Seasonal Bias(Noresm-chirps).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 496)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3a1e68cc-992c-4e52-9790-71699c63d315' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a1e68cc-992c-4e52-9790-71699c63d315' 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'>latitude</span>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 496</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5935847c-1549-4d1f-a680-b6dc48334206' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5935847c-1549-4d1f-a680-b6dc48334206' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.97 -49.92 ... 49.92 49.97</div><input id='attrs-b7b6376f-4356-4b85-ba42-0b2152c24653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7b6376f-4356-4b85-ba42-0b2152c24653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c14ac2a6-d6dd-4afa-92e0-e4b44f91e2e0' class='xr-var-data-in' type='checkbox'><label for='data-c14ac2a6-d6dd-4afa-92e0-e4b44f91e2e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-49.975   , -49.925   , -49.875   , ...,  49.874992,  49.924995,\n",
       "        49.975   ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-ff0a6388-b308-49d2-8265-6edba09ce0ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff0a6388-b308-49d2-8265-6edba09ce0ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8511d419-9656-400f-a210-9c2c1211842e' class='xr-var-data-in' type='checkbox'><label for='data-8511d419-9656-400f-a210-9c2c1211842e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2022-04-01</div><input id='attrs-492a3a43-4ea7-4d45-816a-c17ddefc1b9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-492a3a43-4ea7-4d45-816a-c17ddefc1b9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dabf137-6893-4e5e-933f-ec3fc03c0bf8' class='xr-var-data-in' type='checkbox'><label for='data-6dabf137-6893-4e5e-933f-ec3fc03c0bf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-01T00:00:00.000000000&#x27;, ..., &#x27;2022-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-03-01T00:00:00.000000000&#x27;, &#x27;2022-04-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cbdcce22-4047-436f-abd1-b3c972611926' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cbdcce22-4047-436f-abd1-b3c972611926' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f781db0-0bac-4417-a7e0-81f3ab1e5afb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f781db0-0bac-4417-a7e0-81f3ab1e5afb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e21f453-0dc3-4a9c-9b00-d8929039e996' class='xr-var-data-in' type='checkbox'><label for='data-6e21f453-0dc3-4a9c-9b00-d8929039e996' 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>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[7142400000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18d292ab-6e34-42e7-9dce-98830a999616' class='xr-section-summary-in' type='checkbox'  ><label for='section-18d292ab-6e34-42e7-9dce-98830a999616' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
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       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 496)\n",
       "Coordinates:\n",
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       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
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       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
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     "execution_count": 2,
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   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/chirps/chirps-v2.0.monthly.nc')\n",
    " \n",
    "\n",
    "data"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 299)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
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       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
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       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c90ad5b2-b297-473e-8a49-7c5cf5da571c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c90ad5b2-b297-473e-8a49-7c5cf5da571c' 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'>latitude</span>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 299</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1cb091f7-35e1-4709-82af-250943ca0476' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1cb091f7-35e1-4709-82af-250943ca0476' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.97 -49.92 ... 49.92 49.97</div><input id='attrs-65c6afdc-74f1-4d4a-a840-01ada8b9bbf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65c6afdc-74f1-4d4a-a840-01ada8b9bbf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd5abf9f-d13f-4b26-8bd9-da4901b285ed' class='xr-var-data-in' type='checkbox'><label for='data-bd5abf9f-d13f-4b26-8bd9-da4901b285ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-49.975   , -49.925   , -49.875   , ...,  49.874992,  49.924995,\n",
       "        49.975   ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-32df3d24-873f-4c8f-b8d3-010c64b2810f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32df3d24-873f-4c8f-b8d3-010c64b2810f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd1f7d62-1fd6-4c18-abb6-5a2221b9d9ec' class='xr-var-data-in' type='checkbox'><label for='data-bd1f7d62-1fd6-4c18-abb6-5a2221b9d9ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-02-01 ... 2005-12-01</div><input id='attrs-13834221-4aa9-4461-8385-64c6ea92c08e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13834221-4aa9-4461-8385-64c6ea92c08e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd3e06e9-5f2a-4505-89b1-d660b1774832' class='xr-var-data-in' type='checkbox'><label for='data-dd3e06e9-5f2a-4505-89b1-d660b1774832' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-04-01T00:00:00.000000000&#x27;, ..., &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-435d9677-b014-4d1e-afae-771441b4cc69' class='xr-section-summary-in' type='checkbox'  checked><label for='section-435d9677-b014-4d1e-afae-771441b4cc69' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dbcc9b5c-3baf-45cf-bfe0-479a2851eba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbcc9b5c-3baf-45cf-bfe0-479a2851eba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ed8720f-e77f-4c22-b932-72c2bbfa23ee' class='xr-var-data-in' type='checkbox'><label for='data-0ed8720f-e77f-4c22-b932-72c2bbfa23ee' 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>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[4305600000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-55c337eb-3eeb-4c38-bcfd-98af28660c97' class='xr-section-summary-in' type='checkbox'  ><label for='section-55c337eb-3eeb-4c38-bcfd-98af28660c97' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 299)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2005-12-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
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       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-964f418d-a650-4c60-ad83-0d61e55cd8e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-964f418d-a650-4c60-ad83-0d61e55cd8e2' 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'>latitude</span>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0bd259af-951d-483e-86c7-88ce0d126859' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0bd259af-951d-483e-86c7-88ce0d126859' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.97 -49.92 ... 49.92 49.97</div><input id='attrs-6a4c10e2-2ac6-493a-b9e6-4ad33a0fd83c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a4c10e2-2ac6-493a-b9e6-4ad33a0fd83c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4728c66f-3791-434c-87cc-ab077cf3608a' class='xr-var-data-in' type='checkbox'><label for='data-4728c66f-3791-434c-87cc-ab077cf3608a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-49.975   , -49.925   , -49.875   , ...,  49.874992,  49.924995,\n",
       "        49.975   ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-d944a900-386f-44f6-b268-f2f00af3a9eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d944a900-386f-44f6-b268-f2f00af3a9eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e0a5443-fa59-4eab-ad1f-71a5784ef321' class='xr-var-data-in' type='checkbox'><label for='data-6e0a5443-fa59-4eab-ad1f-71a5784ef321' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-09-01</div><input id='attrs-5613ce43-201e-43c0-8781-b11773199998' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5613ce43-201e-43c0-8781-b11773199998' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab9e7bc8-c338-445e-8483-aa13f53453da' class='xr-var-data-in' type='checkbox'><label for='data-ab9e7bc8-c338-445e-8483-aa13f53453da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-739eac36-bea0-4be7-a1b7-f129844ce11c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-739eac36-bea0-4be7-a1b7-f129844ce11c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58578c62-adb8-4c97-b683-f798c2886cca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58578c62-adb8-4c97-b683-f798c2886cca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb26ec6b-afda-479f-8fc5-1c73222c5b51' class='xr-var-data-in' type='checkbox'><label for='data-fb26ec6b-afda-479f-8fc5-1c73222c5b51' 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>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[1440000000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-475b0906-3b22-4b02-b3d0-edf7b91be5a2' class='xr-section-summary-in' type='checkbox'  ><label for='section-475b0906-3b22-4b02-b3d0-edf7b91be5a2' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 200, longitude: 160, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 18.02 18.07 18.12 18.17 ... 27.88 27.92 27.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4a0df218-99cb-45c6-9900-11124b0c0062' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a0df218-99cb-45c6-9900-11124b0c0062' 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'>latitude</span>: 200</li><li><span class='xr-has-index'>longitude</span>: 160</li><li><span class='xr-has-index'>time</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c16ad803-9097-4041-bd1f-83e2c485799e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c16ad803-9097-4041-bd1f-83e2c485799e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.02 18.07 18.12 ... 27.92 27.97</div><input id='attrs-73d8276b-e364-439a-939f-dbd5a8006178' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73d8276b-e364-439a-939f-dbd5a8006178' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b387f015-80dc-41e2-9f9c-be27160f9fcd' class='xr-var-data-in' type='checkbox'><label for='data-b387f015-80dc-41e2-9f9c-be27160f9fcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.024994, 18.074997, 18.125   , 18.174995, 18.224998, 18.274994,\n",
       "       18.324997, 18.375   , 18.424995, 18.474998, 18.524994, 18.574997,\n",
       "       18.625   , 18.674995, 18.724998, 18.774994, 18.824997, 18.875   ,\n",
       "       18.924995, 18.974998, 19.024994, 19.074997, 19.125   , 19.174995,\n",
       "       19.224998, 19.274994, 19.324997, 19.375   , 19.424995, 19.474998,\n",
       "       19.524994, 19.574997, 19.625   , 19.674995, 19.724998, 19.774994,\n",
       "       19.824997, 19.875   , 19.924995, 19.974998, 20.024994, 20.074997,\n",
       "       20.125   , 20.174995, 20.224998, 20.274994, 20.324997, 20.375   ,\n",
       "       20.424995, 20.474998, 20.524994, 20.574997, 20.625   , 20.674995,\n",
       "       20.724998, 20.774994, 20.824997, 20.875   , 20.924995, 20.974998,\n",
       "       21.024994, 21.074997, 21.125   , 21.174995, 21.224998, 21.274994,\n",
       "       21.324997, 21.375   , 21.424995, 21.474998, 21.524994, 21.574997,\n",
       "       21.625   , 21.674995, 21.724998, 21.774994, 21.824997, 21.875   ,\n",
       "       21.924995, 21.974998, 22.024994, 22.074997, 22.125   , 22.174995,\n",
       "       22.224998, 22.274994, 22.324997, 22.375   , 22.424995, 22.474998,\n",
       "       22.524994, 22.574997, 22.625   , 22.674995, 22.724998, 22.774994,\n",
       "       22.824997, 22.875   , 22.924995, 22.974998, 23.024994, 23.074997,\n",
       "       23.125   , 23.174995, 23.224998, 23.274994, 23.324997, 23.375   ,\n",
       "       23.424995, 23.474998, 23.524994, 23.574997, 23.625   , 23.674995,\n",
       "       23.724998, 23.774994, 23.824997, 23.875   , 23.924995, 23.974998,\n",
       "       24.024994, 24.074997, 24.125   , 24.174995, 24.224998, 24.274994,\n",
       "       24.324997, 24.375   , 24.424995, 24.474998, 24.524994, 24.574997,\n",
       "       24.625   , 24.674995, 24.724998, 24.774994, 24.824997, 24.875   ,\n",
       "       24.924995, 24.974998, 25.024994, 25.074997, 25.125   , 25.174995,\n",
       "       25.224998, 25.274994, 25.324997, 25.375   , 25.424995, 25.474998,\n",
       "       25.524994, 25.574997, 25.625   , 25.674995, 25.724998, 25.774994,\n",
       "       25.824997, 25.875   , 25.924995, 25.974998, 26.024994, 26.074997,\n",
       "       26.125   , 26.174995, 26.224998, 26.274994, 26.324997, 26.375   ,\n",
       "       26.424995, 26.474998, 26.524994, 26.574997, 26.625   , 26.674995,\n",
       "       26.724998, 26.774994, 26.824997, 26.875   , 26.924995, 26.974998,\n",
       "       27.024994, 27.074997, 27.125   , 27.174995, 27.224998, 27.274994,\n",
       "       27.324997, 27.375   , 27.424995, 27.474998, 27.524994, 27.574997,\n",
       "       27.625   , 27.674995, 27.724998, 27.774994, 27.824997, 27.875   ,\n",
       "       27.924995, 27.974998], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.02 86.08 86.12 ... 93.92 93.98</div><input id='attrs-ddde0cf1-18fc-462f-a1fc-293fde7155fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddde0cf1-18fc-462f-a1fc-293fde7155fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29c6b1db-36c5-4d7d-a7a0-88419a850a40' class='xr-var-data-in' type='checkbox'><label for='data-29c6b1db-36c5-4d7d-a7a0-88419a850a40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.024994, 86.07501 , 86.125   , 86.17499 , 86.225006, 86.274994,\n",
       "       86.32501 , 86.375   , 86.42499 , 86.475006, 86.524994, 86.57501 ,\n",
       "       86.625   , 86.67499 , 86.725006, 86.774994, 86.82501 , 86.875   ,\n",
       "       86.92499 , 86.975006, 87.024994, 87.07501 , 87.125   , 87.17499 ,\n",
       "       87.225006, 87.274994, 87.32501 , 87.375   , 87.42499 , 87.475006,\n",
       "       87.524994, 87.57501 , 87.625   , 87.67499 , 87.725006, 87.774994,\n",
       "       87.82501 , 87.875   , 87.92499 , 87.975006, 88.024994, 88.07501 ,\n",
       "       88.125   , 88.17499 , 88.225006, 88.274994, 88.32501 , 88.375   ,\n",
       "       88.42499 , 88.475006, 88.524994, 88.57501 , 88.625   , 88.67499 ,\n",
       "       88.725006, 88.774994, 88.82501 , 88.875   , 88.92499 , 88.975006,\n",
       "       89.024994, 89.07501 , 89.125   , 89.17499 , 89.225006, 89.274994,\n",
       "       89.32501 , 89.375   , 89.42499 , 89.475006, 89.524994, 89.57501 ,\n",
       "       89.625   , 89.67499 , 89.725006, 89.774994, 89.82501 , 89.875   ,\n",
       "       89.92499 , 89.975006, 90.024994, 90.07501 , 90.125   , 90.17499 ,\n",
       "       90.225006, 90.274994, 90.32501 , 90.375   , 90.42499 , 90.475006,\n",
       "       90.524994, 90.57501 , 90.625   , 90.67499 , 90.725006, 90.774994,\n",
       "       90.82501 , 90.875   , 90.92499 , 90.975006, 91.024994, 91.07501 ,\n",
       "       91.125   , 91.17499 , 91.225006, 91.274994, 91.32501 , 91.375   ,\n",
       "       91.42499 , 91.475006, 91.524994, 91.57501 , 91.625   , 91.67499 ,\n",
       "       91.725006, 91.774994, 91.82501 , 91.875   , 91.92499 , 91.975006,\n",
       "       92.024994, 92.07501 , 92.125   , 92.17499 , 92.225006, 92.274994,\n",
       "       92.32501 , 92.375   , 92.42499 , 92.475006, 92.524994, 92.57501 ,\n",
       "       92.625   , 92.67499 , 92.725006, 92.774994, 92.82501 , 92.875   ,\n",
       "       92.92499 , 92.975006, 93.024994, 93.07501 , 93.125   , 93.17499 ,\n",
       "       93.225006, 93.274994, 93.32501 , 93.375   , 93.42499 , 93.475006,\n",
       "       93.524994, 93.57501 , 93.625   , 93.67499 , 93.725006, 93.774994,\n",
       "       93.82501 , 93.875   , 93.92499 , 93.975006], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-09-01</div><input id='attrs-c1c0e53c-2862-436a-b4c3-1f5e19681b3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1c0e53c-2862-436a-b4c3-1f5e19681b3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77162c8e-fe60-4032-8fd9-f0c5aaf0aca7' class='xr-var-data-in' type='checkbox'><label for='data-77162c8e-fe60-4032-8fd9-f0c5aaf0aca7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10fd74cc-7110-411a-af69-88ae1fa289bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10fd74cc-7110-411a-af69-88ae1fa289bf' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9ebe45f-b233-4978-9f12-f542137ee93d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9ebe45f-b233-4978-9f12-f542137ee93d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-909dec3b-9e09-41c3-b16c-048e1de0ab8e' class='xr-var-data-in' type='checkbox'><label for='data-909dec3b-9e09-41c3-b16c-048e1de0ab8e' 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>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[3200000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e8f15d2-adc2-46d7-96d1-9046f8c07559' class='xr-section-summary-in' type='checkbox'  ><label for='section-7e8f15d2-adc2-46d7-96d1-9046f8c07559' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 200, longitude: 160, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 18.02 18.07 18.12 18.17 ... 27.88 27.92 27.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(longitude=slice(86,94),latitude=slice(18,28))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "91600dec",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 100, latitude: 40, longitude: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float64 nan nan nan ... 230.4 188.8\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5400647b-bfa8-45d2-bf7c-884e7f529b51' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5400647b-bfa8-45d2-bf7c-884e7f529b51' 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>: 100</li><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c4f50569-9d3d-42c4-b74f-706bd3605d36' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c4f50569-9d3d-42c4-b74f-706bd3605d36' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>1981-06-01 ... 2005-09-01</div><input id='attrs-7a51e3c6-eb4e-4b31-b63d-e47918523da1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a51e3c6-eb4e-4b31-b63d-e47918523da1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad813aa9-e55f-46ac-a473-7a7f56931053' class='xr-var-data-in' type='checkbox'><label for='data-ad813aa9-e55f-46ac-a473-7a7f56931053' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
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       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-53733158-c6ac-4aa2-907c-98d10a01110c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53733158-c6ac-4aa2-907c-98d10a01110c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447d18f9-0419-4985-b91e-1d3333320c11' class='xr-var-data-in' type='checkbox'><label for='data-447d18f9-0419-4985-b91e-1d3333320c11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-650aaff2-2693-479c-b303-69efbf3d2c36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-650aaff2-2693-479c-b303-69efbf3d2c36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d504d3b-6ce4-4ec0-9e36-37436afed69c' class='xr-var-data-in' type='checkbox'><label for='data-9d504d3b-6ce4-4ec0-9e36-37436afed69c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4e99b14-3917-49f1-b7cb-e40b2c3bf882' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c4e99b14-3917-49f1-b7cb-e40b2c3bf882' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 208.5 230.4 188.8</div><input id='attrs-99e65342-8073-4df8-8636-f193a08010df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99e65342-8073-4df8-8636-f193a08010df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fad37fe6-2a31-4cff-bc48-fe3d053b1a7a' class='xr-var-data-in' type='checkbox'><label for='data-fad37fe6-2a31-4cff-bc48-fe3d053b1a7a' 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>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [133.89678937, 155.46110532, 230.98037671, ..., 275.52331433,\n",
       "         343.28179932, 500.43109134],\n",
       "        [187.11347956, 170.78231768, 248.30453574, ..., 167.09231633,\n",
       "         271.63955418, 400.34378113],\n",
       "        [232.34280392, 195.67346188, 180.9982605 , ..., 257.23327573,\n",
       "         329.25540089, 348.66754128]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "...\n",
       "        [317.91284271, 325.17346201, 361.66577163, ..., 267.84558172,\n",
       "         378.74087531, 505.20745808],\n",
       "        [334.98004176, 357.34854158, 338.02715977, ..., 177.84597788,\n",
       "         306.22396842, 368.7054445 ],\n",
       "        [265.1341246 , 263.09451231, 248.95587134, ..., 265.85815362,\n",
       "         271.34133846, 337.71618649]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [129.80400078, 152.13278171, 168.69747891, ..., 186.04707331,\n",
       "         176.43499766, 214.5176244 ],\n",
       "        [144.49536137, 150.51913425, 171.27456666, ..., 198.60873421,\n",
       "         200.06900025, 184.13995338],\n",
       "        [149.36831655, 139.7335205 , 117.97483809, ..., 208.46441687,\n",
       "         230.43916335, 188.80070483]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc1a6c7f-6d72-4b9c-a956-23e32e4acbcf' class='xr-section-summary-in' type='checkbox'  ><label for='section-dc1a6c7f-6d72-4b9c-a956-23e32e4acbcf' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 100, latitude: 40, longitude: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float64 nan nan nan ... 230.4 188.8\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to new lat and lon\n",
    "\n",
    "new_lon = np.arange(86.125,94,0.25)\n",
    "new_lat = np.arange(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(latitude=new_lat,longitude=new_lon)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-attrs dt {\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-55c43649-5a5f-4817-a39a-333c66fe2434' class='xr-array-in' type='checkbox' checked><label for='section-55c43649-5a5f-4817-a39a-333c66fe2434' 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>nan nan nan nan nan nan nan ... 74.31 103.7 151.5 220.4 251.8 284.7</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])</pre></div></div></li><li class='xr-section-item'><input id='section-e322201c-da0f-4be4-a630-544cd0c9fe93' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e322201c-da0f-4be4-a630-544cd0c9fe93' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-d1809758-f37d-4e94-b46b-0a499cc7a5cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1809758-f37d-4e94-b46b-0a499cc7a5cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca15b62f-ba3a-42d9-9b6e-f68cb94f814a' class='xr-var-data-in' type='checkbox'><label for='data-ca15b62f-ba3a-42d9-9b6e-f68cb94f814a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-df1813e8-b576-4369-96cf-e1d5874ded2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df1813e8-b576-4369-96cf-e1d5874ded2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c057dbc-265a-4e6e-b38d-f91898dc1092' class='xr-var-data-in' type='checkbox'><label for='data-8c057dbc-265a-4e6e-b38d-f91898dc1092' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-078d2eb5-c678-47b8-a1f0-4ca877a5981c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-078d2eb5-c678-47b8-a1f0-4ca877a5981c' 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 'precip' (latitude: 40, longitude: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean/30.4167\n",
    "\n",
    "\n",
    "\n",
    "chirps = pr_mm\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 16:09:23 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3cb4147e-0e4a-41a7-b8eb-514c8cc96c02' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3cb4147e-0e4a-41a7-b8eb-514c8cc96c02' 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>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f2ed09fc-c702-4cad-973b-b6f427e69ae0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f2ed09fc-c702-4cad-973b-b6f427e69ae0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1970-01-16 12:00:00 ... 2005-12-...</div><input id='attrs-6e9177b2-5501-4948-ba36-e69f911f4666' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e9177b2-5501-4948-ba36-e69f911f4666' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c4c4385-019e-429b-8192-20c679ba32d7' class='xr-var-data-in' type='checkbox'><label for='data-7c4c4385-019e-429b-8192-20c679ba32d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1970, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2005, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-d0e6271c-c1f7-46cd-a838-808933bdc4a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0e6271c-c1f7-46cd-a838-808933bdc4a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37bbc908-3d3c-45dd-ba2f-27a6621f34bf' class='xr-var-data-in' type='checkbox'><label for='data-37bbc908-3d3c-45dd-ba2f-27a6621f34bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-63228a37-7d24-4c12-b3b1-1271a6c6eb40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63228a37-7d24-4c12-b3b1-1271a6c6eb40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38cf7765-cac3-4b55-9988-1a3a7c721dff' class='xr-var-data-in' type='checkbox'><label for='data-38cf7765-cac3-4b55-9988-1a3a7c721dff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee1052a5-970e-41ae-a8f1-e6ee975fbad8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee1052a5-970e-41ae-a8f1-e6ee975fbad8' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e1331f8-9cb7-4d1d-a47f-71475f762ce0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e1331f8-9cb7-4d1d-a47f-71475f762ce0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-709f3cb6-bca8-493e-9d02-6086edb572d4' class='xr-var-data-in' type='checkbox'><label for='data-709f3cb6-bca8-493e-9d02-6086edb572d4' 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([[cftime.DatetimeNoLeap(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48d6e5b0-c087-48eb-83f4-ddca8770c93f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48d6e5b0-c087-48eb-83f4-ddca8770c93f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1fd847a-2138-40f3-810a-9acbc241512b' class='xr-var-data-in' type='checkbox'><label for='data-a1fd847a-2138-40f3-810a-9acbc241512b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[552960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3711180-6660-42ca-815c-2557c6676d9f' class='xr-section-summary-in' type='checkbox'  ><label for='section-e3711180-6660-42ca-815c-2557c6676d9f' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 16:09:23 2022: cdo remapnn,grid.des noresm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:36:42 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc noresm_pr_197001-200512.nc\n",
       "2018-03-21 03:01:05 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-19T16:13:52Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>e18baf90-8c3e-11e9-a8fd-f04da273d2fb</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>NO_85</dd><dt><span>model_sst_data_source :</span></dt><dd>NO_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 16:09:23 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening the noresm data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/NorESM1-M/noresm_remap.nc')\n",
    " \n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5cbdbd2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mkibria/miniconda3/envs/esp-sp/lib/python3.9/site-packages/xarray/coding/times.py:351: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n",
      "/tmp/ipykernel_29057/3137857967.py:3: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
      "  datetimeindex = data.indexes['time'].to_datetimeindex()\n"
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       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 16:09:23 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fd7fe736-c36a-484e-93e4-d30fa9b907fa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fd7fe736-c36a-484e-93e4-d30fa9b907fa' 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>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ddef23cd-789a-4d16-811d-9b81fd5ff2e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ddef23cd-789a-4d16-811d-9b81fd5ff2e1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>1970-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-37782190-3295-4506-b984-4a2c3c7faf57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37782190-3295-4506-b984-4a2c3c7faf57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7aa84198-2417-42b8-b170-11cce01e17d1' class='xr-var-data-in' type='checkbox'><label for='data-7aa84198-2417-42b8-b170-11cce01e17d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-16T12:00:00.000000000&#x27;, &#x27;1970-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1970-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-c1cee613-5ae5-4b96-bda1-56a810d47278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1cee613-5ae5-4b96-bda1-56a810d47278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02306800-4674-4fd8-9cd3-5816fe255439' class='xr-var-data-in' type='checkbox'><label for='data-02306800-4674-4fd8-9cd3-5816fe255439' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-e55112dc-cad6-460e-ab56-e5e11130ef01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e55112dc-cad6-460e-ab56-e5e11130ef01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11ea86d4-a439-4223-9d54-eddfac3d9ca9' class='xr-var-data-in' type='checkbox'><label for='data-11ea86d4-a439-4223-9d54-eddfac3d9ca9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-045f9140-d863-4a49-9f38-8503e3946666' class='xr-section-summary-in' type='checkbox'  checked><label for='section-045f9140-d863-4a49-9f38-8503e3946666' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1970-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-86445789-f96b-40ba-b4bb-c37f4366e71a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86445789-f96b-40ba-b4bb-c37f4366e71a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dbda5f5-86e2-4402-ad5e-2337dca38116' class='xr-var-data-in' type='checkbox'><label for='data-6dbda5f5-86e2-4402-ad5e-2337dca38116' 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([[cftime.DatetimeNoLeap(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a999612-89a3-428b-8a00-41ab47f7c354' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a999612-89a3-428b-8a00-41ab47f7c354' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54e8e677-63d4-408c-97a7-a31ee9872efa' class='xr-var-data-in' type='checkbox'><label for='data-54e8e677-63d4-408c-97a7-a31ee9872efa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[552960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e5374d60-7431-4334-a659-fe08d48f0902' class='xr-section-summary-in' type='checkbox'  ><label for='section-e5374d60-7431-4334-a659-fe08d48f0902' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 16:09:23 2022: cdo remapnn,grid.des noresm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:36:42 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc noresm_pr_197001-200512.nc\n",
       "2018-03-21 03:01:05 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-19T16:13:52Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>e18baf90-8c3e-11e9-a8fd-f04da273d2fb</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>NO_85</dd><dt><span>model_sst_data_source :</span></dt><dd>NO_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 16:09:23 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing time dim to datetime64[ns] dtype\n",
    "\n",
    "datetimeindex = data.indexes['time'].to_datetimeindex()\n",
    "data['time']=datetimeindex\n",
    "data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 299, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2005-11-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 16:09:23 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-088c7b9b-1d93-4b3f-bed4-07710e67981f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-088c7b9b-1d93-4b3f-bed4-07710e67981f' 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>: 299</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-09cdd2fa-0f6b-46b4-bf18-4978ee63fadf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09cdd2fa-0f6b-46b4-bf18-4978ee63fadf' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>1981-01-16T12:00:00 ... 2005-11-16</div><input id='attrs-a95528eb-964a-492d-a4fe-268e8fe4fdda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a95528eb-964a-492d-a4fe-268e8fe4fdda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e83b270c-1c81-407d-b1fa-5005eadc51cf' class='xr-var-data-in' type='checkbox'><label for='data-e83b270c-1c81-407d-b1fa-5005eadc51cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-16T12:00:00.000000000&#x27;, &#x27;2005-11-16T00:00:00.000000000&#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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-9b1ee794-c6b3-4471-b514-1d3ddccba5eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b1ee794-c6b3-4471-b514-1d3ddccba5eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8bf47c7-5824-40c4-a84b-f692bcb52095' class='xr-var-data-in' type='checkbox'><label for='data-b8bf47c7-5824-40c4-a84b-f692bcb52095' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-8497a5d0-499b-4a32-98e0-c06ca83bf558' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8497a5d0-499b-4a32-98e0-c06ca83bf558' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e167c369-a455-4759-86f7-c0c4b2373266' class='xr-var-data-in' type='checkbox'><label for='data-e167c369-a455-4759-86f7-c0c4b2373266' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae76c14c-d913-4f3b-aae5-9e69cf8118eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae76c14c-d913-4f3b-aae5-9e69cf8118eb' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1981-01-01 00:00:00 ... 2005-12-...</div><input id='attrs-200d113b-8ab8-4c53-b6f3-3130097c5490' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-200d113b-8ab8-4c53-b6f3-3130097c5490' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79da4dd9-7890-4387-81f8-4590a88c68e6' class='xr-var-data-in' type='checkbox'><label for='data-79da4dd9-7890-4387-81f8-4590a88c68e6' 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([[cftime.DatetimeNoLeap(1981, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-512b67d0-b0e7-4454-826d-bae0ff883323' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-512b67d0-b0e7-4454-826d-bae0ff883323' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c00ed674-95e5-41c0-ae8f-bacd8c5c1bc2' class='xr-var-data-in' type='checkbox'><label for='data-c00ed674-95e5-41c0-ae8f-bacd8c5c1bc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[382720 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b3a3e0e-798f-4714-8931-cf6c3883baa9' class='xr-section-summary-in' type='checkbox'  ><label for='section-7b3a3e0e-798f-4714-8931-cf6c3883baa9' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 16:09:23 2022: cdo remapnn,grid.des noresm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:36:42 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc noresm_pr_197001-200512.nc\n",
       "2018-03-21 03:01:05 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-19T16:13:52Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>e18baf90-8c3e-11e9-a8fd-f04da273d2fb</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>NO_85</dd><dt><span>model_sst_data_source :</span></dt><dd>NO_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 299, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2005-11-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 16:09:23 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 100, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 16:09:23 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2af8b6f6-7569-46ea-bf60-d23606f11327' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2af8b6f6-7569-46ea-bf60-d23606f11327' 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>: 100</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6303266d-1f5a-475d-aedf-0f785cf4319c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6303266d-1f5a-475d-aedf-0f785cf4319c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>1981-06-16 ... 2005-09-16</div><input id='attrs-0c6bbeae-5c81-4723-846c-445a611846be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c6bbeae-5c81-4723-846c-445a611846be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e7b9c63-b114-4d37-b17b-768c28ff00ac' class='xr-var-data-in' type='checkbox'><label for='data-6e7b9c63-b114-4d37-b17b-768c28ff00ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-85d4e3b6-6cc4-41e2-9fe6-169e8aa2c36f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85d4e3b6-6cc4-41e2-9fe6-169e8aa2c36f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c6e2d6b-8f23-43ca-8d45-663387bb7b13' class='xr-var-data-in' type='checkbox'><label for='data-5c6e2d6b-8f23-43ca-8d45-663387bb7b13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-f13b725d-5301-4b3a-9fc7-595945fced44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f13b725d-5301-4b3a-9fc7-595945fced44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-361f3b55-471b-400b-bc88-be7afabcf2ff' class='xr-var-data-in' type='checkbox'><label for='data-361f3b55-471b-400b-bc88-be7afabcf2ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b4c51cc2-4752-4548-9b70-2f1a2743e655' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b4c51cc2-4752-4548-9b70-2f1a2743e655' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1981-06-01 00:00:00 ... 2005-10-...</div><input id='attrs-63a62f45-cc25-491d-b3ea-aa28249700ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63a62f45-cc25-491d-b3ea-aa28249700ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eb5f141-efe3-4264-aa93-fc7e3084fc93' class='xr-var-data-in' type='checkbox'><label for='data-0eb5f141-efe3-4264-aa93-fc7e3084fc93' 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([[cftime.DatetimeNoLeap(1981, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0d3f48e-1dc0-4a4f-b911-4594a0b29fc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0d3f48e-1dc0-4a4f-b911-4594a0b29fc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f756477-cf65-42a9-8f8e-aedeb38222fc' class='xr-var-data-in' type='checkbox'><label for='data-6f756477-cf65-42a9-8f8e-aedeb38222fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[128000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b1bb44cf-cf72-458f-be4c-b2cfc60048a0' class='xr-section-summary-in' type='checkbox'  ><label for='section-b1bb44cf-cf72-458f-be4c-b2cfc60048a0' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 16:09:23 2022: cdo remapnn,grid.des noresm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:36:42 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc noresm_pr_197001-200512.nc\n",
       "2018-03-21 03:01:05 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-19T16:13:52Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>e18baf90-8c3e-11e9-a8fd-f04da273d2fb</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>NO_85</dd><dt><span>model_sst_data_source :</span></dt><dd>NO_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 100, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 16:09:23 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[2.7742273e-05, 2.8306044e-05, 3.0248149e-05, ..., 6.8471825e-05,\n",
       "        7.5464734e-05, 8.6877772e-05],\n",
       "       [2.6579350e-05, 2.7978740e-05, 2.8496665e-05, ..., 7.0115042e-05,\n",
       "        8.2230203e-05, 8.7119966e-05],\n",
       "       [2.5786814e-05, 2.6952594e-05, 2.7536636e-05, ..., 7.2977811e-05,\n",
       "        8.9453941e-05, 1.0093173e-04],\n",
       "       ...,\n",
       "       [1.6560616e-04, 1.9095752e-04, 2.0814226e-04, ..., 2.0336338e-04,\n",
       "        2.2328299e-04, 1.9262660e-04],\n",
       "       [1.7951433e-04, 2.0935173e-04, 2.6357861e-04, ..., 1.8205261e-04,\n",
       "        2.3664134e-04, 2.5447601e-04],\n",
       "       [1.9282992e-04, 3.1452853e-04, 5.0945889e-04, ..., 1.8248010e-04,\n",
       "        2.6029523e-04, 3.2178455e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b89b90bf-8a45-44ac-b694-ecc821fd46d4' class='xr-array-in' type='checkbox' checked><label for='section-b89b90bf-8a45-44ac-b694-ecc821fd46d4' 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>2.774e-05 2.831e-05 3.025e-05 ... 0.0001825 0.0002603 0.0003218</span></div><div class='xr-array-data'><pre>array([[2.7742273e-05, 2.8306044e-05, 3.0248149e-05, ..., 6.8471825e-05,\n",
       "        7.5464734e-05, 8.6877772e-05],\n",
       "       [2.6579350e-05, 2.7978740e-05, 2.8496665e-05, ..., 7.0115042e-05,\n",
       "        8.2230203e-05, 8.7119966e-05],\n",
       "       [2.5786814e-05, 2.6952594e-05, 2.7536636e-05, ..., 7.2977811e-05,\n",
       "        8.9453941e-05, 1.0093173e-04],\n",
       "       ...,\n",
       "       [1.6560616e-04, 1.9095752e-04, 2.0814226e-04, ..., 2.0336338e-04,\n",
       "        2.2328299e-04, 1.9262660e-04],\n",
       "       [1.7951433e-04, 2.0935173e-04, 2.6357861e-04, ..., 1.8205261e-04,\n",
       "        2.3664134e-04, 2.5447601e-04],\n",
       "       [1.9282992e-04, 3.1452853e-04, 5.0945889e-04, ..., 1.8248010e-04,\n",
       "        2.6029523e-04, 3.2178455e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-904d9162-9bed-4d20-b326-6f56cc1ad174' class='xr-section-summary-in' type='checkbox'  checked><label for='section-904d9162-9bed-4d20-b326-6f56cc1ad174' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-36804bb4-7f50-4a3f-a80d-586a869200eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36804bb4-7f50-4a3f-a80d-586a869200eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-873cd20f-8203-4ce0-a7d5-8f59b4549a36' class='xr-var-data-in' type='checkbox'><label for='data-873cd20f-8203-4ce0-a7d5-8f59b4549a36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-ab4a3fba-5d56-4f57-b8eb-ef7a5f5db0e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab4a3fba-5d56-4f57-b8eb-ef7a5f5db0e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f184a107-6da2-47a9-a570-3e66369564bc' class='xr-var-data-in' type='checkbox'><label for='data-f184a107-6da2-47a9-a570-3e66369564bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7dffdc80-8f37-4229-94ed-dcb191e51d45' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7dffdc80-8f37-4229-94ed-dcb191e51d45' 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 'pr' (latitude: 40, longitude: 32)>\n",
       "array([[2.7742273e-05, 2.8306044e-05, 3.0248149e-05, ..., 6.8471825e-05,\n",
       "        7.5464734e-05, 8.6877772e-05],\n",
       "       [2.6579350e-05, 2.7978740e-05, 2.8496665e-05, ..., 7.0115042e-05,\n",
       "        8.2230203e-05, 8.7119966e-05],\n",
       "       [2.5786814e-05, 2.6952594e-05, 2.7536636e-05, ..., 7.2977811e-05,\n",
       "        8.9453941e-05, 1.0093173e-04],\n",
       "       ...,\n",
       "       [1.6560616e-04, 1.9095752e-04, 2.0814226e-04, ..., 2.0336338e-04,\n",
       "        2.2328299e-04, 1.9262660e-04],\n",
       "       [1.7951433e-04, 2.0935173e-04, 2.6357861e-04, ..., 1.8205261e-04,\n",
       "        2.3664134e-04, 2.5447601e-04],\n",
       "       [1.9282992e-04, 3.1452853e-04, 5.0945889e-04, ..., 1.8248010e-04,\n",
       "        2.6029523e-04, 3.2178455e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[ 2.39693241,  2.44564216,  2.61344011, ...,  5.9159657 ,\n",
       "         6.52015298,  7.50623946],\n",
       "       [ 2.29645581,  2.41736314,  2.46211182, ...,  6.05793963,\n",
       "         7.10468951,  7.52716509],\n",
       "       [ 2.22798074,  2.32870408,  2.37916539, ...,  6.30528289,\n",
       "         7.72882048,  8.72050126],\n",
       "       ...,\n",
       "       [14.30837265, 16.49872991, 17.98349102, ..., 17.57059596,\n",
       "        19.29165004, 16.64293804],\n",
       "       [15.51003833, 18.08798905, 22.77319171, ..., 15.72934538,\n",
       "        20.4458117 , 21.98672695],\n",
       "       [16.66050483, 27.17526499, 44.01724767, ..., 15.76628066,\n",
       "        22.48950787, 27.80218525]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d9755a6a-a555-4665-84b4-7ea3588d2539' class='xr-array-in' type='checkbox' checked><label for='section-d9755a6a-a555-4665-84b4-7ea3588d2539' 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>2.397 2.446 2.613 2.655 2.709 2.727 ... 22.21 17.96 15.77 22.49 27.8</span></div><div class='xr-array-data'><pre>array([[ 2.39693241,  2.44564216,  2.61344011, ...,  5.9159657 ,\n",
       "         6.52015298,  7.50623946],\n",
       "       [ 2.29645581,  2.41736314,  2.46211182, ...,  6.05793963,\n",
       "         7.10468951,  7.52716509],\n",
       "       [ 2.22798074,  2.32870408,  2.37916539, ...,  6.30528289,\n",
       "         7.72882048,  8.72050126],\n",
       "       ...,\n",
       "       [14.30837265, 16.49872991, 17.98349102, ..., 17.57059596,\n",
       "        19.29165004, 16.64293804],\n",
       "       [15.51003833, 18.08798905, 22.77319171, ..., 15.72934538,\n",
       "        20.4458117 , 21.98672695],\n",
       "       [16.66050483, 27.17526499, 44.01724767, ..., 15.76628066,\n",
       "        22.48950787, 27.80218525]])</pre></div></div></li><li class='xr-section-item'><input id='section-7e3626c6-b275-4727-9cbc-56f2ae4d3a62' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e3626c6-b275-4727-9cbc-56f2ae4d3a62' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-3a9a63cc-919b-4ae0-b9cf-71b30721d5fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a9a63cc-919b-4ae0-b9cf-71b30721d5fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17d765e6-08b8-4c20-9600-5589072ea575' class='xr-var-data-in' type='checkbox'><label for='data-17d765e6-08b8-4c20-9600-5589072ea575' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-3903be08-6ddd-4593-ab93-29540c706283' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3903be08-6ddd-4593-ab93-29540c706283' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b95c32f0-83f8-4977-b713-c7e872b5a4f1' class='xr-var-data-in' type='checkbox'><label for='data-b95c32f0-83f8-4977-b713-c7e872b5a4f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf41f9ac-a102-476b-ac58-aa27ac4b8cfe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cf41f9ac-a102-476b-ac58-aa27ac4b8cfe' 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 'pr' (latitude: 40, longitude: 32)>\n",
       "array([[ 2.39693241,  2.44564216,  2.61344011, ...,  5.9159657 ,\n",
       "         6.52015298,  7.50623946],\n",
       "       [ 2.29645581,  2.41736314,  2.46211182, ...,  6.05793963,\n",
       "         7.10468951,  7.52716509],\n",
       "       [ 2.22798074,  2.32870408,  2.37916539, ...,  6.30528289,\n",
       "         7.72882048,  8.72050126],\n",
       "       ...,\n",
       "       [14.30837265, 16.49872991, 17.98349102, ..., 17.57059596,\n",
       "        19.29165004, 16.64293804],\n",
       "       [15.51003833, 18.08798905, 22.77319171, ..., 15.72934538,\n",
       "        20.4458117 , 21.98672695],\n",
       "       [16.66050483, 27.17526499, 44.01724767, ..., 15.76628066,\n",
       "        22.48950787, 27.80218525]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noresm = jjas_mean*86400\n",
    "noresm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
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       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (latitude: 40, longitude: 32)&gt;\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [ 6.12281809,  7.44934479,  6.84342255, ..., 10.86256574,\n",
       "        10.30607677,  3.55502693],\n",
       "       [ 5.21856304,  8.06086214, 11.56778055, ..., 10.4959115 ,\n",
       "        12.35821823, 12.55675603],\n",
       "       [ 6.78636906, 18.17413537, 36.39700047, ...,  8.51986631,\n",
       "        14.21179932, 18.44299642]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b00f9ca6-66cd-485f-88cc-0e35c67d8977' class='xr-array-in' type='checkbox' checked><label for='section-b00f9ca6-66cd-485f-88cc-0e35c67d8977' 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>nan nan nan nan nan nan nan ... 32.39 18.8 12.98 8.52 14.21 18.44</span></div><div class='xr-array-data'><pre>array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [ 6.12281809,  7.44934479,  6.84342255, ..., 10.86256574,\n",
       "        10.30607677,  3.55502693],\n",
       "       [ 5.21856304,  8.06086214, 11.56778055, ..., 10.4959115 ,\n",
       "        12.35821823, 12.55675603],\n",
       "       [ 6.78636906, 18.17413537, 36.39700047, ...,  8.51986631,\n",
       "        14.21179932, 18.44299642]])</pre></div></div></li><li class='xr-section-item'><input id='section-f80b7ac8-afac-4554-ba1d-9cc7ee02aad2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f80b7ac8-afac-4554-ba1d-9cc7ee02aad2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-39dc03bb-824e-4317-8590-4fab16a39a77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39dc03bb-824e-4317-8590-4fab16a39a77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-644481e4-b3cd-485b-a4d8-3c2c12e80851' class='xr-var-data-in' type='checkbox'><label for='data-644481e4-b3cd-485b-a4d8-3c2c12e80851' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-e1ac88d7-4617-45c6-91ad-fac3217588da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1ac88d7-4617-45c6-91ad-fac3217588da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9b544e6-a6dd-4d70-b9f9-a1833db3021f' class='xr-var-data-in' type='checkbox'><label for='data-d9b544e6-a6dd-4d70-b9f9-a1833db3021f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b59b8ec-784f-4481-a65d-f446b88747bb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b59b8ec-784f-4481-a65d-f446b88747bb' 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 (latitude: 40, longitude: 32)>\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [ 6.12281809,  7.44934479,  6.84342255, ..., 10.86256574,\n",
       "        10.30607677,  3.55502693],\n",
       "       [ 5.21856304,  8.06086214, 11.56778055, ..., 10.4959115 ,\n",
       "        12.35821823, 12.55675603],\n",
       "       [ 6.78636906, 18.17413537, 36.39700047, ...,  8.51986631,\n",
       "        14.21179932, 18.44299642]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = noresm - chirps\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (latitude: 40, longitude: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [ 74.80028435,  82.31879509,  61.4307046 , ..., 161.93376289,\n",
       "        114.6958182 ,  27.16267635],\n",
       "       [ 50.70762827,  80.39054672, 103.23387867, ..., 200.55496511,\n",
       "        152.8046416 , 133.15795061],\n",
       "       [ 68.72873963, 201.90949509, 477.63542952, ..., 117.57354592,\n",
       "        171.68760214, 197.05763789]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b0504391-237d-4754-9416-92621344bb62' class='xr-array-in' type='checkbox' checked><label for='section-b0504391-237d-4754-9416-92621344bb62' 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>nan nan nan nan nan nan ... 1.326e+03 551.6 260.6 117.6 171.7 197.1</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [ 74.80028435,  82.31879509,  61.4307046 , ..., 161.93376289,\n",
       "        114.6958182 ,  27.16267635],\n",
       "       [ 50.70762827,  80.39054672, 103.23387867, ..., 200.55496511,\n",
       "        152.8046416 , 133.15795061],\n",
       "       [ 68.72873963, 201.90949509, 477.63542952, ..., 117.57354592,\n",
       "        171.68760214, 197.05763789]])</pre></div></div></li><li class='xr-section-item'><input id='section-c1ad044b-bf4a-4c5c-ac57-2753471a0b51' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c1ad044b-bf4a-4c5c-ac57-2753471a0b51' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-24e42f12-9cf0-4a84-b2a0-b1f05661d30f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24e42f12-9cf0-4a84-b2a0-b1f05661d30f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39ff26eb-d4dd-42fd-8fba-dd57df37f472' class='xr-var-data-in' type='checkbox'><label for='data-39ff26eb-d4dd-42fd-8fba-dd57df37f472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-20aafa09-2f6f-4dfa-a523-43ddc4bb65b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20aafa09-2f6f-4dfa-a523-43ddc4bb65b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd433146-0149-492b-92ad-82fd57868f91' class='xr-var-data-in' type='checkbox'><label for='data-dd433146-0149-492b-92ad-82fd57868f91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-40f6d78a-c0af-4200-ae18-e81d7c0a089e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-40f6d78a-c0af-4200-ae18-e81d7c0a089e' 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 (latitude: 40, longitude: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [ 74.80028435,  82.31879509,  61.4307046 , ..., 161.93376289,\n",
       "        114.6958182 ,  27.16267635],\n",
       "       [ 50.70762827,  80.39054672, 103.23387867, ..., 200.55496511,\n",
       "        152.8046416 , 133.15795061],\n",
       "       [ 68.72873963, 201.90949509, 477.63542952, ..., 117.57354592,\n",
       "        171.68760214, 197.05763789]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((noresm - chirps)/chirps)*100\n",
    "bias_percentage\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ac9e9ad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in bias_percentage.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['longitude'], bias['latitude'],bias[:,:],\n",
    "                  levels=np.arange(-15,15+3,3), transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-15,15+3,3),  orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(RegCM NORESM-CHIRPS)')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(noresm-chirps).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '14'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['longitude'], bias_percentage['latitude'],bias_percentage[:,:],\n",
    "                levels=np.arange(-150,150+25,25),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-150,150+25,25),orientation = 'horizontal',shrink=0.7, fraction = 0.05 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(RegCM NORESM-CHIRPS)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(noresm-chirps).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "220503a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \\nBrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\\nGreens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \\nPastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\\nRdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \\nSpectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\\nautumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \\ncopper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\\ngist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\\ngnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\\nmagma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \\nseismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \\nter'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}