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ScottWales/20210109-codebreak-window-percentile.ipynb

Created September 1, 2021 05:02
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20210109-codebreak-window-percentile.ipynb
{
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"id": "72f29fe4-a3e0-4a53-b8b2-c05ed0b1195e",
"metadata": {},
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"source": [
"ls /g/data/fs38/publications/CMIP6/CMIP/CSIRO/ACCESS-ESM1-5/amip/r1i1p1f1/day/tas/gn/latest"
]
},
{
"cell_type": "code",
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{
"name": "stderr",
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"text": [
"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/node.py:160: UserWarning: Port 8787 is already in use.\n",
"Perhaps you already have a cluster running?\n",
"Hosting the HTTP server on port 34527 instead\n",
" warnings.warn(\n",
"distributed.diskutils - INFO - Found stale lock file and directory '/local/w35/saw562/tmp/dask-worker-space/worker-pfcp665l', purging\n"
]
},
{
"data": {
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" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-a77bdf02-0ade-11ec-8b60-fa163ee2180d</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
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"\n",
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" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"/node/ood-vn13/17349/proxy/34527/status\" target=\"_blank\">/node/ood-vn13/17349/proxy/34527/status</a>\n",
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" \n",
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" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
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" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">57b98030</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
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" <strong>Dashboard:</strong> <a href=\"/node/ood-vn13/17349/proxy/34527/status\" target=\"_blank\">/node/ood-vn13/17349/proxy/34527/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 4\n",
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" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 4\n",
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" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 11.23 GiB\n",
" </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
" <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
"</tr>\n",
"\n",
" \n",
" </table>\n",
"\n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
" </summary>\n",
"\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm:</strong> tcp://127.0.0.1:42503\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 4\n",
" </td>\n",
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" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"/node/ood-vn13/17349/proxy/34527/status\" target=\"_blank\">/node/ood-vn13/17349/proxy/34527/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> Just now\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 11.23 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:44225\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
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" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"/node/ood-vn13/17349/proxy/38317/status\" target=\"_blank\">/node/ood-vn13/17349/proxy/38317/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 2.81 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:38991\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /local/w35/saw562/tmp/dask-worker-space/worker-oryizsn3\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
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" </details>\n",
" </div>\n",
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" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:40349\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"/node/ood-vn13/17349/proxy/44663/status\" target=\"_blank\">/node/ood-vn13/17349/proxy/44663/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 2.81 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:39901\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /local/w35/saw562/tmp/dask-worker-space/worker-yu2ogfne\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
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" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:44287\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"/node/ood-vn13/17349/proxy/33567/status\" target=\"_blank\">/node/ood-vn13/17349/proxy/33567/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 2.81 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:44267\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /local/w35/saw562/tmp/dask-worker-space/worker-5v6f23io\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:42257\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"/node/ood-vn13/17349/proxy/37719/status\" target=\"_blank\">/node/ood-vn13/17349/proxy/37719/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 2.81 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:40555\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /local/w35/saw562/tmp/dask-worker-space/worker-xa89m3d7\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
"\n",
" </details>\n",
" </div>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
"<Client: 'tcp://127.0.0.1:42503' processes=4 threads=4, memory=11.23 GiB>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import climtas.nci\n",
"climtas.nci.Client()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "ee62fb28-74e9-4f4a-a550-0fd37350877a",
"metadata": {},
"outputs": [],
"source": [
"import xarray"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "f753f290-127e-4f69-8b6c-166ae4cf98b0",
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"\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",
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"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
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"\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",
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"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
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"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
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"\n",
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".xr-preview,\n",
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".xr-var-data {\n",
" display: none;\n",
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" padding-bottom: 5px !important;\n",
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"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
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"\n",
".xr-var-name span,\n",
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" padding-left: 25px !important;\n",
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"\n",
".xr-attrs,\n",
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"\n",
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"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
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"\n",
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" font-weight: normal;\n",
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"\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 13149, bnds: 2, lat: 145, lon: 192)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-01-01T12:00:00 ... 2014-12-31T12:00:00\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
" * lon (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
" height float64 ...\n",
"Dimensions without coordinates: bnds\n",
"Data variables:\n",
" time_bnds (time, bnds) datetime64[ns] dask.array&lt;chunksize=(300, 2), meta=np.ndarray&gt;\n",
" lat_bnds (lat, bnds) float64 dask.array&lt;chunksize=(145, 2), meta=np.ndarray&gt;\n",
" lon_bnds (lon, bnds) float64 dask.array&lt;chunksize=(192, 2), meta=np.ndarray&gt;\n",
" tas (time, lat, lon) float32 dask.array&lt;chunksize=(300, 145, 192), meta=np.ndarray&gt;\n",
"Attributes: (12/47)\n",
" Conventions: CF-1.7 CMIP-6.2\n",
" activity_id: CMIP\n",
" branch_method: no parent\n",
" branch_time_in_child: 0.0\n",
" branch_time_in_parent: 0.0\n",
" creation_date: 2019-11-14T05:08:46Z\n",
" ... ...\n",
" variable_id: tas\n",
" variant_label: r1i1p1f1\n",
" version: v20191114\n",
" cmor_version: 3.4.0\n",
" tracking_id: hdl:21.14100/780434c3-3a74-4cfc-ae70-d125e5934b56\n",
" license: CMIP6 model data produced by CSIRO is licensed un...</pre><div class='xr-wrap' hidden><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-b7409eef-954f-41fd-8d10-8f95c7131089' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b7409eef-954f-41fd-8d10-8f95c7131089' 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>: 13149</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-252e834e-e0d9-461a-9600-40c30b3e19b5' class='xr-section-summary-in' type='checkbox' checked><label for='section-252e834e-e0d9-461a-9600-40c30b3e19b5' 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'>1979-01-01T12:00:00 ... 2014-12-...</div><input id='attrs-74db3cdd-307c-429f-a4f4-4f747aeb151e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74db3cdd-307c-429f-a4f4-4f747aeb151e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0e09873-c923-4585-93dc-ec77a424e3a8' class='xr-var-data-in' type='checkbox'><label for='data-a0e09873-c923-4585-93dc-ec77a424e3a8' 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;1979-01-01T12:00:00.000000000&#x27;, &#x27;1979-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1979-01-03T12:00:00.000000000&#x27;, ..., &#x27;2014-12-29T12:00:00.000000000&#x27;,\n",
" &#x27;2014-12-30T12:00:00.000000000&#x27;, &#x27;2014-12-31T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-45634d1d-5676-4eba-8c96-b9210936ed2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45634d1d-5676-4eba-8c96-b9210936ed2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb042541-d6e7-475c-a36c-4bb03243523f' class='xr-var-data-in' type='checkbox'><label for='data-cb042541-d6e7-475c-a36c-4bb03243523f' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ab5cf21a-e0d0-4210-94ff-b7cf78cdfcd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab5cf21a-e0d0-4210-94ff-b7cf78cdfcd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23ade78d-6c95-4a48-a1c8-dc773edf6622' class='xr-var-data-in' type='checkbox'><label for='data-23ade78d-6c95-4a48-a1c8-dc773edf6622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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-4abeae6e-aa6c-46d8-8cb1-91bfb8701c33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4abeae6e-aa6c-46d8-8cb1-91bfb8701c33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed564994-9b38-4716-baa9-5819f2a7a288' class='xr-var-data-in' type='checkbox'><label for='data-ed564994-9b38-4716-baa9-5819f2a7a288' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e1c72930-7529-4824-bcf5-2aa3d78529d0' class='xr-section-summary-in' type='checkbox' checked><label for='section-e1c72930-7529-4824-bcf5-2aa3d78529d0' 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=(300, 2), meta=np.ndarray&gt;</div><input id='attrs-de2f3baa-a608-4cd9-90fc-d84a797d344d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de2f3baa-a608-4cd9-90fc-d84a797d344d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f7b011d-5f52-4d18-bfae-4e572931cbd4' class='xr-var-data-in' type='checkbox'><label for='data-5f7b011d-5f52-4d18-bfae-4e572931cbd4' 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>\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> 205.45 kiB </td>\n",
" <td> 4.69 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13149, 2) </td>\n",
" <td> (300, 2) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 45 Tasks </td>\n",
" <td> 44 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> datetime64[ns] </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
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" <tr>\n",
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"aerosol: CLASSIC (v1.0)\n",
"atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\n",
"atmosChem: none\n",
"land: CABLE2.4\n",
"landIce: none\n",
"ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\n",
"ocnBgchem: WOMBAT (same grid as ocean)\n",
"seaIce: CICE4.1 (same grid as ocean)</dd><dt><span>source_id :</span></dt><dd>ACCESS-ESM1-5</dd><dt><span>source_type :</span></dt><dd>AGCM</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371</dd><dt><span>title :</span></dt><dd>ACCESS-ESM1-5 output prepared for CMIP6</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20191114</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/780434c3-3a74-4cfc-ae70-d125e5934b56</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
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"Coordinates:\n",
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" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
" * lon (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
" height float64 ...\n",
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" tas (time, lat, lon) float32 dask.array<chunksize=(300, 145, 192), meta=np.ndarray>\n",
"Attributes: (12/47)\n",
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" activity_id: CMIP\n",
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" ... ...\n",
" variable_id: tas\n",
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" license: CMIP6 model data produced by CSIRO is licensed un..."
]
},
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"metadata": {},
"output_type": "execute_result"
}
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"</table></div></div></li><li class='xr-section-item'><input id='section-8b119714-8f67-4e03-853f-92ef322b7a30' class='xr-section-summary-in' type='checkbox' checked><label for='section-8b119714-8f67-4e03-853f-92ef322b7a30' 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'>1979-01-01T12:00:00 ... 2014-01-...</div><input id='attrs-5d488260-5921-44e8-ace5-6db687fbd77a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d488260-5921-44e8-ace5-6db687fbd77a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2877aa5d-8359-4ff3-b19e-ca7a4170ca5a' class='xr-var-data-in' type='checkbox'><label for='data-2877aa5d-8359-4ff3-b19e-ca7a4170ca5a' 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;1979-01-01T12:00:00.000000000&#x27;, &#x27;1980-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-01T12:00:00.000000000&#x27;, &#x27;1982-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-01T12:00:00.000000000&#x27;, &#x27;1984-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-01T12:00:00.000000000&#x27;, &#x27;1986-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-01T12:00:00.000000000&#x27;, &#x27;1988-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-01T12:00:00.000000000&#x27;, &#x27;1990-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-01T12:00:00.000000000&#x27;, &#x27;1992-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-01T12:00:00.000000000&#x27;, &#x27;1994-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-01T12:00:00.000000000&#x27;, &#x27;1996-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-01T12:00:00.000000000&#x27;, &#x27;1998-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-01T12:00:00.000000000&#x27;, &#x27;2000-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-01T12:00:00.000000000&#x27;, &#x27;2002-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-01T12:00:00.000000000&#x27;, &#x27;2004-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-01T12:00:00.000000000&#x27;, &#x27;2006-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-01T12:00:00.000000000&#x27;, &#x27;2008-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-01T12:00:00.000000000&#x27;, &#x27;2010-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-01T12:00:00.000000000&#x27;, &#x27;2012-01-01T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-01T12:00:00.000000000&#x27;, &#x27;2014-01-01T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-e42e7d6e-34a1-42f0-9b7a-28ca64240f1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e42e7d6e-34a1-42f0-9b7a-28ca64240f1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31fb1d93-d6b3-44f4-92a4-e96da2bd7562' class='xr-var-data-in' type='checkbox'><label for='data-31fb1d93-d6b3-44f4-92a4-e96da2bd7562' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-6bb941f8-3d8a-4e2c-b23f-bb0a28998fbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bb941f8-3d8a-4e2c-b23f-bb0a28998fbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29c0b002-a0b3-44c4-b152-2edd320e63ab' class='xr-var-data-in' type='checkbox'><label for='data-29c0b002-a0b3-44c4-b152-2edd320e63ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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-7eb10d76-ac4e-4ca3-a1cf-acf9df268517' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7eb10d76-ac4e-4ca3-a1cf-acf9df268517' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01a0fe7f-2669-4c32-b11e-f276983e1b21' class='xr-var-data-in' type='checkbox'><label for='data-01a0fe7f-2669-4c32-b11e-f276983e1b21' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78d886ab-b1ce-4ec1-a5e1-dfda9f0b1419' class='xr-section-summary-in' type='checkbox' checked><label for='section-78d886ab-b1ce-4ec1-a5e1-dfda9f0b1419' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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" comment: near-surface (usually, 2 meter) air temperature\n",
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" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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" display: none;\n",
" grid-column: 1 / -1;\n",
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"\n",
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"\n",
".xr-array-wrap {\n",
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"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
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"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
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"\n",
".xr-dim-list:before {\n",
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"\n",
".xr-dim-list:after {\n",
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"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
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"\n",
".xr-has-index {\n",
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"}\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",
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"\n",
".xr-var-item > .xr-var-name:hover span {\n",
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".xr-var-data {\n",
" display: none;\n",
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".xr-icon-database,\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-01-02T12:00:00 ... 2014-01-02T12:00:00\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
" * lon (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-87280d20-e6d1-488a-8df2-0332f5358331' class='xr-array-in' type='checkbox' checked><label for='section-87280d20-e6d1-488a-8df2-0332f5358331' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
" <tr>\n",
" <td>\n",
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" <th> Chunk </th>\n",
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" <tbody>\n",
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" <th> Bytes </th>\n",
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" <td> (36, 145, 192, 31) </td>\n",
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" <th> Count </th>\n",
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" <th> Type </th>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-bbe48773-39b5-4400-b9b8-c63d2fc232ca' class='xr-section-summary-in' type='checkbox' checked><label for='section-bbe48773-39b5-4400-b9b8-c63d2fc232ca' 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'>1979-01-02T12:00:00 ... 2014-01-...</div><input id='attrs-530f8669-d89a-47e3-bfb8-041e7c50f25e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-530f8669-d89a-47e3-bfb8-041e7c50f25e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc7d736d-752e-4a29-990a-912b226009e9' class='xr-var-data-in' type='checkbox'><label for='data-bc7d736d-752e-4a29-990a-912b226009e9' 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;1979-01-02T12:00:00.000000000&#x27;, &#x27;1980-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-02T12:00:00.000000000&#x27;, &#x27;1982-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-02T12:00:00.000000000&#x27;, &#x27;1984-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-02T12:00:00.000000000&#x27;, &#x27;1986-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-02T12:00:00.000000000&#x27;, &#x27;1988-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-02T12:00:00.000000000&#x27;, &#x27;1990-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-02T12:00:00.000000000&#x27;, &#x27;1992-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-02T12:00:00.000000000&#x27;, &#x27;1994-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-02T12:00:00.000000000&#x27;, &#x27;1996-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-02T12:00:00.000000000&#x27;, &#x27;1998-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-02T12:00:00.000000000&#x27;, &#x27;2000-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-02T12:00:00.000000000&#x27;, &#x27;2002-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-02T12:00:00.000000000&#x27;, &#x27;2004-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-02T12:00:00.000000000&#x27;, &#x27;2006-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-02T12:00:00.000000000&#x27;, &#x27;2008-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-02T12:00:00.000000000&#x27;, &#x27;2010-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-02T12:00:00.000000000&#x27;, &#x27;2012-01-02T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-02T12:00:00.000000000&#x27;, &#x27;2014-01-02T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-036c0204-0398-45d8-b0fb-5798d072a60a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-036c0204-0398-45d8-b0fb-5798d072a60a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1eece51b-f700-4d30-9422-9339913026d0' class='xr-var-data-in' type='checkbox'><label for='data-1eece51b-f700-4d30-9422-9339913026d0' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-e8f71bc3-db57-4f87-bf77-68754ed87690' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8f71bc3-db57-4f87-bf77-68754ed87690' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70a8bbdb-b705-417f-951c-2b6d3f2529b3' class='xr-var-data-in' type='checkbox'><label for='data-70a8bbdb-b705-417f-951c-2b6d3f2529b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-f4d3d3f3-93a3-4d4e-ad8d-94457ef0bb83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d3d3f3-93a3-4d4e-ad8d-94457ef0bb83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff8e8470-8f71-46cc-b294-4ee0cb6b1cc5' class='xr-var-data-in' type='checkbox'><label for='data-ff8e8470-8f71-46cc-b294-4ee0cb6b1cc5' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26d26f96-9777-4ccd-9bfb-f94a5b3354c3' class='xr-section-summary-in' type='checkbox' checked><label for='section-26d26f96-9777-4ccd-9bfb-f94a5b3354c3' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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" cell_methods: area: time: mean\n",
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" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
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" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
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" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1884945a-cb2f-4a79-8e90-63f5f2b8cc1b' class='xr-array-in' type='checkbox' checked><label for='section-1884945a-cb2f-4a79-8e90-63f5f2b8cc1b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-3f485d73-1a6d-423c-a4ed-915a6bafb7d3' class='xr-section-summary-in' type='checkbox' checked><label for='section-3f485d73-1a6d-423c-a4ed-915a6bafb7d3' 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'>1979-01-03T12:00:00 ... 2014-01-...</div><input id='attrs-28315973-291c-4f2a-9a37-6f0857695ef3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28315973-291c-4f2a-9a37-6f0857695ef3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c56d63c-c831-4fe3-b792-371082845547' class='xr-var-data-in' type='checkbox'><label for='data-1c56d63c-c831-4fe3-b792-371082845547' 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;1979-01-03T12:00:00.000000000&#x27;, &#x27;1980-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-03T12:00:00.000000000&#x27;, &#x27;1982-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-03T12:00:00.000000000&#x27;, &#x27;1984-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-03T12:00:00.000000000&#x27;, &#x27;1986-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-03T12:00:00.000000000&#x27;, &#x27;1988-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-03T12:00:00.000000000&#x27;, &#x27;1990-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-03T12:00:00.000000000&#x27;, &#x27;1992-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-03T12:00:00.000000000&#x27;, &#x27;1994-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-03T12:00:00.000000000&#x27;, &#x27;1996-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-03T12:00:00.000000000&#x27;, &#x27;1998-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-03T12:00:00.000000000&#x27;, &#x27;2000-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-03T12:00:00.000000000&#x27;, &#x27;2002-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-03T12:00:00.000000000&#x27;, &#x27;2004-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-03T12:00:00.000000000&#x27;, &#x27;2006-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-03T12:00:00.000000000&#x27;, &#x27;2008-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-03T12:00:00.000000000&#x27;, &#x27;2010-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-03T12:00:00.000000000&#x27;, &#x27;2012-01-03T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-03T12:00:00.000000000&#x27;, &#x27;2014-01-03T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-90ebe914-b969-4513-aed5-72b9428e76e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90ebe914-b969-4513-aed5-72b9428e76e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86554a38-71d7-4739-ac6a-2c90b6689adb' class='xr-var-data-in' type='checkbox'><label for='data-86554a38-71d7-4739-ac6a-2c90b6689adb' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
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" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-329be404-233b-45a6-86e6-435950d04155' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-329be404-233b-45a6-86e6-435950d04155' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdc361ba-e14d-4b1f-b83f-46324437ad5a' class='xr-var-data-in' type='checkbox'><label for='data-bdc361ba-e14d-4b1f-b83f-46324437ad5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
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" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
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" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-35ae497d-cc30-43b1-aefe-5667da700252' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35ae497d-cc30-43b1-aefe-5667da700252' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3a547b8-8625-4e3d-8309-534f89b3e291' class='xr-var-data-in' type='checkbox'><label for='data-d3a547b8-8625-4e3d-8309-534f89b3e291' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8448ba35-42be-403e-9584-45224afffdd2' class='xr-section-summary-in' type='checkbox' checked><label for='section-8448ba35-42be-403e-9584-45224afffdd2' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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" comment: near-surface (usually, 2 meter) air temperature\n",
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" cell_methods: area: time: mean\n",
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" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
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" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7c30fb00-8c11-4d76-a7ac-a90b44a85e9b' class='xr-array-in' type='checkbox' checked><label for='section-7c30fb00-8c11-4d76-a7ac-a90b44a85e9b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-6efe0167-8bbb-41b8-a897-2ea14f306c39' class='xr-section-summary-in' type='checkbox' checked><label for='section-6efe0167-8bbb-41b8-a897-2ea14f306c39' 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'>1979-01-04T12:00:00 ... 2014-01-...</div><input id='attrs-233c746d-9bda-4040-aaed-ea9632bfc955' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-233c746d-9bda-4040-aaed-ea9632bfc955' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1659ae6f-1d18-4378-947e-39c3d2d81eb1' class='xr-var-data-in' type='checkbox'><label for='data-1659ae6f-1d18-4378-947e-39c3d2d81eb1' 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;1979-01-04T12:00:00.000000000&#x27;, &#x27;1980-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-04T12:00:00.000000000&#x27;, &#x27;1982-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-04T12:00:00.000000000&#x27;, &#x27;1984-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-04T12:00:00.000000000&#x27;, &#x27;1986-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-04T12:00:00.000000000&#x27;, &#x27;1988-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-04T12:00:00.000000000&#x27;, &#x27;1990-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-04T12:00:00.000000000&#x27;, &#x27;1992-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-04T12:00:00.000000000&#x27;, &#x27;1994-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-04T12:00:00.000000000&#x27;, &#x27;1996-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-04T12:00:00.000000000&#x27;, &#x27;1998-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-04T12:00:00.000000000&#x27;, &#x27;2000-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-04T12:00:00.000000000&#x27;, &#x27;2002-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-04T12:00:00.000000000&#x27;, &#x27;2004-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-04T12:00:00.000000000&#x27;, &#x27;2006-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-04T12:00:00.000000000&#x27;, &#x27;2008-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-04T12:00:00.000000000&#x27;, &#x27;2010-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-04T12:00:00.000000000&#x27;, &#x27;2012-01-04T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-04T12:00:00.000000000&#x27;, &#x27;2014-01-04T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-1ef53e47-d377-4ab0-8ead-351aae38b9bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ef53e47-d377-4ab0-8ead-351aae38b9bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63d01536-d73f-4f47-9cf3-0085859250e6' class='xr-var-data-in' type='checkbox'><label for='data-63d01536-d73f-4f47-9cf3-0085859250e6' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-326edf09-48b1-4add-8dec-6af345ea70c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-326edf09-48b1-4add-8dec-6af345ea70c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58f897e8-36df-42f8-8938-849ec6a17c29' class='xr-var-data-in' type='checkbox'><label for='data-58f897e8-36df-42f8-8938-849ec6a17c29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-90229c35-d871-458e-8eef-9ffeb5b33d38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90229c35-d871-458e-8eef-9ffeb5b33d38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81cc6028-606a-4ec1-a85a-a08808edf2df' class='xr-var-data-in' type='checkbox'><label for='data-81cc6028-606a-4ec1-a85a-a08808edf2df' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18dea88d-8bfa-44e4-a14d-b8228840c8f4' class='xr-section-summary-in' type='checkbox' checked><label for='section-18dea88d-8bfa-44e4-a14d-b8228840c8f4' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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"<xarray.DataArray 'tas' (time: 36, lat: 145, lon: 192, window: 31)>\n",
"dask.array<getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-01-04T12:00:00 ... 2014-01-04T12:00:00\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
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"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"}\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",
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"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
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"\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",
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"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
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".xr-var-list > li:nth-child(odd) > div,\n",
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".xr-var-data {\n",
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".xr-icon-database,\n",
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" vertical-align: middle;\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-01-05T12:00:00 ... 2014-01-05T12:00:00\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
" * lon (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-48b8133c-9597-448c-9c4b-feaeea6c0fea' class='xr-array-in' type='checkbox' checked><label for='section-48b8133c-9597-448c-9c4b-feaeea6c0fea' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
" <tr>\n",
" <td>\n",
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" <th> Chunk </th>\n",
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" </thead>\n",
" <tbody>\n",
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" <th> Bytes </th>\n",
" <td> 118.52 MiB </td>\n",
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" <td> (36, 145, 192, 31) </td>\n",
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" <th> Count </th>\n",
" <td> 399 Tasks </td>\n",
" <td> 36 Chunks </td>\n",
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" <th> Type </th>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-7f6c9ad0-8f11-40a4-9f71-95ed8545877a' class='xr-section-summary-in' type='checkbox' checked><label for='section-7f6c9ad0-8f11-40a4-9f71-95ed8545877a' 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'>1979-01-05T12:00:00 ... 2014-01-...</div><input id='attrs-11e483f3-8f22-44bc-ad94-4c03ee9229d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11e483f3-8f22-44bc-ad94-4c03ee9229d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26887eae-4719-49af-bbbc-318732a6c5f3' class='xr-var-data-in' type='checkbox'><label for='data-26887eae-4719-49af-bbbc-318732a6c5f3' 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;1979-01-05T12:00:00.000000000&#x27;, &#x27;1980-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-05T12:00:00.000000000&#x27;, &#x27;1982-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-05T12:00:00.000000000&#x27;, &#x27;1984-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-05T12:00:00.000000000&#x27;, &#x27;1986-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-05T12:00:00.000000000&#x27;, &#x27;1988-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-05T12:00:00.000000000&#x27;, &#x27;1990-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-05T12:00:00.000000000&#x27;, &#x27;1992-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-05T12:00:00.000000000&#x27;, &#x27;1994-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-05T12:00:00.000000000&#x27;, &#x27;1996-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-05T12:00:00.000000000&#x27;, &#x27;1998-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-05T12:00:00.000000000&#x27;, &#x27;2000-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-05T12:00:00.000000000&#x27;, &#x27;2002-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-05T12:00:00.000000000&#x27;, &#x27;2004-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-05T12:00:00.000000000&#x27;, &#x27;2006-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-05T12:00:00.000000000&#x27;, &#x27;2008-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-05T12:00:00.000000000&#x27;, &#x27;2010-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-05T12:00:00.000000000&#x27;, &#x27;2012-01-05T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-05T12:00:00.000000000&#x27;, &#x27;2014-01-05T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-f9f43649-45a7-419d-94b6-01dd62fddebd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9f43649-45a7-419d-94b6-01dd62fddebd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86d20ada-03b1-4ef8-8a5d-7d3bdd3350ae' class='xr-var-data-in' type='checkbox'><label for='data-86d20ada-03b1-4ef8-8a5d-7d3bdd3350ae' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-57c61074-50f1-44f7-95e2-cd462be8ae71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57c61074-50f1-44f7-95e2-cd462be8ae71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2a4e662-69df-4acc-82a9-df69418b9c48' class='xr-var-data-in' type='checkbox'><label for='data-e2a4e662-69df-4acc-82a9-df69418b9c48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-13ef97ec-3aa3-426b-aabf-e515bf58765f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13ef97ec-3aa3-426b-aabf-e515bf58765f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feb45e48-7ae4-4f86-b8e8-a51438e2beac' class='xr-var-data-in' type='checkbox'><label for='data-feb45e48-7ae4-4f86-b8e8-a51438e2beac' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a290adfe-2483-4e42-8d90-2152fd7d97aa' class='xr-section-summary-in' type='checkbox' checked><label for='section-a290adfe-2483-4e42-8d90-2152fd7d97aa' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
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" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-501a2b24-5825-4f07-ba52-fb09e0822031' class='xr-array-in' type='checkbox' checked><label for='section-501a2b24-5825-4f07-ba52-fb09e0822031' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-788453b1-48fe-4f8c-b8c3-ecdf5f6c130e' class='xr-section-summary-in' type='checkbox' checked><label for='section-788453b1-48fe-4f8c-b8c3-ecdf5f6c130e' 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'>1979-01-06T12:00:00 ... 2014-01-...</div><input id='attrs-ad469afd-8137-4ddd-a33b-f9d8700a665b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad469afd-8137-4ddd-a33b-f9d8700a665b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c87dceb2-29d2-4654-a2ec-223665ab759b' class='xr-var-data-in' type='checkbox'><label for='data-c87dceb2-29d2-4654-a2ec-223665ab759b' 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;1979-01-06T12:00:00.000000000&#x27;, &#x27;1980-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-06T12:00:00.000000000&#x27;, &#x27;1982-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-06T12:00:00.000000000&#x27;, &#x27;1984-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-06T12:00:00.000000000&#x27;, &#x27;1986-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-06T12:00:00.000000000&#x27;, &#x27;1988-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-06T12:00:00.000000000&#x27;, &#x27;1990-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-06T12:00:00.000000000&#x27;, &#x27;1992-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-06T12:00:00.000000000&#x27;, &#x27;1994-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-06T12:00:00.000000000&#x27;, &#x27;1996-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-06T12:00:00.000000000&#x27;, &#x27;1998-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-06T12:00:00.000000000&#x27;, &#x27;2000-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-06T12:00:00.000000000&#x27;, &#x27;2002-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-06T12:00:00.000000000&#x27;, &#x27;2004-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-06T12:00:00.000000000&#x27;, &#x27;2006-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-06T12:00:00.000000000&#x27;, &#x27;2008-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-06T12:00:00.000000000&#x27;, &#x27;2010-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-06T12:00:00.000000000&#x27;, &#x27;2012-01-06T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-06T12:00:00.000000000&#x27;, &#x27;2014-01-06T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-cdb4e7b8-d6ae-4bab-b539-d155068fa908' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdb4e7b8-d6ae-4bab-b539-d155068fa908' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fd3a0f5-fcda-4939-897c-2d80d2e9c90d' class='xr-var-data-in' type='checkbox'><label for='data-3fd3a0f5-fcda-4939-897c-2d80d2e9c90d' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-4acb013a-5688-4770-928f-6039a982c805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4acb013a-5688-4770-928f-6039a982c805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a13625-ac83-46eb-9ce9-6b9e7c24419e' class='xr-var-data-in' type='checkbox'><label for='data-85a13625-ac83-46eb-9ce9-6b9e7c24419e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-ce250774-4414-4ba3-ad6b-76016f69dbfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce250774-4414-4ba3-ad6b-76016f69dbfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f3f831e-ba87-4a02-b13a-ee1d75f3de5f' class='xr-var-data-in' type='checkbox'><label for='data-5f3f831e-ba87-4a02-b13a-ee1d75f3de5f' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ccedf781-04e4-4cda-989c-b81ccd3f36c8' class='xr-section-summary-in' type='checkbox' checked><label for='section-ccedf781-04e4-4cda-989c-b81ccd3f36c8' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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"dask.array<getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray>\n",
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" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
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" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e6339125-be7d-4384-9d85-28f626386ba1' class='xr-array-in' type='checkbox' checked><label for='section-e6339125-be7d-4384-9d85-28f626386ba1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-6865abd0-f3b5-402e-b68a-c282b2b4b158' class='xr-section-summary-in' type='checkbox' checked><label for='section-6865abd0-f3b5-402e-b68a-c282b2b4b158' 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'>1979-01-07T12:00:00 ... 2014-01-...</div><input id='attrs-19749559-6e0d-4468-8983-5441a241f197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19749559-6e0d-4468-8983-5441a241f197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c97f7ed-3a01-4047-b731-9bc42842ef52' class='xr-var-data-in' type='checkbox'><label for='data-4c97f7ed-3a01-4047-b731-9bc42842ef52' 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;1979-01-07T12:00:00.000000000&#x27;, &#x27;1980-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-07T12:00:00.000000000&#x27;, &#x27;1982-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-07T12:00:00.000000000&#x27;, &#x27;1984-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-07T12:00:00.000000000&#x27;, &#x27;1986-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-07T12:00:00.000000000&#x27;, &#x27;1988-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-07T12:00:00.000000000&#x27;, &#x27;1990-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-07T12:00:00.000000000&#x27;, &#x27;1992-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-07T12:00:00.000000000&#x27;, &#x27;1994-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-07T12:00:00.000000000&#x27;, &#x27;1996-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-07T12:00:00.000000000&#x27;, &#x27;1998-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-07T12:00:00.000000000&#x27;, &#x27;2000-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-07T12:00:00.000000000&#x27;, &#x27;2002-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-07T12:00:00.000000000&#x27;, &#x27;2004-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-07T12:00:00.000000000&#x27;, &#x27;2006-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-07T12:00:00.000000000&#x27;, &#x27;2008-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-07T12:00:00.000000000&#x27;, &#x27;2010-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-07T12:00:00.000000000&#x27;, &#x27;2012-01-07T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-07T12:00:00.000000000&#x27;, &#x27;2014-01-07T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-9922b94a-91d0-4c92-8d42-0c6b399e8c0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9922b94a-91d0-4c92-8d42-0c6b399e8c0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13ca47a7-7fe3-44c9-a387-6bc7eab330aa' class='xr-var-data-in' type='checkbox'><label for='data-13ca47a7-7fe3-44c9-a387-6bc7eab330aa' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-28f22b72-96d0-42ba-a45b-57f81c85786d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28f22b72-96d0-42ba-a45b-57f81c85786d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30207bd7-d769-4fdc-9d8e-9222786d06e7' class='xr-var-data-in' type='checkbox'><label for='data-30207bd7-d769-4fdc-9d8e-9222786d06e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-0545b899-a12e-4e40-beeb-1d1abb814221' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0545b899-a12e-4e40-beeb-1d1abb814221' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86205a78-9d25-43fd-b157-2810b939c059' class='xr-var-data-in' type='checkbox'><label for='data-86205a78-9d25-43fd-b157-2810b939c059' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bbfc570d-0f13-49c4-a59e-d4f94ebf2fa6' class='xr-section-summary-in' type='checkbox' checked><label for='section-bbfc570d-0f13-49c4-a59e-d4f94ebf2fa6' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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"<xarray.DataArray 'tas' (time: 36, lat: 145, lon: 192, window: 31)>\n",
"dask.array<getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-01-07T12:00:00 ... 2014-01-07T12:00:00\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
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"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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".xr-var-item > .xr-var-name span {\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-01-08T12:00:00 ... 2014-01-08T12:00:00\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
" * lon (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-979eefca-6e88-4b87-bcb4-d6219529dac3' class='xr-array-in' type='checkbox' checked><label for='section-979eefca-6e88-4b87-bcb4-d6219529dac3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
" <tr>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-a7abfc57-3b57-4939-8981-1a81a8392f80' class='xr-section-summary-in' type='checkbox' checked><label for='section-a7abfc57-3b57-4939-8981-1a81a8392f80' 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'>1979-01-08T12:00:00 ... 2014-01-...</div><input id='attrs-8e0fe3b3-9272-473a-b774-45c71deec131' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e0fe3b3-9272-473a-b774-45c71deec131' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06d107b1-fd2d-4105-8bb7-26a84487816c' class='xr-var-data-in' type='checkbox'><label for='data-06d107b1-fd2d-4105-8bb7-26a84487816c' 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;1979-01-08T12:00:00.000000000&#x27;, &#x27;1980-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-08T12:00:00.000000000&#x27;, &#x27;1982-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-08T12:00:00.000000000&#x27;, &#x27;1984-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-08T12:00:00.000000000&#x27;, &#x27;1986-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-08T12:00:00.000000000&#x27;, &#x27;1988-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-08T12:00:00.000000000&#x27;, &#x27;1990-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-08T12:00:00.000000000&#x27;, &#x27;1992-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-08T12:00:00.000000000&#x27;, &#x27;1994-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-08T12:00:00.000000000&#x27;, &#x27;1996-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-08T12:00:00.000000000&#x27;, &#x27;1998-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-08T12:00:00.000000000&#x27;, &#x27;2000-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-08T12:00:00.000000000&#x27;, &#x27;2002-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-08T12:00:00.000000000&#x27;, &#x27;2004-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-08T12:00:00.000000000&#x27;, &#x27;2006-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-08T12:00:00.000000000&#x27;, &#x27;2008-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-08T12:00:00.000000000&#x27;, &#x27;2010-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-08T12:00:00.000000000&#x27;, &#x27;2012-01-08T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-08T12:00:00.000000000&#x27;, &#x27;2014-01-08T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-4df02960-adb3-4b49-939e-c3018f6e4d4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4df02960-adb3-4b49-939e-c3018f6e4d4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b8f7c6a-8d6a-453e-a127-589da5a19048' class='xr-var-data-in' type='checkbox'><label for='data-8b8f7c6a-8d6a-453e-a127-589da5a19048' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-9488f476-b8f0-457d-a682-3e3b0dd804e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9488f476-b8f0-457d-a682-3e3b0dd804e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb118970-300d-4d57-b893-c98410fc9383' class='xr-var-data-in' type='checkbox'><label for='data-fb118970-300d-4d57-b893-c98410fc9383' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-844c586e-4041-47d4-a78b-0b27e95168f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-844c586e-4041-47d4-a78b-0b27e95168f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ba9aecd-cdd5-4b94-b638-f168955a4fb6' class='xr-var-data-in' type='checkbox'><label for='data-6ba9aecd-cdd5-4b94-b638-f168955a4fb6' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e420506-dd05-4fb7-8904-7ff2b1a1f8c9' class='xr-section-summary-in' type='checkbox' checked><label for='section-3e420506-dd05-4fb7-8904-7ff2b1a1f8c9' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
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" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
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" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9586fcc5-4436-484d-9e1a-e0e17d2bc427' class='xr-array-in' type='checkbox' checked><label for='section-9586fcc5-4436-484d-9e1a-e0e17d2bc427' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-6f449d6b-519e-42c0-b9ec-a9f3216e453e' class='xr-section-summary-in' type='checkbox' checked><label for='section-6f449d6b-519e-42c0-b9ec-a9f3216e453e' 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'>1979-01-09T12:00:00 ... 2014-01-...</div><input id='attrs-746db580-efac-44a7-a2f5-b62349889645' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-746db580-efac-44a7-a2f5-b62349889645' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1afe1d15-ed43-4cb1-bd64-1cd4bcef9041' class='xr-var-data-in' type='checkbox'><label for='data-1afe1d15-ed43-4cb1-bd64-1cd4bcef9041' 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;1979-01-09T12:00:00.000000000&#x27;, &#x27;1980-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-09T12:00:00.000000000&#x27;, &#x27;1982-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-09T12:00:00.000000000&#x27;, &#x27;1984-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-09T12:00:00.000000000&#x27;, &#x27;1986-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-09T12:00:00.000000000&#x27;, &#x27;1988-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-09T12:00:00.000000000&#x27;, &#x27;1990-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-09T12:00:00.000000000&#x27;, &#x27;1992-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-09T12:00:00.000000000&#x27;, &#x27;1994-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-09T12:00:00.000000000&#x27;, &#x27;1996-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-09T12:00:00.000000000&#x27;, &#x27;1998-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-09T12:00:00.000000000&#x27;, &#x27;2000-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-09T12:00:00.000000000&#x27;, &#x27;2002-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-09T12:00:00.000000000&#x27;, &#x27;2004-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-09T12:00:00.000000000&#x27;, &#x27;2006-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-09T12:00:00.000000000&#x27;, &#x27;2008-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-09T12:00:00.000000000&#x27;, &#x27;2010-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-09T12:00:00.000000000&#x27;, &#x27;2012-01-09T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-09T12:00:00.000000000&#x27;, &#x27;2014-01-09T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-b759fb87-b788-4f18-8054-a809a8f9ed63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b759fb87-b788-4f18-8054-a809a8f9ed63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6924848b-e41c-4b13-96de-9d42976ac71a' class='xr-var-data-in' type='checkbox'><label for='data-6924848b-e41c-4b13-96de-9d42976ac71a' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-1519a1ad-f5b9-4358-a961-9bcbacad5ad0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1519a1ad-f5b9-4358-a961-9bcbacad5ad0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad5cd8b1-e8dd-43c8-be29-8a3928a80ef8' class='xr-var-data-in' type='checkbox'><label for='data-ad5cd8b1-e8dd-43c8-be29-8a3928a80ef8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-d1f5da54-c6dc-45c4-a9f7-0ce33e586bc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1f5da54-c6dc-45c4-a9f7-0ce33e586bc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67c73fa3-9e0f-4806-8c06-93d4daa6b536' class='xr-var-data-in' type='checkbox'><label for='data-67c73fa3-9e0f-4806-8c06-93d4daa6b536' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63341d6c-2806-42f4-a1ee-4efdf06a8e8e' class='xr-section-summary-in' type='checkbox' checked><label for='section-63341d6c-2806-42f4-a1ee-4efdf06a8e8e' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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" comment: near-surface (usually, 2 meter) air temperature\n",
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" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
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" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fc6b1600-3315-4b9e-b083-86b60856c4e3' class='xr-array-in' type='checkbox' checked><label for='section-fc6b1600-3315-4b9e-b083-86b60856c4e3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-4652b7ec-28b4-4188-b786-c5b0c2e9bc62' class='xr-section-summary-in' type='checkbox' checked><label for='section-4652b7ec-28b4-4188-b786-c5b0c2e9bc62' 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'>1979-01-10T12:00:00 ... 2014-01-...</div><input id='attrs-0c50b423-1ef6-4b55-a57a-547d96f09dac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c50b423-1ef6-4b55-a57a-547d96f09dac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bc1318d-f0f4-4fa0-86ce-7f62be3c04eb' class='xr-var-data-in' type='checkbox'><label for='data-3bc1318d-f0f4-4fa0-86ce-7f62be3c04eb' 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;1979-01-10T12:00:00.000000000&#x27;, &#x27;1980-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-10T12:00:00.000000000&#x27;, &#x27;1982-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-10T12:00:00.000000000&#x27;, &#x27;1984-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-10T12:00:00.000000000&#x27;, &#x27;1986-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-10T12:00:00.000000000&#x27;, &#x27;1988-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-10T12:00:00.000000000&#x27;, &#x27;1990-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-10T12:00:00.000000000&#x27;, &#x27;1992-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-10T12:00:00.000000000&#x27;, &#x27;1994-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-10T12:00:00.000000000&#x27;, &#x27;1996-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-10T12:00:00.000000000&#x27;, &#x27;1998-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-10T12:00:00.000000000&#x27;, &#x27;2000-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-10T12:00:00.000000000&#x27;, &#x27;2002-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-10T12:00:00.000000000&#x27;, &#x27;2004-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-10T12:00:00.000000000&#x27;, &#x27;2006-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-10T12:00:00.000000000&#x27;, &#x27;2008-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-10T12:00:00.000000000&#x27;, &#x27;2010-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-10T12:00:00.000000000&#x27;, &#x27;2012-01-10T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-10T12:00:00.000000000&#x27;, &#x27;2014-01-10T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-6d92fb16-06be-4cde-9e1b-48194d74a132' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d92fb16-06be-4cde-9e1b-48194d74a132' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc55ce14-8732-4fbe-bbed-e5d5f6fb7f5e' class='xr-var-data-in' type='checkbox'><label for='data-bc55ce14-8732-4fbe-bbed-e5d5f6fb7f5e' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-f4f4fbf0-1b11-4f34-a1d8-1f3fe9c054ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4f4fbf0-1b11-4f34-a1d8-1f3fe9c054ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82e86672-1b30-4417-8c54-8ea508d00456' class='xr-var-data-in' type='checkbox'><label for='data-82e86672-1b30-4417-8c54-8ea508d00456' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-23c6d25a-3786-4002-9193-97f8efe4751e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23c6d25a-3786-4002-9193-97f8efe4751e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e679495a-cf9b-480e-9e2a-406f225b3100' class='xr-var-data-in' type='checkbox'><label for='data-e679495a-cf9b-480e-9e2a-406f225b3100' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-57f42eab-be7a-4d51-a974-4c1834c118ce' class='xr-section-summary-in' type='checkbox' checked><label for='section-57f42eab-be7a-4d51-a974-4c1834c118ce' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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"<xarray.DataArray 'tas' (time: 36, lat: 145, lon: 192, window: 31)>\n",
"dask.array<getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-01-10T12:00:00 ... 2014-01-10T12:00:00\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
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"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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".xr-var-item > .xr-var-name span {\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 1979-01-11T12:00:00 ... 2014-01-11T12:00:00\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
" * lon (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c7230824-72c5-4240-81d6-394b68c8e613' class='xr-array-in' type='checkbox' checked><label for='section-c7230824-72c5-4240-81d6-394b68c8e613' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
" <tr>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-6c89eac7-c468-40a4-8b6d-ec3ad9eb3d07' class='xr-section-summary-in' type='checkbox' checked><label for='section-6c89eac7-c468-40a4-8b6d-ec3ad9eb3d07' 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'>1979-01-11T12:00:00 ... 2014-01-...</div><input id='attrs-418e7292-a6b0-4231-aef2-aefc5f89e421' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-418e7292-a6b0-4231-aef2-aefc5f89e421' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-591ffbc8-4210-43eb-850a-7aad6883f79e' class='xr-var-data-in' type='checkbox'><label for='data-591ffbc8-4210-43eb-850a-7aad6883f79e' 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;1979-01-11T12:00:00.000000000&#x27;, &#x27;1980-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-11T12:00:00.000000000&#x27;, &#x27;1982-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-11T12:00:00.000000000&#x27;, &#x27;1984-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-11T12:00:00.000000000&#x27;, &#x27;1986-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-11T12:00:00.000000000&#x27;, &#x27;1988-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-11T12:00:00.000000000&#x27;, &#x27;1990-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-11T12:00:00.000000000&#x27;, &#x27;1992-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-11T12:00:00.000000000&#x27;, &#x27;1994-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-11T12:00:00.000000000&#x27;, &#x27;1996-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-11T12:00:00.000000000&#x27;, &#x27;1998-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-11T12:00:00.000000000&#x27;, &#x27;2000-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-11T12:00:00.000000000&#x27;, &#x27;2002-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-11T12:00:00.000000000&#x27;, &#x27;2004-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-11T12:00:00.000000000&#x27;, &#x27;2006-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-11T12:00:00.000000000&#x27;, &#x27;2008-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-11T12:00:00.000000000&#x27;, &#x27;2010-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-11T12:00:00.000000000&#x27;, &#x27;2012-01-11T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-11T12:00:00.000000000&#x27;, &#x27;2014-01-11T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-4dffc66d-4344-4ffb-8dd7-b4f0bd87cf5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dffc66d-4344-4ffb-8dd7-b4f0bd87cf5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-761fad27-91a3-41a8-87bc-078706c2da77' class='xr-var-data-in' type='checkbox'><label for='data-761fad27-91a3-41a8-87bc-078706c2da77' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-3d15128a-929c-437c-9a0c-59beb27dc0eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d15128a-929c-437c-9a0c-59beb27dc0eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c60a5a32-3d0d-4319-afa9-e08c3ed42f28' class='xr-var-data-in' type='checkbox'><label for='data-c60a5a32-3d0d-4319-afa9-e08c3ed42f28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
" 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125,\n",
" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-27e4c222-4127-4f29-bc11-dea772c5fb45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27e4c222-4127-4f29-bc11-dea772c5fb45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-128c58ab-3652-4834-88f0-8345f80737e0' class='xr-var-data-in' type='checkbox'><label for='data-128c58ab-3652-4834-88f0-8345f80737e0' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95cd8c8f-4fa8-4248-a5fd-eea8cf55ba18' class='xr-section-summary-in' type='checkbox' checked><label for='section-95cd8c8f-4fa8-4248-a5fd-eea8cf55ba18' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
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" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 36, lat: 145, lon: 192, window: 31)&gt;\n",
"dask.array&lt;getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray&gt;\n",
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" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>window</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-04c0cf71-d6e9-42fe-965b-0ff8690861ec' class='xr-array-in' type='checkbox' checked><label for='section-04c0cf71-d6e9-42fe-965b-0ff8690861ec' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 145, 192, 31), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-b991dfd6-bdf8-4ca9-8e9c-de1c3214cbe2' class='xr-section-summary-in' type='checkbox' checked><label for='section-b991dfd6-bdf8-4ca9-8e9c-de1c3214cbe2' 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'>1979-01-12T12:00:00 ... 2014-01-...</div><input id='attrs-2f1fd8bd-9f51-4ba1-b154-bcb065c43981' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f1fd8bd-9f51-4ba1-b154-bcb065c43981' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d19a4cf8-b4db-40c4-8c82-dda0a93b9bfd' class='xr-var-data-in' type='checkbox'><label for='data-d19a4cf8-b4db-40c4-8c82-dda0a93b9bfd' 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;1979-01-12T12:00:00.000000000&#x27;, &#x27;1980-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1981-01-12T12:00:00.000000000&#x27;, &#x27;1982-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1983-01-12T12:00:00.000000000&#x27;, &#x27;1984-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1985-01-12T12:00:00.000000000&#x27;, &#x27;1986-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1987-01-12T12:00:00.000000000&#x27;, &#x27;1988-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1989-01-12T12:00:00.000000000&#x27;, &#x27;1990-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1991-01-12T12:00:00.000000000&#x27;, &#x27;1992-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1993-01-12T12:00:00.000000000&#x27;, &#x27;1994-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1995-01-12T12:00:00.000000000&#x27;, &#x27;1996-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1997-01-12T12:00:00.000000000&#x27;, &#x27;1998-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;1999-01-12T12:00:00.000000000&#x27;, &#x27;2000-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-12T12:00:00.000000000&#x27;, &#x27;2002-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;2003-01-12T12:00:00.000000000&#x27;, &#x27;2004-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;2005-01-12T12:00:00.000000000&#x27;, &#x27;2006-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;2007-01-12T12:00:00.000000000&#x27;, &#x27;2008-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;2009-01-12T12:00:00.000000000&#x27;, &#x27;2010-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;2011-01-12T12:00:00.000000000&#x27;, &#x27;2012-01-12T12:00:00.000000000&#x27;,\n",
" &#x27;2013-01-12T12:00:00.000000000&#x27;, &#x27;2014-01-12T12:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-a4459641-e0a4-4af7-be51-07904d9b3fd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4459641-e0a4-4af7-be51-07904d9b3fd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae34b771-45f4-4b5d-bb08-f912a17e81e4' class='xr-var-data-in' type='checkbox'><label for='data-ae34b771-45f4-4b5d-bb08-f912a17e81e4' 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([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,\n",
" -78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,\n",
" -67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,\n",
" -56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,\n",
" -45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,\n",
" -33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,\n",
" -22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,\n",
" -11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,\n",
" 0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,\n",
" 11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,\n",
" 22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,\n",
" 33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,\n",
" 45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,\n",
" 56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,\n",
" 67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,\n",
" 78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,\n",
" 90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-52dc04f6-d4df-49b8-915b-9c578f448c23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52dc04f6-d4df-49b8-915b-9c578f448c23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfacf54f-dcc8-4af7-8d5d-6002bcd992e8' class='xr-var-data-in' type='checkbox'><label for='data-dfacf54f-dcc8-4af7-8d5d-6002bcd992e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125,\n",
" 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125,\n",
" 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125,\n",
" 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125,\n",
" 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125,\n",
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" 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125,\n",
" 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125,\n",
" 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125,\n",
" 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125,\n",
" 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125,\n",
" 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125,\n",
" 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125,\n",
" 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125,\n",
" 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125,\n",
" 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125,\n",
" 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125,\n",
" 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125,\n",
" 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125,\n",
" 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125,\n",
" 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125,\n",
" 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125,\n",
" 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125,\n",
" 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])</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'>2.0</div><input id='attrs-762e79e2-c468-4d6c-8642-1ccd3c60999b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-762e79e2-c468-4d6c-8642-1ccd3c60999b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a84be321-9e89-471e-b685-3f475ec48717' class='xr-var-data-in' type='checkbox'><label for='data-a84be321-9e89-471e-b685-3f475ec48717' 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>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99c6df4b-5ccd-487c-8bdd-0ba808a8d454' class='xr-section-summary-in' type='checkbox' checked><label for='section-99c6df4b-5ccd-487c-8bdd-0ba808a8d454' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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 (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-11-14T05:08:45Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-11-14T05:08:45Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'tas' (time: 36, lat: 145, lon: 192, window: 31)>\n",
"dask.array<getitem, shape=(36, 145, 192, 31), dtype=float32, chunksize=(1, 145, 192, 31), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
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" height float64 2.0\n",
"Dimensions without coordinates: window\n",
"Attributes:\n",
" standard_name: air_temperature\n",
" long_name: Near-Surface Air Temperature\n",
" comment: near-surface (usually, 2 meter) air temperature\n",
" units: K\n",
" cell_methods: area: time: mean\n",
" cell_measures: area: areacella\n",
" history: 2019-11-14T05:08:45Z altered by CMOR: Treated scalar dime..."
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/xarray/core/dataarray.py\u001b[0m in \u001b[0;36mquantile\u001b[0;34m(self, q, dim, interpolation, keep_attrs, skipna)\u001b[0m\n\u001b[1;32m 3470\u001b[0m \"\"\"\n\u001b[1;32m 3471\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3472\u001b[0;31m ds = self._to_temp_dataset().quantile(\n\u001b[0m\u001b[1;32m 3473\u001b[0m \u001b[0mq\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3474\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/xarray/core/dataset.py\u001b[0m in \u001b[0;36mquantile\u001b[0;34m(self, q, dim, interpolation, numeric_only, keep_attrs, skipna)\u001b[0m\n\u001b[1;32m 6167\u001b[0m \u001b[0;31m# the former is often more efficient\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6168\u001b[0m \u001b[0mreduce_dims\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6169\u001b[0;31m variables[name] = var.quantile(\n\u001b[0m\u001b[1;32m 6170\u001b[0m \u001b[0mq\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6171\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mreduce_dims\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36mquantile\u001b[0;34m(self, q, dim, interpolation, keep_attrs, skipna)\u001b[0m\n\u001b[1;32m 1992\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1993\u001b[0m \u001b[0maxis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1994\u001b[0;31m result = apply_ufunc(\n\u001b[0m\u001b[1;32m 1995\u001b[0m \u001b[0m_wrapper\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1996\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/xarray/core/computation.py\u001b[0m in \u001b[0;36mapply_ufunc\u001b[0;34m(func, input_core_dims, output_core_dims, exclude_dims, vectorize, join, dataset_join, dataset_fill_value, keep_attrs, kwargs, dask, output_dtypes, output_sizes, meta, dask_gufunc_kwargs, *args)\u001b[0m\n\u001b[1;32m 1182\u001b[0m \u001b[0;31m# feed Variables directly through apply_variable_ufunc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1183\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mVariable\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1184\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mvariables_vfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1185\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1186\u001b[0m \u001b[0;31m# feed anything else through apply_array_ufunc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/xarray/core/computation.py\u001b[0m in \u001b[0;36mapply_variable_ufunc\u001b[0;34m(func, signature, exclude_dims, dask, output_dtypes, vectorize, keep_attrs, dask_gufunc_kwargs, *args)\u001b[0m\n\u001b[1;32m 740\u001b[0m )\n\u001b[1;32m 741\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 742\u001b[0;31m \u001b[0mresult_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 743\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 744\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msignature\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnum_outputs\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36m_wrapper\u001b[0;34m(npa, **kwargs)\u001b[0m\n\u001b[1;32m 1989\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_wrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnpa\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1990\u001b[0m \u001b[0;31m# move quantile axis to end. required for apply_ufunc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1991\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmoveaxis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_quantile_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnpa\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1992\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1993\u001b[0m \u001b[0maxis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mnanquantile\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/nanfunctions.py\u001b[0m in \u001b[0;36mnanquantile\u001b[0;34m(a, q, axis, out, overwrite_input, interpolation, keepdims)\u001b[0m\n\u001b[1;32m 1360\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mfunction_base\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_quantile_is_valid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1361\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Quantiles must be in the range [0, 1]\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1362\u001b[0;31m return _nanquantile_unchecked(\n\u001b[0m\u001b[1;32m 1363\u001b[0m a, q, axis, out, overwrite_input, interpolation, keepdims)\n\u001b[1;32m 1364\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/nanfunctions.py\u001b[0m in \u001b[0;36m_nanquantile_unchecked\u001b[0;34m(a, q, axis, out, overwrite_input, interpolation, keepdims)\u001b[0m\n\u001b[1;32m 1372\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnanmean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeepdims\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkeepdims\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1373\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1374\u001b[0;31m r, k = function_base._ureduce(\n\u001b[0m\u001b[1;32m 1375\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_nanquantile_ureduce_func\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mq\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1376\u001b[0m \u001b[0moverwrite_input\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moverwrite_input\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minterpolation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minterpolation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_ureduce\u001b[0;34m(a, func, **kwargs)\u001b[0m\n\u001b[1;32m 3562\u001b[0m \u001b[0mkeepdim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3563\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3564\u001b[0;31m \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3565\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeepdim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3566\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/nanfunctions.py\u001b[0m in \u001b[0;36m_nanquantile_ureduce_func\u001b[0;34m(a, q, axis, out, overwrite_input, interpolation)\u001b[0m\n\u001b[1;32m 1393\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_nanquantile_1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpart\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moverwrite_input\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minterpolation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1394\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1395\u001b[0;31m result = np.apply_along_axis(_nanquantile_1d, axis, a, q,\n\u001b[0m\u001b[1;32m 1396\u001b[0m overwrite_input, interpolation)\n\u001b[1;32m 1397\u001b[0m \u001b[0;31m# apply_along_axis fills in collapsed axis with results.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mapply_along_axis\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/shape_base.py\u001b[0m in \u001b[0;36mapply_along_axis\u001b[0;34m(func1d, axis, arr, *args, **kwargs)\u001b[0m\n\u001b[1;32m 400\u001b[0m \u001b[0mbuff\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mind0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mind\u001b[0m \u001b[0;32min\u001b[0m \u001b[0minds\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m \u001b[0mbuff\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mind\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0masanyarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minarr_view\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mind\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 403\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 404\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmatrix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/nanfunctions.py\u001b[0m in \u001b[0;36m_nanquantile_1d\u001b[0;34m(arr1d, q, overwrite_input, interpolation)\u001b[0m\n\u001b[1;32m 1416\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfull\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnan\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;31m# convert to scalar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1417\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1418\u001b[0;31m return function_base._quantile_unchecked(\n\u001b[0m\u001b[1;32m 1419\u001b[0m arr1d, q, overwrite_input=overwrite_input, interpolation=interpolation)\n\u001b[1;32m 1420\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_quantile_unchecked\u001b[0;34m(a, q, axis, out, overwrite_input, interpolation, keepdims)\u001b[0m\n\u001b[1;32m 3984\u001b[0m interpolation='linear', keepdims=False):\n\u001b[1;32m 3985\u001b[0m \u001b[0;34m\"\"\"Assumes that q is in [0, 1], and is an ndarray\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3986\u001b[0;31m r, k = _ureduce(a, func=_quantile_ureduce_func, q=q, axis=axis, out=out,\n\u001b[0m\u001b[1;32m 3987\u001b[0m \u001b[0moverwrite_input\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moverwrite_input\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3988\u001b[0m interpolation=interpolation)\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_ureduce\u001b[0;34m(a, func, **kwargs)\u001b[0m\n\u001b[1;32m 3562\u001b[0m \u001b[0mkeepdim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3563\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3564\u001b[0;31m \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3565\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeepdim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3566\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_quantile_ureduce_func\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m 4093\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0missubdtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minexact\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4094\u001b[0m \u001b[0;31m# may contain nan, which would sort to the end\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4095\u001b[0;31m ap.partition(concatenate((\n\u001b[0m\u001b[1;32m 4096\u001b[0m \u001b[0mindices_below\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindices_above\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4097\u001b[0m )), axis=0)\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"from tqdm.auto import tqdm\n",
"\n",
"doy_pct = []\n",
"\n",
"for doy, sample in tqdm(data.tas.rolling(time=31, center=True).construct(time='window').groupby('time.dayofyear')):\n",
" display(sample)\n",
" doy_pct.append(sample.load().quantile(0.9, dim=['time', 'window']))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "de5d0f06-6b97-46b8-9ef9-9cea6e3cab22",
"metadata": {},
"outputs": [],
"source": [
"data"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "7d0cfd18-fe28-477e-ad26-aa6b6d544fbf",
"metadata": {},
"outputs": [
{
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" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
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"\n",
".xr-text-repr-fallback {\n",
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" display: none;\n",
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"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
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"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
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"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (dayofyear: 13)&gt;\n",
"array([250.67286682, 250.6728241 , 250.79823914, 250.79477081,\n",
" 250.70733643, 250.70159149, 250.67580261, 250.67506866,\n",
" 250.60148315, 250.44320984, 250.38116455, 250.33163605,\n",
" 250.24959717])\n",
"Coordinates:\n",
" quantile float64 0.9\n",
"Dimensions without coordinates: dayofyear</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span>dayofyear</span>: 13</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fe1b3481-2300-4eae-84e6-b71a99e9d89c' class='xr-array-in' type='checkbox' checked><label for='section-fe1b3481-2300-4eae-84e6-b71a99e9d89c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>250.7 250.7 250.8 250.8 250.7 250.7 ... 250.6 250.4 250.4 250.3 250.2</span></div><div class='xr-array-data'><pre>array([250.67286682, 250.6728241 , 250.79823914, 250.79477081,\n",
" 250.70733643, 250.70159149, 250.67580261, 250.67506866,\n",
" 250.60148315, 250.44320984, 250.38116455, 250.33163605,\n",
" 250.24959717])</pre></div></div></li><li class='xr-section-item'><input id='section-433e7d4e-74fe-4e2e-a243-abe31d7fec04' class='xr-section-summary-in' type='checkbox' checked><label for='section-433e7d4e-74fe-4e2e-a243-abe31d7fec04' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>quantile</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9</div><input id='attrs-a3cfd156-ca03-494a-bd09-c8271108729e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3cfd156-ca03-494a-bd09-c8271108729e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-499560a7-4ff9-4c78-a56b-3446c9dcc3a4' class='xr-var-data-in' type='checkbox'><label for='data-499560a7-4ff9-4c78-a56b-3446c9dcc3a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.9)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff6cb419-b538-47bf-b69a-d0111143097a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ff6cb419-b538-47bf-b69a-d0111143097a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'tas' (dayofyear: 13)>\n",
"array([250.67286682, 250.6728241 , 250.79823914, 250.79477081,\n",
" 250.70733643, 250.70159149, 250.67580261, 250.67506866,\n",
" 250.60148315, 250.44320984, 250.38116455, 250.33163605,\n",
" 250.24959717])\n",
"Coordinates:\n",
" quantile float64 0.9\n",
"Dimensions without coordinates: dayofyear"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"xarray.concat(doy_pct, dim='dayofyear')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "23c2981c-5081-4a0b-9d39-177ae274d361",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"distributed.nanny - WARNING - Restarting worker\n",
"distributed.nanny - WARNING - Worker process still alive after 3 seconds, killing\n",
"distributed.nanny - WARNING - Restarting worker\n",
"distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:33573\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 867, in _read_to_buffer\n",
" bytes_read = self.read_from_fd(buf)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 1140, in read_from_fd\n",
" return self.socket.recv_into(buf, len(buf))\n",
"ConnectionResetError: [Errno 104] Connection reset by peer\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 2373, in gather_dep\n",
" response = await get_data_from_worker(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3744, in get_data_from_worker\n",
" return await retry_operation(_get_data, operation=\"get_data_from_worker\")\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 385, in retry_operation\n",
" return await retry(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 370, in retry\n",
" return await coro()\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3724, in _get_data\n",
" response = await send_recv(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/core.py\", line 651, in send_recv\n",
" response = await comm.read(deserializers=deserializers)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 214, in read\n",
" convert_stream_closed_error(self, e)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 126, in convert_stream_closed_error\n",
" raise CommClosedError(f\"in {obj}: {exc.__class__.__name__}: {exc}\") from exc\n",
"distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:38820 remote=tcp://127.0.0.1:33573>: ConnectionResetError: [Errno 104] Connection reset by peer\n",
"distributed.worker - ERROR - failed during get data with tcp://127.0.0.1:45909 -> tcp://127.0.0.1:33573\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 867, in _read_to_buffer\n",
" bytes_read = self.read_from_fd(buf)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 1140, in read_from_fd\n",
" return self.socket.recv_into(buf, len(buf))\n",
"ConnectionResetError: [Errno 104] Connection reset by peer\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 1446, in get_data\n",
" response = await comm.read(deserializers=serializers)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 214, in read\n",
" convert_stream_closed_error(self, e)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 126, in convert_stream_closed_error\n",
" raise CommClosedError(f\"in {obj}: {exc.__class__.__name__}: {exc}\") from exc\n",
"distributed.comm.core.CommClosedError: in <TCP (closed) local=tcp://127.0.0.1:45909 remote=tcp://127.0.0.1:59138>: ConnectionResetError: [Errno 104] Connection reset by peer\n",
"distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:46685\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 198, in read\n",
" frames_nbytes = await stream.read_bytes(fmt_size)\n",
"asyncio.exceptions.CancelledError\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/asyncio/tasks.py\", line 492, in wait_for\n",
" fut.result()\n",
"asyncio.exceptions.CancelledError\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/core.py\", line 318, in connect\n",
" handshake = await asyncio.wait_for(comm.read(), time_left())\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/asyncio/tasks.py\", line 494, in wait_for\n",
" raise exceptions.TimeoutError() from exc\n",
"asyncio.exceptions.TimeoutError\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 2373, in gather_dep\n",
" response = await get_data_from_worker(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3744, in get_data_from_worker\n",
" return await retry_operation(_get_data, operation=\"get_data_from_worker\")\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 385, in retry_operation\n",
" return await retry(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 370, in retry\n",
" return await coro()\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3721, in _get_data\n",
" comm = await rpc.connect(worker)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/core.py\", line 1059, in connect\n",
" raise exc\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/core.py\", line 1043, in connect\n",
" comm = await fut\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/core.py\", line 323, in connect\n",
" raise OSError(\n",
"OSError: Timed out during handshake while connecting to tcp://127.0.0.1:46685 after 30 s\n",
"distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:45909\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 867, in _read_to_buffer\n",
" bytes_read = self.read_from_fd(buf)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 1140, in read_from_fd\n",
" return self.socket.recv_into(buf, len(buf))\n",
"ConnectionResetError: [Errno 104] Connection reset by peer\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/core.py\", line 318, in connect\n",
" handshake = await asyncio.wait_for(comm.read(), time_left())\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/asyncio/tasks.py\", line 481, in wait_for\n",
" return fut.result()\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 214, in read\n",
" convert_stream_closed_error(self, e)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 126, in convert_stream_closed_error\n",
" raise CommClosedError(f\"in {obj}: {exc.__class__.__name__}: {exc}\") from exc\n",
"distributed.comm.core.CommClosedError: in <TCP (closed) local=tcp://127.0.0.1:60226 remote=tcp://127.0.0.1:45909>: ConnectionResetError: [Errno 104] Connection reset by peer\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 2373, in gather_dep\n",
" response = await get_data_from_worker(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3744, in get_data_from_worker\n",
" return await retry_operation(_get_data, operation=\"get_data_from_worker\")\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 385, in retry_operation\n",
" return await retry(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 370, in retry\n",
" return await coro()\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3721, in _get_data\n",
" comm = await rpc.connect(worker)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/core.py\", line 1059, in connect\n",
" raise exc\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/core.py\", line 1043, in connect\n",
" comm = await fut\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/core.py\", line 323, in connect\n",
" raise OSError(\n",
"OSError: Timed out during handshake while connecting to tcp://127.0.0.1:45909 after 30 s\n",
"distributed.nanny - WARNING - Restarting worker\n",
"distributed.worker - ERROR - failed during get data with tcp://127.0.0.1:46685 -> tcp://127.0.0.1:45909\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 971, in _handle_write\n",
" num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 1148, in write_to_fd\n",
" return self.socket.send(data) # type: ignore\n",
"BrokenPipeError: [Errno 32] Broken pipe\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 1446, in get_data\n",
" response = await comm.read(deserializers=serializers)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 214, in read\n",
" convert_stream_closed_error(self, e)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 126, in convert_stream_closed_error\n",
" raise CommClosedError(f\"in {obj}: {exc.__class__.__name__}: {exc}\") from exc\n",
"distributed.comm.core.CommClosedError: in <TCP (closed) local=tcp://127.0.0.1:46685 remote=tcp://127.0.0.1:42838>: BrokenPipeError: [Errno 32] Broken pipe\n",
"distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:45909\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 275, in write\n",
" raise StreamClosedError()\n",
"tornado.iostream.StreamClosedError: Stream is closed\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 2373, in gather_dep\n",
" response = await get_data_from_worker(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3744, in get_data_from_worker\n",
" return await retry_operation(_get_data, operation=\"get_data_from_worker\")\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 385, in retry_operation\n",
" return await retry(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 370, in retry\n",
" return await coro()\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3739, in _get_data\n",
" await comm.write(\"OK\")\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 291, in write\n",
" convert_stream_closed_error(self, e)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 128, in convert_stream_closed_error\n",
" raise CommClosedError(f\"in {obj}: {exc}\") from exc\n",
"distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:59136 remote=tcp://127.0.0.1:45909>: Stream is closed\n",
"distributed.nanny - WARNING - Worker exceeded 95% memory budget. Restarting\n",
"distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:46685\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 867, in _read_to_buffer\n",
" bytes_read = self.read_from_fd(buf)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/tornado/iostream.py\", line 1140, in read_from_fd\n",
" return self.socket.recv_into(buf, len(buf))\n",
"ConnectionResetError: [Errno 104] Connection reset by peer\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/core.py\", line 318, in connect\n",
" handshake = await asyncio.wait_for(comm.read(), time_left())\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/asyncio/tasks.py\", line 481, in wait_for\n",
" return fut.result()\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 214, in read\n",
" convert_stream_closed_error(self, e)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/tcp.py\", line 126, in convert_stream_closed_error\n",
" raise CommClosedError(f\"in {obj}: {exc.__class__.__name__}: {exc}\") from exc\n",
"distributed.comm.core.CommClosedError: in <TCP (closed) local=tcp://127.0.0.1:43928 remote=tcp://127.0.0.1:46685>: ConnectionResetError: [Errno 104] Connection reset by peer\n",
"\n",
"The above exception was the direct cause of the following exception:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 2373, in gather_dep\n",
" response = await get_data_from_worker(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3744, in get_data_from_worker\n",
" return await retry_operation(_get_data, operation=\"get_data_from_worker\")\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 385, in retry_operation\n",
" return await retry(\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/utils_comm.py\", line 370, in retry\n",
" return await coro()\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/worker.py\", line 3721, in _get_data\n",
" comm = await rpc.connect(worker)\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/core.py\", line 1059, in connect\n",
" raise exc\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/core.py\", line 1043, in connect\n",
" comm = await fut\n",
" File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.07/lib/python3.9/site-packages/distributed/comm/core.py\", line 323, in connect\n",
" raise OSError(\n",
"OSError: Timed out during handshake while connecting to tcp://127.0.0.1:46685 after 30 s\n",
"distributed.nanny - WARNING - Restarting worker\n"
]
}
],
"source": [
"data.tas.rolling(time=31, center=True).construct(time='window').groupby('time.dayofyear').mean(dim=['time', 'window']).load()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d9ad0b73-f245-4c3e-9994-6ec90c5fc8dc",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:analysis3-21.07]",
"language": "python",
"name": "conda-env-analysis3-21.07-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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