Seasonal Bias(gcm Miroc5-chirps).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 496, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime...</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-75e372c3-473a-440c-9eef-44c60e3ea40e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-75e372c3-473a-440c-9eef-44c60e3ea40e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 496</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a2025af8-fc11-4554-a53c-14c7e2db0ff2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a2025af8-fc11-4554-a53c-14c7e2db0ff2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2022-04-01</div><input id='attrs-d09c5a1d-f7b8-4e24-b8e9-d46bc66f8fda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d09c5a1d-f7b8-4e24-b8e9-d46bc66f8fda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55023d62-4473-4cef-8a09-bbe0857127ee' class='xr-var-data-in' type='checkbox'><label for='data-55023d62-4473-4cef-8a09-bbe0857127ee' 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><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-e3b240c9-8c37-4474-9d17-aa267169c856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3b240c9-8c37-4474-9d17-aa267169c856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21a66942-faed-461c-b475-17d915a1e37e' class='xr-var-data-in' type='checkbox'><label for='data-21a66942-faed-461c-b475-17d915a1e37e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-436ef858-4c9c-481c-aaae-a8c5e8d4d38f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-436ef858-4c9c-481c-aaae-a8c5e8d4d38f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f4bd671-f1c6-43ee-8df1-837f6745803a' class='xr-var-data-in' type='checkbox'><label for='data-2f4bd671-f1c6-43ee-8df1-837f6745803a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0595e402-9d5b-4229-8007-ac7fa4f64bf0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0595e402-9d5b-4229-8007-ac7fa4f64bf0' 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, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8075849a-c250-4a74-aedc-6a5e0cb247c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8075849a-c250-4a74-aedc-6a5e0cb247c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf5e7587-1916-4a7f-a849-aa7203932946' class='xr-var-data-in' type='checkbox'><label for='data-cf5e7587-1916-4a7f-a849-aa7203932946' 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>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm/month</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>[634880 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87dca78a-ea0f-4457-b326-4ca6e94dc61a' class='xr-section-summary-in' type='checkbox'  ><label for='section-87dca78a-ea0f-4457-b326-4ca6e94dc61a' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-v2.0.monthly.nc chirps-v2.0.monthly_remap.nc\n",
       "created by Climate Hazards Group</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</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>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><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 496, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/chirps/chirps-v2.0.monthly_remap.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "800e4d90",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 383, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2012-12-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime...</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-8f7d2ed1-2604-4099-812f-004e75c7f4dd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f7d2ed1-2604-4099-812f-004e75c7f4dd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 383</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-25df1f22-9a80-4e88-8e65-8e1cd7e7dc43' class='xr-section-summary-in' type='checkbox'  checked><label for='section-25df1f22-9a80-4e88-8e65-8e1cd7e7dc43' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-02-01 ... 2012-12-01</div><input id='attrs-ad7af742-0bf9-43a6-9f29-652d70b7957e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad7af742-0bf9-43a6-9f29-652d70b7957e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66f8e8e1-5215-48a1-a3c0-470221a2521d' class='xr-var-data-in' type='checkbox'><label for='data-66f8e8e1-5215-48a1-a3c0-470221a2521d' 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;2012-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-11-01T00:00:00.000000000&#x27;, &#x27;2012-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-9d37a183-3127-414c-804d-048f1be7fa7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d37a183-3127-414c-804d-048f1be7fa7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-207d3615-8ee4-48bd-8a45-a62a8b32dd57' class='xr-var-data-in' type='checkbox'><label for='data-207d3615-8ee4-48bd-8a45-a62a8b32dd57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-9cc0a398-f47a-4006-b885-f64089d4f882' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cc0a398-f47a-4006-b885-f64089d4f882' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca95abe3-8d89-459f-bc42-8a92d78b1743' class='xr-var-data-in' type='checkbox'><label for='data-ca95abe3-8d89-459f-bc42-8a92d78b1743' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0787baa0-ae10-41dc-9d25-46d6364ae2d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0787baa0-ae10-41dc-9d25-46d6364ae2d2' 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, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70f8fee1-ea3e-4fde-8f28-eff1e179687c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70f8fee1-ea3e-4fde-8f28-eff1e179687c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9ecc871-c376-46f1-b5fc-de995074860e' class='xr-var-data-in' type='checkbox'><label for='data-e9ecc871-c376-46f1-b5fc-de995074860e' 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>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm/month</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>[490240 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f23300ce-6bb2-48e7-a636-ec138ed93380' class='xr-section-summary-in' type='checkbox'  ><label for='section-f23300ce-6bb2-48e7-a636-ec138ed93380' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-v2.0.monthly.nc chirps-v2.0.monthly_remap.nc\n",
       "created by Climate Hazards Group</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</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>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><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 383, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2012-12-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2012-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
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       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 128, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2012-09-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime...</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-3e12ba65-7348-4bc9-ba4a-68b3510dadbe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3e12ba65-7348-4bc9-ba4a-68b3510dadbe' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0d822b19-d9e5-4e4d-8004-522ef25bc5b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d822b19-d9e5-4e4d-8004-522ef25bc5b2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2012-09-01</div><input id='attrs-6791b9f4-afa3-4d55-9b4b-e88d73fa05a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6791b9f4-afa3-4d55-9b4b-e88d73fa05a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0f19e73-e1a1-4c32-ae63-04aea8d47504' class='xr-var-data-in' type='checkbox'><label for='data-f0f19e73-e1a1-4c32-ae63-04aea8d47504' 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",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-09554144-042d-4385-954d-71de095d95ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09554144-042d-4385-954d-71de095d95ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d61e16b9-c4a6-4ba1-83b8-7d658223d210' class='xr-var-data-in' type='checkbox'><label for='data-d61e16b9-c4a6-4ba1-83b8-7d658223d210' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-2ffe74f9-7ca4-4323-b165-66657937957b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ffe74f9-7ca4-4323-b165-66657937957b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f3f53c4-5ee3-4b9a-8159-10215e1ae5c1' class='xr-var-data-in' type='checkbox'><label for='data-5f3f53c4-5ee3-4b9a-8159-10215e1ae5c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-85950415-6a34-44f3-a1df-bf2a7792ffcd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-85950415-6a34-44f3-a1df-bf2a7792ffcd' 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, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20aada33-8661-41ac-893a-c74e9cf44974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20aada33-8661-41ac-893a-c74e9cf44974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be1ab87c-7c3e-48ff-874c-cfd03a4d91d0' class='xr-var-data-in' type='checkbox'><label for='data-be1ab87c-7c3e-48ff-874c-cfd03a4d91d0' 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>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm/month</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>[163840 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fee9c8f2-95b6-4667-97f2-968e496baa07' class='xr-section-summary-in' type='checkbox'  ><label for='section-fee9c8f2-95b6-4667-97f2-968e496baa07' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-v2.0.monthly.nc chirps-v2.0.monthly_remap.nc\n",
       "created by Climate Hazards Group</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</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>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><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 128, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2012-09-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "}\n",
       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       ...,\n",
       "       [252.7361 , 277.59625, 337.37555, ..., 205.79149, 274.6383 ,\n",
       "        400.83365],\n",
       "       [316.59204, 305.7694 , 338.14856, ..., 159.9573 , 248.512  ,\n",
       "        292.32617],\n",
       "       [301.31995, 273.5806 , 230.92966, ..., 223.41127, 254.84564,\n",
       "        288.95694]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e0eac2a4-08de-4c5e-a2e2-3616db6ada9a' class='xr-array-in' type='checkbox' checked><label for='section-e0eac2a4-08de-4c5e-a2e2-3616db6ada9a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 74.4 104.1 153.0 223.4 254.8 289.0</span></div><div class='xr-array-data'><pre>array([[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       ...,\n",
       "       [252.7361 , 277.59625, 337.37555, ..., 205.79149, 274.6383 ,\n",
       "        400.83365],\n",
       "       [316.59204, 305.7694 , 338.14856, ..., 159.9573 , 248.512  ,\n",
       "        292.32617],\n",
       "       [301.31995, 273.5806 , 230.92966, ..., 223.41127, 254.84564,\n",
       "        288.95694]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c952a4fa-5db2-4abd-8ee2-7ccc388a12d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c952a4fa-5db2-4abd-8ee2-7ccc388a12d8' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-f94b6703-19d0-4b54-8373-d213bd93db12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f94b6703-19d0-4b54-8373-d213bd93db12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2396a48-9a7e-4065-a491-77dc36a0870c' class='xr-var-data-in' type='checkbox'><label for='data-e2396a48-9a7e-4065-a491-77dc36a0870c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-6231eb00-5da0-454d-986f-1785be3d9f36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6231eb00-5da0-454d-986f-1785be3d9f36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa821a77-a405-4b09-ad43-1746135dc8a0' class='xr-var-data-in' type='checkbox'><label for='data-fa821a77-a405-4b09-ad43-1746135dc8a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-74bb740f-36b9-4bea-b091-c86540431d45' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-74bb740f-36b9-4bea-b091-c86540431d45' 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' (lat: 40, lon: 32)>\n",
       "array([[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       ...,\n",
       "       [252.7361 , 277.59625, 337.37555, ..., 205.79149, 274.6383 ,\n",
       "        400.83365],\n",
       "       [316.59204, 305.7694 , 338.14856, ..., 159.9573 , 248.512  ,\n",
       "        292.32617],\n",
       "       [301.31995, 273.5806 , 230.92966, ..., 223.41127, 254.84564,\n",
       "        288.95694]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 7,
     "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": 8,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean/30.4167\n",
    "\n",
    "\n",
    "\n",
    "chirps = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2012-12-16 12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-dd0773ca-7e54-4ad9-9ba6-aae768a3c725' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd0773ca-7e54-4ad9-9ba6-aae768a3c725' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1956</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8b3540bc-37be-488d-bca5-bcb2735f28eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b3540bc-37be-488d-bca5-bcb2735f28eb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-16 12:00:00 ... 2012-12-...</div><input id='attrs-a09f5212-34e5-444f-a174-0152e869e258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a09f5212-34e5-444f-a174-0152e869e258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9689cd5f-949c-45cc-b62d-9b2df9560081' class='xr-var-data-in' type='checkbox'><label for='data-9689cd5f-949c-45cc-b62d-9b2df9560081' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2012, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2012, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2012, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-255f09bd-eb09-4e76-b448-a19a0d0bf8f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-255f09bd-eb09-4e76-b448-a19a0d0bf8f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad1c8f6e-86de-426b-aa57-7cd9cf765cc4' class='xr-var-data-in' type='checkbox'><label for='data-ad1c8f6e-86de-426b-aa57-7cd9cf765cc4' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 2.812 ... 357.2 358.6</div><input id='attrs-e41134f4-ff15-409f-bbfe-44c0a1729504' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e41134f4-ff15-409f-bbfe-44c0a1729504' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a38b81da-61a4-4300-854f-a91a0e72c3df' class='xr-var-data-in' type='checkbox'><label for='data-a38b81da-61a4-4300-854f-a91a0e72c3df' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb6ec7ae-8e38-4162-80fc-ca8cd413ace1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bb6ec7ae-8e38-4162-80fc-ca8cd413ace1' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9acc8367-0f38-4428-9d22-1347523ee1af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9acc8367-0f38-4428-9d22-1347523ee1af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec8a5e2b-1640-4b08-930a-010091fc4b54' class='xr-var-data-in' type='checkbox'><label for='data-ec8a5e2b-1640-4b08-930a-010091fc4b54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2013, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4018647-e12e-4074-aeab-727e570b59ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4018647-e12e-4074-aeab-727e570b59ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e092d428-b7bd-4bf4-abb5-644a4de3b7e4' class='xr-var-data-in' type='checkbox'><label for='data-e092d428-b7bd-4bf4-abb5-644a4de3b7e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c9923cc-7580-4ed6-9ab0-71960a5727c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c9923cc-7580-4ed6-9ab0-71960a5727c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e930a183-6c1e-4193-8a58-b88c0b3be8eb' class='xr-var-data-in' type='checkbox'><label for='data-e930a183-6c1e-4193-8a58-b88c0b3be8eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15320811-d872-43ab-babd-4921a637ee2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15320811-d872-43ab-babd-4921a637ee2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b8dc33-9b6c-4c33-bf98-632bf1a8e0b2' class='xr-var-data-in' type='checkbox'><label for='data-e9b8dc33-9b6c-4c33-bf98-632bf1a8e0b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[64094208 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5dffa10c-c318-45bd-bf25-edcb2fabc450' class='xr-section-summary-in' type='checkbox'  ><label for='section-5dffa10c-c318-45bd-bf25-edcb2fabc450' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
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       "<xarray.Dataset>\n",
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       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2012-12-16 12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening miroc5 data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/GCM/MIROC5/pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5cbdbd2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mkibria/miniconda3/envs/esp-sp/lib/python3.9/site-packages/xarray/coding/times.py:351: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n",
      "/tmp/ipykernel_27616/3137857967.py:3: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
      "  datetimeindex = data.indexes['time'].to_datetimeindex()\n"
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       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2012-12-16T12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-427b6ea7-d252-4e00-9556-83d940348a41' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-427b6ea7-d252-4e00-9556-83d940348a41' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1956</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-642b66e6-f288-4c71-8b77-3942876a4d3d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-642b66e6-f288-4c71-8b77-3942876a4d3d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2012-12-...</div><input id='attrs-47cfbd98-fe4d-4d11-965e-5df2b60012bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47cfbd98-fe4d-4d11-965e-5df2b60012bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9568c55c-bcf5-4aa5-ab6a-38eac51ba84f' class='xr-var-data-in' type='checkbox'><label for='data-9568c55c-bcf5-4aa5-ab6a-38eac51ba84f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2012-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-11-16T00:00:00.000000000&#x27;, &#x27;2012-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-ad55deae-c777-4fd8-bb85-b84c40bccd6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad55deae-c777-4fd8-bb85-b84c40bccd6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8978941-4e98-4b78-ad13-91a151fc9db2' class='xr-var-data-in' type='checkbox'><label for='data-c8978941-4e98-4b78-ad13-91a151fc9db2' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 2.812 ... 357.2 358.6</div><input id='attrs-594813d5-4ed5-4ead-8a28-558c651bf012' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-594813d5-4ed5-4ead-8a28-558c651bf012' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38aff028-eb0a-4333-bcbb-d59214099558' class='xr-var-data-in' type='checkbox'><label for='data-38aff028-eb0a-4333-bcbb-d59214099558' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99056eea-52eb-4495-966e-d82693017af4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-99056eea-52eb-4495-966e-d82693017af4' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-01 00:00:00 ... 2013-01-...</div><input id='attrs-dc461d1b-10fb-4f57-98b7-5cd0eb252c85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc461d1b-10fb-4f57-98b7-5cd0eb252c85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f56340c-b33c-47f8-8e72-2c1c1e52bfc1' class='xr-var-data-in' type='checkbox'><label for='data-8f56340c-b33c-47f8-8e72-2c1c1e52bfc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2013, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-eff007bc-85ac-42a4-ba74-19d40265d8d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eff007bc-85ac-42a4-ba74-19d40265d8d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df7ee9cb-547b-460c-a2af-a37538d5caf6' class='xr-var-data-in' type='checkbox'><label for='data-df7ee9cb-547b-460c-a2af-a37538d5caf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-2aca0e0e-8304-4be1-a49a-3088859c3fa7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2aca0e0e-8304-4be1-a49a-3088859c3fa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4281f7c9-cbf8-464c-8cc6-d01974dd1ba0' class='xr-var-data-in' type='checkbox'><label for='data-4281f7c9-cbf8-464c-8cc6-d01974dd1ba0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f46aa2d1-438e-4e4d-a17a-af5281e7717a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f46aa2d1-438e-4e4d-a17a-af5281e7717a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae53c59-f575-4c3b-982c-321680f0e7d4' class='xr-var-data-in' type='checkbox'><label for='data-3ae53c59-f575-4c3b-982c-321680f0e7d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[64094208 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0372f032-b9dc-4d72-a4c4-8e0598cac89d' class='xr-section-summary-in' type='checkbox'  ><label for='section-0372f032-b9dc-4d72-a4c4-8e0598cac89d' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2012-12-16T12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing time dim to datetime64[ns] dtype\n",
    "\n",
    "datetimeindex = data.indexes['time'].to_datetimeindex()\n",
    "data['time']=datetimeindex\n",
    "data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 383, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2012-11-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-01-01 00:00:00 ... 2012-12-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-5d393419-c771-4a5e-9f49-3bf8e58085ea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5d393419-c771-4a5e-9f49-3bf8e58085ea' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 383</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1d5d90ea-6c87-47cc-879f-eb8f4227d233' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d5d90ea-6c87-47cc-879f-eb8f4227d233' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-16T12:00:00 ... 2012-11-16</div><input id='attrs-8f7332dd-6bcf-4c13-984e-f844ea63eb5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8f7332dd-6bcf-4c13-984e-f844ea63eb5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5117fe9-3a27-4b6b-9088-9d73a5d9da4c' class='xr-var-data-in' type='checkbox'><label for='data-c5117fe9-3a27-4b6b-9088-9d73a5d9da4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#x27;, ..., &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-10-16T12:00:00.000000000&#x27;, &#x27;2012-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-7fbd42f6-e4ca-4707-a3c2-cba40cdf87cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fbd42f6-e4ca-4707-a3c2-cba40cdf87cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c07d72f0-bae8-4ac3-b1b5-c60f87e4e01b' class='xr-var-data-in' type='checkbox'><label for='data-c07d72f0-bae8-4ac3-b1b5-c60f87e4e01b' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 2.812 ... 357.2 358.6</div><input id='attrs-434bb35f-0877-4273-a502-d02482b60458' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-434bb35f-0877-4273-a502-d02482b60458' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d88df0e8-d1ad-4407-a29e-66d9a0b22364' class='xr-var-data-in' type='checkbox'><label for='data-d88df0e8-d1ad-4407-a29e-66d9a0b22364' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4698cc29-3301-4001-b4a1-c25841ac45c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4698cc29-3301-4001-b4a1-c25841ac45c6' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1981-01-01 00:00:00 ... 2012-12-...</div><input id='attrs-a5a4c9b4-d95a-4597-9a21-c036bb4165fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a5a4c9b4-d95a-4597-9a21-c036bb4165fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82d1ca4e-aa13-4f63-8d68-d3752f7b0158' class='xr-var-data-in' type='checkbox'><label for='data-82d1ca4e-aa13-4f63-8d68-d3752f7b0158' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1981, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-18ad6464-d76a-4ac2-a160-1d5241ecfc97' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18ad6464-d76a-4ac2-a160-1d5241ecfc97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43cb208d-d72f-4607-97b8-76ade3521520' class='xr-var-data-in' type='checkbox'><label for='data-43cb208d-d72f-4607-97b8-76ade3521520' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-c5d5eaf2-2a86-4203-94e1-29ca1953edbc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5d5eaf2-2a86-4203-94e1-29ca1953edbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c974cb82-5846-470f-b0a4-9147c79b2f01' class='xr-var-data-in' type='checkbox'><label for='data-c974cb82-5846-470f-b0a4-9147c79b2f01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eee961b8-aee7-477a-a42b-2f4169f7b2db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eee961b8-aee7-477a-a42b-2f4169f7b2db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d38f9c31-51a5-42ca-a954-29f50e1cf8ae' class='xr-var-data-in' type='checkbox'><label for='data-d38f9c31-51a5-42ca-a954-29f50e1cf8ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[12550144 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e70f498-184f-41d8-8ca5-b8c4c81f0c79' class='xr-section-summary-in' type='checkbox'  ><label for='section-8e70f498-184f-41d8-8ca5-b8c4c81f0c79' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 383, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2012-11-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-01-01 00:00:00 ... 2012-12-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 11,
     "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','2012-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
    {
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       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 128, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2012-09-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2012-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-f040a0e8-15e7-49c0-88b7-2d6d71c5e095' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f040a0e8-15e7-49c0-88b7-2d6d71c5e095' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a77e349a-d496-48c2-a7cd-5228d085eb82' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a77e349a-d496-48c2-a7cd-5228d085eb82' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2012-09-16</div><input id='attrs-a1bcda22-04a6-417e-acf9-dc7faa150edb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1bcda22-04a6-417e-acf9-dc7faa150edb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e837469-0c54-4cfc-bfb7-a0a0ce08c65a' class='xr-var-data-in' type='checkbox'><label for='data-5e837469-0c54-4cfc-bfb7-a0a0ce08c65a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-07c5026e-fddf-4e07-aa34-6add9c038be5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07c5026e-fddf-4e07-aa34-6add9c038be5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e09391aa-93ac-463d-b624-5e39bc7946e2' class='xr-var-data-in' type='checkbox'><label for='data-e09391aa-93ac-463d-b624-5e39bc7946e2' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 2.812 ... 357.2 358.6</div><input id='attrs-88d9bec2-a2f7-4cd7-9f47-eb69332d3a1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88d9bec2-a2f7-4cd7-9f47-eb69332d3a1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2524309-5430-49d2-9430-3a7f0b6bca63' class='xr-var-data-in' type='checkbox'><label for='data-e2524309-5430-49d2-9430-3a7f0b6bca63' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-04575162-dbcc-4562-b625-91a28d27db91' class='xr-section-summary-in' type='checkbox'  checked><label for='section-04575162-dbcc-4562-b625-91a28d27db91' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1981-06-01 00:00:00 ... 2012-10-...</div><input id='attrs-ef028549-0ecf-4a51-a735-0480eeb251a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef028549-0ecf-4a51-a735-0480eeb251a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6772b04d-1e4c-4a6d-a62f-79fcfe0ec1ad' class='xr-var-data-in' type='checkbox'><label for='data-6772b04d-1e4c-4a6d-a62f-79fcfe0ec1ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1981, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-cb5e28d1-440f-4549-b569-c347f1bad1fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb5e28d1-440f-4549-b569-c347f1bad1fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-697fd69e-9756-4738-9c09-99b77e494b9f' class='xr-var-data-in' type='checkbox'><label for='data-697fd69e-9756-4738-9c09-99b77e494b9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-b9ea8d2b-1227-4b58-b9e3-57dff3101641' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9ea8d2b-1227-4b58-b9e3-57dff3101641' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c40d77df-835f-427a-ab4e-b8563ac288cf' class='xr-var-data-in' type='checkbox'><label for='data-c40d77df-835f-427a-ab4e-b8563ac288cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-590491d0-03b4-4e59-8dab-15a3ea27e157' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-590491d0-03b4-4e59-8dab-15a3ea27e157' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebe96ec9-6dff-4315-8d0f-164bc4378d9f' class='xr-var-data-in' type='checkbox'><label for='data-ebe96ec9-6dff-4315-8d0f-164bc4378d9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[4194304 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d443314-f12f-486d-ab45-f4101142f472' class='xr-section-summary-in' type='checkbox'  ><label for='section-1d443314-f12f-486d-ab45-f4101142f472' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 128, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2012-09-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2012-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 12,
     "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": 13,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "108af580",
   "metadata": {},
   "outputs": [
    {
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       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 128, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2012-09-16\n",
       "  * lon        (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2012-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 17.43 18.83 17.68 19.08 ... 28.33 27.18 28.58\n",
       "    lon_bnds   (lon, bnds) float64 85.42 86.83 85.67 87.08 ... 94.33 93.17 94.58\n",
       "    pr         (time, lat, lon) float64 0.0001728 0.0001694 ... 0.0001003\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-eb85742f-1bf2-44f0-857a-3f65aabf98ab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eb85742f-1bf2-44f0-857a-3f65aabf98ab' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a594b522-dc3a-47aa-b7cf-5ddc24fb67b8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a594b522-dc3a-47aa-b7cf-5ddc24fb67b8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2012-09-16</div><input id='attrs-852ad1d8-b60a-43fb-9d75-113c9d701b28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-852ad1d8-b60a-43fb-9d75-113c9d701b28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d064b25-21c1-4b1e-a760-9a1ddfcf21a5' class='xr-var-data-in' type='checkbox'><label for='data-2d064b25-21c1-4b1e-a760-9a1ddfcf21a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-649dcbf6-86e4-4d38-99d0-4a552733696d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-649dcbf6-86e4-4d38-99d0-4a552733696d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5837abd6-a079-4713-a880-8b28f494359e' class='xr-var-data-in' type='checkbox'><label for='data-5837abd6-a079-4713-a880-8b28f494359e' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-249d2e86-aac3-4770-80ea-dd9f1c6ec328' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-249d2e86-aac3-4770-80ea-dd9f1c6ec328' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cde228c-a372-429a-82fc-45623a6af3ad' class='xr-var-data-in' type='checkbox'><label for='data-2cde228c-a372-429a-82fc-45623a6af3ad' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7c320992-ec31-401d-9e76-fb4d9cd8e3ae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c320992-ec31-401d-9e76-fb4d9cd8e3ae' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1981-06-01 00:00:00 ... 2012-10-...</div><input id='attrs-5ab640d0-c5e0-4f3b-a803-99f4c7962895' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ab640d0-c5e0-4f3b-a803-99f4c7962895' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e6d2cbf-f2f9-43a7-994d-e3866d580659' class='xr-var-data-in' type='checkbox'><label for='data-0e6d2cbf-f2f9-43a7-994d-e3866d580659' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1981, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>17.43 18.83 17.68 ... 27.18 28.58</div><input id='attrs-6f1b4c4a-8def-4590-a823-3c9726fa9da7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f1b4c4a-8def-4590-a823-3c9726fa9da7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f399370-98f1-4e7b-98bd-350671af6e7c' class='xr-var-data-in' type='checkbox'><label for='data-6f399370-98f1-4e7b-98bd-350671af6e7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[17.42506467, 18.82586977],\n",
       "       [17.67507154, 19.07587671],\n",
       "       [17.9250784 , 19.32588365],\n",
       "       [18.17508526, 19.57589059],\n",
       "       [18.42509222, 19.82589764],\n",
       "       [18.6750992 , 20.0759047 ],\n",
       "       [18.92510617, 20.32591176],\n",
       "       [19.17511315, 20.57591882],\n",
       "       [19.42512012, 20.82592588],\n",
       "       [19.67512713, 21.07593298],\n",
       "       [19.92513423, 21.32594017],\n",
       "       [20.17514133, 21.57594736],\n",
       "       [20.42514843, 21.82595456],\n",
       "       [20.67515553, 22.07596175],\n",
       "       [20.92516263, 22.32596894],\n",
       "       [21.17516982, 22.57597623],\n",
       "       [21.42517705, 22.82598357],\n",
       "       [21.67518429, 23.07599091],\n",
       "       [21.92519153, 23.32599825],\n",
       "       [22.17519876, 23.57600558],\n",
       "       [22.42520601, 23.82601293],\n",
       "       [22.67521339, 24.07602043],\n",
       "       [22.92522077, 24.32602792],\n",
       "       [23.17522816, 24.57603542],\n",
       "       [23.42523554, 24.82604292],\n",
       "       [23.67524293, 25.07605041],\n",
       "       [23.92525039, 25.32605799],\n",
       "       [24.17525794, 25.57606566],\n",
       "       [24.42526548, 25.82607333],\n",
       "       [24.67527303, 26.076081  ],\n",
       "       [24.92528058, 26.32608867],\n",
       "       [25.17528813, 26.57609634],\n",
       "       [25.42529582, 26.82610416],\n",
       "       [25.67530355, 27.07611202],\n",
       "       [25.92531127, 27.32611988],\n",
       "       [26.175319  , 27.57612774],\n",
       "       [26.42532672, 27.8261356 ],\n",
       "       [26.6753345 , 28.0761435 ],\n",
       "       [26.92534242, 28.32615157],\n",
       "       [27.17535033, 28.57615963]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>85.42 86.83 85.67 ... 93.17 94.58</div><input id='attrs-b7d4b427-3498-4080-961c-0ea6df3b0970' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7d4b427-3498-4080-961c-0ea6df3b0970' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-773fdfe4-8efb-4538-a0ab-0e732a32148a' class='xr-var-data-in' type='checkbox'><label for='data-773fdfe4-8efb-4538-a0ab-0e732a32148a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[85.421875, 86.828125],\n",
       "       [85.671875, 87.078125],\n",
       "       [85.921875, 87.328125],\n",
       "       [86.171875, 87.578125],\n",
       "       [86.421875, 87.828125],\n",
       "       [86.671875, 88.078125],\n",
       "       [86.921875, 88.328125],\n",
       "       [87.171875, 88.578125],\n",
       "       [87.421875, 88.828125],\n",
       "       [87.671875, 89.078125],\n",
       "       [87.921875, 89.328125],\n",
       "       [88.171875, 89.578125],\n",
       "       [88.421875, 89.828125],\n",
       "       [88.671875, 90.078125],\n",
       "       [88.921875, 90.328125],\n",
       "       [89.171875, 90.578125],\n",
       "       [89.421875, 90.828125],\n",
       "       [89.671875, 91.078125],\n",
       "       [89.921875, 91.328125],\n",
       "       [90.171875, 91.578125],\n",
       "       [90.421875, 91.828125],\n",
       "       [90.671875, 92.078125],\n",
       "       [90.921875, 92.328125],\n",
       "       [91.171875, 92.578125],\n",
       "       [91.421875, 92.828125],\n",
       "       [91.671875, 93.078125],\n",
       "       [91.921875, 93.328125],\n",
       "       [92.171875, 93.578125],\n",
       "       [92.421875, 93.828125],\n",
       "       [92.671875, 94.078125],\n",
       "       [92.921875, 94.328125],\n",
       "       [93.171875, 94.578125]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0001728 0.0001694 ... 0.0001003</div><input id='attrs-020c22d7-b162-4f7d-9eb0-26432aed2250' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-020c22d7-b162-4f7d-9eb0-26432aed2250' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5fdfeea-c838-47a2-bb57-b57c5af88614' class='xr-var-data-in' type='checkbox'><label for='data-c5fdfeea-c838-47a2-bb57-b57c5af88614' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[1.72840155e-04, 1.69447469e-04, 1.66054784e-04, ...,\n",
       "         1.87484037e-04, 1.77985256e-04, 1.68486475e-04],\n",
       "        [1.68500755e-04, 1.65663715e-04, 1.62826676e-04, ...,\n",
       "         1.88071676e-04, 1.76662178e-04, 1.65252681e-04],\n",
       "        [1.64161354e-04, 1.61879961e-04, 1.59598568e-04, ...,\n",
       "         1.88659314e-04, 1.75339101e-04, 1.62018887e-04],\n",
       "        ...,\n",
       "        [3.19051492e-04, 3.27198078e-04, 3.35344664e-04, ...,\n",
       "         2.50348452e-04, 2.65687537e-04, 2.81026622e-04],\n",
       "        [2.76288574e-04, 2.82823138e-04, 2.89357702e-04, ...,\n",
       "         2.56839621e-04, 2.75497925e-04, 2.94156228e-04],\n",
       "        [2.33525656e-04, 2.38448199e-04, 2.43370741e-04, ...,\n",
       "         2.63330791e-04, 2.85308313e-04, 3.07285834e-04]],\n",
       "\n",
       "       [[2.02768299e-04, 1.98268410e-04, 1.93768522e-04, ...,\n",
       "         1.49856147e-04, 1.44106956e-04, 1.38357766e-04],\n",
       "        [2.04346179e-04, 2.01479653e-04, 1.98613127e-04, ...,\n",
       "         1.47701654e-04, 1.39818807e-04, 1.31935961e-04],\n",
       "        [2.05924059e-04, 2.04690896e-04, 2.03457732e-04, ...,\n",
       "         1.45547162e-04, 1.35530659e-04, 1.25514156e-04],\n",
       "...\n",
       "        [2.05077316e-04, 2.09254315e-04, 2.13431314e-04, ...,\n",
       "         1.11298120e-04, 1.12256910e-04, 1.13215700e-04],\n",
       "        [1.99627433e-04, 2.01924906e-04, 2.04222379e-04, ...,\n",
       "         1.08042919e-04, 1.08962483e-04, 1.09882046e-04],\n",
       "        [1.94177551e-04, 1.94595497e-04, 1.95013444e-04, ...,\n",
       "         1.04787718e-04, 1.05668055e-04, 1.06548393e-04]],\n",
       "\n",
       "       [[2.32142389e-04, 2.20720422e-04, 2.09298455e-04, ...,\n",
       "         1.13033220e-04, 1.12587610e-04, 1.12141999e-04],\n",
       "        [2.39701416e-04, 2.27845896e-04, 2.15990375e-04, ...,\n",
       "         1.12536987e-04, 1.11872114e-04, 1.11207241e-04],\n",
       "        [2.47260443e-04, 2.34971369e-04, 2.22682296e-04, ...,\n",
       "         1.12040754e-04, 1.11156618e-04, 1.10272483e-04],\n",
       "        ...,\n",
       "        [1.86753002e-04, 1.91867612e-04, 1.96982221e-04, ...,\n",
       "         9.75102686e-05, 9.43870559e-05, 9.12638431e-05],\n",
       "        [1.68788265e-04, 1.73065767e-04, 1.77343269e-04, ...,\n",
       "         1.01224985e-04, 9.84957246e-05, 9.57664646e-05],\n",
       "        [1.50823527e-04, 1.54263922e-04, 1.57704316e-04, ...,\n",
       "         1.04939700e-04, 1.02604393e-04, 1.00269086e-04]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef9cc8cc-28bf-4762-8f68-de53e5836156' class='xr-section-summary-in' type='checkbox'  ><label for='section-ef9cc8cc-28bf-4762-8f68-de53e5836156' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 128, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2012-09-16\n",
       "  * lon        (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2012-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 17.43 18.83 17.68 19.08 ... 28.33 27.18 28.58\n",
       "    lon_bnds   (lon, bnds) float64 85.42 86.83 85.67 87.08 ... 94.33 93.17 94.58\n",
       "    pr         (time, lat, lon) float64 0.0001728 0.0001694 ... 0.0001003\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to low resolution \n",
    "new_lon=np.arange(86.125,94,0.25)\n",
    "new_lat=np.arange(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(lon=new_lon,lat=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.00016264, 0.00016229, 0.00016194, ..., 0.00021671, 0.0002134 ,\n",
       "        0.0002101 ],\n",
       "       [0.00016451, 0.00016434, 0.00016416, ..., 0.00022011, 0.00021435,\n",
       "        0.00020858],\n",
       "       [0.00016638, 0.00016638, 0.00016638, ..., 0.00022352, 0.00021529,\n",
       "        0.00020706],\n",
       "       ...,\n",
       "       [0.00025298, 0.00025679, 0.0002606 , ..., 0.00019327, 0.00019714,\n",
       "        0.00020101],\n",
       "       [0.00023061, 0.00023298, 0.00023535, ..., 0.00018676, 0.00019083,\n",
       "        0.00019489],\n",
       "       [0.00020824, 0.00020917, 0.0002101 , ..., 0.00018026, 0.00018452,\n",
       "        0.00018878]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-45103b8d-085f-4fd6-b035-9a99de84fcca' class='xr-array-in' type='checkbox' checked><label for='section-45103b8d-085f-4fd6-b035-9a99de84fcca' 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>0.0001626 0.0001623 0.0001619 ... 0.0001803 0.0001845 0.0001888</span></div><div class='xr-array-data'><pre>array([[0.00016264, 0.00016229, 0.00016194, ..., 0.00021671, 0.0002134 ,\n",
       "        0.0002101 ],\n",
       "       [0.00016451, 0.00016434, 0.00016416, ..., 0.00022011, 0.00021435,\n",
       "        0.00020858],\n",
       "       [0.00016638, 0.00016638, 0.00016638, ..., 0.00022352, 0.00021529,\n",
       "        0.00020706],\n",
       "       ...,\n",
       "       [0.00025298, 0.00025679, 0.0002606 , ..., 0.00019327, 0.00019714,\n",
       "        0.00020101],\n",
       "       [0.00023061, 0.00023298, 0.00023535, ..., 0.00018676, 0.00019083,\n",
       "        0.00019489],\n",
       "       [0.00020824, 0.00020917, 0.0002101 , ..., 0.00018026, 0.00018452,\n",
       "        0.00018878]])</pre></div></div></li><li class='xr-section-item'><input id='section-6d20fab9-397e-4f45-a6f5-0616e2fab5ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6d20fab9-397e-4f45-a6f5-0616e2fab5ec' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-8f6e773d-adfb-4ee9-987f-abf71762c714' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f6e773d-adfb-4ee9-987f-abf71762c714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d607f71d-77cd-41eb-9c09-e1a03c478190' class='xr-var-data-in' type='checkbox'><label for='data-d607f71d-77cd-41eb-9c09-e1a03c478190' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-e12ae205-4837-4ec2-852b-f91445eddd58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e12ae205-4837-4ec2-852b-f91445eddd58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5b1c77a-55ef-4e57-8ff6-87f2e427bff3' class='xr-var-data-in' type='checkbox'><label for='data-a5b1c77a-55ef-4e57-8ff6-87f2e427bff3' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-494aad99-2ffc-44db-a39b-986d5f576e29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-494aad99-2ffc-44db-a39b-986d5f576e29' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[0.00016264, 0.00016229, 0.00016194, ..., 0.00021671, 0.0002134 ,\n",
       "        0.0002101 ],\n",
       "       [0.00016451, 0.00016434, 0.00016416, ..., 0.00022011, 0.00021435,\n",
       "        0.00020858],\n",
       "       [0.00016638, 0.00016638, 0.00016638, ..., 0.00022352, 0.00021529,\n",
       "        0.00020706],\n",
       "       ...,\n",
       "       [0.00025298, 0.00025679, 0.0002606 , ..., 0.00019327, 0.00019714,\n",
       "        0.00020101],\n",
       "       [0.00023061, 0.00023298, 0.00023535, ..., 0.00018676, 0.00019083,\n",
       "        0.00019489],\n",
       "       [0.00020824, 0.00020917, 0.0002101 , ..., 0.00018026, 0.00018452,\n",
       "        0.00018878]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[14.05231058, 14.02214068, 13.99197078, ..., 18.72333773,\n",
       "        18.43812498, 18.15291223],\n",
       "       [14.213938  , 14.19868497, 14.18343195, ..., 19.01763197,\n",
       "        18.51962245, 18.02161292],\n",
       "       [14.37556542, 14.37522927, 14.37489312, ..., 19.31192621,\n",
       "        18.60111991, 17.89031361],\n",
       "       ...,\n",
       "       [21.85754484, 22.18670283, 22.51586082, ..., 16.69812949,\n",
       "        17.03271097, 17.36729245],\n",
       "       [19.92464352, 20.12943492, 20.33422632, ..., 16.13614971,\n",
       "        16.48747439, 16.83879907],\n",
       "       [17.9917422 , 18.07216701, 18.15259181, ..., 15.57416992,\n",
       "        15.9422378 , 16.31030569]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2d745ceb-b1ce-4c2a-9f34-b713047c6bb8' class='xr-array-in' type='checkbox' checked><label for='section-2d745ceb-b1ce-4c2a-9f34-b713047c6bb8' 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>14.05 14.02 13.99 13.96 13.93 13.86 ... 14.84 15.21 15.57 15.94 16.31</span></div><div class='xr-array-data'><pre>array([[14.05231058, 14.02214068, 13.99197078, ..., 18.72333773,\n",
       "        18.43812498, 18.15291223],\n",
       "       [14.213938  , 14.19868497, 14.18343195, ..., 19.01763197,\n",
       "        18.51962245, 18.02161292],\n",
       "       [14.37556542, 14.37522927, 14.37489312, ..., 19.31192621,\n",
       "        18.60111991, 17.89031361],\n",
       "       ...,\n",
       "       [21.85754484, 22.18670283, 22.51586082, ..., 16.69812949,\n",
       "        17.03271097, 17.36729245],\n",
       "       [19.92464352, 20.12943492, 20.33422632, ..., 16.13614971,\n",
       "        16.48747439, 16.83879907],\n",
       "       [17.9917422 , 18.07216701, 18.15259181, ..., 15.57416992,\n",
       "        15.9422378 , 16.31030569]])</pre></div></div></li><li class='xr-section-item'><input id='section-cc454f32-4bbb-411c-aa00-5fce703f5b71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc454f32-4bbb-411c-aa00-5fce703f5b71' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-a0dfc056-2e2a-4369-a6ad-1d30e76fb990' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0dfc056-2e2a-4369-a6ad-1d30e76fb990' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-902c087c-8d76-4232-944c-8431bd1a2da2' class='xr-var-data-in' type='checkbox'><label for='data-902c087c-8d76-4232-944c-8431bd1a2da2' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-1c1b7cbe-1d27-493e-afb0-5a8556587b55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c1b7cbe-1d27-493e-afb0-5a8556587b55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c665398-551e-48c7-88fc-45893ff73aec' class='xr-var-data-in' type='checkbox'><label for='data-1c665398-551e-48c7-88fc-45893ff73aec' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78144ee9-4718-43c1-998e-4b4e04018e4f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78144ee9-4718-43c1-998e-4b4e04018e4f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[14.05231058, 14.02214068, 13.99197078, ..., 18.72333773,\n",
       "        18.43812498, 18.15291223],\n",
       "       [14.213938  , 14.19868497, 14.18343195, ..., 19.01763197,\n",
       "        18.51962245, 18.02161292],\n",
       "       [14.37556542, 14.37522927, 14.37489312, ..., 19.31192621,\n",
       "        18.60111991, 17.89031361],\n",
       "       ...,\n",
       "       [21.85754484, 22.18670283, 22.51586082, ..., 16.69812949,\n",
       "        17.03271097, 17.36729245],\n",
       "       [19.92464352, 20.12943492, 20.33422632, ..., 16.13614971,\n",
       "        16.48747439, 16.83879907],\n",
       "       [17.9917422 , 18.07216701, 18.15259181, ..., 15.57416992,\n",
       "        15.9422378 , 16.31030569]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "miroc = jjas_mean*86400\n",
    "miroc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "}\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",
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       "  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 (lat: 40, lon: 32)&gt;\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [13.5484218 , 13.06026088, 11.42407444, ...,  9.93238958,\n",
       "         8.00351614,  4.18921475],\n",
       "       [ 9.51614953, 10.076753  ,  9.21702547, ..., 10.8772853 ,\n",
       "         8.31722636,  7.22808606],\n",
       "       [ 8.08534438,  9.077746  , 10.56039249, ...,  8.2291501 ,\n",
       "         7.56375975,  6.81036195]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-19b8af77-db46-4411-82ce-6bbda1e70219' class='xr-array-in' type='checkbox' checked><label for='section-19b8af77-db46-4411-82ce-6bbda1e70219' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 12.25 11.41 10.18 8.229 7.564 6.81</span></div><div class='xr-array-data'><pre>array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [13.5484218 , 13.06026088, 11.42407444, ...,  9.93238958,\n",
       "         8.00351614,  4.18921475],\n",
       "       [ 9.51614953, 10.076753  ,  9.21702547, ..., 10.8772853 ,\n",
       "         8.31722636,  7.22808606],\n",
       "       [ 8.08534438,  9.077746  , 10.56039249, ...,  8.2291501 ,\n",
       "         7.56375975,  6.81036195]])</pre></div></div></li><li class='xr-section-item'><input id='section-5567c317-00e1-4c79-891a-9d161e10c43b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5567c317-00e1-4c79-891a-9d161e10c43b' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-d0742663-9701-4d39-a764-09a816996f70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0742663-9701-4d39-a764-09a816996f70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4cfa603-1e7e-4c0c-871a-af4e9e239fce' class='xr-var-data-in' type='checkbox'><label for='data-d4cfa603-1e7e-4c0c-871a-af4e9e239fce' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-3178d55c-6af4-414a-bdc9-eab621c022c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3178d55c-6af4-414a-bdc9-eab621c022c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26cb5e83-be43-434f-a437-3d2dd6ce634c' class='xr-var-data-in' type='checkbox'><label for='data-26cb5e83-be43-434f-a437-3d2dd6ce634c' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbfadccc-452d-47a7-9a0d-9f0b36876b96' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dbfadccc-452d-47a7-9a0d-9f0b36876b96' 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 (lat: 40, lon: 32)>\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [13.5484218 , 13.06026088, 11.42407444, ...,  9.93238958,\n",
       "         8.00351614,  4.18921475],\n",
       "       [ 9.51614953, 10.076753  ,  9.21702547, ..., 10.8772853 ,\n",
       "         8.31722636,  7.22808606],\n",
       "       [ 8.08534438,  9.077746  , 10.56039249, ...,  8.2291501 ,\n",
       "         7.56375975,  6.81036195]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = miroc - chirps\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
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       "       [ 91.42676675, 100.23944929,  82.90778939, ..., 206.83715094,\n",
       "        101.79894568,  75.20863498],\n",
       "       [ 81.61740049, 100.92640758, 139.0953008 , ..., 112.03713952,\n",
       "         90.27605856,  71.68844515]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-91d6e061-df8e-40a7-a583-b6c0d476caab' class='xr-array-in' type='checkbox' checked><label for='section-91d6e061-df8e-40a7-a583-b6c0d476caab' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 500.9 333.4 202.3 112.0 90.28 71.69</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [163.05477414, 143.10353303, 102.99580287, ..., 146.8041884 ,\n",
       "         88.6404191 ,  31.78927041],\n",
       "       [ 91.42676675, 100.23944929,  82.90778939, ..., 206.83715094,\n",
       "        101.79894568,  75.20863498],\n",
       "       [ 81.61740049, 100.92640758, 139.0953008 , ..., 112.03713952,\n",
       "         90.27605856,  71.68844515]])</pre></div></div></li><li class='xr-section-item'><input id='section-b9e49cb0-c8ea-42c7-8daf-11608781e2b5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9e49cb0-c8ea-42c7-8daf-11608781e2b5' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-f0577eb2-335b-4ea5-857d-f99fbb5e1140' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0577eb2-335b-4ea5-857d-f99fbb5e1140' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dae29ab0-2f6c-4fa3-b19a-34bbf41fefec' class='xr-var-data-in' type='checkbox'><label for='data-dae29ab0-2f6c-4fa3-b19a-34bbf41fefec' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-d339e251-3962-49e2-8bc0-39301a680965' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d339e251-3962-49e2-8bc0-39301a680965' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd7ebb1d-dc7f-4272-82f2-dda380b5a4f6' class='xr-var-data-in' type='checkbox'><label for='data-cd7ebb1d-dc7f-4272-82f2-dda380b5a4f6' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8043803e-de3e-4320-9dd4-cafb4e544782' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8043803e-de3e-4320-9dd4-cafb4e544782' 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 (lat: 40, lon: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [163.05477414, 143.10353303, 102.99580287, ..., 146.8041884 ,\n",
       "         88.6404191 ,  31.78927041],\n",
       "       [ 91.42676675, 100.23944929,  82.90778939, ..., 206.83715094,\n",
       "        101.79894568,  75.20863498],\n",
       "       [ 81.61740049, 100.92640758, 139.0953008 , ..., 112.03713952,\n",
       "         90.27605856,  71.68844515]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((miroc - chirps)/chirps)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[:,:],\n",
    "               levels=np.arange(-15,15+3,3),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-15,15+3,3), orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "plt.title('Seasonal Bias(GCM MIROC5-CHIRPS)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(gcm miroc5-chirps).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['lon'], bias_percentage['lat'],bias_percentage[:,:],\n",
    "               levels=np.arange(-150,150+25,25),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-150,150+25,25), orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(GCM MIROC5-CHIRPS)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(gcm miroc5-chirps).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "220503a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \\nBrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\\nGreens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \\nPastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\\nRdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \\nSpectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\\nautumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \\ncopper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\\ngist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\\ngnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\\nmagma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \\nseismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \\nter'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
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