Seasonal Bias(Eraint-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"
   ]
  },
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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: 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-a1b5685b-d968-487b-9da5-fb470b0c6f27' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1b5685b-d968-487b-9da5-fb470b0c6f27' 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-0f7070a7-8456-4988-aabf-7aec4633457f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f7070a7-8456-4988-aabf-7aec4633457f' 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-1e57ac2e-faa6-471a-af8f-070753b3a349' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e57ac2e-faa6-471a-af8f-070753b3a349' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-239a23fd-2fa1-41a4-8050-0328b1488bc8' class='xr-var-data-in' type='checkbox'><label for='data-239a23fd-2fa1-41a4-8050-0328b1488bc8' 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-933b8385-7b90-499e-bcd7-2ba04da45011' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-933b8385-7b90-499e-bcd7-2ba04da45011' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28aed91a-54c9-4a25-a156-b687912801d4' class='xr-var-data-in' type='checkbox'><label for='data-28aed91a-54c9-4a25-a156-b687912801d4' 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-d562e089-3180-4333-bef6-1c9b2a880257' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d562e089-3180-4333-bef6-1c9b2a880257' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f05920c0-1879-40bd-973d-872b337df371' class='xr-var-data-in' type='checkbox'><label for='data-f05920c0-1879-40bd-973d-872b337df371' 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-0702a90e-d47e-49e0-89dd-41f6138afbfe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0702a90e-d47e-49e0-89dd-41f6138afbfe' 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-70981cc6-91ee-4b53-8079-d604ab82f268' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70981cc6-91ee-4b53-8079-d604ab82f268' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de593a7d-e7e9-4fd6-8372-4a86da3dbb26' class='xr-var-data-in' type='checkbox'><label for='data-de593a7d-e7e9-4fd6-8372-4a86da3dbb26' 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-eddd4281-2185-4edc-bc51-8799cb69a624' class='xr-section-summary-in' type='checkbox'  ><label for='section-eddd4281-2185-4edc-bc51-8799cb69a624' 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: 419)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
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       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2015-12-01\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</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-1faca8bd-3890-4a75-a16b-bb6e3a568f63' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1faca8bd-3890-4a75-a16b-bb6e3a568f63' 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>: 419</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bfd0f101-826f-4e08-8b39-4d0d9569ad98' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bfd0f101-826f-4e08-8b39-4d0d9569ad98' 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-ba0f680c-01df-48cd-ba88-f5f7805bf0f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba0f680c-01df-48cd-ba88-f5f7805bf0f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c5a52a6-1bd1-42e9-a3f2-5bffa382bab0' class='xr-var-data-in' type='checkbox'><label for='data-9c5a52a6-1bd1-42e9-a3f2-5bffa382bab0' 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-c3a0d67d-5037-44ac-aca1-dbee432c6781' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3a0d67d-5037-44ac-aca1-dbee432c6781' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0004502-1c57-41ce-b27c-fd34df9fdc4a' class='xr-var-data-in' type='checkbox'><label for='data-f0004502-1c57-41ce-b27c-fd34df9fdc4a' 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 ... 2015-12-01</div><input id='attrs-cc708fdb-9710-4887-be73-ab02d6addd8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc708fdb-9710-4887-be73-ab02d6addd8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61fa7de4-5269-4254-b59a-145df88bd7e9' class='xr-var-data-in' type='checkbox'><label for='data-61fa7de4-5269-4254-b59a-145df88bd7e9' 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;2015-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7db5ecfe-aaee-49cf-8b17-2ad63a58f178' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7db5ecfe-aaee-49cf-8b17-2ad63a58f178' 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-01601a05-098a-436e-bb1c-1cdcaded1d88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01601a05-098a-436e-bb1c-1cdcaded1d88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67d6967b-ad8e-4b05-b0d0-b437dd28ee35' class='xr-var-data-in' type='checkbox'><label for='data-67d6967b-ad8e-4b05-b0d0-b437dd28ee35' 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>[6033600000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3feb823c-e892-4919-ac08-7753c406f4af' class='xr-section-summary-in' type='checkbox'  ><label for='section-3feb823c-e892-4919-ac08-7753c406f4af' 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: 419)\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 ... 2015-12-01\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','2015-12-16T00:00:00.000000000'))\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: 140)\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 ... 2015-09-01\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-e2d8fa5b-5e96-40be-a44f-5cdd8e536725' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2d8fa5b-5e96-40be-a44f-5cdd8e536725' 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>: 140</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dc7d02a3-113b-4c4c-b200-6b51d089aad1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc7d02a3-113b-4c4c-b200-6b51d089aad1' 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-e749268c-27ce-468c-8480-402612a1261e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e749268c-27ce-468c-8480-402612a1261e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42b4c742-2840-48a3-98d4-496094b79a0d' class='xr-var-data-in' type='checkbox'><label for='data-42b4c742-2840-48a3-98d4-496094b79a0d' 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-6ca64562-19bc-4419-9139-17afd66571a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ca64562-19bc-4419-9139-17afd66571a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a051fa4a-0e85-4676-980c-a63c482dc9ce' class='xr-var-data-in' type='checkbox'><label for='data-a051fa4a-0e85-4676-980c-a63c482dc9ce' 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 ... 2015-09-01</div><input id='attrs-2aa6e9f7-bc04-4d8c-818c-2a4a8fc11617' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aa6e9f7-bc04-4d8c-818c-2a4a8fc11617' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d92678f-01ef-4293-8934-e74f045828b2' class='xr-var-data-in' type='checkbox'><label for='data-6d92678f-01ef-4293-8934-e74f045828b2' 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",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-01T00:00:00.000000000&#x27;, &#x27;2009-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-01T00:00:00.000000000&#x27;, &#x27;2009-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-01T00:00:00.000000000&#x27;, &#x27;2010-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-01T00:00:00.000000000&#x27;, &#x27;2010-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-01T00:00:00.000000000&#x27;, &#x27;2011-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-01T00:00:00.000000000&#x27;, &#x27;2011-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-01T00:00:00.000000000&#x27;, &#x27;2012-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-01T00:00:00.000000000&#x27;, &#x27;2012-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-01T00:00:00.000000000&#x27;, &#x27;2013-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-01T00:00:00.000000000&#x27;, &#x27;2013-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-01T00:00:00.000000000&#x27;, &#x27;2014-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-01T00:00:00.000000000&#x27;, &#x27;2014-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-01T00:00:00.000000000&#x27;, &#x27;2015-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b404f158-4c06-4776-938d-864b8b090f72' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b404f158-4c06-4776-938d-864b8b090f72' 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-fb9f1497-6c6b-4854-b79c-ee21358dfb3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb9f1497-6c6b-4854-b79c-ee21358dfb3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b02c1c61-4c46-4a49-aa1a-29a2194cef69' class='xr-var-data-in' type='checkbox'><label for='data-b02c1c61-4c46-4a49-aa1a-29a2194cef69' 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>[2016000000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2cff76b-6c4e-4bd7-92a6-8a93dacd518a' class='xr-section-summary-in' type='checkbox'  ><label for='section-c2cff76b-6c4e-4bd7-92a6-8a93dacd518a' 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: 140)\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 ... 2015-09-01\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: 140)\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 ... 2015-09-01\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-d2656515-71c9-48eb-9af3-051ccd56d535' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d2656515-71c9-48eb-9af3-051ccd56d535' 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>: 140</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-24b09318-ecff-41a5-95b4-4f2cea561bd3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-24b09318-ecff-41a5-95b4-4f2cea561bd3' 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-e5fd26d3-e16e-4a7e-8010-b29ee057939e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5fd26d3-e16e-4a7e-8010-b29ee057939e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9e09a09-215a-49f4-b377-3ba422b50f8c' class='xr-var-data-in' type='checkbox'><label for='data-a9e09a09-215a-49f4-b377-3ba422b50f8c' 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-e208c161-9aeb-4d1b-9d71-8ffe8f67c574' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e208c161-9aeb-4d1b-9d71-8ffe8f67c574' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e9a038f-8431-4713-9ff9-563e6dcafb4f' class='xr-var-data-in' type='checkbox'><label for='data-1e9a038f-8431-4713-9ff9-563e6dcafb4f' 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 ... 2015-09-01</div><input id='attrs-4454983b-cb77-49af-b1c9-a31f8544be86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4454983b-cb77-49af-b1c9-a31f8544be86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a057ff14-61b2-4411-9cd1-2e053f281e90' class='xr-var-data-in' type='checkbox'><label for='data-a057ff14-61b2-4411-9cd1-2e053f281e90' 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",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-01T00:00:00.000000000&#x27;, &#x27;2009-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-01T00:00:00.000000000&#x27;, &#x27;2009-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-01T00:00:00.000000000&#x27;, &#x27;2010-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-01T00:00:00.000000000&#x27;, &#x27;2010-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-01T00:00:00.000000000&#x27;, &#x27;2011-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-01T00:00:00.000000000&#x27;, &#x27;2011-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-01T00:00:00.000000000&#x27;, &#x27;2012-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-01T00:00:00.000000000&#x27;, &#x27;2012-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-01T00:00:00.000000000&#x27;, &#x27;2013-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-01T00:00:00.000000000&#x27;, &#x27;2013-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-01T00:00:00.000000000&#x27;, &#x27;2014-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-01T00:00:00.000000000&#x27;, &#x27;2014-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-01T00:00:00.000000000&#x27;, &#x27;2015-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-65bbdca9-2b9e-4725-8499-9186d6994df6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-65bbdca9-2b9e-4725-8499-9186d6994df6' 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-5bf9a9aa-7aba-40a2-b8a9-56bc656287f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bf9a9aa-7aba-40a2-b8a9-56bc656287f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48d5b99d-f38a-4212-9219-a3ca4b479abf' class='xr-var-data-in' type='checkbox'><label for='data-48d5b99d-f38a-4212-9219-a3ca4b479abf' 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>[4480000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb9d470b-7273-4375-86b4-47b089d8c2c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb9d470b-7273-4375-86b4-47b089d8c2c6' 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: 200, longitude: 160, time: 140)\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 ... 2015-09-01\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": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 140, latitude: 40, longitude: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-09-01\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 ... 254.6 238.0\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-d84a2eaa-71c5-4762-a711-d65bc3fa60de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d84a2eaa-71c5-4762-a711-d65bc3fa60de' 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>: 140</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-e1499460-7358-4778-9253-29ab2e091a95' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e1499460-7358-4778-9253-29ab2e091a95' 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 ... 2015-09-01</div><input id='attrs-bc67c831-acb4-4c2c-a721-7c6598d124ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc67c831-acb4-4c2c-a721-7c6598d124ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-def2dbc2-f1ce-443a-9656-2e16632afb1d' class='xr-var-data-in' type='checkbox'><label for='data-def2dbc2-f1ce-443a-9656-2e16632afb1d' 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",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-01T00:00:00.000000000&#x27;, &#x27;2009-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-01T00:00:00.000000000&#x27;, &#x27;2009-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-01T00:00:00.000000000&#x27;, &#x27;2010-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-01T00:00:00.000000000&#x27;, &#x27;2010-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-01T00:00:00.000000000&#x27;, &#x27;2011-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-01T00:00:00.000000000&#x27;, &#x27;2011-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-01T00:00:00.000000000&#x27;, &#x27;2012-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-01T00:00:00.000000000&#x27;, &#x27;2012-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-01T00:00:00.000000000&#x27;, &#x27;2013-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-01T00:00:00.000000000&#x27;, &#x27;2013-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-01T00:00:00.000000000&#x27;, &#x27;2014-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-01T00:00:00.000000000&#x27;, &#x27;2014-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-01T00:00:00.000000000&#x27;, &#x27;2015-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#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-441e219f-63a2-4944-b0ef-c0c95eb1ed86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-441e219f-63a2-4944-b0ef-c0c95eb1ed86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f135b622-eabf-46d6-90f8-a3c63ff82e14' class='xr-var-data-in' type='checkbox'><label for='data-f135b622-eabf-46d6-90f8-a3c63ff82e14' 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-13b0ece2-90cf-4d2f-bc80-9b997e45f748' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13b0ece2-90cf-4d2f-bc80-9b997e45f748' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e68f3b20-ab5f-4365-a336-e37a3729e588' class='xr-var-data-in' type='checkbox'><label for='data-e68f3b20-ab5f-4365-a336-e37a3729e588' 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-904456bf-bbb6-4345-bf8e-64f344a2fe66' class='xr-section-summary-in' type='checkbox'  checked><label for='section-904456bf-bbb6-4345-bf8e-64f344a2fe66' 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 ... 215.9 254.6 238.0</div><input id='attrs-25fdf714-841a-4e06-b9a3-c33b9a39fb96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25fdf714-841a-4e06-b9a3-c33b9a39fb96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f18f3fe9-03ff-45f6-9c20-4b8df70c3f54' class='xr-var-data-in' type='checkbox'><label for='data-f18f3fe9-03ff-45f6-9c20-4b8df70c3f54' 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",
       "        [416.73635836, 401.2893674 , 431.40673845, ..., 214.02473453,\n",
       "         278.98816023, 373.55493147],\n",
       "        [404.02478016, 378.64111361, 333.50247277, ..., 159.37748666,\n",
       "         247.5043939 , 329.48461846],\n",
       "        [325.11855984, 281.99536132, 243.15426646, ..., 299.69342044,\n",
       "         328.16845681, 385.82830865]],\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",
       "        [102.48397826, 127.99024204, 150.3230591 , ..., 200.94796754,\n",
       "         222.64015232, 262.09933547],\n",
       "        [127.62664041, 139.02453604, 166.60394321, ..., 215.76940916,\n",
       "         234.5079652 , 240.36129761],\n",
       "        [133.34976269, 109.75736993,  89.57685844, ..., 215.87718232,\n",
       "         254.60540785, 238.03610221]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6db9612-82ad-4148-a27c-97106c18393a' class='xr-section-summary-in' type='checkbox'  ><label for='section-e6db9612-82ad-4148-a27c-97106c18393a' 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: 140, latitude: 40, longitude: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-09-01\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 ... 254.6 238.0\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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       "</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",
       "       [255.17230723, 279.44478534, 338.26923079, ..., 207.88555484,\n",
       "        276.23539143, 401.29090659],\n",
       "       [317.39027615, 305.28187857, 336.54722092, ..., 159.90883966,\n",
       "        247.96094931, 292.20547331],\n",
       "       [298.51422703, 270.26220972, 227.30599028, ..., 223.05912097,\n",
       "        253.4668472 , 287.478251  ]])\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-9fbe7145-1acc-4b6a-a4d6-a43ccdf7a5bd' class='xr-array-in' type='checkbox' checked><label for='section-9fbe7145-1acc-4b6a-a4d6-a43ccdf7a5bd' 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 ... 73.5 103.2 152.8 223.1 253.5 287.5</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",
       "       [255.17230723, 279.44478534, 338.26923079, ..., 207.88555484,\n",
       "        276.23539143, 401.29090659],\n",
       "       [317.39027615, 305.28187857, 336.54722092, ..., 159.90883966,\n",
       "        247.96094931, 292.20547331],\n",
       "       [298.51422703, 270.26220972, 227.30599028, ..., 223.05912097,\n",
       "        253.4668472 , 287.478251  ]])</pre></div></div></li><li class='xr-section-item'><input id='section-6e5e7be3-6060-414f-8716-fef23d924d8d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e5e7be3-6060-414f-8716-fef23d924d8d' 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-eaa4c240-6845-4f38-93b5-5c170449768e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eaa4c240-6845-4f38-93b5-5c170449768e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a03ee4e-edc0-4f78-a060-2d0f5819a430' class='xr-var-data-in' type='checkbox'><label for='data-1a03ee4e-edc0-4f78-a060-2d0f5819a430' 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-3484cdf6-869a-4170-b6d8-d15e723b0866' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3484cdf6-869a-4170-b6d8-d15e723b0866' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56a77605-9748-409e-8cf4-9d1a6a052848' class='xr-var-data-in' type='checkbox'><label for='data-56a77605-9748-409e-8cf4-9d1a6a052848' 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-de1e90b2-203a-4df2-8fcd-a6ca86b4d0ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de1e90b2-203a-4df2-8fcd-a6ca86b4d0ce' 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",
       "       [255.17230723, 279.44478534, 338.26923079, ..., 207.88555484,\n",
       "        276.23539143, 401.29090659],\n",
       "       [317.39027615, 305.28187857, 336.54722092, ..., 159.90883966,\n",
       "        247.96094931, 292.20547331],\n",
       "       [298.51422703, 270.26220972, 227.30599028, ..., 223.05912097,\n",
       "        253.4668472 , 287.478251  ]])\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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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 467, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\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) datetime64[ns] 1979-01-01 1979-02-01 ... 2017-12-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 10:46:43 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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-4cc219a7-aaa3-4f44-88b9-8eabf1674d9f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4cc219a7-aaa3-4f44-88b9-8eabf1674d9f' 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>: 467</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-b48d0ff7-a945-4405-9012-550379745edd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b48d0ff7-a945-4405-9012-550379745edd' 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'>1979-01-16T12:00:00 ... 2017-11-16</div><input id='attrs-048182e7-08df-4cef-9196-358f2348186b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-048182e7-08df-4cef-9196-358f2348186b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2c030ee-2c5f-435c-8600-f32a42ed6bd3' class='xr-var-data-in' type='checkbox'><label for='data-d2c030ee-2c5f-435c-8600-f32a42ed6bd3' 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([&#x27;1979-01-16T12:00:00.000000000&#x27;, &#x27;1979-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-16T12:00:00.000000000&#x27;, ..., &#x27;2017-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-16T12:00:00.000000000&#x27;, &#x27;2017-11-16T00:00:00.000000000&#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-08688f10-fc5d-43eb-bdde-b51f92e8553e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08688f10-fc5d-43eb-bdde-b51f92e8553e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c82d29e8-ed4e-477a-bfcf-a77a9a8de836' class='xr-var-data-in' type='checkbox'><label for='data-c82d29e8-ed4e-477a-bfcf-a77a9a8de836' 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-1251a0f5-8d37-48be-b4b6-14fd21513595' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1251a0f5-8d37-48be-b4b6-14fd21513595' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fce005b4-873b-49ee-9992-21035c0d2841' class='xr-var-data-in' type='checkbox'><label for='data-fce005b4-873b-49ee-9992-21035c0d2841' 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-601e346f-8aba-4c10-a20c-d6e4f5ba32dd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-601e346f-8aba-4c10-a20c-d6e4f5ba32dd' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c69e1f77-f61c-4a58-96de-c13c70de6830' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c69e1f77-f61c-4a58-96de-c13c70de6830' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-807a7199-1aef-4b18-9afa-3827efde7a7c' class='xr-var-data-in' type='checkbox'><label for='data-807a7199-1aef-4b18-9afa-3827efde7a7c' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-02-01T00:00:00.000000000&#x27;, &#x27;1979-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-03-01T00:00:00.000000000&#x27;, &#x27;1979-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2017-09-01T00:00:00.000000000&#x27;, &#x27;2017-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-10-01T00:00:00.000000000&#x27;, &#x27;2017-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-11-01T00:00:00.000000000&#x27;, &#x27;2017-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-49a88fd3-05f2-4acf-a359-7cc5ea33f9bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49a88fd3-05f2-4acf-a359-7cc5ea33f9bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48d97b4a-e9f8-42ce-aa13-d56b392dd7cb' class='xr-var-data-in' type='checkbox'><label for='data-48d97b4a-e9f8-42ce-aa13-d56b392dd7cb' 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>[597760 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c06e9a6-59cc-4104-8a5b-19c67742ef4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-6c06e9a6-59cc-4104-8a5b-19c67742ef4e' 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>Wed Jul 20 10:46:43 2022: cdo remapnn,grid1.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 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>2019-09-12T15:13:03Z</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>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</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>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</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> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 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>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</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: 467, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\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) datetime64[ns] ...\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 10:46:43 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening eraint data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/Era_intrim/pr_was-22-ecmwf_197901-201711_remap.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 419, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2015-11-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
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       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 10:46:43 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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-1d88c99d-40e8-45c0-894a-798204e7efcb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d88c99d-40e8-45c0-894a-798204e7efcb' 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>: 419</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-afe048f4-1e1f-402c-bce1-48b4894d9f5c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-afe048f4-1e1f-402c-bce1-48b4894d9f5c' 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 ... 2015-11-16</div><input id='attrs-9bce3960-8620-444b-a727-dc2515be902d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bce3960-8620-444b-a727-dc2515be902d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-825ee9fb-46c8-4ef3-8f94-0e4feb7fc32b' class='xr-var-data-in' type='checkbox'><label for='data-825ee9fb-46c8-4ef3-8f94-0e4feb7fc32b' 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([&#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;2015-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-10-16T12:00:00.000000000&#x27;, &#x27;2015-11-16T00:00:00.000000000&#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-0e8070dc-da78-4949-b031-19fa5a9b8901' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e8070dc-da78-4949-b031-19fa5a9b8901' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c98927e-96cf-4ac4-931c-40ce85b03ceb' class='xr-var-data-in' type='checkbox'><label for='data-5c98927e-96cf-4ac4-931c-40ce85b03ceb' 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-3f867bab-3356-4437-8c83-fd3dad2af124' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f867bab-3356-4437-8c83-fd3dad2af124' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9991773-8db6-46de-af7e-e35b358867e7' class='xr-var-data-in' type='checkbox'><label for='data-d9991773-8db6-46de-af7e-e35b358867e7' 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-729a698b-c743-462d-81e8-762840bc9298' class='xr-section-summary-in' type='checkbox'  checked><label for='section-729a698b-c743-462d-81e8-762840bc9298' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2015-12-01</div><input id='attrs-9f256b7d-da7f-442b-9075-4431a62ad30c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f256b7d-da7f-442b-9075-4431a62ad30c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-789730b3-8c39-4adb-85e8-dfb0cadc0957' class='xr-var-data-in' type='checkbox'><label for='data-789730b3-8c39-4adb-85e8-dfb0cadc0957' 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;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-03-01T00:00:00.000000000&#x27;, &#x27;1981-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-10-01T00:00:00.000000000&#x27;, &#x27;2015-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-c72d167f-6584-4ae3-9515-36aea738ab79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c72d167f-6584-4ae3-9515-36aea738ab79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e04846f-7084-4f45-a861-5ac62b4bf6f2' class='xr-var-data-in' type='checkbox'><label for='data-6e04846f-7084-4f45-a861-5ac62b4bf6f2' 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>[536320 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ddbaf751-9fa3-4c1d-8805-97542bad2a5a' class='xr-section-summary-in' type='checkbox'  ><label for='section-ddbaf751-9fa3-4c1d-8805-97542bad2a5a' 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>Wed Jul 20 10:46:43 2022: cdo remapnn,grid1.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 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>2019-09-12T15:13:03Z</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>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</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>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</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> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 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>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</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: 419, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2015-11-16\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) datetime64[ns] 1981-01-01 1981-02-01 ... 2015-12-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 10:46:43 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 12,
     "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','2015-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 140, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2015-09-16\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) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-10-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 10:46:43 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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-c5636b47-2805-4d2a-9ede-5044bf02064f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c5636b47-2805-4d2a-9ede-5044bf02064f' 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>: 140</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-79bbad92-fa50-44f1-adac-122bb7ead8f9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-79bbad92-fa50-44f1-adac-122bb7ead8f9' 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 ... 2015-09-16</div><input id='attrs-6e96d236-4828-434d-9b95-f09d70ed0f9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e96d236-4828-434d-9b95-f09d70ed0f9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-956ade9f-9e0d-4db1-b825-a0de00a01be3' class='xr-var-data-in' type='checkbox'><label for='data-956ade9f-9e0d-4db1-b825-a0de00a01be3' 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([&#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",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T12:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T12:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T12:00:00.000000000&#x27;, &#x27;2015-09-16T00:00:00.000000000&#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-4b7b3684-bf85-42b4-804b-a41bfa895818' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b7b3684-bf85-42b4-804b-a41bfa895818' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fd8c9af-9012-4bf8-9dc9-46c9db772a22' class='xr-var-data-in' type='checkbox'><label for='data-0fd8c9af-9012-4bf8-9dc9-46c9db772a22' 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-1295ed31-61a8-460f-955a-417d60614fcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1295ed31-61a8-460f-955a-417d60614fcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca34d0b3-69e4-46cd-9cc2-4ae9b61ca742' class='xr-var-data-in' type='checkbox'><label for='data-ca34d0b3-69e4-46cd-9cc2-4ae9b61ca742' 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-73e9a362-fad0-446b-8082-8880cbc34b91' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73e9a362-fad0-446b-8082-8880cbc34b91' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2015-10-01</div><input id='attrs-7ce3b318-71b2-4eec-801f-e646c54626cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ce3b318-71b2-4eec-801f-e646c54626cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dabab7a-67f0-40e9-bbe3-12326739b646' class='xr-var-data-in' type='checkbox'><label for='data-5dabab7a-67f0-40e9-bbe3-12326739b646' 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;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-07-01T00:00:00.000000000&#x27;, &#x27;1981-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-07-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-94151026-8d4a-4581-b63a-aac631d45538' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94151026-8d4a-4581-b63a-aac631d45538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-025a5d8b-8b75-4e12-a18a-b6fa85706e44' class='xr-var-data-in' type='checkbox'><label for='data-025a5d8b-8b75-4e12-a18a-b6fa85706e44' 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>[179200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36708c67-0026-4b27-96c8-a92ded834af3' class='xr-section-summary-in' type='checkbox'  ><label for='section-36708c67-0026-4b27-96c8-a92ded834af3' 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>Wed Jul 20 10:46:43 2022: cdo remapnn,grid1.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 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>2019-09-12T15:13:03Z</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>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</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>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</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> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 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>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</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: 140, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2015-09-16\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) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-10-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 10:46:43 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 13,
     "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": 14,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [
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       ".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: 140, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2015-09-16\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) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-10-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 10:46:43 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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-e5fb1a89-efd3-438c-86f5-0b0288089bd3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e5fb1a89-efd3-438c-86f5-0b0288089bd3' 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>: 140</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-23e7d342-fce6-4e30-87a9-76730d9b5866' class='xr-section-summary-in' type='checkbox'  checked><label for='section-23e7d342-fce6-4e30-87a9-76730d9b5866' 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 ... 2015-09-16</div><input id='attrs-283d10a7-f83c-4163-bcc6-836735e1c636' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-283d10a7-f83c-4163-bcc6-836735e1c636' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0111d9d8-a379-4a75-a8df-836eae024b3d' class='xr-var-data-in' type='checkbox'><label for='data-0111d9d8-a379-4a75-a8df-836eae024b3d' 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([&#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",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T12:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T12:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T12:00:00.000000000&#x27;, &#x27;2015-09-16T00:00:00.000000000&#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-4adfb9f5-2577-4666-a047-19e3a086e116' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4adfb9f5-2577-4666-a047-19e3a086e116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21fe695e-09e3-4bb4-a612-c456a35556dc' class='xr-var-data-in' type='checkbox'><label for='data-21fe695e-09e3-4bb4-a612-c456a35556dc' 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-a5b187b3-9254-4e45-b32b-09c6a9596b5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5b187b3-9254-4e45-b32b-09c6a9596b5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96c6aff1-a4ef-43db-8f30-d70789065045' class='xr-var-data-in' type='checkbox'><label for='data-96c6aff1-a4ef-43db-8f30-d70789065045' 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-1b25311f-80e1-49a6-a6a7-fe4f3a6e807a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b25311f-80e1-49a6-a6a7-fe4f3a6e807a' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2015-10-01</div><input id='attrs-d1aa91e0-e781-44e3-9172-358ed5292caf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1aa91e0-e781-44e3-9172-358ed5292caf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-648fece0-da72-48c5-b933-1e00b0a862a8' class='xr-var-data-in' type='checkbox'><label for='data-648fece0-da72-48c5-b933-1e00b0a862a8' 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;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-07-01T00:00:00.000000000&#x27;, &#x27;1981-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-07-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-7d1fbed8-87ac-40e1-bbb4-1021ba595617' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d1fbed8-87ac-40e1-bbb4-1021ba595617' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a58c777-12e6-4b00-83fe-d64b7bc68fc0' class='xr-var-data-in' type='checkbox'><label for='data-7a58c777-12e6-4b00-83fe-d64b7bc68fc0' 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>[179200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c33e98fa-a843-4489-873d-a44edcf8497b' class='xr-section-summary-in' type='checkbox'  ><label for='section-c33e98fa-a843-4489-873d-a44edcf8497b' 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>Wed Jul 20 10:46:43 2022: cdo remapnn,grid1.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 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>2019-09-12T15:13:03Z</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>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</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>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</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> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 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>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</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: 140, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2015-09-16\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) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-10-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 10:46:43 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 15,
     "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": 16,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-array-in:checked ~ .xr-array-data,\n",
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       "\n",
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       "\n",
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       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
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       "\n",
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       "\n",
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       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       "  display: none;\n",
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       "\n",
       ".xr-var-data > table {\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
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       "\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "\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",
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       "\n",
       ".xr-attrs dd {\n",
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       "  white-space: pre-wrap;\n",
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       "}\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([[9.38161538e-05, 9.78686148e-05, 1.02379185e-04, ...,\n",
       "        1.29697612e-04, 1.41800090e-04, 1.67867591e-04],\n",
       "       [8.32291771e-05, 8.84977344e-05, 9.26317007e-05, ...,\n",
       "        1.30254601e-04, 1.46988954e-04, 1.63539080e-04],\n",
       "       [7.47940649e-05, 7.95030865e-05, 8.42977170e-05, ...,\n",
       "        1.31012566e-04, 1.56441878e-04, 1.76820467e-04],\n",
       "       ...,\n",
       "       [2.42625785e-04, 3.00330255e-04, 3.55353463e-04, ...,\n",
       "        2.42249822e-04, 2.39482979e-04, 1.75896639e-04],\n",
       "       [2.18096742e-04, 2.60949571e-04, 3.84435843e-04, ...,\n",
       "        1.88273552e-04, 2.70643970e-04, 2.67411553e-04],\n",
       "       [1.83395139e-04, 3.61133221e-04, 9.19390470e-04, ...,\n",
       "        1.71889536e-04, 2.75563652e-04, 3.50650196e-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-54d89e1b-f080-4128-8de7-e861de66218c' class='xr-array-in' type='checkbox' checked><label for='section-54d89e1b-f080-4128-8de7-e861de66218c' 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>9.382e-05 9.787e-05 0.0001024 ... 0.0001719 0.0002756 0.0003507</span></div><div class='xr-array-data'><pre>array([[9.38161538e-05, 9.78686148e-05, 1.02379185e-04, ...,\n",
       "        1.29697612e-04, 1.41800090e-04, 1.67867591e-04],\n",
       "       [8.32291771e-05, 8.84977344e-05, 9.26317007e-05, ...,\n",
       "        1.30254601e-04, 1.46988954e-04, 1.63539080e-04],\n",
       "       [7.47940649e-05, 7.95030865e-05, 8.42977170e-05, ...,\n",
       "        1.31012566e-04, 1.56441878e-04, 1.76820467e-04],\n",
       "       ...,\n",
       "       [2.42625785e-04, 3.00330255e-04, 3.55353463e-04, ...,\n",
       "        2.42249822e-04, 2.39482979e-04, 1.75896639e-04],\n",
       "       [2.18096742e-04, 2.60949571e-04, 3.84435843e-04, ...,\n",
       "        1.88273552e-04, 2.70643970e-04, 2.67411553e-04],\n",
       "       [1.83395139e-04, 3.61133221e-04, 9.19390470e-04, ...,\n",
       "        1.71889536e-04, 2.75563652e-04, 3.50650196e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2ff7a6bb-de09-4560-af0f-5cb38d5ab4b7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2ff7a6bb-de09-4560-af0f-5cb38d5ab4b7' 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-2b679f69-3f30-4f60-ba77-9a5754e88511' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b679f69-3f30-4f60-ba77-9a5754e88511' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c4e8407-4622-486e-8dae-bd4eeb16e87e' class='xr-var-data-in' type='checkbox'><label for='data-2c4e8407-4622-486e-8dae-bd4eeb16e87e' 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-faf90c07-4617-4c03-acd1-c42ba34ce9a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faf90c07-4617-4c03-acd1-c42ba34ce9a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-913c44ca-ca5c-4242-ac22-81151917278d' class='xr-var-data-in' type='checkbox'><label for='data-913c44ca-ca5c-4242-ac22-81151917278d' 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-817d0ee6-c5bf-4559-8b46-4e63eac9d110' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-817d0ee6-c5bf-4559-8b46-4e63eac9d110' 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([[9.38161538e-05, 9.78686148e-05, 1.02379185e-04, ...,\n",
       "        1.29697612e-04, 1.41800090e-04, 1.67867591e-04],\n",
       "       [8.32291771e-05, 8.84977344e-05, 9.26317007e-05, ...,\n",
       "        1.30254601e-04, 1.46988954e-04, 1.63539080e-04],\n",
       "       [7.47940649e-05, 7.95030865e-05, 8.42977170e-05, ...,\n",
       "        1.31012566e-04, 1.56441878e-04, 1.76820467e-04],\n",
       "       ...,\n",
       "       [2.42625785e-04, 3.00330255e-04, 3.55353463e-04, ...,\n",
       "        2.42249822e-04, 2.39482979e-04, 1.75896639e-04],\n",
       "       [2.18096742e-04, 2.60949571e-04, 3.84435843e-04, ...,\n",
       "        1.88273552e-04, 2.70643970e-04, 2.67411553e-04],\n",
       "       [1.83395139e-04, 3.61133221e-04, 9.19390470e-04, ...,\n",
       "        1.71889536e-04, 2.75563652e-04, 3.50650196e-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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       "\n",
       ".xr-attrs dt,\n",
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       "}\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",
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       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  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([[ 8.10571569,  8.45584832,  8.84556156, ..., 11.20587364,\n",
       "        12.25152779, 14.50375984],\n",
       "       [ 7.1910009 ,  7.64620425,  8.00337894, ..., 11.2539975 ,\n",
       "        12.69984562, 14.12977651],\n",
       "       [ 6.4622072 ,  6.86906667,  7.28332275, ..., 11.31948573,\n",
       "        13.51657826, 15.27728839],\n",
       "       ...,\n",
       "       [20.96286784, 25.94853407, 30.70253916, ..., 20.93038461,\n",
       "        20.69132938, 15.19746962],\n",
       "       [18.84355852, 22.54604297, 33.21525687, ..., 16.26683492,\n",
       "        23.38363901, 23.10435819],\n",
       "       [15.84534002, 31.20191032, 79.43533659, ..., 14.85125595,\n",
       "        23.80869957, 30.29617695]])\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-0f405946-524f-431d-959e-cad92b36e729' class='xr-array-in' type='checkbox' checked><label for='section-0f405946-524f-431d-959e-cad92b36e729' 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>8.106 8.456 8.846 8.967 8.984 9.106 ... 30.25 19.3 14.85 23.81 30.3</span></div><div class='xr-array-data'><pre>array([[ 8.10571569,  8.45584832,  8.84556156, ..., 11.20587364,\n",
       "        12.25152779, 14.50375984],\n",
       "       [ 7.1910009 ,  7.64620425,  8.00337894, ..., 11.2539975 ,\n",
       "        12.69984562, 14.12977651],\n",
       "       [ 6.4622072 ,  6.86906667,  7.28332275, ..., 11.31948573,\n",
       "        13.51657826, 15.27728839],\n",
       "       ...,\n",
       "       [20.96286784, 25.94853407, 30.70253916, ..., 20.93038461,\n",
       "        20.69132938, 15.19746962],\n",
       "       [18.84355852, 22.54604297, 33.21525687, ..., 16.26683492,\n",
       "        23.38363901, 23.10435819],\n",
       "       [15.84534002, 31.20191032, 79.43533659, ..., 14.85125595,\n",
       "        23.80869957, 30.29617695]])</pre></div></div></li><li class='xr-section-item'><input id='section-14ff084c-d0f8-481a-b20e-e107ba4f432e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-14ff084c-d0f8-481a-b20e-e107ba4f432e' 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-b8c0f489-8551-4158-8aff-891abc963a54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8c0f489-8551-4158-8aff-891abc963a54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29da0e42-1698-4a8d-afdf-f7873a3ae665' class='xr-var-data-in' type='checkbox'><label for='data-29da0e42-1698-4a8d-afdf-f7873a3ae665' 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-4a0d4ee4-4525-4f87-8c78-412e6cd37d6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a0d4ee4-4525-4f87-8c78-412e6cd37d6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a33bde51-f42d-411d-83ab-c5bde5b40f0d' class='xr-var-data-in' type='checkbox'><label for='data-a33bde51-f42d-411d-83ab-c5bde5b40f0d' 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-229629fd-63b2-4ad4-a753-4d07d5bc1071' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-229629fd-63b2-4ad4-a753-4d07d5bc1071' 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([[ 8.10571569,  8.45584832,  8.84556156, ..., 11.20587364,\n",
       "        12.25152779, 14.50375984],\n",
       "       [ 7.1910009 ,  7.64620425,  8.00337894, ..., 11.2539975 ,\n",
       "        12.69984562, 14.12977651],\n",
       "       [ 6.4622072 ,  6.86906667,  7.28332275, ..., 11.31948573,\n",
       "        13.51657826, 15.27728839],\n",
       "       ...,\n",
       "       [20.96286784, 25.94853407, 30.70253916, ..., 20.93038461,\n",
       "        20.69132938, 15.19746962],\n",
       "       [18.84355852, 22.54604297, 33.21525687, ..., 16.26683492,\n",
       "        23.38363901, 23.10435819],\n",
       "       [15.84534002, 31.20191032, 79.43533659, ..., 14.85125595,\n",
       "        23.80869957, 30.29617695]])\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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       "\n",
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       "\n",
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       ".xr-var-data,\n",
       ".xr-attrs {\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
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       "  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",
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       "  height: 1.5em !important;\n",
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       "  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",
       "       [12.57365049, 16.76131832, 19.58137116, ..., 14.09579852,\n",
       "        11.60962783,  2.00435838],\n",
       "       [ 8.40882115, 12.50938947, 22.15070283, ..., 11.00956376,\n",
       "        15.23150714, 13.49761343],\n",
       "       [ 6.03118441, 22.31658714, 71.96227113, ...,  7.51781343,\n",
       "        15.47555208, 20.84484755]])\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-5cc3ebb5-a8bf-4913-b55f-2e4a940c859e' class='xr-array-in' type='checkbox' checked><label for='section-5cc3ebb5-a8bf-4913-b55f-2e4a940c859e' 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 ... 59.04 26.86 14.28 7.518 15.48 20.84</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",
       "       [12.57365049, 16.76131832, 19.58137116, ..., 14.09579852,\n",
       "        11.60962783,  2.00435838],\n",
       "       [ 8.40882115, 12.50938947, 22.15070283, ..., 11.00956376,\n",
       "        15.23150714, 13.49761343],\n",
       "       [ 6.03118441, 22.31658714, 71.96227113, ...,  7.51781343,\n",
       "        15.47555208, 20.84484755]])</pre></div></div></li><li class='xr-section-item'><input id='section-cd0013e8-c55d-4610-8ab6-1e21b4de3b61' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd0013e8-c55d-4610-8ab6-1e21b4de3b61' 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-e97d1ef3-6b00-4e6f-85fb-d566ca5f88c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e97d1ef3-6b00-4e6f-85fb-d566ca5f88c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eecc32ee-1d2a-419a-b4ba-8eca30ccd7cd' class='xr-var-data-in' type='checkbox'><label for='data-eecc32ee-1d2a-419a-b4ba-8eca30ccd7cd' 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-3d8460fa-c20e-4598-8558-daf43e580eb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d8460fa-c20e-4598-8558-daf43e580eb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c4c926f-c82d-4a8c-81b3-59f98165bcd6' class='xr-var-data-in' type='checkbox'><label for='data-3c4c926f-c82d-4a8c-81b3-59f98165bcd6' 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-a59fa408-942d-420f-b38f-2e0b0464a054' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a59fa408-942d-420f-b38f-2e0b0464a054' 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",
       "       [12.57365049, 16.76131832, 19.58137116, ..., 14.09579852,\n",
       "        11.60962783,  2.00435838],\n",
       "       [ 8.40882115, 12.50938947, 22.15070283, ..., 11.00956376,\n",
       "        15.23150714, 13.49761343],\n",
       "       [ 6.03118441, 22.31658714, 71.96227113, ...,  7.51781343,\n",
       "        15.47555208, 20.84484755]])\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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       "\n",
       ".xr-attrs dt,\n",
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       "\n",
       ".xr-attrs dt {\n",
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       "  grid-column: 1;\n",
       "}\n",
       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "  vertical-align: middle;\n",
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       "  fill: currentColor;\n",
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       "</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",
       "       [149.87870711, 182.44176223, 176.07297321, ..., 206.24216777,\n",
       "        127.83538167,  15.19246178],\n",
       "       [ 80.58488543, 124.6370562 , 200.19517053, ..., 209.41593901,\n",
       "        186.84078464, 140.50142649],\n",
       "       [ 61.45393093, 251.16235697, 962.95518188, ..., 102.51411143,\n",
       "        185.71076657, 220.54937104]])\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-797ac4a8-45b8-4140-82b0-57715792d057' class='xr-array-in' type='checkbox' checked><label for='section-797ac4a8-45b8-4140-82b0-57715792d057' 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 ... 2.443e+03 791.4 284.3 102.5 185.7 220.5</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",
       "       [149.87870711, 182.44176223, 176.07297321, ..., 206.24216777,\n",
       "        127.83538167,  15.19246178],\n",
       "       [ 80.58488543, 124.6370562 , 200.19517053, ..., 209.41593901,\n",
       "        186.84078464, 140.50142649],\n",
       "       [ 61.45393093, 251.16235697, 962.95518188, ..., 102.51411143,\n",
       "        185.71076657, 220.54937104]])</pre></div></div></li><li class='xr-section-item'><input id='section-8677bca2-6990-454b-8f27-d570e850a28c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8677bca2-6990-454b-8f27-d570e850a28c' 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-0a684366-95e3-479d-9dfd-4ed7f99a2c4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a684366-95e3-479d-9dfd-4ed7f99a2c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15297c30-8d12-4d9c-b25d-db4e55bc073f' class='xr-var-data-in' type='checkbox'><label for='data-15297c30-8d12-4d9c-b25d-db4e55bc073f' 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-0f181d56-8488-48f2-92f2-dfa3fa6bd8d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f181d56-8488-48f2-92f2-dfa3fa6bd8d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f684e32d-790a-42be-9c3e-60208670c203' class='xr-var-data-in' type='checkbox'><label for='data-f684e32d-790a-42be-9c3e-60208670c203' 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-83b72fc9-09b2-4b08-955b-7b946b897104' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-83b72fc9-09b2-4b08-955b-7b946b897104' 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",
       "       [149.87870711, 182.44176223, 176.07297321, ..., 206.24216777,\n",
       "        127.83538167,  15.19246178],\n",
       "       [ 80.58488543, 124.6370562 , 200.19517053, ..., 209.41593901,\n",
       "        186.84078464, 140.50142649],\n",
       "       [ 61.45393093, 251.16235697, 962.95518188, ..., 102.51411143,\n",
       "        185.71076657, 220.54937104]])\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": 24,
   "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",
    "\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",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(EraInt-CHIRPS)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(eraint-chirps).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "from matplotlib import ticker, cm\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['longitude'], bias_percentage['latitude'],bias_percentage[:,:],\n",
    "                  levels=np.arange(-150,150+25,25),transform = ccrs.PlateCarree(),\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=0.5, 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(EraInt-CHIRPS)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(eraint-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": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ebfbba77",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}