net/special_issue989.html)</dd><dt><span>source :</span></dt><dd>CanESM5.1 (2022): \n",
+       "aerosol: interactive\n",
+       "atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
+       "atmosChem: specified oxidants for aerosols\n",
+       "land: CLASS3.6/CTEM1.2\n",
+       "landIce: specified ice sheets\n",
+       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
+       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
+       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5-1</dd><dt><span>source_type :</span></dt><dd>AOGCM</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>Amon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(18 November 2020) MD5:85e53552ecb33e74760ede2e723d3d22</dd><dt><span>title :</span></dt><dd>CanESM5-1 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/efe49ede-6974-4bd3-a1cd-d824fe7db2cb</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution 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>cmor_version :</span></dt><dd>3.5.0</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;tas&#x27;]</dd><dt><span>intake_esm_attrs:variable_id :</span></dt><dd>tas</dd><dt><span>intake_esm_attrs:table_id :</span></dt><dd>Amon</dd><dt><span>intake_esm_attrs:source_id :</span></dt><dd>CanESM5-1</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:grid_label :</span></dt><dd>gn</dd><dt><span>intake_esm_attrs:time_range :</span></dt><dd>185001-201412</dd><dt><span>intake_esm_attrs:activity_id :</span></dt><dd>CMIP</dd><dt><span>intake_esm_attrs:institution_id :</span></dt><dd>CCCma</dd><dt><span>intake_esm_attrs:version :</span></dt><dd>v20190429</dd><dt><span>intake_esm_attrs:path :</span></dt><dd>/mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/CMIP/CCCma/CanESM5-1/historical/r1i1p1f1/Amon/tas/gn/v20190429/tas_Amon_CanESM5-1_historical_r1i1p1f1_gn_185001-201412.nc</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>CMIP.historical.CanESM5-1.Amon.gn</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 65MB\n",
+       "Dimensions:    (time: 1980, bnds: 2, lat: 64, lon: 128, member_id: 1)\n",
+       "Coordinates:\n",
+       "  * time       (time) object 16kB 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
+       "  * lat        (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+       "  * lon        (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+       "    height     float64 8B ...\n",
+       "  * member_id  (member_id) object 8B 'r1i1p1f1'\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) object 32kB dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
+       "    lat_bnds   (lat, bnds) float64 1kB dask.array<chunksize=(64, 2), meta=np.ndarray>\n",
+       "    lon_bnds   (lon, bnds) float64 2kB dask.array<chunksize=(128, 2), meta=np.ndarray>\n",
+       "    tas        (member_id, time, lat, lon) float32 65MB dask.array<chunksize=(1, 1, 64, 128), meta=np.ndarray>\n",
+       "Attributes: (12/67)\n",
+       "    CCCma_model_hash:                 c8708a7ff559a1daeee0b713f94508a26a04c6b7\n",
+       "    CCCma_parent_runid:               v510b-pict\n",
+       "    CCCma_pycmor_hash:                0db7dba6172f1fb31dd9a4af1ae40a53189337ea\n",
+       "    CCCma_runid:                      v5.1-histens-01\n",
+       "    Conventions:                      CF-1.7 CMIP-6.2\n",
+       "    YMDH_branch_time_in_child:        1850:01:01:00\n",
+       "    ...                               ...\n",
+       "    intake_esm_attrs:activity_id:     CMIP\n",
+       "    intake_esm_attrs:institution_id:  CCCma\n",
+       "    intake_esm_attrs:version:         v20190429\n",
+       "    intake_esm_attrs:path:            /mnt/craas1-ns9989k-ns9560k/ESGF/CMIP6/...\n",
+       "    intake_esm_attrs:_data_format_:   netcdf\n",
+       "    intake_esm_dataset_key:           CMIP.historical.CanESM5-1.Amon.gn"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_dict[mod]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "e1f22c7c-e2f2-4126-9db1-3b49020f6908",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CanESM5-1\n",
+      "GISS-E2-2-H\n",
+      "CESM2\n",
+      "E3SM-1-0\n",
+      "EC-Earth3-Veg-LR\n"
+     ]
+    }
+   ],
+   "source": [
+    "ds_vals_mod_var = {}\n",
+    "for mod in ds_dict.keys():\n",
+    "    print(mod)\n",
+    "    ds_vals_mod_var[mod]=dict()\n",
+    "    _ds = ds_dict[mod]\n",
+    "    _ds_m = global_mean(_ds.sel(time=slice('1990','2015'))).mean()\n",
+    "    for v in varl:\n",
+    "        if v in _ds_m:\n",
+    "            val = float(_ds_m[v].values)\n",
+    "            ds_vals_mod_var[mod][v] = val\n",
+    "        else:\n",
+    "            ds_vals_mod_var[mod][v] = np.nan\n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "7b99f917-256d-4285-a76d-5080523ccf7c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_vals_mod_var_meas = {}\n",
+    "for mod in ds_dict.keys():\n",
+    "    ds_vals_mod_var_meas[mod]=dict()\n",
+    "    _ds = ds_dict[mod].copy()\n",
+    "    meas = {}\n",
+    "    \n",
+    "    meas['mean'] = global_mean(_ds.sel(time=slice('1990','2015')).mean('lon').mean('time'))\n",
+    "    meas['median']= global_mean(_ds.sel(time=slice('1990','2015')).mean('lon').median('time'))\n",
+    "    meas['std'] = global_mean(_ds.sel(time=slice('1990','2015')).mean('lon').std('time'))\n",
+    "    for v in varl:\n",
+    "        ds_vals_mod_var_meas[mod][v] =dict()\n",
+    "        for m in meas:\n",
+    "            if v in meas[m]:\n",
+    "                try:\n",
+    "                    ds_vals_mod_var_meas[mod][v][m] = float(meas[m][v].squeeze().values)\n",
+    "                except:\n",
+    "                    ds_vals_mod_var_meas[mod][v][m] = np.nan\n",
+    "                    \n",
+    "            else:\n",
+    "                ds_vals_mod_var_meas[mod][v][m] = np.nan\n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "963fe788-dc55-44fe-b3d3-dc7bc37ddb30",
+   "metadata": {},
+   "source": [
+    "## Extract units"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "0f3cdb98-9f3c-4205-a19b-d6e10931546b",
+   "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>units</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>tas</th>\n",
+       "      <td>K</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>clt</th>\n",
+       "      <td>%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    units\n",
+       "tas     K\n",
+       "clt     %"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "_ds = ds_dict[models[0]]\n",
+    "u_dic = {v:_ds[v].units for v in varl}\n",
+    "units = pd.DataFrame.from_dict(u_dic,orient='index',columns=['units'] )#index=['units'])\n",
+    "\n",
+    "units"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "1618c668-fd95-4f93-af5e-42ecd8f7cce7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "fcdc6ef4-c2a1-4939-bf8f-cfa37d92b214",
+   "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>units</th>\n",
+       "      <th>CanESM5-1</th>\n",
+       "      <th>GISS-E2-2-H</th>\n",
+       "      <th>CESM2</th>\n",
+       "      <th>E3SM-1-0</th>\n",
+       "      <th>EC-Earth3-Veg-LR</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>tas</th>\n",
+       "      <td>K</td>\n",
+       "      <td>287.65</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>287.94</td>\n",
+       "      <td>287.47</td>\n",
+       "      <td>287.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>clt</th>\n",
+       "      <td>%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>69.74</td>\n",
+       "      <td>67.78</td>\n",
+       "      <td>64.10</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    units            CanESM5-1  GISS-E2-2-H                CESM2  \\\n",
+       "tas     K               287.65          NaN               287.94   \n",
+       "clt     %                  NaN          NaN                69.74   \n",
+       "\n",
+       "                E3SM-1-0     EC-Earth3-Veg-LR  \n",
+       "tas               287.47               287.54  \n",
+       "clt                67.78                64.10  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df_nice =pd.DataFrame.from_dict(ds_vals_mod_var)\n",
+    "df_nice = pd.concat([units,df_nice], axis=1)\n",
+    "#pd.options.display.float_format = '{:20,.2f}'.format\n",
+    "pd.set_option('display.float_format','{:20,.2f}'.format)\n",
+    "display(df_nice)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "4a96d08c-69cb-4e6f-a263-56d065a91be9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ls_meas = list()\n",
+    "for m in ds_vals_mod_var_meas:\n",
+    "    _df = pd.DataFrame.from_dict(ds_vals_mod_var_meas[m])\n",
+    "    _df['model']=m\n",
+    "    ls_meas.append(_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "70ae7434-5a90-4bea-b217-7d6494732bdf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_out = pd.concat(ls_meas).reset_index().sort_values('index').set_index(['index','model'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "9622c00a-946b-4f1c-8488-62e287f9d475",
+   "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></th>\n",
+       "      <th>tas</th>\n",
+       "      <th>clt</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>index</th>\n",
+       "      <th>model</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">mean</th>\n",
+       "      <th>CanESM5-1</th>\n",
+       "      <td>287.65</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GISS-E2-2-H</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CESM2</th>\n",
+       "      <td>287.94</td>\n",
+       "      <td>69.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>E3SM-1-0</th>\n",
+       "      <td>287.47</td>\n",
+       "      <td>67.78</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>EC-Earth3-Veg-LR</th>\n",
+       "      <td>287.54</td>\n",
+       "      <td>64.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">median</th>\n",
+       "      <th>CanESM5-1</th>\n",
+       "      <td>287.47</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GISS-E2-2-H</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CESM2</th>\n",
+       "      <td>287.92</td>\n",
+       "      <td>70.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>E3SM-1-0</th>\n",
+       "      <td>287.35</td>\n",
+       "      <td>68.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>EC-Earth3-Veg-LR</th>\n",
+       "      <td>287.29</td>\n",
+       "      <td>64.48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">std</th>\n",
+       "      <th>CanESM5-1</th>\n",
+       "      <td>3.70</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GISS-E2-2-H</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CESM2</th>\n",
+       "      <td>3.47</td>\n",
+       "      <td>5.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>E3SM-1-0</th>\n",
+       "      <td>3.61</td>\n",
+       "      <td>5.48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>EC-Earth3-Veg-LR</th>\n",
+       "      <td>3.65</td>\n",
+       "      <td>6.35</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                         tas                  clt\n",
+       "index  model                                                     \n",
+       "mean   CanESM5-1                      287.65                  NaN\n",
+       "       GISS-E2-2-H                       NaN                  NaN\n",
+       "       CESM2                          287.94                69.74\n",
+       "       E3SM-1-0                       287.47                67.78\n",
+       "       EC-Earth3-Veg-LR               287.54                64.10\n",
+       "median CanESM5-1                      287.47                  NaN\n",
+       "       GISS-E2-2-H                       NaN                  NaN\n",
+       "       CESM2                          287.92                70.04\n",
+       "       E3SM-1-0                       287.35                68.22\n",
+       "       EC-Earth3-Veg-LR               287.29                64.48\n",
+       "std    CanESM5-1                        3.70                  NaN\n",
+       "       GISS-E2-2-H                       NaN                  NaN\n",
+       "       CESM2                            3.47                 5.73\n",
+       "       E3SM-1-0                         3.61                 5.48\n",
+       "       EC-Earth3-Veg-LR                 3.65                 6.35"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.set_option('display.float_format','{:20,.2f}'.format)\n",
+    "\n",
+    "df_out"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "c4c45620-d1fe-4bd8-a247-854cf61fddaa",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th>index</th>\n",
+       "      <th colspan=\"5\" halign=\"left\">mean</th>\n",
+       "      <th colspan=\"5\" halign=\"left\">median</th>\n",
+       "      <th colspan=\"5\" halign=\"left\">std</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>model</th>\n",
+       "      <th>CanESM5-1</th>\n",
+       "      <th>GISS-E2-2-H</th>\n",
+       "      <th>CESM2</th>\n",
+       "      <th>E3SM-1-0</th>\n",
+       "      <th>EC-Earth3-Veg-LR</th>\n",
+       "      <th>CanESM5-1</th>\n",
+       "      <th>GISS-E2-2-H</th>\n",
+       "      <th>CESM2</th>\n",
+       "      <th>E3SM-1-0</th>\n",
+       "      <th>EC-Earth3-Veg-LR</th>\n",
+       "      <th>CanESM5-1</th>\n",
+       "      <th>GISS-E2-2-H</th>\n",
+       "      <th>CESM2</th>\n",
+       "      <th>E3SM-1-0</th>\n",
+       "      <th>EC-Earth3-Veg-LR</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>tas</th>\n",
+       "      <td>287.65</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>287.94</td>\n",
+       "      <td>287.47</td>\n",
+       "      <td>287.54</td>\n",
+       "      <td>287.47</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>287.92</td>\n",
+       "      <td>287.35</td>\n",
+       "      <td>287.29</td>\n",
+       "      <td>3.70</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>3.61</td>\n",
+       "      <td>3.65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>clt</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>69.74</td>\n",
+       "      <td>67.78</td>\n",
+       "      <td>64.10</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>70.04</td>\n",
+       "      <td>68.22</td>\n",
+       "      <td>64.48</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.73</td>\n",
+       "      <td>5.48</td>\n",
+       "      <td>6.35</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "index                 mean                                   \\\n",
+       "model            CanESM5-1 GISS-E2-2-H                CESM2   \n",
+       "tas                 287.65         NaN               287.94   \n",
+       "clt                    NaN         NaN                69.74   \n",
+       "\n",
+       "index                                                         median  \\\n",
+       "model             E3SM-1-0     EC-Earth3-Veg-LR            CanESM5-1   \n",
+       "tas                 287.47               287.54               287.47   \n",
+       "clt                  67.78                64.10                  NaN   \n",
+       "\n",
+       "index                                                        \\\n",
+       "model GISS-E2-2-H                CESM2             E3SM-1-0   \n",
+       "tas           NaN               287.92               287.35   \n",
+       "clt           NaN                70.04                68.22   \n",
+       "\n",
+       "index                                       std              \\\n",
+       "model     EC-Earth3-Veg-LR            CanESM5-1 GISS-E2-2-H   \n",
+       "tas                 287.29                 3.70         NaN   \n",
+       "clt                  64.48                  NaN         NaN   \n",
+       "\n",
+       "index                                                                 \n",
+       "model                CESM2             E3SM-1-0     EC-Earth3-Veg-LR  \n",
+       "tas                   3.47                 3.61                 3.65  \n",
+       "clt                   5.73                 5.48                 6.35  "
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_out.T\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0df46de1-c00a-4e84-bafd-226a59fd7668",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
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+  "kernelspec": {
+   "display_name": "Python [conda env:pangeo-notebook]",
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