Bd_pr_chirps.ipynb

{
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   "source": [
    "#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",
   "execution_count": 16,
   "id": "265f6fcb",
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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-ed67ad04-2b1d-4ae1-8931-b5e0b7bca54a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ed67ad04-2b1d-4ae1-8931-b5e0b7bca54a' 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-7e3f70df-991a-4033-82d8-69152d9f56d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e3f70df-991a-4033-82d8-69152d9f56d4' 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-35447c03-9817-4632-a4aa-0d89332fd3b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35447c03-9817-4632-a4aa-0d89332fd3b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d280da8-98c7-4600-897f-a964c4e80599' class='xr-var-data-in' type='checkbox'><label for='data-8d280da8-98c7-4600-897f-a964c4e80599' 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-521811f7-cf79-48cb-a517-387728134e63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-521811f7-cf79-48cb-a517-387728134e63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-929f8ff4-7018-4f1a-a187-dff95175559e' class='xr-var-data-in' type='checkbox'><label for='data-929f8ff4-7018-4f1a-a187-dff95175559e' 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-d3dc3de4-4b92-4ea6-95bc-5ecc7884b057' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3dc3de4-4b92-4ea6-95bc-5ecc7884b057' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7146966-fa9c-4918-a8f6-aad7e411c22c' class='xr-var-data-in' type='checkbox'><label for='data-c7146966-fa9c-4918-a8f6-aad7e411c22c' 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-917cfc2c-5eb4-4ef3-9bd3-3e6ec2c454c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-917cfc2c-5eb4-4ef3-9bd3-3e6ec2c454c5' 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-55c580cd-5af2-44ac-aa06-b5fc6abbf295' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55c580cd-5af2-44ac-aa06-b5fc6abbf295' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4afc723c-2826-4daf-8da6-9f8f42e520e5' class='xr-var-data-in' type='checkbox'><label for='data-4afc723c-2826-4daf-8da6-9f8f42e520e5' 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-7c82edc6-a17e-4d63-a51e-19111c4e0dc1' class='xr-section-summary-in' type='checkbox'  ><label for='section-7c82edc6-a17e-4d63-a51e-19111c4e0dc1' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
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       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 496)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
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       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
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     },
     "execution_count": 16,
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   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/chirps/chirps-v2.0.monthly.nc')\n",
    " \n",
    "\n",
    "data"
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   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 419)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
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       "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-2b24d6c6-ac6a-42cb-bc10-3fb031428243' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b24d6c6-ac6a-42cb-bc10-3fb031428243' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 419</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-27b2b24f-e60f-4e70-9553-2365d920c2d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27b2b24f-e60f-4e70-9553-2365d920c2d7' 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-4600c9e2-bd3f-46e9-a9b0-0cf862b7d2a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4600c9e2-bd3f-46e9-a9b0-0cf862b7d2a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bab90df9-e7b4-4b52-870e-102a7ca1bb73' class='xr-var-data-in' type='checkbox'><label for='data-bab90df9-e7b4-4b52-870e-102a7ca1bb73' 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-1c508404-aa49-4d99-aa38-ec848e3e9610' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c508404-aa49-4d99-aa38-ec848e3e9610' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09df7d76-1c2c-435c-a0ff-2890622dad09' class='xr-var-data-in' type='checkbox'><label for='data-09df7d76-1c2c-435c-a0ff-2890622dad09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-02-01 ... 2015-12-01</div><input id='attrs-2c5205f5-f796-4288-809c-33511cbfb051' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c5205f5-f796-4288-809c-33511cbfb051' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa7d222c-8998-48cc-8af6-cd3a391ae0aa' class='xr-var-data-in' type='checkbox'><label for='data-aa7d222c-8998-48cc-8af6-cd3a391ae0aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-04-01T00:00:00.000000000&#x27;, ..., &#x27;2015-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-497a9104-92ca-4317-80a6-830729d584ad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-497a9104-92ca-4317-80a6-830729d584ad' 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-1cb69822-da85-4f95-b5b4-59884534bc43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cb69822-da85-4f95-b5b4-59884534bc43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2de7ec60-bebd-4d48-9081-6abf63756798' class='xr-var-data-in' type='checkbox'><label for='data-2de7ec60-bebd-4d48-9081-6abf63756798' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[6033600000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac9c24b5-fee4-4c76-a16b-51a1f191d6eb' class='xr-section-summary-in' type='checkbox'  ><label for='section-ac9c24b5-fee4-4c76-a16b-51a1f191d6eb' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 419)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2015-12-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 17,
     "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": 18,
   "id": "31cc8fde",
   "metadata": {},
   "outputs": [
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       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 140)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ce07c824-9ab9-4979-bfce-9c58a5331963' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ce07c824-9ab9-4979-bfce-9c58a5331963' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 140</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6d6d2478-f93a-4a4b-bc33-3e410ab19344' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6d6d2478-f93a-4a4b-bc33-3e410ab19344' 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-7678e640-5d8f-4dda-933d-defa18fcdd6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7678e640-5d8f-4dda-933d-defa18fcdd6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d887a794-972e-4fee-baf6-be661e2d3845' class='xr-var-data-in' type='checkbox'><label for='data-d887a794-972e-4fee-baf6-be661e2d3845' 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-6c15cbca-579a-4c12-a509-13ce4a66beb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c15cbca-579a-4c12-a509-13ce4a66beb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e0d8191-9f95-4ce3-ae00-ba677b7bff86' class='xr-var-data-in' type='checkbox'><label for='data-2e0d8191-9f95-4ce3-ae00-ba677b7bff86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2015-09-01</div><input id='attrs-2c975082-07da-4ec3-893d-30734a10e869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c975082-07da-4ec3-893d-30734a10e869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8cef07b-b35e-4a39-8ac8-fbf028d1de20' class='xr-var-data-in' type='checkbox'><label for='data-d8cef07b-b35e-4a39-8ac8-fbf028d1de20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-01T00:00:00.000000000&#x27;, &#x27;2009-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-01T00:00:00.000000000&#x27;, &#x27;2009-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-01T00:00:00.000000000&#x27;, &#x27;2010-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-01T00:00:00.000000000&#x27;, &#x27;2010-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-01T00:00:00.000000000&#x27;, &#x27;2011-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-01T00:00:00.000000000&#x27;, &#x27;2011-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-01T00:00:00.000000000&#x27;, &#x27;2012-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-01T00:00:00.000000000&#x27;, &#x27;2012-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-01T00:00:00.000000000&#x27;, &#x27;2013-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-01T00:00:00.000000000&#x27;, &#x27;2013-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-01T00:00:00.000000000&#x27;, &#x27;2014-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-01T00:00:00.000000000&#x27;, &#x27;2014-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-01T00:00:00.000000000&#x27;, &#x27;2015-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a1cd465-6779-4939-825b-a2caf8e10bf8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a1cd465-6779-4939-825b-a2caf8e10bf8' 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-78eaefde-6da1-42a8-8ed9-448599aeef0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78eaefde-6da1-42a8-8ed9-448599aeef0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7f5cafa-68f9-480b-895b-8c846e3358e5' class='xr-var-data-in' type='checkbox'><label for='data-c7f5cafa-68f9-480b-895b-8c846e3358e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[2016000000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-167eccaa-ec70-429c-99b7-bb24a0519f89' class='xr-section-summary-in' type='checkbox'  ><label for='section-167eccaa-ec70-429c-99b7-bb24a0519f89' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 140)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 18,
     "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": 19,
   "id": "4d0f00b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#data.longitude.values\n",
    "#data.lat.values\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "afdbe6c9",
   "metadata": {},
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 140, longitude: 160, time: 140)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-042729a7-0683-47b7-8eeb-a7487e6639a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-042729a7-0683-47b7-8eeb-a7487e6639a3' 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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li><li><span class='xr-has-index'>time</span>: 140</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d282e541-e1e2-4c99-937a-eabff4e20551' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d282e541-e1e2-4c99-937a-eabff4e20551' 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'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-cf882675-1d6a-4d3c-9ea0-952e6497e6e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf882675-1d6a-4d3c-9ea0-952e6497e6e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-785e5b4c-4a1a-462c-a6e7-07dbef60ca24' class='xr-var-data-in' type='checkbox'><label for='data-785e5b4c-4a1a-462c-a6e7-07dbef60ca24' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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-2563b920-f569-4a31-be92-8c5cab083f31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2563b920-f569-4a31-be92-8c5cab083f31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28aa8fea-363a-4116-a44e-482637d6c4df' class='xr-var-data-in' type='checkbox'><label for='data-28aa8fea-363a-4116-a44e-482637d6c4df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.024994, 86.07501 , 86.125   , 86.17499 , 86.225006, 86.274994,\n",
       "       86.32501 , 86.375   , 86.42499 , 86.475006, 86.524994, 86.57501 ,\n",
       "       86.625   , 86.67499 , 86.725006, 86.774994, 86.82501 , 86.875   ,\n",
       "       86.92499 , 86.975006, 87.024994, 87.07501 , 87.125   , 87.17499 ,\n",
       "       87.225006, 87.274994, 87.32501 , 87.375   , 87.42499 , 87.475006,\n",
       "       87.524994, 87.57501 , 87.625   , 87.67499 , 87.725006, 87.774994,\n",
       "       87.82501 , 87.875   , 87.92499 , 87.975006, 88.024994, 88.07501 ,\n",
       "       88.125   , 88.17499 , 88.225006, 88.274994, 88.32501 , 88.375   ,\n",
       "       88.42499 , 88.475006, 88.524994, 88.57501 , 88.625   , 88.67499 ,\n",
       "       88.725006, 88.774994, 88.82501 , 88.875   , 88.92499 , 88.975006,\n",
       "       89.024994, 89.07501 , 89.125   , 89.17499 , 89.225006, 89.274994,\n",
       "       89.32501 , 89.375   , 89.42499 , 89.475006, 89.524994, 89.57501 ,\n",
       "       89.625   , 89.67499 , 89.725006, 89.774994, 89.82501 , 89.875   ,\n",
       "       89.92499 , 89.975006, 90.024994, 90.07501 , 90.125   , 90.17499 ,\n",
       "       90.225006, 90.274994, 90.32501 , 90.375   , 90.42499 , 90.475006,\n",
       "       90.524994, 90.57501 , 90.625   , 90.67499 , 90.725006, 90.774994,\n",
       "       90.82501 , 90.875   , 90.92499 , 90.975006, 91.024994, 91.07501 ,\n",
       "       91.125   , 91.17499 , 91.225006, 91.274994, 91.32501 , 91.375   ,\n",
       "       91.42499 , 91.475006, 91.524994, 91.57501 , 91.625   , 91.67499 ,\n",
       "       91.725006, 91.774994, 91.82501 , 91.875   , 91.92499 , 91.975006,\n",
       "       92.024994, 92.07501 , 92.125   , 92.17499 , 92.225006, 92.274994,\n",
       "       92.32501 , 92.375   , 92.42499 , 92.475006, 92.524994, 92.57501 ,\n",
       "       92.625   , 92.67499 , 92.725006, 92.774994, 92.82501 , 92.875   ,\n",
       "       92.92499 , 92.975006, 93.024994, 93.07501 , 93.125   , 93.17499 ,\n",
       "       93.225006, 93.274994, 93.32501 , 93.375   , 93.42499 , 93.475006,\n",
       "       93.524994, 93.57501 , 93.625   , 93.67499 , 93.725006, 93.774994,\n",
       "       93.82501 , 93.875   , 93.92499 , 93.975006], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2015-09-01</div><input id='attrs-ba523382-da93-4232-826b-470bc1bbf66f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba523382-da93-4232-826b-470bc1bbf66f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a3b09b-f1db-4e23-a42f-df82a1389cc3' class='xr-var-data-in' type='checkbox'><label for='data-30a3b09b-f1db-4e23-a42f-df82a1389cc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-01T00:00:00.000000000&#x27;, &#x27;2009-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-01T00:00:00.000000000&#x27;, &#x27;2009-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-01T00:00:00.000000000&#x27;, &#x27;2010-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-01T00:00:00.000000000&#x27;, &#x27;2010-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-01T00:00:00.000000000&#x27;, &#x27;2011-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-01T00:00:00.000000000&#x27;, &#x27;2011-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-01T00:00:00.000000000&#x27;, &#x27;2012-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-01T00:00:00.000000000&#x27;, &#x27;2012-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-01T00:00:00.000000000&#x27;, &#x27;2013-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-01T00:00:00.000000000&#x27;, &#x27;2013-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-01T00:00:00.000000000&#x27;, &#x27;2014-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-01T00:00:00.000000000&#x27;, &#x27;2014-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-01T00:00:00.000000000&#x27;, &#x27;2015-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9355f137-5ebb-40fc-aba1-3bae4b0fd293' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9355f137-5ebb-40fc-aba1-3bae4b0fd293' 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-5c7a2322-d6d4-4401-ab50-b939e4d4b15f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c7a2322-d6d4-4401-ab50-b939e4d4b15f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-badfd498-eed2-4e24-badb-0392c8a022fc' class='xr-var-data-in' type='checkbox'><label for='data-badfd498-eed2-4e24-badb-0392c8a022fc' 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>[3136000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-894a1b4e-76b5-4418-a171-46a85744ec53' class='xr-section-summary-in' type='checkbox'  ><label for='section-894a1b4e-76b5-4418-a171-46a85744ec53' 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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      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 140, longitude: 160, time: 140)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 20,
     "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(20,27))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "50897563",
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   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (latitude: 140, longitude: 160)&gt;\n",
       "array([[292.59808, 289.6434 , 285.9647 , ..., 695.0629 , 677.3037 ,\n",
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       "       [294.94772, 291.29306, 289.72025, ..., 676.7748 , 659.9599 ,\n",
       "        637.4237 ],\n",
       "       [297.81265, 294.50473, 292.0954 , ..., 649.46906, 632.54205,\n",
       "        602.3136 ],\n",
       "       ...,\n",
       "       [279.44058, 282.4002 , 285.99933, ..., 384.05627, 397.4505 ,\n",
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       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98</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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-83fdf39f-4daf-4451-b55c-d0ac610d78c5' class='xr-array-in' type='checkbox' checked><label for='section-83fdf39f-4daf-4451-b55c-d0ac610d78c5' 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>292.6 289.6 286.0 283.0 279.8 273.4 ... 386.0 399.0 407.8 424.9 435.7</span></div><div class='xr-array-data'><pre>array([[292.59808, 289.6434 , 285.9647 , ..., 695.0629 , 677.3037 ,\n",
       "        653.7089 ],\n",
       "       [294.94772, 291.29306, 289.72025, ..., 676.7748 , 659.9599 ,\n",
       "        637.4237 ],\n",
       "       [297.81265, 294.50473, 292.0954 , ..., 649.46906, 632.54205,\n",
       "        602.3136 ],\n",
       "       ...,\n",
       "       [279.44058, 282.4002 , 285.99933, ..., 384.05627, 397.4505 ,\n",
       "        406.38608],\n",
       "       [283.94922, 285.25665, 288.0227 , ..., 393.2054 , 407.29037,\n",
       "        418.18454],\n",
       "       [292.70102, 293.78732, 294.84326, ..., 407.76932, 424.941  ,\n",
       "        435.6984 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-f93222cd-0348-4ef7-9604-d32657ea19c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f93222cd-0348-4ef7-9604-d32657ea19c3' 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'>float32</div><div class='xr-var-preview xr-preview'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-e903388a-ba55-4082-9ca2-85f36251545f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e903388a-ba55-4082-9ca2-85f36251545f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4dad452-839b-44a1-89f7-6ccecb483932' class='xr-var-data-in' type='checkbox'><label for='data-d4dad452-839b-44a1-89f7-6ccecb483932' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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-67b85dcd-a8ca-46af-a1d6-e7090e1f2fbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67b85dcd-a8ca-46af-a1d6-e7090e1f2fbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae4f02da-526c-4521-a6bd-e6caf2063b8d' class='xr-var-data-in' type='checkbox'><label for='data-ae4f02da-526c-4521-a6bd-e6caf2063b8d' 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></ul></div></li><li class='xr-section-item'><input id='section-c4f15a22-4137-4000-8f46-80bcade0d8f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4f15a22-4137-4000-8f46-80bcade0d8f9' 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: 140, longitude: 160)>\n",
       "array([[292.59808, 289.6434 , 285.9647 , ..., 695.0629 , 677.3037 ,\n",
       "        653.7089 ],\n",
       "       [294.94772, 291.29306, 289.72025, ..., 676.7748 , 659.9599 ,\n",
       "        637.4237 ],\n",
       "       [297.81265, 294.50473, 292.0954 , ..., 649.46906, 632.54205,\n",
       "        602.3136 ],\n",
       "       ...,\n",
       "       [279.44058, 282.4002 , 285.99933, ..., 384.05627, 397.4505 ,\n",
       "        406.38608],\n",
       "       [283.94922, 285.25665, 288.0227 , ..., 393.2054 , 407.29037,\n",
       "        418.18454],\n",
       "       [292.70102, 293.78732, 294.84326, ..., 407.76932, 424.941  ,\n",
       "        435.6984 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98"
      ]
     },
     "execution_count": 21,
     "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": 22,
   "id": "2731cd3b",
   "metadata": {},
   "outputs": [
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       "}\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;precip&#x27; (latitude: 140, longitude: 160)&gt;\n",
       "array([[ 9.619653 ,  9.522512 ,  9.401568 , ..., 22.851358 , 22.267494 ,\n",
       "        21.491776 ],\n",
       "       [ 9.6969   ,  9.576748 ,  9.525039 , ..., 22.250105 , 21.697289 ,\n",
       "        20.956373 ],\n",
       "       [ 9.79109  ,  9.682337 ,  9.603126 , ..., 21.352385 , 20.79588  ,\n",
       "        19.802069 ],\n",
       "       ...,\n",
       "       [ 9.1870775,  9.28438  ,  9.402707 , ..., 12.626493 , 13.066852 ,\n",
       "        13.360623 ],\n",
       "       [ 9.335306 ,  9.37829  ,  9.469229 , ..., 12.927287 , 13.390353 ,\n",
       "        13.748518 ],\n",
       "       [ 9.623036 ,  9.658751 ,  9.693466 , ..., 13.406099 , 13.970648 ,\n",
       "        14.324315 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98</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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f1a9367b-e1be-4d23-9c4f-ede86f270efd' class='xr-array-in' type='checkbox' checked><label for='section-f1a9367b-e1be-4d23-9c4f-ede86f270efd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>9.62 9.523 9.402 9.304 9.198 8.988 ... 12.69 13.12 13.41 13.97 14.32</span></div><div class='xr-array-data'><pre>array([[ 9.619653 ,  9.522512 ,  9.401568 , ..., 22.851358 , 22.267494 ,\n",
       "        21.491776 ],\n",
       "       [ 9.6969   ,  9.576748 ,  9.525039 , ..., 22.250105 , 21.697289 ,\n",
       "        20.956373 ],\n",
       "       [ 9.79109  ,  9.682337 ,  9.603126 , ..., 21.352385 , 20.79588  ,\n",
       "        19.802069 ],\n",
       "       ...,\n",
       "       [ 9.1870775,  9.28438  ,  9.402707 , ..., 12.626493 , 13.066852 ,\n",
       "        13.360623 ],\n",
       "       [ 9.335306 ,  9.37829  ,  9.469229 , ..., 12.927287 , 13.390353 ,\n",
       "        13.748518 ],\n",
       "       [ 9.623036 ,  9.658751 ,  9.693466 , ..., 13.406099 , 13.970648 ,\n",
       "        14.324315 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7ed061ff-0c4d-4c36-a2b9-58efa6c1a7c1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7ed061ff-0c4d-4c36-a2b9-58efa6c1a7c1' 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'>float32</div><div class='xr-var-preview xr-preview'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-bbab4d7f-f6c7-4b31-bec9-74e88c0946b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbab4d7f-f6c7-4b31-bec9-74e88c0946b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56c578dd-d54a-4e93-8cf9-bd952a76c33d' class='xr-var-data-in' type='checkbox'><label for='data-56c578dd-d54a-4e93-8cf9-bd952a76c33d' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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-aa8d5a0a-0472-4e3f-a745-768fa68a4339' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa8d5a0a-0472-4e3f-a745-768fa68a4339' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3723ca15-9c95-48c3-b12e-ba83d316ba09' class='xr-var-data-in' type='checkbox'><label for='data-3723ca15-9c95-48c3-b12e-ba83d316ba09' 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></ul></div></li><li class='xr-section-item'><input id='section-3ca19ee9-f5dc-4899-880a-5156aeb3fdb6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ca19ee9-f5dc-4899-880a-5156aeb3fdb6' 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: 140, longitude: 160)>\n",
       "array([[ 9.619653 ,  9.522512 ,  9.401568 , ..., 22.851358 , 22.267494 ,\n",
       "        21.491776 ],\n",
       "       [ 9.6969   ,  9.576748 ,  9.525039 , ..., 22.250105 , 21.697289 ,\n",
       "        20.956373 ],\n",
       "       [ 9.79109  ,  9.682337 ,  9.603126 , ..., 21.352385 , 20.79588  ,\n",
       "        19.802069 ],\n",
       "       ...,\n",
       "       [ 9.1870775,  9.28438  ,  9.402707 , ..., 12.626493 , 13.066852 ,\n",
       "        13.360623 ],\n",
       "       [ 9.335306 ,  9.37829  ,  9.469229 , ..., 12.927287 , 13.390353 ,\n",
       "        13.748518 ],\n",
       "       [ 9.623036 ,  9.658751 ,  9.693466 , ..., 13.406099 , 13.970648 ,\n",
       "        14.324315 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean/30.4167\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "bc24ba4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting with cartopy jjas_pr_mean\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",
    " \n",
    "m1 = ax.contourf(pr_mm['longitude'][:], pr_mm['latitude'][:],pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    "\n",
    "\n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,93,1), 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",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'rain_rate mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "plt.title('CHIRPS Mean jjas precip rate in mm/day')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_chirps_jjas_mean.png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "676a1645",
   "metadata": {},
   "outputs": [
    {
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       "  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.Dataset&gt;\n",
       "Dimensions:    (latitude: 140, longitude: 160, time: 419)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2015-12-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dcc3bb10-3606-43c9-81aa-e04a2a69d6fe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dcc3bb10-3606-43c9-81aa-e04a2a69d6fe' 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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li><li><span class='xr-has-index'>time</span>: 419</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0d82f7c3-88fa-40e1-a72d-4b21c63990a6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d82f7c3-88fa-40e1-a72d-4b21c63990a6' 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'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-2ccfacb0-c560-4bd1-bd09-44ae8ef02720' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ccfacb0-c560-4bd1-bd09-44ae8ef02720' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-153ea508-28bd-4df7-9b14-322b88710d33' class='xr-var-data-in' type='checkbox'><label for='data-153ea508-28bd-4df7-9b14-322b88710d33' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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-e6e6cef3-fdf4-4a71-882b-444b75eb27f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6e6cef3-fdf4-4a71-882b-444b75eb27f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e6f1a05-b546-4220-b0e3-5cd96f1313b6' class='xr-var-data-in' type='checkbox'><label for='data-4e6f1a05-b546-4220-b0e3-5cd96f1313b6' 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'>1981-02-01 ... 2015-12-01</div><input id='attrs-410381d5-e269-4bfd-9dac-0672d6aa7cf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-410381d5-e269-4bfd-9dac-0672d6aa7cf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-758516f6-7b58-4bd3-89ff-84c9af9f7e9b' class='xr-var-data-in' type='checkbox'><label for='data-758516f6-7b58-4bd3-89ff-84c9af9f7e9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-04-01T00:00:00.000000000&#x27;, ..., &#x27;2015-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3028c1e9-6faf-461f-8746-210ba993cd9e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3028c1e9-6faf-461f-8746-210ba993cd9e' 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-09074866-80e0-4ca2-87b1-87d19c7fda26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09074866-80e0-4ca2-87b1-87d19c7fda26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a6e942a-d806-4429-a200-b210da3b5a87' class='xr-var-data-in' type='checkbox'><label for='data-1a6e942a-d806-4429-a200-b210da3b5a87' 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>[9385600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9936146-509f-44dd-89bf-ffc26ee59f1f' class='xr-section-summary-in' type='checkbox'  ><label for='section-e9936146-509f-44dd-89bf-ffc26ee59f1f' 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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      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 140, longitude: 160, time: 419)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2015-12-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "data = data.sel(longitude=slice(86,94),latitude=slice(20,27))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2c020d41",
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   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (latitude: 140, longitude: 160)&gt;\n",
       "array([[128.91599 , 127.90964 , 126.618225, ..., 284.76627 , 275.99896 ,\n",
       "        269.25116 ],\n",
       "       [130.53674 , 129.22023 , 128.35138 , ..., 277.98755 , 270.63956 ,\n",
       "        264.2491  ],\n",
       "       [132.24908 , 130.93236 , 129.58382 , ..., 270.20334 , 262.28305 ,\n",
       "        252.00252 ],\n",
       "       ...,\n",
       "       [115.86087 , 117.74231 , 119.25417 , ..., 200.56328 , 206.69228 ,\n",
       "        212.01973 ],\n",
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       "       [122.17359 , 122.7628  , 122.73258 , ..., 210.79192 , 218.28172 ,\n",
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       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98</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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4f844456-f4fa-4299-bb3b-5ca164779529' class='xr-array-in' type='checkbox' checked><label for='section-4f844456-f4fa-4299-bb3b-5ca164779529' 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>128.9 127.9 126.6 124.8 123.6 121.2 ... 199.6 205.6 210.8 218.3 223.8</span></div><div class='xr-array-data'><pre>array([[128.91599 , 127.90964 , 126.618225, ..., 284.76627 , 275.99896 ,\n",
       "        269.25116 ],\n",
       "       [130.53674 , 129.22023 , 128.35138 , ..., 277.98755 , 270.63956 ,\n",
       "        264.2491  ],\n",
       "       [132.24908 , 130.93236 , 129.58382 , ..., 270.20334 , 262.28305 ,\n",
       "        252.00252 ],\n",
       "       ...,\n",
       "       [115.86087 , 117.74231 , 119.25417 , ..., 200.56328 , 206.69228 ,\n",
       "        212.01973 ],\n",
       "       [118.15063 , 119.01423 , 119.880035, ..., 204.71297 , 211.46356 ,\n",
       "        217.20477 ],\n",
       "       [122.17359 , 122.7628  , 122.73258 , ..., 210.79192 , 218.28172 ,\n",
       "        223.78409 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d7dd6af6-58c6-4208-ab2d-204e66ea6b85' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7dd6af6-58c6-4208-ab2d-204e66ea6b85' 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'>float32</div><div class='xr-var-preview xr-preview'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-f05d2f44-2365-4193-bba2-40cd076d3b90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f05d2f44-2365-4193-bba2-40cd076d3b90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-212be56b-05ee-4b0a-b7e8-ff5cfde47058' class='xr-var-data-in' type='checkbox'><label for='data-212be56b-05ee-4b0a-b7e8-ff5cfde47058' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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-81580cbe-ded7-4e9c-a6c4-e7fcfe86278e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81580cbe-ded7-4e9c-a6c4-e7fcfe86278e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fec102be-6963-4ce4-bd69-17a7631b3598' class='xr-var-data-in' type='checkbox'><label for='data-fec102be-6963-4ce4-bd69-17a7631b3598' 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></ul></div></li><li class='xr-section-item'><input id='section-6393914a-e672-4ba6-88d2-1ffe4c006a19' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6393914a-e672-4ba6-88d2-1ffe4c006a19' 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: 140, longitude: 160)>\n",
       "array([[128.91599 , 127.90964 , 126.618225, ..., 284.76627 , 275.99896 ,\n",
       "        269.25116 ],\n",
       "       [130.53674 , 129.22023 , 128.35138 , ..., 277.98755 , 270.63956 ,\n",
       "        264.2491  ],\n",
       "       [132.24908 , 130.93236 , 129.58382 , ..., 270.20334 , 262.28305 ,\n",
       "        252.00252 ],\n",
       "       ...,\n",
       "       [115.86087 , 117.74231 , 119.25417 , ..., 200.56328 , 206.69228 ,\n",
       "        212.01973 ],\n",
       "       [118.15063 , 119.01423 , 119.880035, ..., 204.71297 , 211.46356 ,\n",
       "        217.20477 ],\n",
       "       [122.17359 , 122.7628  , 122.73258 , ..., 210.79192 , 218.28172 ,\n",
       "        223.78409 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.precip.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a4d84f93",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  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;precip&#x27; (latitude: 140, longitude: 160)&gt;\n",
       "array([[4.2384267, 4.2053404, 4.1628823, ..., 9.362384 , 9.074138 ,\n",
       "        8.852287 ],\n",
       "       [4.2917128, 4.2484293, 4.219864 , ..., 9.139517 , 8.897934 ,\n",
       "        8.687833 ],\n",
       "       [4.3480105, 4.30472  , 4.260383 , ..., 8.883592 , 8.623194 ,\n",
       "        8.285195 ],\n",
       "       ...,\n",
       "       [3.809208 , 3.871065 , 3.9207711, ..., 6.5940056, 6.7955112,\n",
       "        6.9706645],\n",
       "       [3.8844893, 3.9128823, 3.9413478, ..., 6.730437 , 6.952379 ,\n",
       "        7.141135 ],\n",
       "       [4.016754 , 4.0361257, 4.0351324, ..., 6.930297 , 7.1765428,\n",
       "        7.357446 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98</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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ed3f4d95-b21a-46d4-89f2-49f8ed029939' class='xr-array-in' type='checkbox' checked><label for='section-ed3f4d95-b21a-46d4-89f2-49f8ed029939' 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>4.238 4.205 4.163 4.105 4.065 3.983 ... 6.561 6.76 6.93 7.177 7.357</span></div><div class='xr-array-data'><pre>array([[4.2384267, 4.2053404, 4.1628823, ..., 9.362384 , 9.074138 ,\n",
       "        8.852287 ],\n",
       "       [4.2917128, 4.2484293, 4.219864 , ..., 9.139517 , 8.897934 ,\n",
       "        8.687833 ],\n",
       "       [4.3480105, 4.30472  , 4.260383 , ..., 8.883592 , 8.623194 ,\n",
       "        8.285195 ],\n",
       "       ...,\n",
       "       [3.809208 , 3.871065 , 3.9207711, ..., 6.5940056, 6.7955112,\n",
       "        6.9706645],\n",
       "       [3.8844893, 3.9128823, 3.9413478, ..., 6.730437 , 6.952379 ,\n",
       "        7.141135 ],\n",
       "       [4.016754 , 4.0361257, 4.0351324, ..., 6.930297 , 7.1765428,\n",
       "        7.357446 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c61edda7-e259-47eb-98fd-884626e95d0d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c61edda7-e259-47eb-98fd-884626e95d0d' 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'>float32</div><div class='xr-var-preview xr-preview'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-b2e08e1d-53f6-4289-b6e5-6a8efe277255' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2e08e1d-53f6-4289-b6e5-6a8efe277255' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c5978aa-2db6-46bf-8ef4-8d6720a2bb68' class='xr-var-data-in' type='checkbox'><label for='data-2c5978aa-2db6-46bf-8ef4-8d6720a2bb68' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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-f03ea8bd-3b95-4037-94da-b6973a8d59f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f03ea8bd-3b95-4037-94da-b6973a8d59f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcdf5e11-eb20-4ba1-b092-0946d2d9142c' class='xr-var-data-in' type='checkbox'><label for='data-dcdf5e11-eb20-4ba1-b092-0946d2d9142c' 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></ul></div></li><li class='xr-section-item'><input id='section-f8d01f7d-e2e4-4c16-8f5a-961419488183' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f8d01f7d-e2e4-4c16-8f5a-961419488183' 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: 140, longitude: 160)>\n",
       "array([[4.2384267, 4.2053404, 4.1628823, ..., 9.362384 , 9.074138 ,\n",
       "        8.852287 ],\n",
       "       [4.2917128, 4.2484293, 4.219864 , ..., 9.139517 , 8.897934 ,\n",
       "        8.687833 ],\n",
       "       [4.3480105, 4.30472  , 4.260383 , ..., 8.883592 , 8.623194 ,\n",
       "        8.285195 ],\n",
       "       ...,\n",
       "       [3.809208 , 3.871065 , 3.9207711, ..., 6.5940056, 6.7955112,\n",
       "        6.9706645],\n",
       "       [3.8844893, 3.9128823, 3.9413478, ..., 6.730437 , 6.952379 ,\n",
       "        7.141135 ],\n",
       "       [4.016754 , 4.0361257, 4.0351324, ..., 6.930297 , 7.1765428,\n",
       "        7.357446 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting from mm/month to mm/day\n",
    "\n",
    "annual_pr_mm = annual_mean/30.416\n",
    "annual_pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a196b8fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(annual_pr_mm['longitude'][:], annual_pr_mm['latitude'][:],annual_pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',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, 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",
    "#ax.add_feature(cfeature.STATES)\n",
    "plt.title('CHIRPS Annual mean precip rate in mm/day')\n",
    "\n",
    "\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_chirps_annual_mean.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a8000ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "72e02c25",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12936f4d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eeb3a74f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52938f82",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12f9aa74",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}