Seasonal Bias(Miroc5-chirps).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 496)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a1af4a57-be0f-4f61-80cd-3924705f81c3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1af4a57-be0f-4f61-80cd-3924705f81c3' 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-21fdeda7-06e9-4f5c-907f-fbde4cbe2162' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21fdeda7-06e9-4f5c-907f-fbde4cbe2162' 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-9076d8da-c26b-469b-9528-509018b3678b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9076d8da-c26b-469b-9528-509018b3678b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56f5bbb0-37d3-4e93-b327-451bc20b1a40' class='xr-var-data-in' type='checkbox'><label for='data-56f5bbb0-37d3-4e93-b327-451bc20b1a40' 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-34c80319-84aa-428c-98c9-ffbbe5c7b5f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34c80319-84aa-428c-98c9-ffbbe5c7b5f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f20217c5-3698-400a-984e-9f794704beb8' class='xr-var-data-in' type='checkbox'><label for='data-f20217c5-3698-400a-984e-9f794704beb8' 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-651f04c5-d302-4cae-91db-33670ffc05a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-651f04c5-d302-4cae-91db-33670ffc05a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98007f10-e3c2-44f8-9894-621346c2df6b' class='xr-var-data-in' type='checkbox'><label for='data-98007f10-e3c2-44f8-9894-621346c2df6b' 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-8295a510-aa41-4910-bfbb-41de7646cd5a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8295a510-aa41-4910-bfbb-41de7646cd5a' 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-e1176c20-c4ac-4147-9ec1-3a3e142125ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1176c20-c4ac-4147-9ec1-3a3e142125ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e6cbc00-8075-4258-b3fc-e3774227acb6' class='xr-var-data-in' type='checkbox'><label for='data-2e6cbc00-8075-4258-b3fc-e3774227acb6' 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-2016e01f-f641-4c69-a220-c261fad5a103' class='xr-section-summary-in' type='checkbox'  ><label for='section-2016e01f-f641-4c69-a220-c261fad5a103' 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",
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       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\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",
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       "    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,
     "metadata": {},
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   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/chirps/chirps-v2.0.monthly.nc')\n",
    " \n",
    "\n",
    "data"
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   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 299)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
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       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
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       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0796a6c4-c7f5-45f0-b115-dff0ba239c90' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0796a6c4-c7f5-45f0-b115-dff0ba239c90' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 299</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6cebd537-da59-4761-b870-5f065a4ba3f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cebd537-da59-4761-b870-5f065a4ba3f0' 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-d0f721e5-7688-40ca-8187-925c0f153fab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0f721e5-7688-40ca-8187-925c0f153fab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cbd28b7-30c8-4a0f-8ee6-1d1707484163' class='xr-var-data-in' type='checkbox'><label for='data-5cbd28b7-30c8-4a0f-8ee6-1d1707484163' 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-0304f1bf-ea69-4951-8e92-53b8a20a7f02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0304f1bf-ea69-4951-8e92-53b8a20a7f02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7d4e6ca-489a-49a4-9d04-445c9cb26034' class='xr-var-data-in' type='checkbox'><label for='data-f7d4e6ca-489a-49a4-9d04-445c9cb26034' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-02-01 ... 2005-12-01</div><input id='attrs-59c32804-a9d5-4311-8af6-1f0870aaf880' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59c32804-a9d5-4311-8af6-1f0870aaf880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad318da4-23c9-4f4b-ba9d-509f1a4291b2' class='xr-var-data-in' type='checkbox'><label for='data-ad318da4-23c9-4f4b-ba9d-509f1a4291b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-04-01T00:00:00.000000000&#x27;, ..., &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98aa0ab5-6777-434a-bc16-d4d8829994ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-98aa0ab5-6777-434a-bc16-d4d8829994ba' 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-43195666-e790-4631-a001-9cd79466555e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43195666-e790-4631-a001-9cd79466555e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2593d389-b1c0-444c-bdd2-7b51efdda4bf' class='xr-var-data-in' type='checkbox'><label for='data-2593d389-b1c0-444c-bdd2-7b51efdda4bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[4305600000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a0e089ab-4246-4847-b79e-baa879ec77d0' class='xr-section-summary-in' type='checkbox'  ><label for='section-a0e089ab-4246-4847-b79e-baa879ec77d0' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 299)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2005-12-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
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       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-015bdedc-8389-4009-8e7c-d642db43fb53' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-015bdedc-8389-4009-8e7c-d642db43fb53' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8061f1c5-aaf0-4d1e-86f7-bb4874760f5b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8061f1c5-aaf0-4d1e-86f7-bb4874760f5b' 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-2e80dedd-06e8-4f06-bd45-0f76a0818a97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e80dedd-06e8-4f06-bd45-0f76a0818a97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fe0b911-e841-4273-b315-12a856638ca0' class='xr-var-data-in' type='checkbox'><label for='data-9fe0b911-e841-4273-b315-12a856638ca0' 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-90cd3e7b-e03c-4a97-8336-e997e7913c08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90cd3e7b-e03c-4a97-8336-e997e7913c08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf0783fa-e197-4d37-b848-57d064c2c87b' class='xr-var-data-in' type='checkbox'><label for='data-cf0783fa-e197-4d37-b848-57d064c2c87b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-09-01</div><input id='attrs-c18e4738-f810-48e0-8f4d-08280b8f6bda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c18e4738-f810-48e0-8f4d-08280b8f6bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61ee9010-001b-4ba1-8005-dade96e07548' class='xr-var-data-in' type='checkbox'><label for='data-61ee9010-001b-4ba1-8005-dade96e07548' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28c38085-c161-45cc-abc0-8f39448c41f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-28c38085-c161-45cc-abc0-8f39448c41f2' 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-ae13c0f0-fea5-45ff-a901-39246bffda99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae13c0f0-fea5-45ff-a901-39246bffda99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fcfa96e-b4b0-412e-8dd5-a989069869b4' class='xr-var-data-in' type='checkbox'><label for='data-5fcfa96e-b4b0-412e-8dd5-a989069869b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[1440000000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3763e7c2-d7a6-4657-ae0b-aeb7599b2ef8' class='xr-section-summary-in' type='checkbox'  ><label for='section-3763e7c2-d7a6-4657-ae0b-aeb7599b2ef8' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 200, longitude: 160, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 18.02 18.07 18.12 18.17 ... 27.88 27.92 27.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6643a4c8-c902-4585-b262-7e60328574d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6643a4c8-c902-4585-b262-7e60328574d2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 200</li><li><span class='xr-has-index'>longitude</span>: 160</li><li><span class='xr-has-index'>time</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4946e860-9a9c-4eb2-a409-614672954869' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4946e860-9a9c-4eb2-a409-614672954869' 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-e0ae8931-ac52-4eb0-81d7-5b98248b5776' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0ae8931-ac52-4eb0-81d7-5b98248b5776' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79b4a1e8-152e-4fd0-94d7-2dc457a839d4' class='xr-var-data-in' type='checkbox'><label for='data-79b4a1e8-152e-4fd0-94d7-2dc457a839d4' 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-1dfc81a9-2e82-4b36-a4a8-5810aa0cd904' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dfc81a9-2e82-4b36-a4a8-5810aa0cd904' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56195286-5c21-4042-bd26-c3a1164e6de6' class='xr-var-data-in' type='checkbox'><label for='data-56195286-5c21-4042-bd26-c3a1164e6de6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.024994, 86.07501 , 86.125   , 86.17499 , 86.225006, 86.274994,\n",
       "       86.32501 , 86.375   , 86.42499 , 86.475006, 86.524994, 86.57501 ,\n",
       "       86.625   , 86.67499 , 86.725006, 86.774994, 86.82501 , 86.875   ,\n",
       "       86.92499 , 86.975006, 87.024994, 87.07501 , 87.125   , 87.17499 ,\n",
       "       87.225006, 87.274994, 87.32501 , 87.375   , 87.42499 , 87.475006,\n",
       "       87.524994, 87.57501 , 87.625   , 87.67499 , 87.725006, 87.774994,\n",
       "       87.82501 , 87.875   , 87.92499 , 87.975006, 88.024994, 88.07501 ,\n",
       "       88.125   , 88.17499 , 88.225006, 88.274994, 88.32501 , 88.375   ,\n",
       "       88.42499 , 88.475006, 88.524994, 88.57501 , 88.625   , 88.67499 ,\n",
       "       88.725006, 88.774994, 88.82501 , 88.875   , 88.92499 , 88.975006,\n",
       "       89.024994, 89.07501 , 89.125   , 89.17499 , 89.225006, 89.274994,\n",
       "       89.32501 , 89.375   , 89.42499 , 89.475006, 89.524994, 89.57501 ,\n",
       "       89.625   , 89.67499 , 89.725006, 89.774994, 89.82501 , 89.875   ,\n",
       "       89.92499 , 89.975006, 90.024994, 90.07501 , 90.125   , 90.17499 ,\n",
       "       90.225006, 90.274994, 90.32501 , 90.375   , 90.42499 , 90.475006,\n",
       "       90.524994, 90.57501 , 90.625   , 90.67499 , 90.725006, 90.774994,\n",
       "       90.82501 , 90.875   , 90.92499 , 90.975006, 91.024994, 91.07501 ,\n",
       "       91.125   , 91.17499 , 91.225006, 91.274994, 91.32501 , 91.375   ,\n",
       "       91.42499 , 91.475006, 91.524994, 91.57501 , 91.625   , 91.67499 ,\n",
       "       91.725006, 91.774994, 91.82501 , 91.875   , 91.92499 , 91.975006,\n",
       "       92.024994, 92.07501 , 92.125   , 92.17499 , 92.225006, 92.274994,\n",
       "       92.32501 , 92.375   , 92.42499 , 92.475006, 92.524994, 92.57501 ,\n",
       "       92.625   , 92.67499 , 92.725006, 92.774994, 92.82501 , 92.875   ,\n",
       "       92.92499 , 92.975006, 93.024994, 93.07501 , 93.125   , 93.17499 ,\n",
       "       93.225006, 93.274994, 93.32501 , 93.375   , 93.42499 , 93.475006,\n",
       "       93.524994, 93.57501 , 93.625   , 93.67499 , 93.725006, 93.774994,\n",
       "       93.82501 , 93.875   , 93.92499 , 93.975006], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-09-01</div><input id='attrs-73560515-1e53-47cc-a9bb-8144fe7f67f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73560515-1e53-47cc-a9bb-8144fe7f67f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-842faea6-cc06-4b72-baee-dd2c3c69a447' class='xr-var-data-in' type='checkbox'><label for='data-842faea6-cc06-4b72-baee-dd2c3c69a447' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9741fc44-684d-47b2-b6fe-5e0a83fa0a22' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9741fc44-684d-47b2-b6fe-5e0a83fa0a22' 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-b2e4d51e-c735-42f0-8225-1956d33f87f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2e4d51e-c735-42f0-8225-1956d33f87f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c90e061c-cb36-4425-a3d1-9a2cfd0a51a1' class='xr-var-data-in' type='checkbox'><label for='data-c90e061c-cb36-4425-a3d1-9a2cfd0a51a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[3200000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3d7b3a6-2fc7-4212-aea1-f93e4c7f4214' class='xr-section-summary-in' type='checkbox'  ><label for='section-e3d7b3a6-2fc7-4212-aea1-f93e4c7f4214' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 200, longitude: 160, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 18.02 18.07 18.12 18.17 ... 27.88 27.92 27.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(longitude=slice(86,94),latitude=slice(18,28))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "91600dec",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 100, latitude: 40, longitude: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float64 nan nan nan ... 230.4 188.8\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dc1ca412-685d-4c15-b3fa-7a6477d21e4d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dc1ca412-685d-4c15-b3fa-7a6477d21e4d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 100</li><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d70559b1-410e-4348-9905-582c8e34c179' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d70559b1-410e-4348-9905-582c8e34c179' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-09-01</div><input id='attrs-5f78e55d-d490-4287-bed1-fa2156e4b9a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f78e55d-d490-4287-bed1-fa2156e4b9a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40ddd3a8-2ded-47dc-8076-0ff2ecab7a40' class='xr-var-data-in' type='checkbox'><label for='data-40ddd3a8-2ded-47dc-8076-0ff2ecab7a40' 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",
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       "       &#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",
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       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-718fcbe7-7d9b-483b-a2ca-2eed0e45d50f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-718fcbe7-7d9b-483b-a2ca-2eed0e45d50f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48ab390e-cf4d-411d-9dec-8a3a3f7018a6' class='xr-var-data-in' type='checkbox'><label for='data-48ab390e-cf4d-411d-9dec-8a3a3f7018a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-0c4f34bf-1c20-4a42-97cf-17c3ec1268b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c4f34bf-1c20-4a42-97cf-17c3ec1268b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e17d6392-644d-48c0-98f2-288ad05091f1' class='xr-var-data-in' type='checkbox'><label for='data-e17d6392-644d-48c0-98f2-288ad05091f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c991406c-a1cc-4f4d-9dd2-cf7a8d41555d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c991406c-a1cc-4f4d-9dd2-cf7a8d41555d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 208.5 230.4 188.8</div><input id='attrs-e4245d6e-0e20-4e7a-b869-7c66a6f98bc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4245d6e-0e20-4e7a-b869-7c66a6f98bc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-811bd1fb-a5ba-4be4-aa32-aade87def145' class='xr-var-data-in' type='checkbox'><label for='data-811bd1fb-a5ba-4be4-aa32-aade87def145' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [133.89678937, 155.46110532, 230.98037671, ..., 275.52331433,\n",
       "         343.28179932, 500.43109134],\n",
       "        [187.11347956, 170.78231768, 248.30453574, ..., 167.09231633,\n",
       "         271.63955418, 400.34378113],\n",
       "        [232.34280392, 195.67346188, 180.9982605 , ..., 257.23327573,\n",
       "         329.25540089, 348.66754128]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "...\n",
       "        [317.91284271, 325.17346201, 361.66577163, ..., 267.84558172,\n",
       "         378.74087531, 505.20745808],\n",
       "        [334.98004176, 357.34854158, 338.02715977, ..., 177.84597788,\n",
       "         306.22396842, 368.7054445 ],\n",
       "        [265.1341246 , 263.09451231, 248.95587134, ..., 265.85815362,\n",
       "         271.34133846, 337.71618649]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [129.80400078, 152.13278171, 168.69747891, ..., 186.04707331,\n",
       "         176.43499766, 214.5176244 ],\n",
       "        [144.49536137, 150.51913425, 171.27456666, ..., 198.60873421,\n",
       "         200.06900025, 184.13995338],\n",
       "        [149.36831655, 139.7335205 , 117.97483809, ..., 208.46441687,\n",
       "         230.43916335, 188.80070483]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ead2ebe0-f19a-4fb5-9c9e-4e1781c6b0d4' class='xr-section-summary-in' type='checkbox'  ><label for='section-ead2ebe0-f19a-4fb5-9c9e-4e1781c6b0d4' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 100, latitude: 40, longitude: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float64 nan nan nan ... 230.4 188.8\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to new lat and lon\n",
    "\n",
    "new_lon = np.arange(86.125,94,0.25)\n",
    "new_lat = np.arange(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(latitude=new_lat,longitude=new_lon)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
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       "  color: var(--xr-font-color3);\n",
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       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
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       "\n",
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       "  display: none;\n",
       "}\n",
       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       ".xr-icon-file-text2 {\n",
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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",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c31c378e-b9c4-4385-bdf3-9ae82d3a9866' class='xr-array-in' type='checkbox' checked><label for='section-c31c378e-b9c4-4385-bdf3-9ae82d3a9866' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 74.31 103.7 151.5 220.4 251.8 284.7</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])</pre></div></div></li><li class='xr-section-item'><input id='section-a030b357-49ee-4280-a4ab-01fb70c36df3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a030b357-49ee-4280-a4ab-01fb70c36df3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-c49b6f05-44b5-4bdb-9448-cf2bb1b953c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c49b6f05-44b5-4bdb-9448-cf2bb1b953c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd9f7c2d-577e-4dfd-b4b4-188ce0abbadc' class='xr-var-data-in' type='checkbox'><label for='data-fd9f7c2d-577e-4dfd-b4b4-188ce0abbadc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-4017d9a2-a787-47c6-a6e9-049bd0a53228' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4017d9a2-a787-47c6-a6e9-049bd0a53228' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47adb847-5717-4af2-ad63-f069a93cff68' class='xr-var-data-in' type='checkbox'><label for='data-47adb847-5717-4af2-ad63-f069a93cff68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c6972ab-87e6-4b6b-ac8f-e7da85a63f56' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1c6972ab-87e6-4b6b-ac8f-e7da85a63f56' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (latitude: 40, longitude: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean/30.4167\n",
    "\n",
    "\n",
    "\n",
    "chirps = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:48:46 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-57f0c2f0-8435-43f7-b862-4d38247641cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57f0c2f0-8435-43f7-b862-4d38247641cb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-78082023-1f74-4d94-b386-7a9a86927fad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-78082023-1f74-4d94-b386-7a9a86927fad' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1970-01-16 12:00:00 ... 2005-12-...</div><input id='attrs-2b251859-9dab-4e65-89b8-e684f4014340' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b251859-9dab-4e65-89b8-e684f4014340' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80293c6c-59ba-4420-8b73-b11633abdfb7' class='xr-var-data-in' type='checkbox'><label for='data-80293c6c-59ba-4420-8b73-b11633abdfb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1970, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2005, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-50f73677-c757-41e9-972e-6765757a1e34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50f73677-c757-41e9-972e-6765757a1e34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c0f3c53-a49c-4c72-a08a-884f1b170f99' class='xr-var-data-in' type='checkbox'><label for='data-4c0f3c53-a49c-4c72-a08a-884f1b170f99' 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-88bb6959-6914-449d-ab53-4314372433d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88bb6959-6914-449d-ab53-4314372433d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0656431b-b363-4d9c-9314-f97a0b7f372d' class='xr-var-data-in' type='checkbox'><label for='data-0656431b-b363-4d9c-9314-f97a0b7f372d' 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-d6c8069c-4277-4f16-978e-cc103edfd26c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d6c8069c-4277-4f16-978e-cc103edfd26c' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7c5bdf4-8c2a-4d77-961e-e1ef41557b86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7c5bdf4-8c2a-4d77-961e-e1ef41557b86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beba203c-ab81-44db-8bfb-93d661783781' class='xr-var-data-in' type='checkbox'><label for='data-beba203c-ab81-44db-8bfb-93d661783781' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d78027d-d4a6-4894-aee8-2f96ec261f75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d78027d-d4a6-4894-aee8-2f96ec261f75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91ceb486-b277-4fda-9e17-c3d9f1389cb3' class='xr-var-data-in' type='checkbox'><label for='data-91ceb486-b277-4fda-9e17-c3d9f1389cb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[552960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e5deb7a-b40b-4f81-8021-03f4403d510f' class='xr-section-summary-in' type='checkbox'  ><label for='section-8e5deb7a-b40b-4f81-8021-03f4403d510f' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:48:46 2022: cdo remapnn,grid1.des miroc5_pr_197001-200512.nc miroc1_remap.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:48:46 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening miroc5 data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/MIROC5/miroc1_remap.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "11721a1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.lat.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5cbdbd2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mkibria/miniconda3/envs/esp-sp/lib/python3.9/site-packages/xarray/coding/times.py:351: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n",
      "/tmp/ipykernel_29114/3137857967.py:3: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
      "  datetimeindex = data.indexes['time'].to_datetimeindex()\n"
     ]
    },
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       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:48:46 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b976dafe-a6e6-4b30-8e79-8e71a426c847' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b976dafe-a6e6-4b30-8e79-8e71a426c847' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9c8796d5-afff-41c5-9fc5-b0fe279e9d68' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9c8796d5-afff-41c5-9fc5-b0fe279e9d68' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-7f8bd645-848b-46b5-8849-94b8bba161c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f8bd645-848b-46b5-8849-94b8bba161c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8121cccd-94a4-4a7e-8618-3e5108111fb1' class='xr-var-data-in' type='checkbox'><label for='data-8121cccd-94a4-4a7e-8618-3e5108111fb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-16T12:00:00.000000000&#x27;, &#x27;1970-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1970-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-5093af31-d310-4f7a-b605-ca27ef22dbae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5093af31-d310-4f7a-b605-ca27ef22dbae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c47a249-a77c-4c4c-b622-504809ce4a11' class='xr-var-data-in' type='checkbox'><label for='data-6c47a249-a77c-4c4c-b622-504809ce4a11' 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-3f99577d-a6ff-4fdf-929e-599da7897812' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f99577d-a6ff-4fdf-929e-599da7897812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bdbbfd8-516c-43a3-8b9e-f2d3ea464823' class='xr-var-data-in' type='checkbox'><label for='data-1bdbbfd8-516c-43a3-8b9e-f2d3ea464823' 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-6ede2e6a-3941-4043-a36f-0ab8f31c2629' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ede2e6a-3941-4043-a36f-0ab8f31c2629' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1970-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-bd1be6f5-e05f-4c71-b3fb-a779610c3d2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd1be6f5-e05f-4c71-b3fb-a779610c3d2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-034cadfa-b07e-4e51-a3ba-718efdefe8c0' class='xr-var-data-in' type='checkbox'><label for='data-034cadfa-b07e-4e51-a3ba-718efdefe8c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-649bfa58-1979-4196-91ab-a7fda104fc9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-649bfa58-1979-4196-91ab-a7fda104fc9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a504a921-3fcd-4aa0-b2cb-f17c2ab6ba0c' class='xr-var-data-in' type='checkbox'><label for='data-a504a921-3fcd-4aa0-b2cb-f17c2ab6ba0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[552960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dfff1b0b-57e5-46a6-93be-eef1cfc72f78' class='xr-section-summary-in' type='checkbox'  ><label for='section-dfff1b0b-57e5-46a6-93be-eef1cfc72f78' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:48:46 2022: cdo remapnn,grid1.des miroc5_pr_197001-200512.nc miroc1_remap.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:48:46 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing time dim to datetime64[ns] dtype\n",
    "\n",
    "datetimeindex = data.indexes['time'].to_datetimeindex()\n",
    "data['time']=datetimeindex\n",
    "data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 300, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:48:46 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1c5a0c15-489a-4946-873e-339d4dbfba7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1c5a0c15-489a-4946-873e-339d4dbfba7b' 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>: 300</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-f3edc46c-305a-4c05-8e2b-4c97638557a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f3edc46c-305a-4c05-8e2b-4c97638557a2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-a006af0f-b067-4a26-987e-4e92739aa747' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a006af0f-b067-4a26-987e-4e92739aa747' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b16bbb4-5ce5-42c9-9d5b-d46fe4b61bbe' class='xr-var-data-in' type='checkbox'><label for='data-0b16bbb4-5ce5-42c9-9d5b-d46fe4b61bbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-dd80646b-fd0a-45bd-99f0-db7a662f12e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd80646b-fd0a-45bd-99f0-db7a662f12e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a878a68b-11d3-4bc1-9daf-54a2efb14d07' class='xr-var-data-in' type='checkbox'><label for='data-a878a68b-11d3-4bc1-9daf-54a2efb14d07' 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-b1aa7f02-4ef0-42bc-99cc-7184bfe2cf4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1aa7f02-4ef0-42bc-99cc-7184bfe2cf4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e778ac9d-be8b-4995-9bfe-50d857e7de23' class='xr-var-data-in' type='checkbox'><label for='data-e778ac9d-be8b-4995-9bfe-50d857e7de23' 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-6cf24930-cf0a-4319-a284-007200460297' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cf24930-cf0a-4319-a284-007200460297' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1981-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-ede938c0-2c67-4547-bcfd-b0a0b4622b0c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ede938c0-2c67-4547-bcfd-b0a0b4622b0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-832771ca-e7b2-4f55-af8e-6545b01a62b7' class='xr-var-data-in' type='checkbox'><label for='data-832771ca-e7b2-4f55-af8e-6545b01a62b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1981, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffa65bc5-496a-4c5c-8c64-8e6c16fc95f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffa65bc5-496a-4c5c-8c64-8e6c16fc95f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dfb021b-8d34-42ca-b73d-0888f65de611' class='xr-var-data-in' type='checkbox'><label for='data-1dfb021b-8d34-42ca-b73d-0888f65de611' 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>[384000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-325f3344-5ed6-4e48-a512-fdc702f67566' class='xr-section-summary-in' type='checkbox'  ><label for='section-325f3344-5ed6-4e48-a512-fdc702f67566' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:48:46 2022: cdo remapnn,grid1.des miroc5_pr_197001-200512.nc miroc1_remap.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 300, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:48:46 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#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": 15,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
    {
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       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 100, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:48:46 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bd70d1be-b760-4ea6-ba65-75fd1fac1193' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd70d1be-b760-4ea6-ba65-75fd1fac1193' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 100</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d1302baa-48d0-41e4-96c4-439ac356c0ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d1302baa-48d0-41e4-96c4-439ac356c0ff' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2005-09-16</div><input id='attrs-814a8ebe-5aff-4199-b671-a73b8742175a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-814a8ebe-5aff-4199-b671-a73b8742175a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b86a575-600f-4e1f-b0f6-4c7c60b89bc0' class='xr-var-data-in' type='checkbox'><label for='data-4b86a575-600f-4e1f-b0f6-4c7c60b89bc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-6ffd668a-0526-4c26-a53e-78cc97422f5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ffd668a-0526-4c26-a53e-78cc97422f5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0819fad8-6c28-445d-9190-17f2211500d1' class='xr-var-data-in' type='checkbox'><label for='data-0819fad8-6c28-445d-9190-17f2211500d1' 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-bf637391-894c-4c15-bcd8-99ca83f0c5ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf637391-894c-4c15-bcd8-99ca83f0c5ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fae4449c-e038-4f26-b376-843665507888' class='xr-var-data-in' type='checkbox'><label for='data-fae4449c-e038-4f26-b376-843665507888' 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-4479d407-e7bc-4b01-941a-bfaa6975af0f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4479d407-e7bc-4b01-941a-bfaa6975af0f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1981-06-01 00:00:00 ... 2005-10-...</div><input id='attrs-3003b839-dd15-4f4b-9e12-23773d5cac56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3003b839-dd15-4f4b-9e12-23773d5cac56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54e6f315-275f-4583-a599-48730664d684' class='xr-var-data-in' type='checkbox'><label for='data-54e6f315-275f-4583-a599-48730664d684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1981, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dafed2d7-6b03-4466-b5f1-8c11d695d4de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dafed2d7-6b03-4466-b5f1-8c11d695d4de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47ca9b63-304c-40a4-b405-f069439760c9' class='xr-var-data-in' type='checkbox'><label for='data-47ca9b63-304c-40a4-b405-f069439760c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[128000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10584875-1d30-45a3-bd24-463f9ef17577' class='xr-section-summary-in' type='checkbox'  ><label for='section-10584875-1d30-45a3-bd24-463f9ef17577' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:48:46 2022: cdo remapnn,grid1.des miroc5_pr_197001-200512.nc miroc1_remap.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 100, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:48:46 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 15,
     "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": 16,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[2.17927827e-05, 2.13933308e-05, 2.12567156e-05, ...,\n",
       "        7.59974355e-05, 8.08874975e-05, 8.77504499e-05],\n",
       "       [2.11864317e-05, 2.08832516e-05, 2.05256001e-05, ...,\n",
       "        7.75653607e-05, 8.54473838e-05, 8.36988838e-05],\n",
       "       [2.05653923e-05, 2.03335239e-05, 1.94794156e-05, ...,\n",
       "        8.46634139e-05, 9.55786963e-05, 1.00208075e-04],\n",
       "       ...,\n",
       "       [2.16806046e-04, 2.42528797e-04, 2.79345782e-04, ...,\n",
       "        2.20444737e-04, 2.11302875e-04, 1.82475691e-04],\n",
       "       [2.20107308e-04, 2.60711648e-04, 3.16639838e-04, ...,\n",
       "        1.96795168e-04, 2.29429701e-04, 2.49268167e-04],\n",
       "       [2.11126186e-04, 3.36772064e-04, 5.30796999e-04, ...,\n",
       "        2.05720760e-04, 2.63516587e-04, 3.31312971e-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-57cc015b-ddc2-4d8c-b209-60119d8d3479' class='xr-array-in' type='checkbox' checked><label for='section-57cc015b-ddc2-4d8c-b209-60119d8d3479' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.179e-05 2.139e-05 2.126e-05 ... 0.0002057 0.0002635 0.0003313</span></div><div class='xr-array-data'><pre>array([[2.17927827e-05, 2.13933308e-05, 2.12567156e-05, ...,\n",
       "        7.59974355e-05, 8.08874975e-05, 8.77504499e-05],\n",
       "       [2.11864317e-05, 2.08832516e-05, 2.05256001e-05, ...,\n",
       "        7.75653607e-05, 8.54473838e-05, 8.36988838e-05],\n",
       "       [2.05653923e-05, 2.03335239e-05, 1.94794156e-05, ...,\n",
       "        8.46634139e-05, 9.55786963e-05, 1.00208075e-04],\n",
       "       ...,\n",
       "       [2.16806046e-04, 2.42528797e-04, 2.79345782e-04, ...,\n",
       "        2.20444737e-04, 2.11302875e-04, 1.82475691e-04],\n",
       "       [2.20107308e-04, 2.60711648e-04, 3.16639838e-04, ...,\n",
       "        1.96795168e-04, 2.29429701e-04, 2.49268167e-04],\n",
       "       [2.11126186e-04, 3.36772064e-04, 5.30796999e-04, ...,\n",
       "        2.05720760e-04, 2.63516587e-04, 3.31312971e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-401fd099-e23a-4033-b54e-28f3f770544e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-401fd099-e23a-4033-b54e-28f3f770544e' 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-bf7a9ef6-1a53-4e38-b471-88819316e8b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf7a9ef6-1a53-4e38-b471-88819316e8b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73b35ec5-3b4c-4b76-b27a-cced33c37f28' class='xr-var-data-in' type='checkbox'><label for='data-73b35ec5-3b4c-4b76-b27a-cced33c37f28' 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-0f4fa51e-e2b5-462a-85e3-e72e0fc7cafa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f4fa51e-e2b5-462a-85e3-e72e0fc7cafa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ab8a84a-4b0a-4591-b84d-0bf447f715b5' class='xr-var-data-in' type='checkbox'><label for='data-2ab8a84a-4b0a-4591-b84d-0bf447f715b5' 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-dd6229c9-9c43-4c37-ab33-27971d3211d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd6229c9-9c43-4c37-ab33-27971d3211d7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (latitude: 40, longitude: 32)>\n",
       "array([[2.17927827e-05, 2.13933308e-05, 2.12567156e-05, ...,\n",
       "        7.59974355e-05, 8.08874975e-05, 8.77504499e-05],\n",
       "       [2.11864317e-05, 2.08832516e-05, 2.05256001e-05, ...,\n",
       "        7.75653607e-05, 8.54473838e-05, 8.36988838e-05],\n",
       "       [2.05653923e-05, 2.03335239e-05, 1.94794156e-05, ...,\n",
       "        8.46634139e-05, 9.55786963e-05, 1.00208075e-04],\n",
       "       ...,\n",
       "       [2.16806046e-04, 2.42528797e-04, 2.79345782e-04, ...,\n",
       "        2.20444737e-04, 2.11302875e-04, 1.82475691e-04],\n",
       "       [2.20107308e-04, 2.60711648e-04, 3.16639838e-04, ...,\n",
       "        1.96795168e-04, 2.29429701e-04, 2.49268167e-04],\n",
       "       [2.11126186e-04, 3.36772064e-04, 5.30796999e-04, ...,\n",
       "        2.05720760e-04, 2.63516587e-04, 3.31312971e-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": 18,
     "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": 19,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[ 1.88289643,  1.84838378,  1.83658023, ...,  6.56617843,\n",
       "         6.98867978,  7.58163887],\n",
       "       [ 1.8305077 ,  1.80431294,  1.77341185, ...,  6.70164716,\n",
       "         7.38265396,  7.23158356],\n",
       "       [ 1.7768499 ,  1.75681647,  1.68302151, ...,  7.31491896,\n",
       "         8.25799936,  8.65797771],\n",
       "       ...,\n",
       "       [18.73204233, 20.95448803, 24.13547561, ..., 19.04642531,\n",
       "        18.2565684 , 15.7658997 ],\n",
       "       [19.01727137, 22.52548635, 27.35768203, ..., 17.00310255,\n",
       "        19.82272617, 21.53676962],\n",
       "       [18.24130244, 29.09710631, 45.86086068, ..., 17.77427369,\n",
       "        22.76783315, 28.62544069]])\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-d6c331e8-8315-48de-9335-13b23401e99c' class='xr-array-in' type='checkbox' checked><label for='section-d6c331e8-8315-48de-9335-13b23401e99c' 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>1.883 1.848 1.837 1.85 1.887 1.882 ... 26.86 20.8 17.77 22.77 28.63</span></div><div class='xr-array-data'><pre>array([[ 1.88289643,  1.84838378,  1.83658023, ...,  6.56617843,\n",
       "         6.98867978,  7.58163887],\n",
       "       [ 1.8305077 ,  1.80431294,  1.77341185, ...,  6.70164716,\n",
       "         7.38265396,  7.23158356],\n",
       "       [ 1.7768499 ,  1.75681647,  1.68302151, ...,  7.31491896,\n",
       "         8.25799936,  8.65797771],\n",
       "       ...,\n",
       "       [18.73204233, 20.95448803, 24.13547561, ..., 19.04642531,\n",
       "        18.2565684 , 15.7658997 ],\n",
       "       [19.01727137, 22.52548635, 27.35768203, ..., 17.00310255,\n",
       "        19.82272617, 21.53676962],\n",
       "       [18.24130244, 29.09710631, 45.86086068, ..., 17.77427369,\n",
       "        22.76783315, 28.62544069]])</pre></div></div></li><li class='xr-section-item'><input id='section-65371d93-178e-4588-ae46-2435c6fd4497' class='xr-section-summary-in' type='checkbox'  checked><label for='section-65371d93-178e-4588-ae46-2435c6fd4497' 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-1bb988d8-3adb-4b9a-aa19-bb2c01549b32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bb988d8-3adb-4b9a-aa19-bb2c01549b32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8374aeeb-e9b0-4d86-9329-3c1381d5721b' class='xr-var-data-in' type='checkbox'><label for='data-8374aeeb-e9b0-4d86-9329-3c1381d5721b' 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-8ff37d0c-8e3d-4afb-a13a-18578dd9b974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ff37d0c-8e3d-4afb-a13a-18578dd9b974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8850845f-2b99-4126-a8e5-00962f71d15e' class='xr-var-data-in' type='checkbox'><label for='data-8850845f-2b99-4126-a8e5-00962f71d15e' 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-ecb30870-241f-4e12-9b02-fadf876cd632' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ecb30870-241f-4e12-9b02-fadf876cd632' 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([[ 1.88289643,  1.84838378,  1.83658023, ...,  6.56617843,\n",
       "         6.98867978,  7.58163887],\n",
       "       [ 1.8305077 ,  1.80431294,  1.77341185, ...,  6.70164716,\n",
       "         7.38265396,  7.23158356],\n",
       "       [ 1.7768499 ,  1.75681647,  1.68302151, ...,  7.31491896,\n",
       "         8.25799936,  8.65797771],\n",
       "       ...,\n",
       "       [18.73204233, 20.95448803, 24.13547561, ..., 19.04642531,\n",
       "        18.2565684 , 15.7658997 ],\n",
       "       [19.01727137, 22.52548635, 27.35768203, ..., 17.00310255,\n",
       "        19.82272617, 21.53676962],\n",
       "       [18.24130244, 29.09710631, 45.86086068, ..., 17.77427369,\n",
       "        22.76783315, 28.62544069]])\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": [
    "miroc = jjas_mean*86400\n",
    "miroc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (latitude: 40, longitude: 32)&gt;\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [10.54648777, 11.90510291, 12.99540714, ..., 12.33839509,\n",
       "         9.27099513,  2.67798859],\n",
       "       [ 8.72579608, 12.49835944, 16.15227087, ..., 11.76966867,\n",
       "        11.73513269, 12.1067987 ],\n",
       "       [ 8.36716667, 20.09597669, 38.24061348, ..., 10.52785934,\n",
       "        14.49012461, 19.26625187]])\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-85ac911d-3984-4f8c-8fe1-6b5fb94be9d7' class='xr-array-in' type='checkbox' checked><label for='section-85ac911d-3984-4f8c-8fe1-6b5fb94be9d7' 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 ... 37.81 23.45 15.82 10.53 14.49 19.27</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",
       "       [10.54648777, 11.90510291, 12.99540714, ..., 12.33839509,\n",
       "         9.27099513,  2.67798859],\n",
       "       [ 8.72579608, 12.49835944, 16.15227087, ..., 11.76966867,\n",
       "        11.73513269, 12.1067987 ],\n",
       "       [ 8.36716667, 20.09597669, 38.24061348, ..., 10.52785934,\n",
       "        14.49012461, 19.26625187]])</pre></div></div></li><li class='xr-section-item'><input id='section-a753cc6d-0da2-4751-9d8b-718a401b0adb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a753cc6d-0da2-4751-9d8b-718a401b0adb' 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-fc08f9b6-64a6-445d-9050-8c9bb6120814' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc08f9b6-64a6-445d-9050-8c9bb6120814' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d8a8eec-3ef1-4437-805c-2d6fec909967' class='xr-var-data-in' type='checkbox'><label for='data-2d8a8eec-3ef1-4437-805c-2d6fec909967' 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-427fe879-e411-4fb6-8f7f-140418ae0c42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-427fe879-e411-4fb6-8f7f-140418ae0c42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f771a68-9a5b-4df0-adda-67199de4d4d1' class='xr-var-data-in' type='checkbox'><label for='data-8f771a68-9a5b-4df0-adda-67199de4d4d1' 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-f67a9a97-b111-4409-8716-bb03483b1b3d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f67a9a97-b111-4409-8716-bb03483b1b3d' 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",
       "       [10.54648777, 11.90510291, 12.99540714, ..., 12.33839509,\n",
       "         9.27099513,  2.67798859],\n",
       "       [ 8.72579608, 12.49835944, 16.15227087, ..., 11.76966867,\n",
       "        11.73513269, 12.1067987 ],\n",
       "       [ 8.36716667, 20.09597669, 38.24061348, ..., 10.52785934,\n",
       "        14.49012461, 19.26625187]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = miroc - chirps\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (latitude: 40, longitude: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [128.84267872, 131.55703681, 116.65464333, ..., 183.93469766,\n",
       "        103.17644585,  20.46154325],\n",
       "       [ 84.78663966, 124.64546985, 144.14706123, ..., 224.89380651,\n",
       "        145.10042727, 128.38638419],\n",
       "       [ 84.73821771, 223.26060764, 501.82904115, ..., 145.2837062 ,\n",
       "        175.04994915, 205.85386433]])\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-8ee8c719-2338-43b5-9ccd-7f9f693841bf' class='xr-array-in' type='checkbox' checked><label for='section-8ee8c719-2338-43b5-9ccd-7f9f693841bf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan ... 1.548e+03 687.9 317.6 145.3 175.0 205.9</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",
       "       [128.84267872, 131.55703681, 116.65464333, ..., 183.93469766,\n",
       "        103.17644585,  20.46154325],\n",
       "       [ 84.78663966, 124.64546985, 144.14706123, ..., 224.89380651,\n",
       "        145.10042727, 128.38638419],\n",
       "       [ 84.73821771, 223.26060764, 501.82904115, ..., 145.2837062 ,\n",
       "        175.04994915, 205.85386433]])</pre></div></div></li><li class='xr-section-item'><input id='section-dbc7e4a5-6671-4048-b912-44326b740819' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbc7e4a5-6671-4048-b912-44326b740819' 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-b8919c4f-3bb1-407d-a91a-a5b947737879' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8919c4f-3bb1-407d-a91a-a5b947737879' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecffc232-b41a-4032-aa92-9b876ac136d7' class='xr-var-data-in' type='checkbox'><label for='data-ecffc232-b41a-4032-aa92-9b876ac136d7' 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-02586b65-5db0-4fca-901e-0487f66a8e90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02586b65-5db0-4fca-901e-0487f66a8e90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0e9abe4-f9c9-4ab4-8845-1044aa439439' class='xr-var-data-in' type='checkbox'><label for='data-c0e9abe4-f9c9-4ab4-8845-1044aa439439' 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-2ceac9f4-d1bb-4837-ab3b-eb5dcef5d872' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2ceac9f4-d1bb-4837-ab3b-eb5dcef5d872' 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",
       "       [128.84267872, 131.55703681, 116.65464333, ..., 183.93469766,\n",
       "        103.17644585,  20.46154325],\n",
       "       [ 84.78663966, 124.64546985, 144.14706123, ..., 224.89380651,\n",
       "        145.10042727, 128.38638419],\n",
       "       [ 84.73821771, 223.26060764, 501.82904115, ..., 145.2837062 ,\n",
       "        175.04994915, 205.85386433]])\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": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((miroc - chirps)/chirps)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['longitude'], bias['latitude'],bias[:,:],\n",
    "               levels=np.arange(-15,15+3,3),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, ticks=np.arange(-15,15+3,3), orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(RegCM MIROC5-CHIRPS)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(miroc5-chirps).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['longitude'], bias_percentage['latitude'],bias_percentage[:,:],\n",
    "                levels=np.arange(-150,150+25,25),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-150,150+25,25),orientation = 'horizontal',shrink=0.7, fraction = 0.05 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "#plt.rcParams['font.size'] = '14'\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(RegCM MIROC5-CHIRPS)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(miroc5-chirps).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "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": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}