Seasonal Bias ensemble average(RegCM-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",
    "\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-c1cb0134-cbec-4f78-951b-864378e44be0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c1cb0134-cbec-4f78-951b-864378e44be0' 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-ea19414e-1b20-44da-99fd-81e384fdf888' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ea19414e-1b20-44da-99fd-81e384fdf888' 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-7cc92861-d891-4853-b529-aba0554d8945' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cc92861-d891-4853-b529-aba0554d8945' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83e4eedb-44a1-4074-8136-f1890d16fb45' class='xr-var-data-in' type='checkbox'><label for='data-83e4eedb-44a1-4074-8136-f1890d16fb45' 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-0c3b30c6-14b6-400b-a337-d29e229178d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c3b30c6-14b6-400b-a337-d29e229178d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c713df38-ad98-4122-8238-aed1c09dbedf' class='xr-var-data-in' type='checkbox'><label for='data-c713df38-ad98-4122-8238-aed1c09dbedf' 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-41b338bc-73a1-4aa5-af3c-a0f30cb40dd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41b338bc-73a1-4aa5-af3c-a0f30cb40dd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44c54c75-62a1-427f-8e79-e35a30c37764' class='xr-var-data-in' type='checkbox'><label for='data-44c54c75-62a1-427f-8e79-e35a30c37764' 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-43bfd575-45d3-4cef-a0fa-ab45ec472d1e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-43bfd575-45d3-4cef-a0fa-ab45ec472d1e' 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-1a1737f3-e812-4d8b-94f4-e23a350de011' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a1737f3-e812-4d8b-94f4-e23a350de011' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de994250-8742-45e2-8045-08e7be7f1673' class='xr-var-data-in' type='checkbox'><label for='data-de994250-8742-45e2-8045-08e7be7f1673' 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-c924ae62-cc60-440a-86f4-0a71e13eefcc' class='xr-section-summary-in' type='checkbox'  ><label for='section-c924ae62-cc60-440a-86f4-0a71e13eefcc' 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",
       "  * 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",
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       "    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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   "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: 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",
       "    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-8deb494a-7127-4d4d-95a0-85edccae81ff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8deb494a-7127-4d4d-95a0-85edccae81ff' 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-5da9deea-6520-4ab3-904a-8c0316eb50e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5da9deea-6520-4ab3-904a-8c0316eb50e3' 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-534a26cf-f207-479f-a4a2-a758ce0af0aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-534a26cf-f207-479f-a4a2-a758ce0af0aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baad19f0-7fe8-4bda-8913-53cebb9b53fc' class='xr-var-data-in' type='checkbox'><label for='data-baad19f0-7fe8-4bda-8913-53cebb9b53fc' 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-544aa14b-84b1-4783-8010-6fa6affea349' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-544aa14b-84b1-4783-8010-6fa6affea349' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bda5965-2b0d-4ee1-9d8e-47efa5afe0eb' class='xr-var-data-in' type='checkbox'><label for='data-8bda5965-2b0d-4ee1-9d8e-47efa5afe0eb' 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-63da34a0-aa36-4cf7-ba94-3414e185ccec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63da34a0-aa36-4cf7-ba94-3414e185ccec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28245d9b-b0bc-4dad-90fa-b3525c171984' class='xr-var-data-in' type='checkbox'><label for='data-28245d9b-b0bc-4dad-90fa-b3525c171984' 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-634e2976-41cb-4342-8f36-c121c8de9620' class='xr-section-summary-in' type='checkbox'  checked><label for='section-634e2976-41cb-4342-8f36-c121c8de9620' 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-2b0ad654-d37e-4bc1-ad57-222165d5737f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b0ad654-d37e-4bc1-ad57-222165d5737f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c4d510e-18d4-4863-aaec-df2e4d7cd6d3' class='xr-var-data-in' type='checkbox'><label for='data-8c4d510e-18d4-4863-aaec-df2e4d7cd6d3' 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-fc13d68d-f4a4-438b-84da-2ad4b12e5bc3' class='xr-section-summary-in' type='checkbox'  ><label for='section-fc13d68d-f4a4-438b-84da-2ad4b12e5bc3' 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-f73a421f-698b-470e-9058-0156cd4d935e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f73a421f-698b-470e-9058-0156cd4d935e' 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-d52d4e60-2a7f-4d5a-8f59-f2f774130917' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d52d4e60-2a7f-4d5a-8f59-f2f774130917' 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-bad49cbd-1468-40f1-9297-38ac1d79c482' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bad49cbd-1468-40f1-9297-38ac1d79c482' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-539ceb69-18ee-4e92-953d-d54271cfb8f0' class='xr-var-data-in' type='checkbox'><label for='data-539ceb69-18ee-4e92-953d-d54271cfb8f0' 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-d403569a-f70b-4cb1-84ed-a4503e97de93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d403569a-f70b-4cb1-84ed-a4503e97de93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea54248a-3d5f-4cf5-af98-3ea4955a8174' class='xr-var-data-in' type='checkbox'><label for='data-ea54248a-3d5f-4cf5-af98-3ea4955a8174' 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-2e573639-81d4-40d5-a10d-b7e13dfe6fbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e573639-81d4-40d5-a10d-b7e13dfe6fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5956b0ce-cec8-4ea7-b83f-8b36f4b3f990' class='xr-var-data-in' type='checkbox'><label for='data-5956b0ce-cec8-4ea7-b83f-8b36f4b3f990' 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-948406db-63bb-4efe-827b-7a96a3ebd38e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-948406db-63bb-4efe-827b-7a96a3ebd38e' 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-8471c815-0934-4053-be1c-44d858270e0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8471c815-0934-4053-be1c-44d858270e0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76b74113-15f2-49f5-befe-b96fddbfa22c' class='xr-var-data-in' type='checkbox'><label for='data-76b74113-15f2-49f5-befe-b96fddbfa22c' 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-5817539b-a75c-43e2-aca8-a24fdb98612f' class='xr-section-summary-in' type='checkbox'  ><label for='section-5817539b-a75c-43e2-aca8-a24fdb98612f' 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-aef466e2-6aca-4e88-b9b9-c778aaa98b2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aef466e2-6aca-4e88-b9b9-c778aaa98b2f' 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-0ef85a64-0295-43f1-a441-9a3e4206e53e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ef85a64-0295-43f1-a441-9a3e4206e53e' 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-98f4d2fe-8e61-403f-a291-c7ccd946596a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f4d2fe-8e61-403f-a291-c7ccd946596a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd8992ef-70fb-4f9e-96f4-e79d55c6683c' class='xr-var-data-in' type='checkbox'><label for='data-cd8992ef-70fb-4f9e-96f4-e79d55c6683c' 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-d4845bfd-3470-49ef-91e5-06568e1e5998' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4845bfd-3470-49ef-91e5-06568e1e5998' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a1d2602-4d12-40f2-851f-fd0fd69cee6f' class='xr-var-data-in' type='checkbox'><label for='data-3a1d2602-4d12-40f2-851f-fd0fd69cee6f' 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-29ebf60a-9688-463a-91da-93e49f530227' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29ebf60a-9688-463a-91da-93e49f530227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49449538-441a-470e-9c9c-3cfa2715c6cf' class='xr-var-data-in' type='checkbox'><label for='data-49449538-441a-470e-9c9c-3cfa2715c6cf' 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-34c0105e-59fb-4a6d-8f0f-71426cb8dbd8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-34c0105e-59fb-4a6d-8f0f-71426cb8dbd8' 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-ab35f280-6359-40c9-9bb8-54838669115b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab35f280-6359-40c9-9bb8-54838669115b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cace82b-a0eb-4ace-ac28-2f38c1658ac4' class='xr-var-data-in' type='checkbox'><label for='data-0cace82b-a0eb-4ace-ac28-2f38c1658ac4' 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-50c52d0d-a165-47b2-be9d-4670d95e9374' class='xr-section-summary-in' type='checkbox'  ><label for='section-50c52d0d-a165-47b2-be9d-4670d95e9374' 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",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\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-f654de3f-2a5a-4d94-9909-3aec21bead67' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f654de3f-2a5a-4d94-9909-3aec21bead67' 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-ee1debb6-3b0a-4db2-bba1-fa97ab347164' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee1debb6-3b0a-4db2-bba1-fa97ab347164' 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-30e8ef61-5527-4f9c-84f0-acced4a9474c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30e8ef61-5527-4f9c-84f0-acced4a9474c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33e92a08-7c35-450e-a066-e81d49d8c74f' class='xr-var-data-in' type='checkbox'><label for='data-33e92a08-7c35-450e-a066-e81d49d8c74f' 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",
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       "       &#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;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'>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-2a842835-9532-4e69-8a45-655d55ddce7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a842835-9532-4e69-8a45-655d55ddce7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad61cd77-473b-4352-b3f1-f4da25bd8dad' class='xr-var-data-in' type='checkbox'><label for='data-ad61cd77-473b-4352-b3f1-f4da25bd8dad' 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><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-1c19d806-ccf4-4c07-9e5a-1a380b9436d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c19d806-ccf4-4c07-9e5a-1a380b9436d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65993a82-f24d-49aa-9c9e-37c92730dfc0' class='xr-var-data-in' type='checkbox'><label for='data-65993a82-f24d-49aa-9c9e-37c92730dfc0' 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></ul></div></li><li class='xr-section-item'><input id='section-16f978e1-c1c4-4b26-9b9a-76c7beb96495' class='xr-section-summary-in' type='checkbox'  checked><label for='section-16f978e1-c1c4-4b26-9b9a-76c7beb96495' 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-909d7634-00b2-49c5-8715-94d3de5f5ba7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-909d7634-00b2-49c5-8715-94d3de5f5ba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a5ef46-5b85-47ab-ba82-fc45a0334f3a' class='xr-var-data-in' type='checkbox'><label for='data-95a5ef46-5b85-47ab-ba82-fc45a0334f3a' 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",
       "        [133.89678967, 155.46110532, 230.98037665, ..., 275.52331618,\n",
       "         343.28179751, 500.43109415],\n",
       "        [187.11347962, 170.78231825, 248.30453512, ..., 167.09231545,\n",
       "         271.63955545, 400.34378066],\n",
       "        [232.34280369, 195.6734621 , 180.99826108, ..., 257.23327569,\n",
       "         329.25540136, 348.66754211]],\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",
       "        [317.9128418 , 325.17346252, 361.66577163, ..., 267.84558099,\n",
       "         378.7408752 , 505.20745976],\n",
       "        [334.98004119, 357.34854129, 338.02715959, ..., 177.84597796,\n",
       "         306.22396758, 368.70544426],\n",
       "        [265.13412583, 263.09451302, 248.95587142, ..., 265.85815445,\n",
       "         271.34133922, 337.71618602]],\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",
       "        [129.80400081, 152.13278199, 168.69747921, ..., 186.04707333,\n",
       "         176.43499721, 214.51762374],\n",
       "        [144.49536137, 150.51913454, 171.27456695, ..., 198.60873465,\n",
       "         200.0690004 , 184.13995347],\n",
       "        [149.36831664, 139.73352042, 117.9748386 , ..., 208.46441619,\n",
       "         230.43916316, 188.80070521]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01df2bef-8717-4aac-bcd3-386db9922541' class='xr-section-summary-in' type='checkbox'  ><label for='section-01df2bef-8717-4aac-bcd3-386db9922541' 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",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\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 low resolution \n",
    "new_lon=np.arange(86.125,94,0.25)\n",
    "new_lat=np.arange(18.125,28,.25)\n",
    "jjas_data = jjas_data.interp(longitude=new_lon,latitude=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\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",
       "       [248.97755746, 275.25243237, 338.84412051, ..., 204.03614269,\n",
       "        273.31148617, 398.09106593],\n",
       "       [313.03271648, 304.99211103, 340.83162938, ..., 159.18378847,\n",
       "        245.99790446, 286.82859665],\n",
       "       [300.33862553, 273.78465937, 231.7827732 , ..., 220.4120115 ,\n",
       "        251.78057764, 284.67563868]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float64 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'>'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-da562339-cc71-4a62-aa1f-8693a7b79896' class='xr-array-in' type='checkbox' checked><label for='section-da562339-cc71-4a62-aa1f-8693a7b79896' 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",
       "       [248.97755746, 275.25243237, 338.84412051, ..., 204.03614269,\n",
       "        273.31148617, 398.09106593],\n",
       "       [313.03271648, 304.99211103, 340.83162938, ..., 159.18378847,\n",
       "        245.99790446, 286.82859665],\n",
       "       [300.33862553, 273.78465937, 231.7827732 , ..., 220.4120115 ,\n",
       "        251.78057764, 284.67563868]])</pre></div></div></li><li class='xr-section-item'><input id='section-714d5bfb-6734-454d-a4a0-b95348c0144c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-714d5bfb-6734-454d-a4a0-b95348c0144c' 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'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-ac25c91f-29ff-4214-8c02-32f72f01bb41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac25c91f-29ff-4214-8c02-32f72f01bb41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd687de3-f8c5-43d8-84e3-58db219219a5' class='xr-var-data-in' type='checkbox'><label for='data-bd687de3-f8c5-43d8-84e3-58db219219a5' 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><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-41510c54-d4a4-4dbc-b85b-52fb9b5bdb60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41510c54-d4a4-4dbc-b85b-52fb9b5bdb60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d825a99f-c5c0-4829-901b-678a9b014130' class='xr-var-data-in' type='checkbox'><label for='data-d825a99f-c5c0-4829-901b-678a9b014130' 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></ul></div></li><li class='xr-section-item'><input id='section-369c563b-fb7e-47b3-9a77-f6e8fe1c9e44' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-369c563b-fb7e-47b3-9a77-f6e8fe1c9e44' 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",
       "       [248.97755746, 275.25243237, 338.84412051, ..., 204.03614269,\n",
       "        273.31148617, 398.09106593],\n",
       "       [313.03271648, 304.99211103, 340.83162938, ..., 159.18378847,\n",
       "        245.99790446, 286.82859665],\n",
       "       [300.33862553, 273.78465937, 231.7827732 , ..., 220.4120115 ,\n",
       "        251.78057764, 284.67563868]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "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",
    "pr_mm\n",
    "\n",
    "\n",
    "chirps = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "  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:                                         Fri Jul 22 11:32:44 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\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-9338fba3-d51a-4564-a42b-c1aacf757fc7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9338fba3-d51a-4564-a42b-c1aacf757fc7' 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-734a1b8f-f387-407c-bca7-79793c8bd899' class='xr-section-summary-in' type='checkbox'  checked><label for='section-734a1b8f-f387-407c-bca7-79793c8bd899' 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-1b33b8c4-6afa-4cf7-ba15-7a2d6992a38e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b33b8c4-6afa-4cf7-ba15-7a2d6992a38e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b29c1048-f630-404b-8ac1-be900fae5206' class='xr-var-data-in' type='checkbox'><label for='data-b29c1048-f630-404b-8ac1-be900fae5206' 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-9a1a0de7-20ff-4a1e-8fac-d5d94e957efd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a1a0de7-20ff-4a1e-8fac-d5d94e957efd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-975adff2-d5b2-42ce-90bd-f2c699ef6635' class='xr-var-data-in' type='checkbox'><label for='data-975adff2-d5b2-42ce-90bd-f2c699ef6635' 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-2f705b62-cef6-44f9-9795-20008cd71036' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f705b62-cef6-44f9-9795-20008cd71036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6860c14b-08f4-4abf-9faf-203189cfcb5a' class='xr-var-data-in' type='checkbox'><label for='data-6860c14b-08f4-4abf-9faf-203189cfcb5a' 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-b52cd412-c346-4791-a3da-9e7758b26591' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b52cd412-c346-4791-a3da-9e7758b26591' 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-f6000859-5ffc-40ab-9677-d35c1a62d2ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f6000859-5ffc-40ab-9677-d35c1a62d2ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24b91217-fe4b-4791-94a4-b976b3aa7769' class='xr-var-data-in' type='checkbox'><label for='data-24b91217-fe4b-4791-94a4-b976b3aa7769' 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-85a8adf8-a584-4ded-92e3-c7522347848f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85a8adf8-a584-4ded-92e3-c7522347848f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6479aea6-7d9d-4230-b414-67d056303066' class='xr-var-data-in' type='checkbox'><label for='data-6479aea6-7d9d-4230-b414-67d056303066' 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-965fb0c6-6bb0-4330-a395-c63f2cb695df' class='xr-section-summary-in' type='checkbox'  ><label for='section-965fb0c6-6bb0-4330-a395-c63f2cb695df' 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>Fri Jul 22 11:32:44 2022: cdo remapnn,grid1.des regcmensble.nc regcmensble_remap1.nc\n",
       "Thu Jul 21 14:08:02 2022: cdo divc,3 final.nc regcmensble.nc\n",
       "Thu Jul 21 14:06:30 2022: cdo -add miroc5_pr_197001-200512.nc -add mpiesm_pr_197001-200512.nc noresm_pr_197001-200512.nc final.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : 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>2019-09-12T16:23:22Z</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>635194b8-8309-11e9-827b-f04da273f023</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>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_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> 1975-01-01 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 :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</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:                                         Fri Jul 22 11:32:44 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening miroc5 data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/ensemble-average/regcmensble_remap1.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b7437536",
   "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_9970/1463838701.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",
       ".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.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:                                         Fri Jul 22 11:32:44 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\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-0d586433-9b58-4c03-9ef0-3bc4b0324354' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0d586433-9b58-4c03-9ef0-3bc4b0324354' 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-d4e779b2-dd9a-4ac2-90ad-e72f2387b633' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d4e779b2-dd9a-4ac2-90ad-e72f2387b633' 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-d0b1f75d-4f11-4333-a218-b19294b93093' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0b1f75d-4f11-4333-a218-b19294b93093' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28af6c5f-3a1e-467d-94ae-019e25f8fa82' class='xr-var-data-in' type='checkbox'><label for='data-28af6c5f-3a1e-467d-94ae-019e25f8fa82' 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-6c0f5f5c-f206-4907-90f9-9766660d71dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c0f5f5c-f206-4907-90f9-9766660d71dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-990bbde0-6830-4e68-a0ce-b8a6d93a0441' class='xr-var-data-in' type='checkbox'><label for='data-990bbde0-6830-4e68-a0ce-b8a6d93a0441' 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-e4d4bb1d-c685-44bf-9563-d3cda4b4f31a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4d4bb1d-c685-44bf-9563-d3cda4b4f31a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48eda826-8f28-4c5f-9b05-40670d010ab7' class='xr-var-data-in' type='checkbox'><label for='data-48eda826-8f28-4c5f-9b05-40670d010ab7' 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-836be963-1331-4196-a259-5a6ff21cf7f5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-836be963-1331-4196-a259-5a6ff21cf7f5' 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-ba098dad-cf7e-48da-a827-526d7cf6b753' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba098dad-cf7e-48da-a827-526d7cf6b753' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4a3cce4-639a-4bf3-bd22-19864ecb42f6' class='xr-var-data-in' type='checkbox'><label for='data-e4a3cce4-639a-4bf3-bd22-19864ecb42f6' 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-d81a9705-523b-4e1c-8ccf-d39aa7a252ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d81a9705-523b-4e1c-8ccf-d39aa7a252ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68d395d8-c291-4afa-9a57-b5dc1b343ff7' class='xr-var-data-in' type='checkbox'><label for='data-68d395d8-c291-4afa-9a57-b5dc1b343ff7' 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-37e7fd02-4d0e-4069-a39e-9e8c6543bcb9' class='xr-section-summary-in' type='checkbox'  ><label for='section-37e7fd02-4d0e-4069-a39e-9e8c6543bcb9' 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>Fri Jul 22 11:32:44 2022: cdo remapnn,grid1.des regcmensble.nc regcmensble_remap1.nc\n",
       "Thu Jul 21 14:08:02 2022: cdo divc,3 final.nc regcmensble.nc\n",
       "Thu Jul 21 14:06:30 2022: cdo -add miroc5_pr_197001-200512.nc -add mpiesm_pr_197001-200512.nc noresm_pr_197001-200512.nc final.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : 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>2019-09-12T16:23:22Z</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>635194b8-8309-11e9-827b-f04da273f023</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>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_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> 1975-01-01 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 :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</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:                                         Fri Jul 22 11:32:44 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       "\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: 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:                                         Fri Jul 22 11:32:44 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\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-06f1acd3-e328-417b-b2ee-415ed17de02e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06f1acd3-e328-417b-b2ee-415ed17de02e' 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-3040d141-ab2c-454a-85db-655bd48855e7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3040d141-ab2c-454a-85db-655bd48855e7' 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-2e29508e-272f-4c86-9c44-a9e2ae52b985' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e29508e-272f-4c86-9c44-a9e2ae52b985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b591c55-373f-40ff-94a3-4e82c8208386' class='xr-var-data-in' type='checkbox'><label for='data-5b591c55-373f-40ff-94a3-4e82c8208386' 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-ab3166b9-e96c-48a3-a649-f8d6222bed31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab3166b9-e96c-48a3-a649-f8d6222bed31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c49d39d-7dc4-41e9-a0ef-04a3ac2dc85a' class='xr-var-data-in' type='checkbox'><label for='data-0c49d39d-7dc4-41e9-a0ef-04a3ac2dc85a' 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-5d66b3d8-a29d-4f4f-8b5b-124de6e1c55a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d66b3d8-a29d-4f4f-8b5b-124de6e1c55a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8851f4a-0a76-4fd1-81e4-8cb75d62e692' class='xr-var-data-in' type='checkbox'><label for='data-c8851f4a-0a76-4fd1-81e4-8cb75d62e692' 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-9eba8589-2d58-4e39-868e-9956bfb15367' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9eba8589-2d58-4e39-868e-9956bfb15367' 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-386384c7-067d-4192-9ed2-12d713771765' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-386384c7-067d-4192-9ed2-12d713771765' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e614906b-3932-4461-85f9-8ab7d62b6cb6' class='xr-var-data-in' type='checkbox'><label for='data-e614906b-3932-4461-85f9-8ab7d62b6cb6' 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-096ed0ab-788f-41ee-b3b9-c384c78e378b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-096ed0ab-788f-41ee-b3b9-c384c78e378b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdc3e8d6-74c4-4792-9f70-62c7775e8438' class='xr-var-data-in' type='checkbox'><label for='data-cdc3e8d6-74c4-4792-9f70-62c7775e8438' 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-3bb0eaf4-52ea-4cea-9443-6f0713dae9fc' class='xr-section-summary-in' type='checkbox'  ><label for='section-3bb0eaf4-52ea-4cea-9443-6f0713dae9fc' 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>Fri Jul 22 11:32:44 2022: cdo remapnn,grid1.des regcmensble.nc regcmensble_remap1.nc\n",
       "Thu Jul 21 14:08:02 2022: cdo divc,3 final.nc regcmensble.nc\n",
       "Thu Jul 21 14:06:30 2022: cdo -add miroc5_pr_197001-200512.nc -add mpiesm_pr_197001-200512.nc noresm_pr_197001-200512.nc final.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : 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>2019-09-12T16:23:22Z</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>635194b8-8309-11e9-827b-f04da273f023</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>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_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> 1975-01-01 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 :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</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:                                         Fri Jul 22 11:32:44 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\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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       ".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: 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:                                         Fri Jul 22 11:32:44 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\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-80d775af-ab2b-4e06-b07c-c1c46b5c3a64' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-80d775af-ab2b-4e06-b07c-c1c46b5c3a64' 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-a5dc722e-feae-4a54-871d-8196430d3a38' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5dc722e-feae-4a54-871d-8196430d3a38' 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-29ebb85d-ba91-4db2-85b2-50a056e0039c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29ebb85d-ba91-4db2-85b2-50a056e0039c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91ade29f-60e1-4c2f-8c9f-75b4522d9943' class='xr-var-data-in' type='checkbox'><label for='data-91ade29f-60e1-4c2f-8c9f-75b4522d9943' 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-e378414f-50d9-4026-8fec-361386ac8ce8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e378414f-50d9-4026-8fec-361386ac8ce8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60d94738-142e-403c-9adf-ddefe352dce7' class='xr-var-data-in' type='checkbox'><label for='data-60d94738-142e-403c-9adf-ddefe352dce7' 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-5c5ddcd6-4b44-4a32-8096-31544c3c6afd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c5ddcd6-4b44-4a32-8096-31544c3c6afd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07a131d3-e669-4e37-9911-474a196d5c33' class='xr-var-data-in' type='checkbox'><label for='data-07a131d3-e669-4e37-9911-474a196d5c33' 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-7bb1cca4-3954-4e8d-8526-0d28d82cb5ef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7bb1cca4-3954-4e8d-8526-0d28d82cb5ef' 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-83d23081-160d-4ddf-87d6-d115e9819f63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83d23081-160d-4ddf-87d6-d115e9819f63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49250219-ccee-4816-a4a2-758c340cbd36' class='xr-var-data-in' type='checkbox'><label for='data-49250219-ccee-4816-a4a2-758c340cbd36' 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-5bb38f57-4a39-43e4-a6c1-c138b96cd414' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bb38f57-4a39-43e4-a6c1-c138b96cd414' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61eebfc9-6e3a-4386-b6ee-afcb7478ef18' class='xr-var-data-in' type='checkbox'><label for='data-61eebfc9-6e3a-4386-b6ee-afcb7478ef18' 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-a57791e7-0fa0-4745-a407-dc8efafa0736' class='xr-section-summary-in' type='checkbox'  ><label for='section-a57791e7-0fa0-4745-a407-dc8efafa0736' 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>Fri Jul 22 11:32:44 2022: cdo remapnn,grid1.des regcmensble.nc regcmensble_remap1.nc\n",
       "Thu Jul 21 14:08:02 2022: cdo divc,3 final.nc regcmensble.nc\n",
       "Thu Jul 21 14:06:30 2022: cdo -add miroc5_pr_197001-200512.nc -add mpiesm_pr_197001-200512.nc noresm_pr_197001-200512.nc final.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : 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>2019-09-12T16:23:22Z</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>635194b8-8309-11e9-827b-f04da273f023</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>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_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> 1975-01-01 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 :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</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:                                         Fri Jul 22 11:32:44 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\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": "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([[3.9603128e-05, 4.0292754e-05, 4.1846084e-05, ..., 7.1517825e-05,\n",
       "        6.6991641e-05, 7.0500530e-05],\n",
       "       [3.8418944e-05, 3.9147384e-05, 3.9580678e-05, ..., 7.5560907e-05,\n",
       "        7.3236130e-05, 7.1829920e-05],\n",
       "       [3.6612117e-05, 3.7486705e-05, 3.7657341e-05, ..., 8.5610365e-05,\n",
       "        8.1372018e-05, 8.5974789e-05],\n",
       "       ...,\n",
       "       [1.8407845e-04, 2.0547943e-04, 2.2842888e-04, ..., 2.0595801e-04,\n",
       "        2.1437595e-04, 1.8386221e-04],\n",
       "       [1.8978299e-04, 2.1626672e-04, 2.6339813e-04, ..., 1.8772749e-04,\n",
       "        2.3271758e-04, 2.4781871e-04],\n",
       "       [1.9796759e-04, 3.2225845e-04, 5.0131447e-04, ..., 1.8953896e-04,\n",
       "        2.5643263e-04, 3.0891492e-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-6935ae98-0aad-4dfb-a935-88d32120c00a' class='xr-array-in' type='checkbox' checked><label for='section-6935ae98-0aad-4dfb-a935-88d32120c00a' 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>3.96e-05 4.029e-05 4.185e-05 ... 0.0001895 0.0002564 0.0003089</span></div><div class='xr-array-data'><pre>array([[3.9603128e-05, 4.0292754e-05, 4.1846084e-05, ..., 7.1517825e-05,\n",
       "        6.6991641e-05, 7.0500530e-05],\n",
       "       [3.8418944e-05, 3.9147384e-05, 3.9580678e-05, ..., 7.5560907e-05,\n",
       "        7.3236130e-05, 7.1829920e-05],\n",
       "       [3.6612117e-05, 3.7486705e-05, 3.7657341e-05, ..., 8.5610365e-05,\n",
       "        8.1372018e-05, 8.5974789e-05],\n",
       "       ...,\n",
       "       [1.8407845e-04, 2.0547943e-04, 2.2842888e-04, ..., 2.0595801e-04,\n",
       "        2.1437595e-04, 1.8386221e-04],\n",
       "       [1.8978299e-04, 2.1626672e-04, 2.6339813e-04, ..., 1.8772749e-04,\n",
       "        2.3271758e-04, 2.4781871e-04],\n",
       "       [1.9796759e-04, 3.2225845e-04, 5.0131447e-04, ..., 1.8953896e-04,\n",
       "        2.5643263e-04, 3.0891492e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-16d77a4a-04f0-44c5-b9ba-b50dbe1e87a8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-16d77a4a-04f0-44c5-b9ba-b50dbe1e87a8' 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-9c923dc3-c02b-4626-9ab5-866aedfb3a8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c923dc3-c02b-4626-9ab5-866aedfb3a8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce6f1aec-c0c8-4c54-8f05-ed432892abfd' class='xr-var-data-in' type='checkbox'><label for='data-ce6f1aec-c0c8-4c54-8f05-ed432892abfd' 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-198c6248-6c99-4670-b1dc-9472a6d09509' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-198c6248-6c99-4670-b1dc-9472a6d09509' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6f40499-f2cf-4400-a34c-dc35930d6f5e' class='xr-var-data-in' type='checkbox'><label for='data-e6f40499-f2cf-4400-a34c-dc35930d6f5e' 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-60e293c6-bd1a-4396-9074-25dfc48e5d5d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-60e293c6-bd1a-4396-9074-25dfc48e5d5d' 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([[3.9603128e-05, 4.0292754e-05, 4.1846084e-05, ..., 7.1517825e-05,\n",
       "        6.6991641e-05, 7.0500530e-05],\n",
       "       [3.8418944e-05, 3.9147384e-05, 3.9580678e-05, ..., 7.5560907e-05,\n",
       "        7.3236130e-05, 7.1829920e-05],\n",
       "       [3.6612117e-05, 3.7486705e-05, 3.7657341e-05, ..., 8.5610365e-05,\n",
       "        8.1372018e-05, 8.5974789e-05],\n",
       "       ...,\n",
       "       [1.8407845e-04, 2.0547943e-04, 2.2842888e-04, ..., 2.0595801e-04,\n",
       "        2.1437595e-04, 1.8386221e-04],\n",
       "       [1.8978299e-04, 2.1626672e-04, 2.6339813e-04, ..., 1.8772749e-04,\n",
       "        2.3271758e-04, 2.4781871e-04],\n",
       "       [1.9796759e-04, 3.2225845e-04, 5.0131447e-04, ..., 1.8953896e-04,\n",
       "        2.5643263e-04, 3.0891492e-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": 16,
     "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": 17,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !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([[ 3.42171028,  3.48129398,  3.61550166, ...,  6.17914007,\n",
       "         5.78807776,  6.09124575],\n",
       "       [ 3.31939679,  3.38233399,  3.4197706 , ...,  6.52846238,\n",
       "         6.32760159,  6.20610507],\n",
       "       [ 3.16328688,  3.23885131,  3.25359424, ...,  7.39673555,\n",
       "         7.03054236,  7.42822175],\n",
       "       ...,\n",
       "       [15.90437838, 17.75342287, 19.7362551 , ..., 17.79477247,\n",
       "        18.52208194, 15.88569512],\n",
       "       [16.39725063, 18.68544482, 22.75759885, ..., 16.21965528,\n",
       "        20.1067985 , 21.41153645],\n",
       "       [17.10439953, 27.84313001, 43.31357013, ..., 16.37616595,\n",
       "        22.15577904, 26.69024952]])\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-94b6e141-b717-4350-9b17-bced380ea647' class='xr-array-in' type='checkbox' checked><label for='section-94b6e141-b717-4350-9b17-bced380ea647' 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>3.422 3.481 3.616 3.684 3.765 3.853 ... 23.98 18.73 16.38 22.16 26.69</span></div><div class='xr-array-data'><pre>array([[ 3.42171028,  3.48129398,  3.61550166, ...,  6.17914007,\n",
       "         5.78807776,  6.09124575],\n",
       "       [ 3.31939679,  3.38233399,  3.4197706 , ...,  6.52846238,\n",
       "         6.32760159,  6.20610507],\n",
       "       [ 3.16328688,  3.23885131,  3.25359424, ...,  7.39673555,\n",
       "         7.03054236,  7.42822175],\n",
       "       ...,\n",
       "       [15.90437838, 17.75342287, 19.7362551 , ..., 17.79477247,\n",
       "        18.52208194, 15.88569512],\n",
       "       [16.39725063, 18.68544482, 22.75759885, ..., 16.21965528,\n",
       "        20.1067985 , 21.41153645],\n",
       "       [17.10439953, 27.84313001, 43.31357013, ..., 16.37616595,\n",
       "        22.15577904, 26.69024952]])</pre></div></div></li><li class='xr-section-item'><input id='section-143bc387-7781-4ba6-8c44-debb67e53f7c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-143bc387-7781-4ba6-8c44-debb67e53f7c' 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-a0429f00-d0f5-46c9-9395-4a3d84d3b94b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0429f00-d0f5-46c9-9395-4a3d84d3b94b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c9260c7-3141-433f-bffa-12192bd2ef4c' class='xr-var-data-in' type='checkbox'><label for='data-3c9260c7-3141-433f-bffa-12192bd2ef4c' 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-f73c6f9c-487b-4cb7-bcba-0bd6709023ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f73c6f9c-487b-4cb7-bcba-0bd6709023ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b994607-4e85-4bf8-ae2b-906541119acb' class='xr-var-data-in' type='checkbox'><label for='data-8b994607-4e85-4bf8-ae2b-906541119acb' 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-35913c63-ef42-4615-a48d-c3f0e3f157b2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35913c63-ef42-4615-a48d-c3f0e3f157b2' 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([[ 3.42171028,  3.48129398,  3.61550166, ...,  6.17914007,\n",
       "         5.78807776,  6.09124575],\n",
       "       [ 3.31939679,  3.38233399,  3.4197706 , ...,  6.52846238,\n",
       "         6.32760159,  6.20610507],\n",
       "       [ 3.16328688,  3.23885131,  3.25359424, ...,  7.39673555,\n",
       "         7.03054236,  7.42822175],\n",
       "       ...,\n",
       "       [15.90437838, 17.75342287, 19.7362551 , ..., 17.79477247,\n",
       "        18.52208194, 15.88569512],\n",
       "       [16.39725063, 18.68544482, 22.75759885, ..., 16.21965528,\n",
       "        20.1067985 , 21.41153645],\n",
       "       [17.10439953, 27.84313001, 43.31357013, ..., 16.37616595,\n",
       "        22.15577904, 26.69024952]])\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": [
    "eraint = jjas_mean*86400\n",
    "eraint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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",
       "  --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",
       "       [ 7.71882382,  8.70403775,  8.59618663, ..., 11.08674225,\n",
       "         9.53650868,  2.797784  ],\n",
       "       [ 6.10577534,  8.65831791, 11.5521877 , ..., 10.9862214 ,\n",
       "        12.01920503, 11.98156552],\n",
       "       [ 7.23026376, 18.84200039, 35.69332293, ...,  9.1297516 ,\n",
       "        13.87807049, 17.33106069]])\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-b796f68b-a183-415f-b607-d5d93d19f07d' class='xr-array-in' type='checkbox' checked><label for='section-b796f68b-a183-415f-b607-d5d93d19f07d' 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 ... 34.86 20.57 13.75 9.13 13.88 17.33</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",
       "       [ 7.71882382,  8.70403775,  8.59618663, ..., 11.08674225,\n",
       "         9.53650868,  2.797784  ],\n",
       "       [ 6.10577534,  8.65831791, 11.5521877 , ..., 10.9862214 ,\n",
       "        12.01920503, 11.98156552],\n",
       "       [ 7.23026376, 18.84200039, 35.69332293, ...,  9.1297516 ,\n",
       "        13.87807049, 17.33106069]])</pre></div></div></li><li class='xr-section-item'><input id='section-f36071c4-94d9-4051-ad42-19a888bd31d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f36071c4-94d9-4051-ad42-19a888bd31d8' 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-e5baf8ca-68c6-4f41-a34f-dafe4e0e7f43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5baf8ca-68c6-4f41-a34f-dafe4e0e7f43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bb9e263-1e88-4bc0-a97f-9f50f2f75562' class='xr-var-data-in' type='checkbox'><label for='data-8bb9e263-1e88-4bc0-a97f-9f50f2f75562' 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-43d8bcde-e07c-4e4f-a89f-7913f5dd0b01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43d8bcde-e07c-4e4f-a89f-7913f5dd0b01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce39ccbd-6626-40b7-b291-52897f7507c1' class='xr-var-data-in' type='checkbox'><label for='data-ce39ccbd-6626-40b7-b291-52897f7507c1' 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-6a36da1e-c628-416b-90c2-8ce2f771bf30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a36da1e-c628-416b-90c2-8ce2f771bf30' 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",
       "       [ 7.71882382,  8.70403775,  8.59618663, ..., 11.08674225,\n",
       "         9.53650868,  2.797784  ],\n",
       "       [ 6.10577534,  8.65831791, 11.5521877 , ..., 10.9862214 ,\n",
       "        12.01920503, 11.98156552],\n",
       "       [ 7.23026376, 18.84200039, 35.69332293, ...,  9.1297516 ,\n",
       "        13.87807049, 17.33106069]])\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": [
    "bias = eraint - chirps\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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",
       "       [ 94.29811698,  96.18374764,  77.16457632, ..., 165.27567551,\n",
       "        106.13133306,  21.37685671],\n",
       "       [ 59.32847494,  86.34894111, 103.09472399, ..., 209.923764  ,\n",
       "        148.6128731 , 127.05835062],\n",
       "       [ 73.22426919, 209.32928618, 468.40111563, ..., 125.98991931,\n",
       "        167.65594499, 185.17695307]])\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-c60f61a9-019a-42fb-8cdf-6a40b131b056' class='xr-array-in' type='checkbox' checked><label for='section-c60f61a9-019a-42fb-8cdf-6a40b131b056' 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 ... 1.427e+03 603.5 276.1 126.0 167.7 185.2</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",
       "       [ 94.29811698,  96.18374764,  77.16457632, ..., 165.27567551,\n",
       "        106.13133306,  21.37685671],\n",
       "       [ 59.32847494,  86.34894111, 103.09472399, ..., 209.923764  ,\n",
       "        148.6128731 , 127.05835062],\n",
       "       [ 73.22426919, 209.32928618, 468.40111563, ..., 125.98991931,\n",
       "        167.65594499, 185.17695307]])</pre></div></div></li><li class='xr-section-item'><input id='section-054d18b1-0fac-491a-b284-6e96f6d65507' class='xr-section-summary-in' type='checkbox'  checked><label for='section-054d18b1-0fac-491a-b284-6e96f6d65507' 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-993a20db-9b7e-4a82-94a8-be9f628f1e54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-993a20db-9b7e-4a82-94a8-be9f628f1e54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9621b2e4-0b5c-42d2-9e49-89ee31d2017e' class='xr-var-data-in' type='checkbox'><label for='data-9621b2e4-0b5c-42d2-9e49-89ee31d2017e' 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-fa2af528-90cd-44da-8de2-559cac34e680' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa2af528-90cd-44da-8de2-559cac34e680' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b8927ec-1dac-4baa-bd17-df6062c5c060' class='xr-var-data-in' type='checkbox'><label for='data-6b8927ec-1dac-4baa-bd17-df6062c5c060' 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-d3af6a6d-9408-4376-82d1-01aa62f38b51' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d3af6a6d-9408-4376-82d1-01aa62f38b51' 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",
       "       [ 94.29811698,  96.18374764,  77.16457632, ..., 165.27567551,\n",
       "        106.13133306,  21.37685671],\n",
       "       [ 59.32847494,  86.34894111, 103.09472399, ..., 209.923764  ,\n",
       "        148.6128731 , 127.05835062],\n",
       "       [ 73.22426919, 209.32928618, 468.40111563, ..., 125.98991931,\n",
       "        167.65594499, 185.17695307]])\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_percentage = ((eraint - chirps)/chirps)*100\n",
    "bias_percentage\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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",
    "\n",
    "plt.rcParams['font.size'] = '16'\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 ensemble avg-CHIRPS)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(regcm ensemble avg-chirps).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x972 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",
    "from matplotlib import ticker, cm\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(16,13.5))\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(),\n",
    "                    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 = .04 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(RegCM ensemble avg-CHIRPS)')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(regcm ensemble avg-chirps).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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": 22,
     "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": []
  }
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