AUS2200_intake_demo.ipynb

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   "cell_type": "markdown",
   "id": "791acb4d-46bb-4ea4-a44d-28c1a2c5c785",
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   "source": [
    "# Demo for the AUS2200 intake catalogue"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22efa228-951e-41ec-90e0-e37a676ce19f",
   "metadata": {},
   "source": [
    "This catalogue is a work in progress and we welcome feedback on how to bets structure it to facilatet queries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5e07cd11-e7c2-42b2-ae03-486402444db0",
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   "outputs": [],
   "source": [
    "import intake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f1d4a27d-19df-4559-b597-b06475fec789",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat = intake.open_catalog('/g/data/ua8/Working/packages/aus2200-intake/catalogue.yaml')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e597611-1285-4727-97d2-47fb9fb7cb9e",
   "metadata": {},
   "source": [
    "List all the datasets available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "69a1e6fd-9071-4ec1-8898-1e84a656db70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ashwed80', 'ashwed83', 'canberra03', 'combined']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(cat)"
   ]
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  {
   "cell_type": "markdown",
   "id": "615a3dcd-92e3-4743-90f4-574b874e41cf",
   "metadata": {},
   "source": [
    "At the moment we have one dataset for each separate simulation and a combined dataset which includes all simulations."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d71bdf0-c154-4bb4-954d-499bf2625494",
   "metadata": {},
   "source": [
    "## Example of dataset for a single simulation: canberra03"
   ]
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   "execution_count": 6,
   "id": "815c99b5-4974-4187-9d59-c50ca80fa837",
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   "source": [
    "canberra03 = cat['canberra03']"
   ]
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  {
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   "execution_count": 7,
   "id": "00d48136-3b9f-44df-b74d-631c9f631a75",
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      "text/plain": [
       "'A limited area model study of the entire Australian continent at 2.2 km resolution, using the UM atmospheric model. ERA5+ERA5Land reanalysis data was used to provide initial and boundary conditions. The study covers the time period of 2003-01-16 to 2003-01-19, including the 2003 Canberra bushfires.\\nThis dataset is part of the AUS2200 simulations collection at NCI.\\n'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "canberra03.description"
   ]
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   "execution_count": 14,
   "id": "0d75dc93-0f84-4caf-bb61-0f22f8ca0a50",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>path</th>\n",
       "      <th>version</th>\n",
       "      <th>table</th>\n",
       "      <th>variable</th>\n",
       "      <th>experiment_id</th>\n",
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       "      <th>0</th>\n",
       "      <td>/g/data/ua8/AUS2200/canberra03/v1-0/10min/amdr...</td>\n",
       "      <td>v1-0</td>\n",
       "      <td>10min</td>\n",
       "      <td>amdry</td>\n",
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       "      <td>v1-0</td>\n",
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       "      <td>amdry</td>\n",
       "      <td>canberra03</td>\n",
       "      <td>subhrPt</td>\n",
       "      <td>20030118001000-20030119000000</td>\n",
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       "      <td>amdry</td>\n",
       "      <td>canberra03</td>\n",
       "      <td>subhrPt</td>\n",
       "      <td>20030119001000-20030120000000</td>\n",
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       "      <td>v1-0</td>\n",
       "      <td>10min</td>\n",
       "      <td>amwet</td>\n",
       "      <td>canberra03</td>\n",
       "      <td>subhrPt</td>\n",
       "      <td>20030116001000-20030117000000</td>\n",
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      "text/plain": [
       "                                                path version  table variable  \\\n",
       "0  /g/data/ua8/AUS2200/canberra03/v1-0/10min/amdr...    v1-0  10min    amdry   \n",
       "1  /g/data/ua8/AUS2200/canberra03/v1-0/10min/amdr...    v1-0  10min    amdry   \n",
       "2  /g/data/ua8/AUS2200/canberra03/v1-0/10min/amdr...    v1-0  10min    amdry   \n",
       "3  /g/data/ua8/AUS2200/canberra03/v1-0/10min/amdr...    v1-0  10min    amdry   \n",
       "4  /g/data/ua8/AUS2200/canberra03/v1-0/10min/amwe...    v1-0  10min    amwet   \n",
       "\n",
       "  experiment_id frequency                     date_range  \n",
       "0    canberra03   subhrPt  20030116001000-20030117000000  \n",
       "1    canberra03   subhrPt  20030117001000-20030118000000  \n",
       "2    canberra03   subhrPt  20030118001000-20030119000000  \n",
       "3    canberra03   subhrPt  20030119001000-20030120000000  \n",
       "4    canberra03   subhrPt  20030116001000-20030117000000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
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   "source": [
    "canberra03.df.head()"
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   "cell_type": "markdown",
   "id": "e1a6eddb-7da5-48f9-85ad-b5a9110b98f5",
   "metadata": {},
   "source": [
    "To see all available variables"
   ]
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   "cell_type": "code",
   "execution_count": 16,
   "id": "d3ed0523-003b-4993-a65f-362bf2f65b67",
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       "['amdry',\n",
       " 'amwet',\n",
       " 'clhigh',\n",
       " 'cllow',\n",
       " 'clmed',\n",
       " 'clmxro',\n",
       " 'hus',\n",
       " 'huss',\n",
       " 'nflash',\n",
       " 'pralsns',\n",
       " 'pralsprof',\n",
       " 'ps',\n",
       " 'psl',\n",
       " 'reflmax',\n",
       " 'storm',\n",
       " 'tas',\n",
       " 'tdps',\n",
       " 'ts',\n",
       " 'uas',\n",
       " 'vas',\n",
       " 'wsgmax10m',\n",
       " 'cl',\n",
       " 'cli',\n",
       " 'clw',\n",
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       " 'refl',\n",
       " 'ta',\n",
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       " 'wa',\n",
       " 'rainmxrat',\n",
       " 'rlds',\n",
       " 'rls',\n",
       " 'rlut',\n",
       " 'rsds',\n",
       " 'rsdsdiff',\n",
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       " 'rsdt',\n",
       " 'rss',\n",
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       " 'tke',\n",
       " 'z0',\n",
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       " 'orog']"
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     "execution_count": 16,
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   "source": [
    "canberra03.unique()['variable']"
   ]
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   "id": "f796f2ef-6e89-49a9-a93d-aa64f205118b",
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   "source": [
    "Retrieve `tas`"
   ]
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   "cell_type": "code",
   "execution_count": 17,
   "id": "1640f093-d260-484e-88b9-11b2e60273ad",
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   "source": [
    "sub = canberra03.search(variable='tas')"
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   "cell_type": "markdown",
   "id": "fb165c3e-cfa0-47ba-8df0-2f768fbc8b71",
   "metadata": {},
   "source": [
    "Create a dictionary of datasets"
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   "execution_count": 20,
   "id": "92843111-16d4-4176-b12a-c94f9ffddacd",
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      "\n",
      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
      "\t'version.frequency.variable'\n"
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    "ds_dict = sub.to_dataset_dict()"
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       "dict_keys(['v1-0.1hr.tas', 'v1-0.subhrPt.tas'])"
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    "ds_dict.keys()"
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   "source": [
    "Load 1 hourly tas"
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   "execution_count": 24,
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       "  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: 2GB\n",
       "Dimensions:    (time: 96, bnds: 2, lat: 2120, lon: 2600)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 768B 2003-01-16T00:29:59.999999872 ... 2...\n",
       "  * lat        (lat) float64 17kB -48.79 -48.77 -48.75 ... -6.871 -6.852 -6.832\n",
       "  * lon        (lon) float64 21kB 107.5 107.5 107.6 107.6 ... 158.9 159.0 159.0\n",
       "    height     float64 8B ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 2kB dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    lat_bnds   (lat, bnds) float64 34kB dask.array&lt;chunksize=(2120, 2), meta=np.ndarray&gt;\n",
       "    lon_bnds   (lon, bnds) float64 42kB dask.array&lt;chunksize=(2600, 2), meta=np.ndarray&gt;\n",
       "    tas        (time, lat, lon) float32 2GB dask.array&lt;chunksize=(1, 1060, 1300), meta=np.ndarray&gt;\n",
       "Attributes: (12/55)\n",
       "    Conventions:                     CF-1.7 ACDD1.3\n",
       "    contact:                         dsroberts@unimelb.edu.au\n",
       "    contributor_email:               paola.petrelli@utas.edu.au, sam.green@un...\n",
       "    contributor_name:                Paola Petrelli, Samuel Green\n",
       "    contributor_role:                data_curator, data_curator\n",
       "    contributor_url:                 https://orcid.org/0000-0002-0164-5105, h...\n",
       "    ...                              ...\n",
       "    intake_esm_attrs:variable:       tas\n",
       "    intake_esm_attrs:experiment_id:  canberra03\n",
       "    intake_esm_attrs:frequency:      1hr\n",
       "    intake_esm_attrs:date_range:     200301160030-200301192330\n",
       "    intake_esm_attrs:_data_format_:  netcdf\n",
       "    intake_esm_dataset_key:          v1-0.1hr.tas</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-0b3e8395-69af-4a49-af61-ee5129e9b486' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0b3e8395-69af-4a49-af61-ee5129e9b486' 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>: 96</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 2120</li><li><span class='xr-has-index'>lon</span>: 2600</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8b433262-6097-4f53-8217-767e10d81dfd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b433262-6097-4f53-8217-767e10d81dfd' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2003-01-16T00:29:59.999999872 .....</div><input id='attrs-f4d09292-45a8-44d3-9171-e429472123d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d09292-45a8-44d3-9171-e429472123d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-745293fc-a700-4897-8be1-75fc9117e71e' class='xr-var-data-in' type='checkbox'><label for='data-745293fc-a700-4897-8be1-75fc9117e71e' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;2003-01-16T00:29:59.999999872&#x27;, &#x27;2003-01-16T01:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-16T02:30:00.000000128&#x27;, &#x27;2003-01-16T03:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-16T04:30:00.000000000&#x27;, &#x27;2003-01-16T05:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-16T06:29:59.999999872&#x27;, &#x27;2003-01-16T07:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-16T08:30:00.000000128&#x27;, &#x27;2003-01-16T09:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-16T10:30:00.000000000&#x27;, &#x27;2003-01-16T11:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-16T12:29:59.999999872&#x27;, &#x27;2003-01-16T13:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-16T14:30:00.000000128&#x27;, &#x27;2003-01-16T15:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-16T16:30:00.000000000&#x27;, &#x27;2003-01-16T17:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-16T18:29:59.999999872&#x27;, &#x27;2003-01-16T19:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-16T20:30:00.000000128&#x27;, &#x27;2003-01-16T21:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-16T22:30:00.000000000&#x27;, &#x27;2003-01-16T23:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-17T00:29:59.999999872&#x27;, &#x27;2003-01-17T01:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-17T02:30:00.000000128&#x27;, &#x27;2003-01-17T03:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-17T04:30:00.000000000&#x27;, &#x27;2003-01-17T05:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-17T06:29:59.999999872&#x27;, &#x27;2003-01-17T07:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-17T08:30:00.000000128&#x27;, &#x27;2003-01-17T09:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-17T10:30:00.000000000&#x27;, &#x27;2003-01-17T11:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-17T12:29:59.999999872&#x27;, &#x27;2003-01-17T13:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-17T14:30:00.000000128&#x27;, &#x27;2003-01-17T15:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-17T16:30:00.000000000&#x27;, &#x27;2003-01-17T17:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-17T18:29:59.999999872&#x27;, &#x27;2003-01-17T19:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-17T20:30:00.000000128&#x27;, &#x27;2003-01-17T21:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-17T22:30:00.000000000&#x27;, &#x27;2003-01-17T23:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-18T00:29:59.999999872&#x27;, &#x27;2003-01-18T01:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-18T02:30:00.000000128&#x27;, &#x27;2003-01-18T03:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-18T04:30:00.000000000&#x27;, &#x27;2003-01-18T05:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-18T06:29:59.999999872&#x27;, &#x27;2003-01-18T07:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-18T08:30:00.000000128&#x27;, &#x27;2003-01-18T09:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-18T10:30:00.000000000&#x27;, &#x27;2003-01-18T11:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-18T12:29:59.999999872&#x27;, &#x27;2003-01-18T13:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-18T14:30:00.000000128&#x27;, &#x27;2003-01-18T15:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-18T16:30:00.000000000&#x27;, &#x27;2003-01-18T17:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-18T18:29:59.999999872&#x27;, &#x27;2003-01-18T19:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-18T20:30:00.000000128&#x27;, &#x27;2003-01-18T21:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-18T22:30:00.000000000&#x27;, &#x27;2003-01-18T23:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-19T00:29:59.999999872&#x27;, &#x27;2003-01-19T01:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-19T02:30:00.000000128&#x27;, &#x27;2003-01-19T03:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-19T04:30:00.000000000&#x27;, &#x27;2003-01-19T05:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-19T06:29:59.999999872&#x27;, &#x27;2003-01-19T07:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-19T08:30:00.000000128&#x27;, &#x27;2003-01-19T09:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-19T10:30:00.000000000&#x27;, &#x27;2003-01-19T11:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-19T12:29:59.999999872&#x27;, &#x27;2003-01-19T13:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-19T14:30:00.000000128&#x27;, &#x27;2003-01-19T15:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-19T16:30:00.000000000&#x27;, &#x27;2003-01-19T17:30:00.000000128&#x27;,\n",
       "       &#x27;2003-01-19T18:29:59.999999872&#x27;, &#x27;2003-01-19T19:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-19T20:30:00.000000128&#x27;, &#x27;2003-01-19T21:29:59.999999872&#x27;,\n",
       "       &#x27;2003-01-19T22:30:00.000000000&#x27;, &#x27;2003-01-19T23:30:00.000000128&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-48.79 -48.77 ... -6.852 -6.832</div><input id='attrs-9293f376-019f-41e0-aa7a-abf6a757f230' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9293f376-019f-41e0-aa7a-abf6a757f230' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f15d2bcf-d544-4c5f-b83e-85f1758f2196' class='xr-var-data-in' type='checkbox'><label for='data-f15d2bcf-d544-4c5f-b83e-85f1758f2196' 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([-48.787998, -48.7682  , -48.748398, ...,  -6.871399,  -6.851597,\n",
       "        -6.831799])</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'>107.5 107.5 107.6 ... 159.0 159.0</div><input id='attrs-7f79803d-acb2-462f-8dca-3e07f89d006c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f79803d-acb2-462f-8dca-3e07f89d006c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33c61d99-a21d-4c9f-9bde-6ab26d946b73' class='xr-var-data-in' type='checkbox'><label for='data-33c61d99-a21d-4c9f-9bde-6ab26d946b73' 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([107.519997, 107.539795, 107.559593, ..., 158.940598, 158.960388,\n",
       "       158.980194])</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-7bd0fe13-782c-4de2-8617-bf64dc6bd0a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bd0fe13-782c-4de2-8617-bf64dc6bd0a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cee4c22d-866f-4cd2-b182-aa28edcbbd91' class='xr-var-data-in' type='checkbox'><label for='data-cee4c22d-866f-4cd2-b182-aa28edcbbd91' 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></ul></div></li><li class='xr-section-item'><input id='section-43f8df5f-815d-4c6c-9b9f-4f33554e5ffb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-43f8df5f-815d-4c6c-9b9f-4f33554e5ffb' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-2810bbd2-d786-41d3-8634-8f898e8c62f8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2810bbd2-d786-41d3-8634-8f898e8c62f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b341ca6-350f-4c99-b8b5-3bf9a3e13fcf' class='xr-var-data-in' type='checkbox'><label for='data-8b341ca6-350f-4c99-b8b5-3bf9a3e13fcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.50 kiB </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (96, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 96 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</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=(2120, 2), meta=np.ndarray&gt;</div><input id='attrs-afdb3761-7817-4a46-b5f8-84884cd027b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-afdb3761-7817-4a46-b5f8-84884cd027b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e9f7633-f16f-4a4c-a3ac-1a1a0c8c279a' class='xr-var-data-in' type='checkbox'><label for='data-7e9f7633-f16f-4a4c-a3ac-1a1a0c8c279a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 33.12 kiB </td>\n",
       "                        <td> 33.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2120, 2) </td>\n",
       "                        <td> (2120, 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",
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       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "    </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=(2600, 2), meta=np.ndarray&gt;</div><input id='attrs-b1a1a897-bc4a-47e4-9f34-d17bd5517437' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1a1a897-bc4a-47e4-9f34-d17bd5517437' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb635be2-140d-4d3c-a312-7bd9354deec2' class='xr-var-data-in' type='checkbox'><label for='data-bb635be2-140d-4d3c-a312-7bd9354deec2' 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> 40.62 kiB </td>\n",
       "                        <td> 40.62 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2600, 2) </td>\n",
       "                        <td> (2600, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1060, 1300), meta=np.ndarray&gt;</div><input id='attrs-8921e367-ff1b-4cf2-83cc-eede379d9988' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8921e367-ff1b-4cf2-83cc-eede379d9988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13e67fc5-d502-43ef-9e47-753a4554014a' class='xr-var-data-in' type='checkbox'><label for='data-13e67fc5-d502-43ef-9e47-753a4554014a' 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>near-surface (for access 1.5 meters) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2023-10-19T06:04:25Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2023-10-19T06:04:25Z altered by CMOR: replaced missing value flag (9.96921e+36) and corresponding data with standard missing value (1e+20).</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td colspan=\"2\"> 384 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-63dd31f8-113b-459c-8b47-2fd05fb9ab4f' class='xr-section-summary-in' type='checkbox'  ><label for='section-63dd31f8-113b-459c-8b47-2fd05fb9ab4f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d3391502-6b80-4bfb-bdfa-423dab3c4eed' class='xr-index-data-in' type='checkbox'/><label for='index-d3391502-6b80-4bfb-bdfa-423dab3c4eed' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2003-01-16 00:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-16 01:30:00&#x27;,\n",
       "               &#x27;2003-01-16 02:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-16 03:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-16 04:30:00&#x27;,\n",
       "               &#x27;2003-01-16 05:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-16 06:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-16 07:30:00&#x27;,\n",
       "               &#x27;2003-01-16 08:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-16 09:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-16 10:30:00&#x27;,\n",
       "               &#x27;2003-01-16 11:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-16 12:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-16 13:30:00&#x27;,\n",
       "               &#x27;2003-01-16 14:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-16 15:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-16 16:30:00&#x27;,\n",
       "               &#x27;2003-01-16 17:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-16 18:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-16 19:30:00&#x27;,\n",
       "               &#x27;2003-01-16 20:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-16 21:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-16 22:30:00&#x27;,\n",
       "               &#x27;2003-01-16 23:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-17 00:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-17 01:30:00&#x27;,\n",
       "               &#x27;2003-01-17 02:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-17 03:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-17 04:30:00&#x27;,\n",
       "               &#x27;2003-01-17 05:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-17 06:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-17 07:30:00&#x27;,\n",
       "               &#x27;2003-01-17 08:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-17 09:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-17 10:30:00&#x27;,\n",
       "               &#x27;2003-01-17 11:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-17 12:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-17 13:30:00&#x27;,\n",
       "               &#x27;2003-01-17 14:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-17 15:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-17 16:30:00&#x27;,\n",
       "               &#x27;2003-01-17 17:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-17 18:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-17 19:30:00&#x27;,\n",
       "               &#x27;2003-01-17 20:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-17 21:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-17 22:30:00&#x27;,\n",
       "               &#x27;2003-01-17 23:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-18 00:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-18 01:30:00&#x27;,\n",
       "               &#x27;2003-01-18 02:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-18 03:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-18 04:30:00&#x27;,\n",
       "               &#x27;2003-01-18 05:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-18 06:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-18 07:30:00&#x27;,\n",
       "               &#x27;2003-01-18 08:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-18 09:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-18 10:30:00&#x27;,\n",
       "               &#x27;2003-01-18 11:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-18 12:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-18 13:30:00&#x27;,\n",
       "               &#x27;2003-01-18 14:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-18 15:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-18 16:30:00&#x27;,\n",
       "               &#x27;2003-01-18 17:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-18 18:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-18 19:30:00&#x27;,\n",
       "               &#x27;2003-01-18 20:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-18 21:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-18 22:30:00&#x27;,\n",
       "               &#x27;2003-01-18 23:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-19 00:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-19 01:30:00&#x27;,\n",
       "               &#x27;2003-01-19 02:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-19 03:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-19 04:30:00&#x27;,\n",
       "               &#x27;2003-01-19 05:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-19 06:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-19 07:30:00&#x27;,\n",
       "               &#x27;2003-01-19 08:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-19 09:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-19 10:30:00&#x27;,\n",
       "               &#x27;2003-01-19 11:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-19 12:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-19 13:30:00&#x27;,\n",
       "               &#x27;2003-01-19 14:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-19 15:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-19 16:30:00&#x27;,\n",
       "               &#x27;2003-01-19 17:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-19 18:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-19 19:30:00&#x27;,\n",
       "               &#x27;2003-01-19 20:30:00.000000128&#x27;,\n",
       "               &#x27;2003-01-19 21:29:59.999999872&#x27;,\n",
       "                         &#x27;2003-01-19 22:30:00&#x27;,\n",
       "               &#x27;2003-01-19 23:30:00.000000128&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-810816cf-9b19-4038-8362-c54d475d5f7f' class='xr-index-data-in' type='checkbox'/><label for='index-810816cf-9b19-4038-8362-c54d475d5f7f' 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([ -48.78799819946289,   -48.7681999206543,  -48.74839782714844,\n",
       "       -48.728599548339844, -48.708797454833984,  -48.68899917602539,\n",
       "        -48.66919708251953,  -48.64939880371094,  -48.62959671020508,\n",
       "       -48.609798431396484,\n",
       "       ...\n",
       "        -7.009998321533203,  -6.990200042724609,   -6.97039794921875,\n",
       "        -6.950599670410156,  -6.930797576904297,  -6.910999298095703,\n",
       "        -6.891197204589844,   -6.87139892578125,  -6.851596832275391,\n",
       "        -6.831798553466797],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=2120))</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-20104ae8-a697-4d73-a617-ea209c49de21' class='xr-index-data-in' type='checkbox'/><label for='index-20104ae8-a697-4d73-a617-ea209c49de21' 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([ 107.5199966430664,   107.539794921875,  107.5595932006836,\n",
       "       107.57939910888672, 107.59919738769531,  107.6189956665039,\n",
       "        107.6387939453125, 107.65859985351562, 107.67839813232422,\n",
       "       107.69819641113281,\n",
       "       ...\n",
       "         158.802001953125, 158.82179260253906,  158.8415985107422,\n",
       "       158.86138916015625, 158.88119506835938,  158.9010009765625,\n",
       "       158.92079162597656,  158.9405975341797, 158.96038818359375,\n",
       "       158.98019409179688],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=2600))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-644017ca-bbea-40d3-9861-6a8859284cde' class='xr-section-summary-in' type='checkbox'  ><label for='section-644017ca-bbea-40d3-9861-6a8859284cde' class='xr-section-summary' >Attributes: <span>(55)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 ACDD1.3</dd><dt><span>contact :</span></dt><dd>dsroberts@unimelb.edu.au</dd><dt><span>contributor_email :</span></dt><dd>paola.petrelli@utas.edu.au, sam.green@unsw.edu.au</dd><dt><span>contributor_name :</span></dt><dd>Paola Petrelli, Samuel Green</dd><dt><span>contributor_role :</span></dt><dd>data_curator, data_curator</dd><dt><span>contributor_url :</span></dt><dd>https://orcid.org/0000-0002-0164-5105, https://orcid.org/0000-0003-1129-4676</dd><dt><span>creation_date :</span></dt><dd>2023-10-19T06:04:51Z</dd><dt><span>creator_email :</span></dt><dd>dsroberts@unimelb.edu.au</dd><dt><span>creator_name :</span></dt><dd>Dale Roberts</dd><dt><span>creator_url :</span></dt><dd>https://orcid.org/0000-0003-3952-6344</dd><dt><span>data_specs_version :</span></dt><dd>01.00.00</dd><dt><span>date_created :</span></dt><dd>2023-06-05</dd><dt><span>exp_description :</span></dt><dd>A limited area model study of the entire Australian continent at 2.2 km resolution, using the UM atmospheric model. ERA5+ERA5Land reanalysis data was used to provide initial and boundary conditions. The study covers the time period of 2003-01-16 to 2003-01-19, including the 2003 Canberra bushfires.</dd><dt><span>experiment :</span></dt><dd>canberra03</dd><dt><span>experiment_id :</span></dt><dd>canberra03</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>frequency :</span></dt><dd>1hr</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/.institution_idAUS2200.canberra03.sub_experiment_idvariant_label</dd><dt><span>geospatial_lat_max :</span></dt><dd>-6.83</dd><dt><span>geospatial_lat_min :</span></dt><dd>-48.79</dd><dt><span>geospatial_lon_max :</span></dt><dd>158.98</dd><dt><span>geospatial_lon_min :</span></dt><dd>107.52</dd><dt><span>grid :</span></dt><dd>native atmosphere grid (2120x2600 latxlon)</dd><dt><span>history :</span></dt><dd>2023-10-19T06:04:51Z ; CMOR rewrote data to be consistent with , CF-1.7 ACDD1.3 and CF standards.</dd><dt><span>institution :</span></dt><dd>University of Melbourne</dd><dt><span>keywords :</span></dt><dd>Climate change processes, Adverse weather events, Cloud physics</dd><dt><span>nominal_resolution :</span></dt><dd>2.2 km</dd><dt><span>organisation :</span></dt><dd>Centre of Excellence for Climate Extremes</dd><dt><span>parent :</span></dt><dd>False</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>product_version :</span></dt><dd>v1.0</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>UM v12.2 ECMWF ERA5 and ERA5-Land reanalysis fields used as forcings</dd><dt><span>source_id :</span></dt><dd>AUS2200</dd><dt><span>table_id :</span></dt><dd>A1hr</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 June 2023) MD5:71a4110ed3210ee3a5e9f7f71551dad2</dd><dt><span>time_coverage_end :</span></dt><dd>2003-01-20</dd><dt><span>time_coverage_start :</span></dt><dd>2003-01-16</dd><dt><span>title :</span></dt><dd>AUS2200 UM amip simulation of the 2003 Canberra bushfire.</dd><dt><span>tracking_id :</span></dt><dd>ddbb400b-b0a9-41f9-b88c-ecbccfeff5d3</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>version :</span></dt><dd>v1.0</dd><dt><span>license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>cmor_version :</span></dt><dd>3.7.1</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;tas&#x27;]</dd><dt><span>intake_esm_attrs:path :</span></dt><dd>/g/data/ua8/AUS2200/canberra03/v1-0/1hr/tas_AUS2200_canberra03_1hr_200301160030-200301192330.nc</dd><dt><span>intake_esm_attrs:version :</span></dt><dd>v1-0</dd><dt><span>intake_esm_attrs:table :</span></dt><dd>1hr</dd><dt><span>intake_esm_attrs:variable :</span></dt><dd>tas</dd><dt><span>intake_esm_attrs:experiment_id :</span></dt><dd>canberra03</dd><dt><span>intake_esm_attrs:frequency :</span></dt><dd>1hr</dd><dt><span>intake_esm_attrs:date_range :</span></dt><dd>200301160030-200301192330</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>v1-0.1hr.tas</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2GB\n",
       "Dimensions:    (time: 96, bnds: 2, lat: 2120, lon: 2600)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 768B 2003-01-16T00:29:59.999999872 ... 2...\n",
       "  * lat        (lat) float64 17kB -48.79 -48.77 -48.75 ... -6.871 -6.852 -6.832\n",
       "  * lon        (lon) float64 21kB 107.5 107.5 107.6 107.6 ... 158.9 159.0 159.0\n",
       "    height     float64 8B ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 2kB dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    lat_bnds   (lat, bnds) float64 34kB dask.array<chunksize=(2120, 2), meta=np.ndarray>\n",
       "    lon_bnds   (lon, bnds) float64 42kB dask.array<chunksize=(2600, 2), meta=np.ndarray>\n",
       "    tas        (time, lat, lon) float32 2GB dask.array<chunksize=(1, 1060, 1300), meta=np.ndarray>\n",
       "Attributes: (12/55)\n",
       "    Conventions:                     CF-1.7 ACDD1.3\n",
       "    contact:                         dsroberts@unimelb.edu.au\n",
       "    contributor_email:               paola.petrelli@utas.edu.au, sam.green@un...\n",
       "    contributor_name:                Paola Petrelli, Samuel Green\n",
       "    contributor_role:                data_curator, data_curator\n",
       "    contributor_url:                 https://orcid.org/0000-0002-0164-5105, h...\n",
       "    ...                              ...\n",
       "    intake_esm_attrs:variable:       tas\n",
       "    intake_esm_attrs:experiment_id:  canberra03\n",
       "    intake_esm_attrs:frequency:      1hr\n",
       "    intake_esm_attrs:date_range:     200301160030-200301192330\n",
       "    intake_esm_attrs:_data_format_:  netcdf\n",
       "    intake_esm_dataset_key:          v1-0.1hr.tas"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tas_ds = ds_dict['v1-0.1hr.tas']\n",
    "tas_ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01e5b8ae-efd1-44b6-87df-154106a7db18",
   "metadata": {},
   "source": [
    "## Example with combined dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4f32ab09-bf21-4b06-ab1c-92f3d6dbcd2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "comb = cat['combined']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "32bf7bd9-5a7e-4984-ba24-a9291be23c34",
   "metadata": {},
   "outputs": [],
   "source": [
    "sub = comb.search(variable='tas', frequency='1hr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "045e4514-90dc-4328-9331-2b2ad6c12da5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
      "\t'experiment_id.version.frequency.variable'\n"
     ]
    },
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  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d13f43dd-afaa-4dd4-b1e4-1da26a4cb3fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['blacksat.v1-0.1hr.tas', 'flood22-barrasmc.v1-0.1hr.tas', 'ashwed1983.v1-0.1hr.tas', 'flood22-reducedsst.v1-0.1hr.tas', 'canberra03.v1-0.1hr.tas', 'ecoastlow16.v1-0.1hr.tas', 'ashwed1980.v1-0.1hr.tas', 'mjo-lanina.v1-0.1hr.tas', 'mjo-neutral.v1-0.1hr.tas', 'mjo-elnino.v1-0.1hr.tas'])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
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    }
   ],
   "source": [
    "ds_dict.keys()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bbbe7025-7670-4add-ba17-69f9f2566083",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2GB\n",
       "Dimensions:    (time: 96, bnds: 2, lat: 2120, lon: 2600)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 768B 2009-02-05T00:30:00 ... 2009-02-08T...\n",
       "  * lat        (lat) float64 17kB -48.79 -48.77 -48.75 ... -6.871 -6.852 -6.832\n",
       "  * lon        (lon) float64 21kB 107.5 107.5 107.6 107.6 ... 158.9 159.0 159.0\n",
       "    height     float64 8B ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 2kB dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    lat_bnds   (lat, bnds) float64 34kB dask.array&lt;chunksize=(2120, 2), meta=np.ndarray&gt;\n",
       "    lon_bnds   (lon, bnds) float64 42kB dask.array&lt;chunksize=(2600, 2), meta=np.ndarray&gt;\n",
       "    tas        (time, lat, lon) float32 2GB dask.array&lt;chunksize=(1, 1060, 1300), meta=np.ndarray&gt;\n",
       "Attributes: (12/56)\n",
       "    Conventions:                     CF-1.7 ACDD1.3\n",
       "    contact:                         dsroberts@unimelb.edu.au\n",
       "    contributor_email:               paola.petrelli@utas.edu.au, sam.green@un...\n",
       "    contributor_name:                Paola Petrelli, Samuel Green\n",
       "    contributor_role:                data_curator, data_curator\n",
       "    contributor_url:                 https://orcid.org/0000-0002-0164-5105, h...\n",
       "    ...                              ...\n",
       "    intake_esm_attrs:variable:       tas\n",
       "    intake_esm_attrs:experiment_id:  blacksat\n",
       "    intake_esm_attrs:frequency:      1hr\n",
       "    intake_esm_attrs:date_range:     200902050030-200902082330\n",
       "    intake_esm_attrs:_data_format_:  netcdf\n",
       "    intake_esm_dataset_key:          blacksat.v1-0.1hr.tas</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-3b674460-4daf-4d3c-a5e9-89ccc53273da' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3b674460-4daf-4d3c-a5e9-89ccc53273da' 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>: 96</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 2120</li><li><span class='xr-has-index'>lon</span>: 2600</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6b4a12c9-e251-45c9-bfe8-4d1e46113a2b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b4a12c9-e251-45c9-bfe8-4d1e46113a2b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2009-02-05T00:30:00 ... 2009-02-...</div><input id='attrs-69764e46-8e8e-49f0-bedb-5f4adf5e9725' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69764e46-8e8e-49f0-bedb-5f4adf5e9725' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b443b314-4150-4db1-92fc-bd785a5f82e7' class='xr-var-data-in' type='checkbox'><label for='data-b443b314-4150-4db1-92fc-bd785a5f82e7' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;2009-02-05T00:30:00.000000000&#x27;, &#x27;2009-02-05T01:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T02:30:00.000000000&#x27;, &#x27;2009-02-05T03:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T04:30:00.000000000&#x27;, &#x27;2009-02-05T05:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T06:30:00.000000000&#x27;, &#x27;2009-02-05T07:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T08:30:00.000000000&#x27;, &#x27;2009-02-05T09:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T10:30:00.000000000&#x27;, &#x27;2009-02-05T11:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T12:30:00.000000000&#x27;, &#x27;2009-02-05T13:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T14:30:00.000000000&#x27;, &#x27;2009-02-05T15:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T16:30:00.000000000&#x27;, &#x27;2009-02-05T17:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T18:30:00.000000000&#x27;, &#x27;2009-02-05T19:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T20:30:00.000000000&#x27;, &#x27;2009-02-05T21:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-05T22:30:00.000000000&#x27;, &#x27;2009-02-05T23:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T00:30:00.000000000&#x27;, &#x27;2009-02-06T01:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T02:30:00.000000000&#x27;, &#x27;2009-02-06T03:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T04:30:00.000000000&#x27;, &#x27;2009-02-06T05:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T06:30:00.000000000&#x27;, &#x27;2009-02-06T07:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T08:30:00.000000000&#x27;, &#x27;2009-02-06T09:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T10:30:00.000000000&#x27;, &#x27;2009-02-06T11:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T12:30:00.000000000&#x27;, &#x27;2009-02-06T13:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T14:30:00.000000000&#x27;, &#x27;2009-02-06T15:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T16:30:00.000000000&#x27;, &#x27;2009-02-06T17:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T18:30:00.000000000&#x27;, &#x27;2009-02-06T19:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T20:30:00.000000000&#x27;, &#x27;2009-02-06T21:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-06T22:30:00.000000000&#x27;, &#x27;2009-02-06T23:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T00:30:00.000000000&#x27;, &#x27;2009-02-07T01:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T02:30:00.000000000&#x27;, &#x27;2009-02-07T03:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T04:30:00.000000000&#x27;, &#x27;2009-02-07T05:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T06:30:00.000000000&#x27;, &#x27;2009-02-07T07:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T08:30:00.000000000&#x27;, &#x27;2009-02-07T09:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T10:30:00.000000000&#x27;, &#x27;2009-02-07T11:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T12:30:00.000000000&#x27;, &#x27;2009-02-07T13:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T14:30:00.000000000&#x27;, &#x27;2009-02-07T15:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T16:30:00.000000000&#x27;, &#x27;2009-02-07T17:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T18:30:00.000000000&#x27;, &#x27;2009-02-07T19:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T20:30:00.000000000&#x27;, &#x27;2009-02-07T21:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-07T22:30:00.000000000&#x27;, &#x27;2009-02-07T23:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T00:30:00.000000000&#x27;, &#x27;2009-02-08T01:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T02:30:00.000000000&#x27;, &#x27;2009-02-08T03:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T04:30:00.000000000&#x27;, &#x27;2009-02-08T05:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T06:30:00.000000000&#x27;, &#x27;2009-02-08T07:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T08:30:00.000000000&#x27;, &#x27;2009-02-08T09:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T10:30:00.000000000&#x27;, &#x27;2009-02-08T11:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T12:30:00.000000000&#x27;, &#x27;2009-02-08T13:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T14:30:00.000000000&#x27;, &#x27;2009-02-08T15:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T16:30:00.000000000&#x27;, &#x27;2009-02-08T17:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T18:30:00.000000000&#x27;, &#x27;2009-02-08T19:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T20:30:00.000000000&#x27;, &#x27;2009-02-08T21:30:00.000000000&#x27;,\n",
       "       &#x27;2009-02-08T22:30:00.000000000&#x27;, &#x27;2009-02-08T23:30:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-48.79 -48.77 ... -6.852 -6.832</div><input id='attrs-38e7a3c3-9cb5-474c-aa6c-56d7b9fd70ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38e7a3c3-9cb5-474c-aa6c-56d7b9fd70ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ac1c04c-8cf3-495f-b216-25890db27201' class='xr-var-data-in' type='checkbox'><label for='data-0ac1c04c-8cf3-495f-b216-25890db27201' 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([-48.787998, -48.7682  , -48.748398, ...,  -6.871399,  -6.851597,\n",
       "        -6.831799])</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'>107.5 107.5 107.6 ... 159.0 159.0</div><input id='attrs-8f6f5908-de2a-472d-9b07-d77394faf2a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f6f5908-de2a-472d-9b07-d77394faf2a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bdc85a6-43ce-4516-94fe-1236fd5be3f0' class='xr-var-data-in' type='checkbox'><label for='data-7bdc85a6-43ce-4516-94fe-1236fd5be3f0' 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([107.519997, 107.539795, 107.559593, ..., 158.940598, 158.960388,\n",
       "       158.980194])</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-09ae5ccd-6cc8-4fa4-b656-6bb8007bcd3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09ae5ccd-6cc8-4fa4-b656-6bb8007bcd3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcf8d48a-d123-4419-a247-105f32b65bcc' class='xr-var-data-in' type='checkbox'><label for='data-bcf8d48a-d123-4419-a247-105f32b65bcc' 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></ul></div></li><li class='xr-section-item'><input id='section-7d90faf1-bd00-4019-a7b1-7c14c5d28829' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7d90faf1-bd00-4019-a7b1-7c14c5d28829' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-909b2824-d5c4-4190-9bd2-ec0982f2de16' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-909b2824-d5c4-4190-9bd2-ec0982f2de16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f900ba1-852e-4893-bfaf-f4223695d188' class='xr-var-data-in' type='checkbox'><label for='data-4f900ba1-852e-4893-bfaf-f4223695d188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.50 kiB </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (96, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 96 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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=(2120, 2), meta=np.ndarray&gt;</div><input id='attrs-78665249-d38d-4216-b90f-78cf0c9c0f85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78665249-d38d-4216-b90f-78cf0c9c0f85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de605ffe-8e89-4b71-bad5-e9b83973c8ff' class='xr-var-data-in' type='checkbox'><label for='data-de605ffe-8e89-4b71-bad5-e9b83973c8ff' 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",
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       "                <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> 33.12 kiB </td>\n",
       "                        <td> 33.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2120, 2) </td>\n",
       "                        <td> (2120, 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",
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       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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=(2600, 2), meta=np.ndarray&gt;</div><input id='attrs-7dd93613-34ff-4022-b50c-b535b2364e78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7dd93613-34ff-4022-b50c-b535b2364e78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63230c08-e765-4f6d-92ea-983ffd8b3897' class='xr-var-data-in' type='checkbox'><label for='data-63230c08-e765-4f6d-92ea-983ffd8b3897' 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> 40.62 kiB </td>\n",
       "                        <td> 40.62 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2600, 2) </td>\n",
       "                        <td> (2600, 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",
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       "        </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'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1060, 1300), meta=np.ndarray&gt;</div><input id='attrs-86243aae-4363-40be-94f8-b9ae82f77f03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86243aae-4363-40be-94f8-b9ae82f77f03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff4f9203-be19-437c-b117-e20aa5141bbb' class='xr-var-data-in' type='checkbox'><label for='data-ff4f9203-be19-437c-b117-e20aa5141bbb' 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>near-surface (for access 1.5 meters) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2023-10-20T05:19:36Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2023-10-20T05:19:36Z altered by CMOR: replaced missing value flag (9.96921e+36) and corresponding data with standard missing value (1e+20).</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> 1.97 GiB </td>\n",
       "                        <td> 5.26 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 1060, 1300) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "               &#x27;2009-02-05 02:30:00&#x27;, &#x27;2009-02-05 03:30:00&#x27;,\n",
       "               &#x27;2009-02-05 04:30:00&#x27;, &#x27;2009-02-05 05:30:00&#x27;,\n",
       "               &#x27;2009-02-05 06:30:00&#x27;, &#x27;2009-02-05 07:30:00&#x27;,\n",
       "               &#x27;2009-02-05 08:30:00&#x27;, &#x27;2009-02-05 09:30:00&#x27;,\n",
       "               &#x27;2009-02-05 10:30:00&#x27;, &#x27;2009-02-05 11:30:00&#x27;,\n",
       "               &#x27;2009-02-05 12:30:00&#x27;, &#x27;2009-02-05 13:30:00&#x27;,\n",
       "               &#x27;2009-02-05 14:30:00&#x27;, &#x27;2009-02-05 15:30:00&#x27;,\n",
       "               &#x27;2009-02-05 16:30:00&#x27;, &#x27;2009-02-05 17:30:00&#x27;,\n",
       "               &#x27;2009-02-05 18:30:00&#x27;, &#x27;2009-02-05 19:30:00&#x27;,\n",
       "               &#x27;2009-02-05 20:30:00&#x27;, &#x27;2009-02-05 21:30:00&#x27;,\n",
       "               &#x27;2009-02-05 22:30:00&#x27;, &#x27;2009-02-05 23:30:00&#x27;,\n",
       "               &#x27;2009-02-06 00:30:00&#x27;, &#x27;2009-02-06 01:30:00&#x27;,\n",
       "               &#x27;2009-02-06 02:30:00&#x27;, &#x27;2009-02-06 03:30:00&#x27;,\n",
       "               &#x27;2009-02-06 04:30:00&#x27;, &#x27;2009-02-06 05:30:00&#x27;,\n",
       "               &#x27;2009-02-06 06:30:00&#x27;, &#x27;2009-02-06 07:30:00&#x27;,\n",
       "               &#x27;2009-02-06 08:30:00&#x27;, &#x27;2009-02-06 09:30:00&#x27;,\n",
       "               &#x27;2009-02-06 10:30:00&#x27;, &#x27;2009-02-06 11:30:00&#x27;,\n",
       "               &#x27;2009-02-06 12:30:00&#x27;, &#x27;2009-02-06 13:30:00&#x27;,\n",
       "               &#x27;2009-02-06 14:30:00&#x27;, &#x27;2009-02-06 15:30:00&#x27;,\n",
       "               &#x27;2009-02-06 16:30:00&#x27;, &#x27;2009-02-06 17:30:00&#x27;,\n",
       "               &#x27;2009-02-06 18:30:00&#x27;, &#x27;2009-02-06 19:30:00&#x27;,\n",
       "               &#x27;2009-02-06 20:30:00&#x27;, &#x27;2009-02-06 21:30:00&#x27;,\n",
       "               &#x27;2009-02-06 22:30:00&#x27;, &#x27;2009-02-06 23:30:00&#x27;,\n",
       "               &#x27;2009-02-07 00:30:00&#x27;, &#x27;2009-02-07 01:30:00&#x27;,\n",
       "               &#x27;2009-02-07 02:30:00&#x27;, &#x27;2009-02-07 03:30:00&#x27;,\n",
       "               &#x27;2009-02-07 04:30:00&#x27;, &#x27;2009-02-07 05:30:00&#x27;,\n",
       "               &#x27;2009-02-07 06:30:00&#x27;, &#x27;2009-02-07 07:30:00&#x27;,\n",
       "               &#x27;2009-02-07 08:30:00&#x27;, &#x27;2009-02-07 09:30:00&#x27;,\n",
       "               &#x27;2009-02-07 10:30:00&#x27;, &#x27;2009-02-07 11:30:00&#x27;,\n",
       "               &#x27;2009-02-07 12:30:00&#x27;, &#x27;2009-02-07 13:30:00&#x27;,\n",
       "               &#x27;2009-02-07 14:30:00&#x27;, &#x27;2009-02-07 15:30:00&#x27;,\n",
       "               &#x27;2009-02-07 16:30:00&#x27;, &#x27;2009-02-07 17:30:00&#x27;,\n",
       "               &#x27;2009-02-07 18:30:00&#x27;, &#x27;2009-02-07 19:30:00&#x27;,\n",
       "               &#x27;2009-02-07 20:30:00&#x27;, &#x27;2009-02-07 21:30:00&#x27;,\n",
       "               &#x27;2009-02-07 22:30:00&#x27;, &#x27;2009-02-07 23:30:00&#x27;,\n",
       "               &#x27;2009-02-08 00:30:00&#x27;, &#x27;2009-02-08 01:30:00&#x27;,\n",
       "               &#x27;2009-02-08 02:30:00&#x27;, &#x27;2009-02-08 03:30:00&#x27;,\n",
       "               &#x27;2009-02-08 04:30:00&#x27;, &#x27;2009-02-08 05:30:00&#x27;,\n",
       "               &#x27;2009-02-08 06:30:00&#x27;, &#x27;2009-02-08 07:30:00&#x27;,\n",
       "               &#x27;2009-02-08 08:30:00&#x27;, &#x27;2009-02-08 09:30:00&#x27;,\n",
       "               &#x27;2009-02-08 10:30:00&#x27;, &#x27;2009-02-08 11:30:00&#x27;,\n",
       "               &#x27;2009-02-08 12:30:00&#x27;, &#x27;2009-02-08 13:30:00&#x27;,\n",
       "               &#x27;2009-02-08 14:30:00&#x27;, &#x27;2009-02-08 15:30:00&#x27;,\n",
       "               &#x27;2009-02-08 16:30:00&#x27;, &#x27;2009-02-08 17:30:00&#x27;,\n",
       "               &#x27;2009-02-08 18:30:00&#x27;, &#x27;2009-02-08 19:30:00&#x27;,\n",
       "               &#x27;2009-02-08 20:30:00&#x27;, &#x27;2009-02-08 21:30:00&#x27;,\n",
       "               &#x27;2009-02-08 22:30:00&#x27;, &#x27;2009-02-08 23:30:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-121751d6-d61f-4a61-b136-c956b0c8d536' class='xr-index-data-in' type='checkbox'/><label for='index-121751d6-d61f-4a61-b136-c956b0c8d536' 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([ -48.78799819946289,   -48.7681999206543,  -48.74839782714844,\n",
       "       -48.728599548339844, -48.708797454833984,  -48.68899917602539,\n",
       "        -48.66919708251953,  -48.64939880371094,  -48.62959671020508,\n",
       "       -48.609798431396484,\n",
       "       ...\n",
       "        -7.009998321533203,  -6.990200042724609,   -6.97039794921875,\n",
       "        -6.950599670410156,  -6.930797576904297,  -6.910999298095703,\n",
       "        -6.891197204589844,   -6.87139892578125,  -6.851596832275391,\n",
       "        -6.831798553466797],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=2120))</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-c8c77b3a-3a5a-4fbe-9252-678216848a19' class='xr-index-data-in' type='checkbox'/><label for='index-c8c77b3a-3a5a-4fbe-9252-678216848a19' 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([ 107.5199966430664,   107.539794921875,  107.5595932006836,\n",
       "       107.57939910888672, 107.59919738769531,  107.6189956665039,\n",
       "        107.6387939453125, 107.65859985351562, 107.67839813232422,\n",
       "       107.69819641113281,\n",
       "       ...\n",
       "         158.802001953125, 158.82179260253906,  158.8415985107422,\n",
       "       158.86138916015625, 158.88119506835938,  158.9010009765625,\n",
       "       158.92079162597656,  158.9405975341797, 158.96038818359375,\n",
       "       158.98019409179688],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=2600))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-20e79640-94c2-480f-97c8-fb5d5ac163c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-20e79640-94c2-480f-97c8-fb5d5ac163c9' class='xr-section-summary' >Attributes: <span>(56)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 ACDD1.3</dd><dt><span>contact :</span></dt><dd>dsroberts@unimelb.edu.au</dd><dt><span>contributor_email :</span></dt><dd>paola.petrelli@utas.edu.au, sam.green@unsw.edu.au</dd><dt><span>contributor_name :</span></dt><dd>Paola Petrelli, Samuel Green</dd><dt><span>contributor_role :</span></dt><dd>data_curator, data_curator</dd><dt><span>contributor_url :</span></dt><dd>https://orcid.org/0000-0002-0164-5105, https://orcid.org/0000-0003-1129-4676</dd><dt><span>creation_date :</span></dt><dd>2023-10-20T05:20:02Z</dd><dt><span>creator_email :</span></dt><dd>dsroberts@unimelb.edu.au</dd><dt><span>creator_name :</span></dt><dd>Dale Roberts</dd><dt><span>creator_url :</span></dt><dd>https://orcid.org/0000-0003-3952-6344</dd><dt><span>data_specs_version :</span></dt><dd>01.00.00</dd><dt><span>date_created :</span></dt><dd>2023-06-05</dd><dt><span>exp_description :</span></dt><dd>A limited area model study of the entire Australian continent at 2.2 km resolution, using the UM atmospheric model. ERA5+ERA5Land reanalysis data was used to provide initial and boundary conditions. The study covers the time period of 2009-02-05 to 2009-02-08, including the Victoria Black Saturday bushfires.</dd><dt><span>experiment :</span></dt><dd>blacksat</dd><dt><span>experiment_id :</span></dt><dd>blacksat</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>frequency :</span></dt><dd>1hr</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/.institution_idAUS2200.blacksat.sub_experiment_idvariant_label</dd><dt><span>geospatial_lat_max :</span></dt><dd>-6.83</dd><dt><span>geospatial_lat_min :</span></dt><dd>-48.79</dd><dt><span>geospatial_lon_max :</span></dt><dd>158.98</dd><dt><span>geospatial_lon_min :</span></dt><dd>107.52</dd><dt><span>grid :</span></dt><dd>native atmosphere grid (2120x2600 latxlon)</dd><dt><span>history :</span></dt><dd>2023-10-20T05:20:02Z ; CMOR rewrote data to be consistent with , CF-1.7 ACDD1.3 and CF standards.</dd><dt><span>institution :</span></dt><dd>University of Melbourne</dd><dt><span>keywords :</span></dt><dd>Climate change processes, Adverse weather events, Cloud physics</dd><dt><span>nominal_resolution :</span></dt><dd>2.2 km</dd><dt><span>organisation :</span></dt><dd>Centre of Excellence for Climate Extremes</dd><dt><span>parent :</span></dt><dd>False</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>product_version :</span></dt><dd>v1.0</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>UM v12.2 ECMWF ERA5 and ERA5-Land reanalysis fields used as forcings</dd><dt><span>source_id :</span></dt><dd>AUS2200</dd><dt><span>table_id :</span></dt><dd>A1hr</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 June 2023) MD5:71a4110ed3210ee3a5e9f7f71551dad2</dd><dt><span>time_coverage_end :</span></dt><dd>2009-02-08</dd><dt><span>time_coverage_start :</span></dt><dd>2009-02-05</dd><dt><span>title :</span></dt><dd>AUS2200 UM amip 2.2 km simulation of the 2009 Black Saturday bushfire.</dd><dt><span>tracking_id :</span></dt><dd>d44ba2ce-bb32-475e-b054-b2afb29453e6</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>version :</span></dt><dd>v1.0</dd><dt><span>license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>cmor_version :</span></dt><dd>3.7.1</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;tas&#x27;]</dd><dt><span>intake_esm_attrs:path :</span></dt><dd>/g/data/ua8/AUS2200/blacksat/v1-0/1hr/tas_AUS2200_blacksat_1hr_200902050030-200902082330.nc</dd><dt><span>intake_esm_attrs:experiment :</span></dt><dd>blacksat</dd><dt><span>intake_esm_attrs:version :</span></dt><dd>v1-0</dd><dt><span>intake_esm_attrs:table :</span></dt><dd>1hr</dd><dt><span>intake_esm_attrs:variable :</span></dt><dd>tas</dd><dt><span>intake_esm_attrs:experiment_id :</span></dt><dd>blacksat</dd><dt><span>intake_esm_attrs:frequency :</span></dt><dd>1hr</dd><dt><span>intake_esm_attrs:date_range :</span></dt><dd>200902050030-200902082330</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>blacksat.v1-0.1hr.tas</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2GB\n",
       "Dimensions:    (time: 96, bnds: 2, lat: 2120, lon: 2600)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 768B 2009-02-05T00:30:00 ... 2009-02-08T...\n",
       "  * lat        (lat) float64 17kB -48.79 -48.77 -48.75 ... -6.871 -6.852 -6.832\n",
       "  * lon        (lon) float64 21kB 107.5 107.5 107.6 107.6 ... 158.9 159.0 159.0\n",
       "    height     float64 8B ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 2kB dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    lat_bnds   (lat, bnds) float64 34kB dask.array<chunksize=(2120, 2), meta=np.ndarray>\n",
       "    lon_bnds   (lon, bnds) float64 42kB dask.array<chunksize=(2600, 2), meta=np.ndarray>\n",
       "    tas        (time, lat, lon) float32 2GB dask.array<chunksize=(1, 1060, 1300), meta=np.ndarray>\n",
       "Attributes: (12/56)\n",
       "    Conventions:                     CF-1.7 ACDD1.3\n",
       "    contact:                         dsroberts@unimelb.edu.au\n",
       "    contributor_email:               paola.petrelli@utas.edu.au, sam.green@un...\n",
       "    contributor_name:                Paola Petrelli, Samuel Green\n",
       "    contributor_role:                data_curator, data_curator\n",
       "    contributor_url:                 https://orcid.org/0000-0002-0164-5105, h...\n",
       "    ...                              ...\n",
       "    intake_esm_attrs:variable:       tas\n",
       "    intake_esm_attrs:experiment_id:  blacksat\n",
       "    intake_esm_attrs:frequency:      1hr\n",
       "    intake_esm_attrs:date_range:     200902050030-200902082330\n",
       "    intake_esm_attrs:_data_format_:  netcdf\n",
       "    intake_esm_dataset_key:          blacksat.v1-0.1hr.tas"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blacksat_tas = ds_dict['blacksat.v1-0.1hr.tas']\n",
    "blacksat_tas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f25240d6-4379-4ee8-bc09-136dfe5e8404",
   "metadata": {},
   "source": [
    "## Testing NRI style catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a4a9e318-3a2c-4057-89bf-ebcc128cbcd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat = intake.open_catalog('/g/data/ua8/Working/packages/access-nri-intake-catalog/src/access_nri_intake/data/catalog.yaml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "85d9fcf7-6e86-447a-8752-8ac6e64d3764",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['access_nri']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e6fbca15-c46e-4638-8e3b-e4ce0541809a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p><strong>access_nri catalog with 1 source(s) across 3 rows</strong>:</p> <div style='max-height: 300px; overflow: auto; width: fit-content'><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>model</th>\n",
       "      <th>description</th>\n",
       "      <th>realm</th>\n",
       "      <th>frequency</th>\n",
       "      <th>variable</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AUS2200</th>\n",
       "      <td>{AUS2200 (UM v12.2)}</td>\n",
       "      <td>{AUS2200 simulations collections. Each simulation is a limited area model study of the entire Australian continent at 2.2 km resolution, using the UM atmospheric model. \\n         This dataset is ...</td>\n",
       "      <td>{atmos}</td>\n",
       "      <td>{1hr, subhr, fx}</td>\n",
       "      <td>{theta, cli, hfls, pralsprof, clhigh, uas, hfss, cl, rss, reflmax, hus, tas, refl, nflash, psl, va, vas, amwet, clmed, huss, lmask, rsdt, rsut, orog, storm, wsgmax10m, rainmxrat, mrso, pralsns, cl...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat['access_nri']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dfc5eff4-e6c6-4c03-a1ee-6b1584cabaf5",
   "metadata": {},
   "outputs": [],
   "source": [
    "aus2200 = cat['access_nri'].search(name='AUS2200').to_source()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d883833c-e1b4-463d-b9ed-385576942477",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p><strong>AUS2200 catalog with 60 dataset(s) from 5925 asset(s)</strong>:</p> <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>path</th>\n",
       "      <td>5925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file_id</th>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>realm</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable</th>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frequency</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>start_date</th>\n",
       "      <td>376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>end_date</th>\n",
       "      <td>315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>member</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable_long_name</th>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable_standard_name</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable_cell_methods</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable_units</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>filename</th>\n",
       "      <td>5925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tracking_id</th>\n",
       "      <td>5925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>version</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>derived_variable</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aus2200"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "13d5617a-88c8-4106-8d11-5c8508b5335f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['amdry',\n",
       " 'amwet',\n",
       " 'clhigh',\n",
       " 'cllow',\n",
       " 'clmed',\n",
       " 'clmxro',\n",
       " 'hus',\n",
       " 'nflash',\n",
       " 'pralsns',\n",
       " 'pralsprof',\n",
       " 'ps',\n",
       " 'psl',\n",
       " 'reflmax',\n",
       " 'storm',\n",
       " 'tas',\n",
       " 'tdps',\n",
       " 'ts',\n",
       " 'uas',\n",
       " 'vas',\n",
       " 'wsgmax10m',\n",
       " 'cl',\n",
       " 'cli',\n",
       " 'clw',\n",
       " 'eow',\n",
       " 'estot',\n",
       " 'evspsbl',\n",
       " 'grplmxrat',\n",
       " 'hfls',\n",
       " 'hfss',\n",
       " 'huss',\n",
       " 'mrso',\n",
       " 'mrsol',\n",
       " 'pfull',\n",
       " 'phalf',\n",
       " 'rainmxrat',\n",
       " 'refl',\n",
       " 'rlds',\n",
       " 'rls',\n",
       " 'rlut',\n",
       " 'rsds',\n",
       " 'rsdsdiff',\n",
       " 'rsdsdir',\n",
       " 'rsdt',\n",
       " 'rss',\n",
       " 'rsut',\n",
       " 'ta',\n",
       " 'theta',\n",
       " 'tke',\n",
       " 'ua',\n",
       " 'va',\n",
       " 'wa',\n",
       " 'z0',\n",
       " 'zmla',\n",
       " 'lmask',\n",
       " 'orog']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aus2200.unique()['variable']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b99ef9d5-a95a-4081-b7b6-eff92037e72c",
   "metadata": {},
   "outputs": [],
   "source": [
    "subset = aus2200.search(variable='tas', frequency='1hr', start_date=r'2016-01-2.*')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "70e44b50-39b9-482d-9136-89d1a292be72",
   "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>path</th>\n",
       "      <th>file_id</th>\n",
       "      <th>realm</th>\n",
       "      <th>variable</th>\n",
       "      <th>frequency</th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>member</th>\n",
       "      <th>variable_long_name</th>\n",
       "      <th>variable_standard_name</th>\n",
       "      <th>variable_cell_methods</th>\n",
       "      <th>variable_units</th>\n",
       "      <th>filename</th>\n",
       "      <th>tracking_id</th>\n",
       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/g/data/ua8/AUS2200/mjo-elnino/v1-0/1hr/tas/tas_AUS2200_mjo-elnino_1hr_201601220030-201601282330.nc</td>\n",
       "      <td>tas</td>\n",
       "      <td>atmos</td>\n",
       "      <td>[tas]</td>\n",
       "      <td>1hr</td>\n",
       "      <td>2016-01-22, 00:30:00</td>\n",
       "      <td>2016-01-28, 23:30:00</td>\n",
       "      <td>unknown</td>\n",
       "      <td>[Near-Surface Air Temperature]</td>\n",
       "      <td>[air_temperature]</td>\n",
       "      <td>[area: mean time: mean]</td>\n",
       "      <td>[K]</td>\n",
       "      <td>tas_AUS2200_mjo-elnino_1hr_201601220030-201601282330.nc</td>\n",
       "      <td>ddbb5db8-42e3-4a2c-87d3-59d5af39b409</td>\n",
       "      <td>v1-0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/g/data/ua8/AUS2200/mjo-elnino/v1-0/1hr/tas/tas_AUS2200_mjo-elnino_1hr_201601290030-201602042330.nc</td>\n",
       "      <td>tas</td>\n",
       "      <td>atmos</td>\n",
       "      <td>[tas]</td>\n",
       "      <td>1hr</td>\n",
       "      <td>2016-01-29, 00:30:00</td>\n",
       "      <td>2016-02-04, 23:30:00</td>\n",
       "      <td>unknown</td>\n",
       "      <td>[Near-Surface Air Temperature]</td>\n",
       "      <td>[air_temperature]</td>\n",
       "      <td>[area: mean time: mean]</td>\n",
       "      <td>[K]</td>\n",
       "      <td>tas_AUS2200_mjo-elnino_1hr_201601290030-201602042330.nc</td>\n",
       "      <td>e8b9c5e7-79e2-4a38-978f-e4945dfd2219</td>\n",
       "      <td>v1-0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                  path  \\\n",
       "0  /g/data/ua8/AUS2200/mjo-elnino/v1-0/1hr/tas/tas_AUS2200_mjo-elnino_1hr_201601220030-201601282330.nc   \n",
       "1  /g/data/ua8/AUS2200/mjo-elnino/v1-0/1hr/tas/tas_AUS2200_mjo-elnino_1hr_201601290030-201602042330.nc   \n",
       "\n",
       "  file_id  realm variable frequency            start_date  \\\n",
       "0     tas  atmos    [tas]       1hr  2016-01-22, 00:30:00   \n",
       "1     tas  atmos    [tas]       1hr  2016-01-29, 00:30:00   \n",
       "\n",
       "               end_date   member              variable_long_name  \\\n",
       "0  2016-01-28, 23:30:00  unknown  [Near-Surface Air Temperature]   \n",
       "1  2016-02-04, 23:30:00  unknown  [Near-Surface Air Temperature]   \n",
       "\n",
       "  variable_standard_name    variable_cell_methods variable_units  \\\n",
       "0      [air_temperature]  [area: mean time: mean]            [K]   \n",
       "1      [air_temperature]  [area: mean time: mean]            [K]   \n",
       "\n",
       "                                                  filename  \\\n",
       "0  tas_AUS2200_mjo-elnino_1hr_201601220030-201601282330.nc   \n",
       "1  tas_AUS2200_mjo-elnino_1hr_201601290030-201602042330.nc   \n",
       "\n",
       "                            tracking_id version  \n",
       "0  ddbb5db8-42e3-4a2c-87d3-59d5af39b409    v1-0  \n",
       "1  e8b9c5e7-79e2-4a38-978f-e4945dfd2219    v1-0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subset.df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0ea6e56a-c0c8-4db3-93d6-b8b5a2b83b0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
      "\t'file_id.frequency'\n"
     ]
    },
    {
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       "      <progress value='1' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [1/1 00:15&lt;00:00]\n",
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   ],
   "source": [
    "dsets = subset.to_dataset_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "48ee91b7-1883-42c4-983a-7f5820274d94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'tas.1hr': <xarray.Dataset> Size: 7GB\n",
       " Dimensions:  (member: 1, time: 336, lat: 2120, lon: 2600)\n",
       " Coordinates:\n",
       "   * time     (time) datetime64[ns] 3kB 2016-01-22T00:30:00.000000256 ... 2016...\n",
       "   * lat      (lat) float64 17kB -48.79 -48.77 -48.75 ... -6.871 -6.852 -6.832\n",
       "   * lon      (lon) float64 21kB 107.5 107.5 107.6 107.6 ... 158.9 159.0 159.0\n",
       "     height   float64 8B 1.5\n",
       "   * member   (member) object 8B 'unknown'\n",
       " Data variables:\n",
       "     tas      (member, time, lat, lon) float32 7GB dask.array<chunksize=(1, 1, 1060, 1300), meta=np.ndarray>\n",
       " Attributes: (12/55)\n",
       "     Conventions:                              CF-1.7 ACDD1.3\n",
       "     contact:                                  dsroberts@unimelb.edu.au\n",
       "     contributor_email:                        paola.petrelli@utas.edu.au, sam...\n",
       "     contributor_name:                         Paola Petrelli, Samuel Green\n",
       "     contributor_role:                         data_curator, data_curator\n",
       "     contributor_url:                          https://orcid.org/0000-0002-016...\n",
       "     ...                                       ...\n",
       "     intake_esm_attrs:variable_standard_name:  air_temperature\n",
       "     intake_esm_attrs:variable_cell_methods:   area: mean time: mean\n",
       "     intake_esm_attrs:variable_units:          K\n",
       "     intake_esm_attrs:version:                 v1-0\n",
       "     intake_esm_attrs:_data_format_:           netcdf\n",
       "     intake_esm_dataset_key:                   tas.1hr}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsets"
   ]
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  {
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   "execution_count": null,
   "id": "414e40b4-4c88-4de0-9b48-f533dc18d363",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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