Bd_pr_ERA5.ipynb

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   "source": [
    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eabdcdf5",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 492, bnds: 2, longitude: 1440, latitude: 721)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2020-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float32 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01T01:00:00 ... 2021-01-01\n",
       "    tp         (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg...</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-1cbdd7a0-9dce-4bf6-bff4-4d3333026a04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1cbdd7a0-9dce-4bf6-bff4-4d3333026a04' 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>: 492</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>latitude</span>: 721</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c5b09a28-b280-4f2e-8a64-a2794b2919da' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c5b09a28-b280-4f2e-8a64-a2794b2919da' 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'>1980-01-16T12:00:00 ... 2020-12-...</div><input id='attrs-565bf8d3-db76-45e1-9d4d-f8e058d37215' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-565bf8d3-db76-45e1-9d4d-f8e058d37215' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96d2e14e-6410-4c73-9eea-071877df1bf3' class='xr-var-data-in' type='checkbox'><label for='data-96d2e14e-6410-4c73-9eea-071877df1bf3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-01-16T12:00:00.000000000&#x27;, &#x27;1980-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-03-16T12:00:00.000000000&#x27;, ..., &#x27;2020-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2020-11-16T00:00:00.000000000&#x27;, &#x27;2020-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-de2763aa-2f60-426c-b6ec-57cfa007e2b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de2763aa-2f60-426c-b6ec-57cfa007e2b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df8cfe43-e16e-4e25-9c86-50fa7f4b8236' class='xr-var-data-in' type='checkbox'><label for='data-df8cfe43-e16e-4e25-9c86-50fa7f4b8236' 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([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
       "       3.5975e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-0e640b6d-c1cd-42b6-8aae-45557a004508' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e640b6d-c1cd-42b6-8aae-45557a004508' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c37ee40b-ba81-486c-93d5-719f43947096' class='xr-var-data-in' type='checkbox'><label for='data-c37ee40b-ba81-486c-93d5-719f43947096' 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([ 90.  ,  89.75,  89.5 , ..., -89.5 , -89.75, -90.  ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f13f98f9-4a73-4f42-8c1f-d6fa694ccd3c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f13f98f9-4a73-4f42-8c1f-d6fa694ccd3c' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e4a66b4-923b-4228-92f9-e0b558dd0c2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e4a66b4-923b-4228-92f9-e0b558dd0c2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f7c36f8-456d-4e5d-bb1f-d14c7a5856b1' class='xr-var-data-in' type='checkbox'><label for='data-5f7c36f8-456d-4e5d-bb1f-d14c7a5856b1' 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;1980-01-01T01:00:00.000000000&#x27;, &#x27;1980-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-02-01T01:00:00.000000000&#x27;, &#x27;1980-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-03-01T01:00:00.000000000&#x27;, &#x27;1980-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2020-10-01T01:00:00.000000000&#x27;, &#x27;2020-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2020-11-01T01:00:00.000000000&#x27;, &#x27;2020-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2020-12-01T01:00:00.000000000&#x27;, &#x27;2021-01-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03078069-a2d6-42ee-af61-4ad622b86b60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03078069-a2d6-42ee-af61-4ad622b86b60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7707123-12f2-412b-811a-fe85e973d6eb' class='xr-var-data-in' type='checkbox'><label for='data-d7707123-12f2-412b-811a-fe85e973d6eb' 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>long_name :</span></dt><dd>Total precipitation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[510814080 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c6079cf-5919-48e1-91f3-178ba2736c16' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c6079cf-5919-48e1-91f3-178ba2736c16' class='xr-section-summary' >Attributes: <span>(5)</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 Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_day.nc pr_1980_01_mon.nc\n",
       "Thu Jun 16 11:41:54 2022: cdo -L -b F32 --timestat_date middle shifttime,1h -dayavg -selmonth,1 -mergetime ../hourly/pr_1980_01.nc ../hourly/pr_1980_02.nc pr_1980_01_day.nc\n",
       "2019-05-21 12:33:12 GMT by grib_to_netcdf-2.10.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data1/adaptor.mars.internal-1558441888.9574902-16326-3-5452902c-0664-4951-a53d-562b897ee9cc.nc /cache/tmp/5452902c-0664-4951-a53d-562b897ee9cc-adaptor.mars.internal-1558441888.9579558-16326-2-tmp.grib</dd><dt><span>frequency :</span></dt><dd>mon</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: 492, bnds: 2, longitude: 1440, latitude: 721)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2020-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float32 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] ...\n",
       "    tp         (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/reanalysis/ERA5/pr_198001_202012_mon.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b7c632b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "149f737b",
   "metadata": {},
   "outputs": [
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       ".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",
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       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
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       "  display: inline-block;\n",
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       "  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: 431, bnds: 2, longitude: 1440, latitude: 721)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2015-11-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float32 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01T01:00:00 ... 2015-12-01\n",
       "    tp         (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg...</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-6415e55b-003b-42c2-b293-330714f9005a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6415e55b-003b-42c2-b293-330714f9005a' 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>: 431</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>latitude</span>: 721</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7d2128b2-3b18-49f1-923f-07e1b1cef8f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7d2128b2-3b18-49f1-923f-07e1b1cef8f3' 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'>1980-01-16T12:00:00 ... 2015-11-16</div><input id='attrs-36d53bb4-7208-48f9-968b-5a2a0839e013' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36d53bb4-7208-48f9-968b-5a2a0839e013' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a2aa351-9e71-4725-b788-bda8e24c058d' class='xr-var-data-in' type='checkbox'><label for='data-3a2aa351-9e71-4725-b788-bda8e24c058d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-01-16T12:00:00.000000000&#x27;, &#x27;1980-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-03-16T12:00:00.000000000&#x27;, ..., &#x27;2015-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-10-16T12:00:00.000000000&#x27;, &#x27;2015-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-4f44b457-1236-43ec-ba18-b0f41a2595f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f44b457-1236-43ec-ba18-b0f41a2595f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b6146be-7495-4adc-9339-bc559b6bfd4a' class='xr-var-data-in' type='checkbox'><label for='data-7b6146be-7495-4adc-9339-bc559b6bfd4a' 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([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
       "       3.5975e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-65f6bdc8-282a-4212-9013-3c94e3001aac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65f6bdc8-282a-4212-9013-3c94e3001aac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d958fee-9789-4f9d-92d4-4e91873be984' class='xr-var-data-in' type='checkbox'><label for='data-1d958fee-9789-4f9d-92d4-4e91873be984' 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([ 90.  ,  89.75,  89.5 , ..., -89.5 , -89.75, -90.  ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c4245c3-1565-4f13-9d59-0fc52a719273' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c4245c3-1565-4f13-9d59-0fc52a719273' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-01T01:00:00 ... 2015-12-01</div><input id='attrs-c726ba58-e1df-4bb3-bf77-74aacf0ce29b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c726ba58-e1df-4bb3-bf77-74aacf0ce29b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b592a70-06dc-4680-999b-e6afb1aa74f3' class='xr-var-data-in' type='checkbox'><label for='data-4b592a70-06dc-4680-999b-e6afb1aa74f3' 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;1980-01-01T01:00:00.000000000&#x27;, &#x27;1980-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-02-01T01:00:00.000000000&#x27;, &#x27;1980-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-03-01T01:00:00.000000000&#x27;, &#x27;1980-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-09-01T01:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-10-01T01:00:00.000000000&#x27;, &#x27;2015-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-11-01T01:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a829dac5-a1b4-4658-8461-d1263d5ffeb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a829dac5-a1b4-4658-8461-d1263d5ffeb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ed83827-30c8-451e-9d7f-a89809127b94' class='xr-var-data-in' type='checkbox'><label for='data-4ed83827-30c8-451e-9d7f-a89809127b94' 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>long_name :</span></dt><dd>Total precipitation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[447481440 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11b8f3de-71c6-4b61-ba51-04f734a5404c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-11b8f3de-71c6-4b61-ba51-04f734a5404c' class='xr-section-summary' >Attributes: <span>(5)</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 Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_day.nc pr_1980_01_mon.nc\n",
       "Thu Jun 16 11:41:54 2022: cdo -L -b F32 --timestat_date middle shifttime,1h -dayavg -selmonth,1 -mergetime ../hourly/pr_1980_01.nc ../hourly/pr_1980_02.nc pr_1980_01_day.nc\n",
       "2019-05-21 12:33:12 GMT by grib_to_netcdf-2.10.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data1/adaptor.mars.internal-1558441888.9574902-16326-3-5452902c-0664-4951-a53d-562b897ee9cc.nc /cache/tmp/5452902c-0664-4951-a53d-562b897ee9cc-adaptor.mars.internal-1558441888.9579558-16326-2-tmp.grib</dd><dt><span>frequency :</span></dt><dd>mon</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: 431, bnds: 2, longitude: 1440, latitude: 721)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2015-11-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float32 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01T01:00:00 ... 2015-12-01\n",
       "    tp         (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1980-01-16T12:00:00.000000000','2015-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "66f463e9",
   "metadata": {},
   "outputs": [
    {
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       "}\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: 144, bnds: 2, longitude: 1440, latitude: 721)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2015-09-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float32 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01T01:00:00 ... 2015-10-01\n",
       "    tp         (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg...</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-b13acdf7-c360-4942-83c8-67f0ea7c4108' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b13acdf7-c360-4942-83c8-67f0ea7c4108' 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>: 144</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>latitude</span>: 721</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-73210cf0-86b7-45e6-8bee-617870803776' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73210cf0-86b7-45e6-8bee-617870803776' 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'>1980-06-16 ... 2015-09-16</div><input id='attrs-65d57f78-7224-4754-be31-9999ef485a48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65d57f78-7224-4754-be31-9999ef485a48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52cf8f3c-b502-476c-a976-0f0aa1482892' class='xr-var-data-in' type='checkbox'><label for='data-52cf8f3c-b502-476c-a976-0f0aa1482892' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-06-16T00:00:00.000000000&#x27;, &#x27;1980-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-08-16T12:00:00.000000000&#x27;, &#x27;1980-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T12:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T12:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T12:00:00.000000000&#x27;, &#x27;2015-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-6b28ffc0-0987-48c8-8e17-c1f8a70a8308' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b28ffc0-0987-48c8-8e17-c1f8a70a8308' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d305c59b-48c7-459f-bb05-ac21be5c0383' class='xr-var-data-in' type='checkbox'><label for='data-d305c59b-48c7-459f-bb05-ac21be5c0383' 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([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
       "       3.5975e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-4889eb6c-5c5c-42a9-b620-45f7aaa45c1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4889eb6c-5c5c-42a9-b620-45f7aaa45c1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f160bab2-f4f2-4123-9135-8190927b2c86' class='xr-var-data-in' type='checkbox'><label for='data-f160bab2-f4f2-4123-9135-8190927b2c86' 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([ 90.  ,  89.75,  89.5 , ..., -89.5 , -89.75, -90.  ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d3dff78-9311-40f8-8cf4-9c77fc691255' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d3dff78-9311-40f8-8cf4-9c77fc691255' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-06-01T01:00:00 ... 2015-10-01</div><input id='attrs-1ce658da-150d-477e-88fc-59926af71cc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ce658da-150d-477e-88fc-59926af71cc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b471b71c-e106-4e05-854a-c0b194603978' class='xr-var-data-in' type='checkbox'><label for='data-b471b71c-e106-4e05-854a-c0b194603978' 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;1980-06-01T01:00:00.000000000&#x27;, &#x27;1980-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-07-01T01:00:00.000000000&#x27;, &#x27;1980-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-08-01T01:00:00.000000000&#x27;, &#x27;1980-09-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-07-01T01:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-08-01T01:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-09-01T01:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95334f59-a7c0-4aee-bdb6-8e50cf3a1342' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95334f59-a7c0-4aee-bdb6-8e50cf3a1342' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e39dd2c-3675-4fa8-bdae-dfc7a6cb361b' class='xr-var-data-in' type='checkbox'><label for='data-7e39dd2c-3675-4fa8-bdae-dfc7a6cb361b' 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>long_name :</span></dt><dd>Total precipitation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[149506560 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68963937-1f60-4856-b299-497e0cd533fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-68963937-1f60-4856-b299-497e0cd533fb' class='xr-section-summary' >Attributes: <span>(5)</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 Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_day.nc pr_1980_01_mon.nc\n",
       "Thu Jun 16 11:41:54 2022: cdo -L -b F32 --timestat_date middle shifttime,1h -dayavg -selmonth,1 -mergetime ../hourly/pr_1980_01.nc ../hourly/pr_1980_02.nc pr_1980_01_day.nc\n",
       "2019-05-21 12:33:12 GMT by grib_to_netcdf-2.10.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data1/adaptor.mars.internal-1558441888.9574902-16326-3-5452902c-0664-4951-a53d-562b897ee9cc.nc /cache/tmp/5452902c-0664-4951-a53d-562b897ee9cc-adaptor.mars.internal-1558441888.9579558-16326-2-tmp.grib</dd><dt><span>frequency :</span></dt><dd>mon</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: 144, bnds: 2, longitude: 1440, latitude: 721)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2015-09-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float32 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01T01:00:00 ... 2015-10-01\n",
       "    tp         (time, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg..."
      ]
     },
     "execution_count": 5,
     "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": 6,
   "id": "88f184cc",
   "metadata": {},
   "outputs": [
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       "\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: 144, bnds: 2, longitude: 1440, latitude: 98)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2015-09-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01T01:00:00 ... 2015-10-01\n",
       "    tp         (time, latitude, longitude) float64 1.246e-05 ... 9.819e-05\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg...</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-944fc010-c356-4330-9199-9b73509fbf79' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-944fc010-c356-4330-9199-9b73509fbf79' 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>: 144</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>latitude</span>: 98</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-acbff02a-c4b2-4cd5-b0e1-109158089bc8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-acbff02a-c4b2-4cd5-b0e1-109158089bc8' 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'>1980-06-16 ... 2015-09-16</div><input id='attrs-37cc58c3-bb08-4195-b3c6-51005a3f07f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37cc58c3-bb08-4195-b3c6-51005a3f07f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68d40db3-b659-4d04-8aac-b576799d3282' class='xr-var-data-in' type='checkbox'><label for='data-68d40db3-b659-4d04-8aac-b576799d3282' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-06-16T00:00:00.000000000&#x27;, &#x27;1980-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-08-16T12:00:00.000000000&#x27;, &#x27;1980-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T12:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T12:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T12:00:00.000000000&#x27;, &#x27;2015-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-bb87d4ff-018d-4369-9991-f4e0977054cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb87d4ff-018d-4369-9991-f4e0977054cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0813c08a-7c9a-4904-879e-121ff84ba967' class='xr-var-data-in' type='checkbox'><label for='data-0813c08a-7c9a-4904-879e-121ff84ba967' 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([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
       "       3.5975e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.5 1.0 1.5 ... 47.5 48.0 48.5</div><input id='attrs-905f717b-8fad-459c-b722-b5abe881d680' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-905f717b-8fad-459c-b722-b5abe881d680' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fa70a9e-9542-445c-9eac-91f8a62629fb' class='xr-var-data-in' type='checkbox'><label for='data-5fa70a9e-9542-445c-9eac-91f8a62629fb' 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([ 0. ,  0.5,  1. ,  1.5,  2. ,  2.5,  3. ,  3.5,  4. ,  4.5,  5. ,  5.5,\n",
       "        6. ,  6.5,  7. ,  7.5,  8. ,  8.5,  9. ,  9.5, 10. , 10.5, 11. , 11.5,\n",
       "       12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5, 16. , 16.5, 17. , 17.5,\n",
       "       18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5, 22. , 22.5, 23. , 23.5,\n",
       "       24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5, 28. , 28.5, 29. , 29.5,\n",
       "       30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5, 34. , 34.5, 35. , 35.5,\n",
       "       36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5, 40. , 40.5, 41. , 41.5,\n",
       "       42. , 42.5, 43. , 43.5, 44. , 44.5, 45. , 45.5, 46. , 46.5, 47. , 47.5,\n",
       "       48. , 48.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc02756b-27d3-4247-8647-4bfa93b7bb2b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc02756b-27d3-4247-8647-4bfa93b7bb2b' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-06-01T01:00:00 ... 2015-10-01</div><input id='attrs-00e31a6a-ecc1-4a2e-8f0e-53840344dc1e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00e31a6a-ecc1-4a2e-8f0e-53840344dc1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fa54a3b-1c3c-458e-a35c-843e505ed669' class='xr-var-data-in' type='checkbox'><label for='data-4fa54a3b-1c3c-458e-a35c-843e505ed669' 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;1980-06-01T01:00:00.000000000&#x27;, &#x27;1980-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-07-01T01:00:00.000000000&#x27;, &#x27;1980-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-08-01T01:00:00.000000000&#x27;, &#x27;1980-09-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-07-01T01:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-08-01T01:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-09-01T01:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.246e-05 1.062e-05 ... 9.819e-05</div><input id='attrs-b79c4823-1bb5-49f1-88bf-93c6f013a372' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b79c4823-1bb5-49f1-88bf-93c6f013a372' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-734d066d-1ce6-4239-b53e-eb228bb40ed1' class='xr-var-data-in' type='checkbox'><label for='data-734d066d-1ce6-4239-b53e-eb228bb40ed1' 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>long_name :</span></dt><dd>Total precipitation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[1.24551543e-05, 1.06243451e-05, 1.19239930e-05, ...,\n",
       "         1.15578314e-05, 1.17951586e-05, 1.13555388e-05],\n",
       "        [1.34315860e-05, 1.46374341e-05, 1.32010391e-05, ...,\n",
       "         1.40282937e-05, 1.41706905e-05, 1.54036607e-05],\n",
       "        [1.94653458e-05, 1.79498420e-05, 1.89601778e-05, ...,\n",
       "         1.88607264e-05, 2.04440366e-05, 1.90110331e-05],\n",
       "        ...,\n",
       "        [1.28777101e-04, 1.29446125e-04, 1.29621301e-04, ...,\n",
       "         1.28386062e-04, 1.27027655e-04, 1.25161809e-04],\n",
       "        [1.28389467e-04, 1.38246440e-04, 1.47104394e-04, ...,\n",
       "         1.24096099e-04, 1.20721532e-04, 1.22960322e-04],\n",
       "        [1.46559672e-04, 1.58216964e-04, 1.58141236e-04, ...,\n",
       "         1.53144938e-04, 1.49362400e-04, 1.46690771e-04]],\n",
       "\n",
       "       [[1.40689144e-05, 1.26376799e-05, 1.23514328e-05, ...,\n",
       "         1.22890460e-05, 1.15220500e-05, 1.19453043e-05],\n",
       "        [7.78860795e-06, 9.00332179e-06, 8.27669555e-06, ...,\n",
       "         9.28834561e-06, 8.21797767e-06, 9.79478318e-06],\n",
       "        [7.66016365e-06, 7.63814478e-06, 7.62958189e-06, ...,\n",
       "         7.99778809e-06, 8.03203966e-06, 7.26382177e-06],\n",
       "...\n",
       "        [1.01450540e-04, 1.03909500e-04, 1.00904261e-04, ...,\n",
       "         1.02544516e-04, 1.03016631e-04, 1.03996506e-04],\n",
       "        [9.84966537e-05, 1.00310921e-04, 1.03237704e-04, ...,\n",
       "         1.13251823e-04, 1.13209033e-04, 1.07746273e-04],\n",
       "        [1.26768951e-04, 1.26503670e-04, 1.24723636e-04, ...,\n",
       "         1.34482441e-04, 1.26771818e-04, 1.25362611e-04]],\n",
       "\n",
       "       [[2.08335568e-05, 1.76210269e-05, 1.77914171e-05, ...,\n",
       "         1.84953624e-05, 1.83734792e-05, 1.99890710e-05],\n",
       "        [2.32538368e-05, 2.25461590e-05, 2.06358054e-05, ...,\n",
       "         2.35286989e-05, 2.36891392e-05, 2.70670826e-05],\n",
       "        [3.21663356e-05, 3.19250539e-05, 3.04089590e-05, ...,\n",
       "         3.06489965e-05, 3.42060375e-05, 3.10494761e-05],\n",
       "        ...,\n",
       "        [7.61592091e-05, 7.58806127e-05, 7.98829060e-05, ...,\n",
       "         7.68432510e-05, 8.18529588e-05, 8.21738358e-05],\n",
       "        [9.88807296e-05, 8.87493879e-05, 8.87419228e-05, ...,\n",
       "         9.00938467e-05, 9.55413416e-05, 9.65238796e-05],\n",
       "        [1.01712685e-04, 9.98682444e-05, 9.51918555e-05, ...,\n",
       "         8.47359042e-05, 9.28064037e-05, 9.81904668e-05]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de0dcbc6-e091-4038-a93a-56ad4f4348ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de0dcbc6-e091-4038-a93a-56ad4f4348ca' class='xr-section-summary' >Attributes: <span>(5)</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 Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_day.nc pr_1980_01_mon.nc\n",
       "Thu Jun 16 11:41:54 2022: cdo -L -b F32 --timestat_date middle shifttime,1h -dayavg -selmonth,1 -mergetime ../hourly/pr_1980_01.nc ../hourly/pr_1980_02.nc pr_1980_01_day.nc\n",
       "2019-05-21 12:33:12 GMT by grib_to_netcdf-2.10.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data1/adaptor.mars.internal-1558441888.9574902-16326-3-5452902c-0664-4951-a53d-562b897ee9cc.nc /cache/tmp/5452902c-0664-4951-a53d-562b897ee9cc-adaptor.mars.internal-1558441888.9579558-16326-2-tmp.grib</dd><dt><span>frequency :</span></dt><dd>mon</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: 144, bnds: 2, longitude: 1440, latitude: 98)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2015-09-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01T01:00:00 ... 2015-10-01\n",
       "    tp         (time, latitude, longitude) float64 1.246e-05 ... 9.819e-05\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_lat=np.arange(0,49,0.5)\n",
    "jjas_data=jjas_data.interp(latitude=new_lat)\n",
    "jjas_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1b40f47b",
   "metadata": {},
   "outputs": [
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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.Dataset&gt;\n",
       "Dimensions:    (time: 144, bnds: 2, longitude: 385, latitude: 98)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2015-09-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 95.25 95.5 95.75 96.0\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01T01:00:00 ... 2015-10-01\n",
       "    tp         (time, latitude, longitude) float64 1.246e-05 ... 4.191e-05\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg...</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-7894479e-d382-4884-90da-b8ff331e213c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7894479e-d382-4884-90da-b8ff331e213c' 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>: 144</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 385</li><li><span class='xr-has-index'>latitude</span>: 98</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-266319fc-ca0f-4408-9c25-9f84e788f7d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-266319fc-ca0f-4408-9c25-9f84e788f7d0' 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'>1980-06-16 ... 2015-09-16</div><input id='attrs-17f4413f-00ac-4c96-923e-9261702b7366' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17f4413f-00ac-4c96-923e-9261702b7366' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c09badd1-adee-417b-b353-bfa320d2f681' class='xr-var-data-in' type='checkbox'><label for='data-c09badd1-adee-417b-b353-bfa320d2f681' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-06-16T00:00:00.000000000&#x27;, &#x27;1980-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-08-16T12:00:00.000000000&#x27;, &#x27;1980-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T12:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T12:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T12:00:00.000000000&#x27;, &#x27;2015-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 95.5 95.75 96.0</div><input id='attrs-302ae6a1-cb30-4fc6-8997-e90e0ad42ebe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-302ae6a1-cb30-4fc6-8997-e90e0ad42ebe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06e52ea3-87c3-4280-8662-768a5fbd968e' class='xr-var-data-in' type='checkbox'><label for='data-06e52ea3-87c3-4280-8662-768a5fbd968e' 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([ 0.  ,  0.25,  0.5 , ..., 95.5 , 95.75, 96.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.5 1.0 1.5 ... 47.5 48.0 48.5</div><input id='attrs-c2254056-061a-4217-b104-febbff77ac4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2254056-061a-4217-b104-febbff77ac4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f43d1c8-19a3-45fe-9d1c-51f951fa76ed' class='xr-var-data-in' type='checkbox'><label for='data-3f43d1c8-19a3-45fe-9d1c-51f951fa76ed' 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([ 0. ,  0.5,  1. ,  1.5,  2. ,  2.5,  3. ,  3.5,  4. ,  4.5,  5. ,  5.5,\n",
       "        6. ,  6.5,  7. ,  7.5,  8. ,  8.5,  9. ,  9.5, 10. , 10.5, 11. , 11.5,\n",
       "       12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5, 16. , 16.5, 17. , 17.5,\n",
       "       18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5, 22. , 22.5, 23. , 23.5,\n",
       "       24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5, 28. , 28.5, 29. , 29.5,\n",
       "       30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5, 34. , 34.5, 35. , 35.5,\n",
       "       36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5, 40. , 40.5, 41. , 41.5,\n",
       "       42. , 42.5, 43. , 43.5, 44. , 44.5, 45. , 45.5, 46. , 46.5, 47. , 47.5,\n",
       "       48. , 48.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa7cf18f-6dcc-419e-9889-9f5171bf9372' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aa7cf18f-6dcc-419e-9889-9f5171bf9372' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-06-01T01:00:00 ... 2015-10-01</div><input id='attrs-2f24fe1e-e9e0-483f-a39c-8d2bc39b7873' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f24fe1e-e9e0-483f-a39c-8d2bc39b7873' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a2543e8-0dc1-486e-86f5-4e8da2126c50' class='xr-var-data-in' type='checkbox'><label for='data-3a2543e8-0dc1-486e-86f5-4e8da2126c50' 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;1980-06-01T01:00:00.000000000&#x27;, &#x27;1980-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-07-01T01:00:00.000000000&#x27;, &#x27;1980-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-08-01T01:00:00.000000000&#x27;, &#x27;1980-09-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-07-01T01:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-08-01T01:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-09-01T01:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.246e-05 1.062e-05 ... 4.191e-05</div><input id='attrs-8a2d15d3-0c7d-4faa-a4ab-b67dfa254d15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a2d15d3-0c7d-4faa-a4ab-b67dfa254d15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16207cd3-0783-4a0b-a466-483f52c89887' class='xr-var-data-in' type='checkbox'><label for='data-16207cd3-0783-4a0b-a466-483f52c89887' 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>long_name :</span></dt><dd>Total precipitation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[1.24551543e-05, 1.06243451e-05, 1.19239930e-05, ...,\n",
       "         1.76430127e-04, 1.81600466e-04, 1.84135337e-04],\n",
       "        [1.34315860e-05, 1.46374341e-05, 1.32010391e-05, ...,\n",
       "         1.72363914e-04, 1.75952082e-04, 1.84290169e-04],\n",
       "        [1.94653458e-05, 1.79498420e-05, 1.89601778e-05, ...,\n",
       "         1.80427392e-04, 1.80289513e-04, 1.81906726e-04],\n",
       "        ...,\n",
       "        [1.28777101e-04, 1.29446125e-04, 1.29621301e-04, ...,\n",
       "         1.36011049e-05, 1.32428540e-05, 1.75407349e-05],\n",
       "        [1.28389467e-04, 1.38246440e-04, 1.47104394e-04, ...,\n",
       "         2.59036915e-05, 2.20103957e-05, 2.34931267e-05],\n",
       "        [1.46559672e-04, 1.58216964e-04, 1.58141236e-04, ...,\n",
       "         2.92443528e-05, 4.02484220e-05, 5.92210308e-05]],\n",
       "\n",
       "       [[1.40689144e-05, 1.26376799e-05, 1.23514328e-05, ...,\n",
       "         1.68572529e-04, 1.82787015e-04, 2.01028524e-04],\n",
       "        [7.78860795e-06, 9.00332179e-06, 8.27669555e-06, ...,\n",
       "         1.93710875e-04, 2.01908057e-04, 2.02883020e-04],\n",
       "        [7.66016365e-06, 7.63814478e-06, 7.62958189e-06, ...,\n",
       "         2.23903815e-04, 2.26570570e-04, 2.25065931e-04],\n",
       "...\n",
       "        [1.01450540e-04, 1.03909500e-04, 1.00904261e-04, ...,\n",
       "         7.51108819e-05, 7.33722118e-05, 7.78365575e-05],\n",
       "        [9.84966537e-05, 1.00310921e-04, 1.03237704e-04, ...,\n",
       "         6.92972462e-05, 7.07663421e-05, 7.66199155e-05],\n",
       "        [1.26768951e-04, 1.26503670e-04, 1.24723636e-04, ...,\n",
       "         5.68427095e-05, 7.96793538e-05, 1.06682244e-04]],\n",
       "\n",
       "       [[2.08335568e-05, 1.76210269e-05, 1.77914171e-05, ...,\n",
       "         2.77415529e-04, 2.80626817e-04, 3.02684173e-04],\n",
       "        [2.32538368e-05, 2.25461590e-05, 2.06358054e-05, ...,\n",
       "         2.73527665e-04, 2.85438757e-04, 3.19537852e-04],\n",
       "        [3.21663356e-05, 3.19250539e-05, 3.04089590e-05, ...,\n",
       "         2.50324811e-04, 2.82802066e-04, 3.40893748e-04],\n",
       "        ...,\n",
       "        [7.61592091e-05, 7.58806127e-05, 7.98829060e-05, ...,\n",
       "         2.30225050e-05, 2.03758682e-05, 2.33533337e-05],\n",
       "        [9.88807296e-05, 8.87493879e-05, 8.87419228e-05, ...,\n",
       "         2.79351989e-05, 3.07659066e-05, 3.69496847e-05],\n",
       "        [1.01712685e-04, 9.98682444e-05, 9.51918555e-05, ...,\n",
       "         2.44167150e-05, 3.25319888e-05, 4.19071512e-05]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c288e6f-0d49-439d-87f4-ad7cab3b8314' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c288e6f-0d49-439d-87f4-ad7cab3b8314' class='xr-section-summary' >Attributes: <span>(5)</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 Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_day.nc pr_1980_01_mon.nc\n",
       "Thu Jun 16 11:41:54 2022: cdo -L -b F32 --timestat_date middle shifttime,1h -dayavg -selmonth,1 -mergetime ../hourly/pr_1980_01.nc ../hourly/pr_1980_02.nc pr_1980_01_day.nc\n",
       "2019-05-21 12:33:12 GMT by grib_to_netcdf-2.10.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data1/adaptor.mars.internal-1558441888.9574902-16326-3-5452902c-0664-4951-a53d-562b897ee9cc.nc /cache/tmp/5452902c-0664-4951-a53d-562b897ee9cc-adaptor.mars.internal-1558441888.9579558-16326-2-tmp.grib</dd><dt><span>frequency :</span></dt><dd>mon</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: 144, bnds: 2, longitude: 385, latitude: 98)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2015-09-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 95.25 95.5 95.75 96.0\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01T01:00:00 ... 2015-10-01\n",
       "    tp         (time, latitude, longitude) float64 1.246e-05 ... 4.191e-05\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(longitude=slice(0,96),latitude=slice(0,49))\n",
    "jjas_data\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c8ca89be",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tp&#x27; (latitude: 98, longitude: 385)&gt;\n",
       "array([[1.82350727e-05, 1.69246476e-05, 1.72090516e-05, ...,\n",
       "        2.62914917e-04, 2.67225601e-04, 2.72731631e-04],\n",
       "       [2.30186452e-05, 2.45118386e-05, 2.27907567e-05, ...,\n",
       "        2.59391852e-04, 2.61110103e-04, 2.69113315e-04],\n",
       "       [3.45915117e-05, 3.46790523e-05, 3.36547006e-05, ...,\n",
       "        2.66071313e-04, 2.67548483e-04, 2.71918435e-04],\n",
       "       ...,\n",
       "       [7.31893658e-05, 7.54932703e-05, 7.65396782e-05, ...,\n",
       "        3.71949199e-05, 3.34821311e-05, 3.73345018e-05],\n",
       "       [7.26410912e-05, 7.34422787e-05, 7.60212740e-05, ...,\n",
       "        5.31650465e-05, 4.92153456e-05, 5.41981456e-05],\n",
       "       [8.15648072e-05, 7.81103593e-05, 7.57714013e-05, ...,\n",
       "        4.41197391e-05, 5.37042381e-05, 6.99273434e-05]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 95.25 95.5 95.75 96.0\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5</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'>'tp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 98</li><li><span class='xr-has-index'>longitude</span>: 385</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e8257a79-7747-42a2-ae11-47a4f7ab4476' class='xr-array-in' type='checkbox' checked><label for='section-e8257a79-7747-42a2-ae11-47a4f7ab4476' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.824e-05 1.692e-05 1.721e-05 ... 4.412e-05 5.37e-05 6.993e-05</span></div><div class='xr-array-data'><pre>array([[1.82350727e-05, 1.69246476e-05, 1.72090516e-05, ...,\n",
       "        2.62914917e-04, 2.67225601e-04, 2.72731631e-04],\n",
       "       [2.30186452e-05, 2.45118386e-05, 2.27907567e-05, ...,\n",
       "        2.59391852e-04, 2.61110103e-04, 2.69113315e-04],\n",
       "       [3.45915117e-05, 3.46790523e-05, 3.36547006e-05, ...,\n",
       "        2.66071313e-04, 2.67548483e-04, 2.71918435e-04],\n",
       "       ...,\n",
       "       [7.31893658e-05, 7.54932703e-05, 7.65396782e-05, ...,\n",
       "        3.71949199e-05, 3.34821311e-05, 3.73345018e-05],\n",
       "       [7.26410912e-05, 7.34422787e-05, 7.60212740e-05, ...,\n",
       "        5.31650465e-05, 4.92153456e-05, 5.41981456e-05],\n",
       "       [8.15648072e-05, 7.81103593e-05, 7.57714013e-05, ...,\n",
       "        4.41197391e-05, 5.37042381e-05, 6.99273434e-05]])</pre></div></div></li><li class='xr-section-item'><input id='section-5f29c402-7ce4-48e0-a30c-214c53fcbfc0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f29c402-7ce4-48e0-a30c-214c53fcbfc0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 95.5 95.75 96.0</div><input id='attrs-5e2f3b1b-9a81-4eeb-ba14-dc389ce27f2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e2f3b1b-9a81-4eeb-ba14-dc389ce27f2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72bf4faa-fbfd-4e41-87c9-843a08bfc9d0' class='xr-var-data-in' type='checkbox'><label for='data-72bf4faa-fbfd-4e41-87c9-843a08bfc9d0' 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([ 0.  ,  0.25,  0.5 , ..., 95.5 , 95.75, 96.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.5 1.0 1.5 ... 47.5 48.0 48.5</div><input id='attrs-acdbf72b-c175-4c92-ab68-428e38807369' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acdbf72b-c175-4c92-ab68-428e38807369' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5372fd8b-bf90-4874-9de7-e0f1d79407b3' class='xr-var-data-in' type='checkbox'><label for='data-5372fd8b-bf90-4874-9de7-e0f1d79407b3' 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([ 0. ,  0.5,  1. ,  1.5,  2. ,  2.5,  3. ,  3.5,  4. ,  4.5,  5. ,  5.5,\n",
       "        6. ,  6.5,  7. ,  7.5,  8. ,  8.5,  9. ,  9.5, 10. , 10.5, 11. , 11.5,\n",
       "       12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5, 16. , 16.5, 17. , 17.5,\n",
       "       18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5, 22. , 22.5, 23. , 23.5,\n",
       "       24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5, 28. , 28.5, 29. , 29.5,\n",
       "       30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5, 34. , 34.5, 35. , 35.5,\n",
       "       36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5, 40. , 40.5, 41. , 41.5,\n",
       "       42. , 42.5, 43. , 43.5, 44. , 44.5, 45. , 45.5, 46. , 46.5, 47. , 47.5,\n",
       "       48. , 48.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a2e6188-aecc-4922-aa3e-c55a66cdb2ad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a2e6188-aecc-4922-aa3e-c55a66cdb2ad' 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 'tp' (latitude: 98, longitude: 385)>\n",
       "array([[1.82350727e-05, 1.69246476e-05, 1.72090516e-05, ...,\n",
       "        2.62914917e-04, 2.67225601e-04, 2.72731631e-04],\n",
       "       [2.30186452e-05, 2.45118386e-05, 2.27907567e-05, ...,\n",
       "        2.59391852e-04, 2.61110103e-04, 2.69113315e-04],\n",
       "       [3.45915117e-05, 3.46790523e-05, 3.36547006e-05, ...,\n",
       "        2.66071313e-04, 2.67548483e-04, 2.71918435e-04],\n",
       "       ...,\n",
       "       [7.31893658e-05, 7.54932703e-05, 7.65396782e-05, ...,\n",
       "        3.71949199e-05, 3.34821311e-05, 3.73345018e-05],\n",
       "       [7.26410912e-05, 7.34422787e-05, 7.60212740e-05, ...,\n",
       "        5.31650465e-05, 4.92153456e-05, 5.41981456e-05],\n",
       "       [8.15648072e-05, 7.81103593e-05, 7.57714013e-05, ...,\n",
       "        4.41197391e-05, 5.37042381e-05, 6.99273434e-05]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 95.25 95.5 95.75 96.0\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.tp.mean('time')\n",
    " \n",
    "jjas_mean "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2eab95c7",
   "metadata": {},
   "outputs": [
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       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tp&#x27; (latitude: 98, longitude: 385)&gt;\n",
       "array([[0.43764175, 0.40619154, 0.41301724, ..., 6.30995801, 6.41341442,\n",
       "        6.54555915],\n",
       "       [0.55244749, 0.58828413, 0.54697816, ..., 6.22540444, 6.26664247,\n",
       "        6.45871956],\n",
       "       [0.83019628, 0.83229725, 0.80771282, ..., 6.38571152, 6.4211636 ,\n",
       "        6.52604243],\n",
       "       ...,\n",
       "       [1.75654478, 1.81183849, 1.83695228, ..., 0.89267808, 0.80357115,\n",
       "        0.89602804],\n",
       "       [1.74338619, 1.76261469, 1.82451058, ..., 1.27596112, 1.18116829,\n",
       "        1.30075549],\n",
       "       [1.95755537, 1.87464862, 1.81851363, ..., 1.05887374, 1.28890172,\n",
       "        1.67825624]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 95.25 95.5 95.75 96.0\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5</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'>'tp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 98</li><li><span class='xr-has-index'>longitude</span>: 385</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-805a8c21-be9c-4bd6-8516-6eae70047b40' class='xr-array-in' type='checkbox' checked><label for='section-805a8c21-be9c-4bd6-8516-6eae70047b40' 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>0.4376 0.4062 0.413 0.4025 0.43 ... 0.9741 1.082 1.059 1.289 1.678</span></div><div class='xr-array-data'><pre>array([[0.43764175, 0.40619154, 0.41301724, ..., 6.30995801, 6.41341442,\n",
       "        6.54555915],\n",
       "       [0.55244749, 0.58828413, 0.54697816, ..., 6.22540444, 6.26664247,\n",
       "        6.45871956],\n",
       "       [0.83019628, 0.83229725, 0.80771282, ..., 6.38571152, 6.4211636 ,\n",
       "        6.52604243],\n",
       "       ...,\n",
       "       [1.75654478, 1.81183849, 1.83695228, ..., 0.89267808, 0.80357115,\n",
       "        0.89602804],\n",
       "       [1.74338619, 1.76261469, 1.82451058, ..., 1.27596112, 1.18116829,\n",
       "        1.30075549],\n",
       "       [1.95755537, 1.87464862, 1.81851363, ..., 1.05887374, 1.28890172,\n",
       "        1.67825624]])</pre></div></div></li><li class='xr-section-item'><input id='section-db200415-ae55-4c7e-b6fa-63e15b347037' class='xr-section-summary-in' type='checkbox'  checked><label for='section-db200415-ae55-4c7e-b6fa-63e15b347037' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 95.5 95.75 96.0</div><input id='attrs-003ecfe6-526e-4a59-acd4-430d211eef57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-003ecfe6-526e-4a59-acd4-430d211eef57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2c93615-273d-4dff-911c-82d8dc7572be' class='xr-var-data-in' type='checkbox'><label for='data-e2c93615-273d-4dff-911c-82d8dc7572be' 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([ 0.  ,  0.25,  0.5 , ..., 95.5 , 95.75, 96.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.5 1.0 1.5 ... 47.5 48.0 48.5</div><input id='attrs-95723808-c917-4a0b-bfa6-6af0f5e0e8ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95723808-c917-4a0b-bfa6-6af0f5e0e8ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-622a81f4-688a-436e-87ab-cacb61a2f041' class='xr-var-data-in' type='checkbox'><label for='data-622a81f4-688a-436e-87ab-cacb61a2f041' 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([ 0. ,  0.5,  1. ,  1.5,  2. ,  2.5,  3. ,  3.5,  4. ,  4.5,  5. ,  5.5,\n",
       "        6. ,  6.5,  7. ,  7.5,  8. ,  8.5,  9. ,  9.5, 10. , 10.5, 11. , 11.5,\n",
       "       12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5, 16. , 16.5, 17. , 17.5,\n",
       "       18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5, 22. , 22.5, 23. , 23.5,\n",
       "       24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5, 28. , 28.5, 29. , 29.5,\n",
       "       30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5, 34. , 34.5, 35. , 35.5,\n",
       "       36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5, 40. , 40.5, 41. , 41.5,\n",
       "       42. , 42.5, 43. , 43.5, 44. , 44.5, 45. , 45.5, 46. , 46.5, 47. , 47.5,\n",
       "       48. , 48.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58a2eb14-d499-4648-b1b9-bdbae48303f1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-58a2eb14-d499-4648-b1b9-bdbae48303f1' 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 'tp' (latitude: 98, longitude: 385)>\n",
       "array([[0.43764175, 0.40619154, 0.41301724, ..., 6.30995801, 6.41341442,\n",
       "        6.54555915],\n",
       "       [0.55244749, 0.58828413, 0.54697816, ..., 6.22540444, 6.26664247,\n",
       "        6.45871956],\n",
       "       [0.83019628, 0.83229725, 0.80771282, ..., 6.38571152, 6.4211636 ,\n",
       "        6.52604243],\n",
       "       ...,\n",
       "       [1.75654478, 1.81183849, 1.83695228, ..., 0.89267808, 0.80357115,\n",
       "        0.89602804],\n",
       "       [1.74338619, 1.76261469, 1.82451058, ..., 1.27596112, 1.18116829,\n",
       "        1.30075549],\n",
       "       [1.95755537, 1.87464862, 1.81851363, ..., 1.05887374, 1.28890172,\n",
       "        1.67825624]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 95.25 95.5 95.75 96.0\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the data is in m so we multiply by 1000 to convert to mm/day\n",
    "\n",
    "pr_mm = jjas_mean*1000*24\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4323ee93",
   "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 with cartopy jjas_pr_mean\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = 16\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    " \n",
    "m1 = ax.contourf(pr_mm['longitude'][:], pr_mm['latitude'][:],pr_mm,\n",
    "                levels=np.arange(1,35+1,5), transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    "\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",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'rain_rate mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    " \n",
    "plt.title('ERA5 Mean jjas precip rate in mm/day')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_era5_jjas_mean.png\")\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6ec39d31",
   "metadata": {},
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 431, bnds: 2, longitude: 1440, latitude: 98)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2015-11-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01T01:00:00 ... 2015-12-01\n",
       "    tp         (time, latitude, longitude) float64 0.0002192 ... 8.959e-05\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg...</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-cc76ca80-b5ef-4f45-b4d3-5ee9b531438e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cc76ca80-b5ef-4f45-b4d3-5ee9b531438e' 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>: 431</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>latitude</span>: 98</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-55f74ef2-e066-4f27-b3a4-a23d8afc7920' class='xr-section-summary-in' type='checkbox'  checked><label for='section-55f74ef2-e066-4f27-b3a4-a23d8afc7920' 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'>1980-01-16T12:00:00 ... 2015-11-16</div><input id='attrs-a9f8ea4b-9755-4caa-9597-2c5a59851b78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9f8ea4b-9755-4caa-9597-2c5a59851b78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7b9bdc6-9cf9-4370-956c-0c1e561bedd5' class='xr-var-data-in' type='checkbox'><label for='data-f7b9bdc6-9cf9-4370-956c-0c1e561bedd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-01-16T12:00:00.000000000&#x27;, &#x27;1980-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-03-16T12:00:00.000000000&#x27;, ..., &#x27;2015-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-10-16T12:00:00.000000000&#x27;, &#x27;2015-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-677084e3-653f-4b2d-b154-415a4a1893b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-677084e3-653f-4b2d-b154-415a4a1893b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60e8bf66-937d-44ea-8a6a-db4a241da489' class='xr-var-data-in' type='checkbox'><label for='data-60e8bf66-937d-44ea-8a6a-db4a241da489' 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([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
       "       3.5975e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.5 1.0 1.5 ... 47.5 48.0 48.5</div><input id='attrs-cdb2adc8-cfa8-445d-bdf3-605211b7b37c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdb2adc8-cfa8-445d-bdf3-605211b7b37c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7900f1c-49cb-4e7a-82f3-849b1440dff7' class='xr-var-data-in' type='checkbox'><label for='data-b7900f1c-49cb-4e7a-82f3-849b1440dff7' 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([ 0. ,  0.5,  1. ,  1.5,  2. ,  2.5,  3. ,  3.5,  4. ,  4.5,  5. ,  5.5,\n",
       "        6. ,  6.5,  7. ,  7.5,  8. ,  8.5,  9. ,  9.5, 10. , 10.5, 11. , 11.5,\n",
       "       12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5, 16. , 16.5, 17. , 17.5,\n",
       "       18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5, 22. , 22.5, 23. , 23.5,\n",
       "       24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5, 28. , 28.5, 29. , 29.5,\n",
       "       30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5, 34. , 34.5, 35. , 35.5,\n",
       "       36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5, 40. , 40.5, 41. , 41.5,\n",
       "       42. , 42.5, 43. , 43.5, 44. , 44.5, 45. , 45.5, 46. , 46.5, 47. , 47.5,\n",
       "       48. , 48.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-705b073c-1214-417e-89e3-1d92f33c5c5c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-705b073c-1214-417e-89e3-1d92f33c5c5c' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-01T01:00:00 ... 2015-12-01</div><input id='attrs-b5610344-9454-4e15-b19d-5481e60160cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5610344-9454-4e15-b19d-5481e60160cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91534ade-87d2-4578-9aaa-e59baeb702ab' class='xr-var-data-in' type='checkbox'><label for='data-91534ade-87d2-4578-9aaa-e59baeb702ab' 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;1980-01-01T01:00:00.000000000&#x27;, &#x27;1980-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-02-01T01:00:00.000000000&#x27;, &#x27;1980-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-03-01T01:00:00.000000000&#x27;, &#x27;1980-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-09-01T01:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-10-01T01:00:00.000000000&#x27;, &#x27;2015-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-11-01T01:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0002192 0.0002171 ... 8.959e-05</div><input id='attrs-b5bf8a78-2ddb-4d25-b2e3-d1ca7665a68c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5bf8a78-2ddb-4d25-b2e3-d1ca7665a68c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdba3c9e-8cc3-42b5-aa8c-e647027d0e81' class='xr-var-data-in' type='checkbox'><label for='data-fdba3c9e-8cc3-42b5-aa8c-e647027d0e81' 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>long_name :</span></dt><dd>Total precipitation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[2.19169931e-04, 2.17108463e-04, 2.20112532e-04, ...,\n",
       "         2.17069304e-04, 2.31017752e-04, 2.32186227e-04],\n",
       "        [2.56223953e-04, 2.55439314e-04, 2.57867621e-04, ...,\n",
       "         2.49388104e-04, 2.62544083e-04, 2.57113017e-04],\n",
       "        [2.85538699e-04, 2.67566531e-04, 2.57605221e-04, ...,\n",
       "         2.94002530e-04, 2.93877209e-04, 2.91766133e-04],\n",
       "        ...,\n",
       "        [9.95244191e-05, 1.00862606e-04, 9.90439803e-05, ...,\n",
       "         9.85322040e-05, 9.64498613e-05, 9.67906089e-05],\n",
       "        [8.65146503e-05, 8.85617483e-05, 9.08686488e-05, ...,\n",
       "         8.61974040e-05, 8.80943626e-05, 8.91975506e-05],\n",
       "        [6.98271542e-05, 6.87252759e-05, 6.75620322e-05, ...,\n",
       "         8.01723072e-05, 7.79306793e-05, 7.43691489e-05]],\n",
       "\n",
       "       [[2.25157884e-04, 2.33159750e-04, 2.38688779e-04, ...,\n",
       "         1.94755703e-04, 1.99237111e-04, 2.09732112e-04],\n",
       "        [2.53318693e-04, 2.64379458e-04, 2.69580923e-04, ...,\n",
       "         2.13956373e-04, 2.24485208e-04, 2.26634555e-04],\n",
       "        [2.76793697e-04, 2.80601089e-04, 2.72869918e-04, ...,\n",
       "         2.63643160e-04, 2.64505332e-04, 2.67552037e-04],\n",
       "...\n",
       "        [5.95389720e-05, 6.25891043e-05, 6.68612192e-05, ...,\n",
       "         5.88044022e-05, 5.84937261e-05, 5.81623426e-05],\n",
       "        [6.09860253e-05, 6.08079063e-05, 6.23709420e-05, ...,\n",
       "         6.26981855e-05, 6.16653633e-05, 6.06049289e-05],\n",
       "        [5.53635145e-05, 5.36775879e-05, 5.45378098e-05, ...,\n",
       "         5.41567169e-05, 5.47490672e-05, 5.51853918e-05]],\n",
       "\n",
       "       [[1.22301994e-04, 1.50909545e-04, 1.29287306e-04, ...,\n",
       "         2.16062050e-04, 1.60749638e-04, 1.09853536e-04],\n",
       "        [9.23035041e-05, 9.55854775e-05, 1.01048630e-04, ...,\n",
       "         2.97517981e-04, 1.60272873e-04, 9.17363432e-05],\n",
       "        [1.01684323e-04, 1.08955399e-04, 1.14802009e-04, ...,\n",
       "         1.09728149e-04, 1.03477672e-04, 1.01153608e-04],\n",
       "        ...,\n",
       "        [8.31588841e-05, 8.71786106e-05, 8.84018809e-05, ...,\n",
       "         6.72170354e-05, 6.83688631e-05, 7.47359809e-05],\n",
       "        [8.11949503e-05, 8.40395223e-05, 8.74279285e-05, ...,\n",
       "         7.83285068e-05, 8.20959976e-05, 8.40832654e-05],\n",
       "        [8.91687887e-05, 9.19681625e-05, 9.17334255e-05, ...,\n",
       "         9.63903003e-05, 9.19040103e-05, 8.95930716e-05]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5a342c6-dbda-418f-8200-d929223118a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f5a342c6-dbda-418f-8200-d929223118a5' class='xr-section-summary' >Attributes: <span>(5)</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 Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_day.nc pr_1980_01_mon.nc\n",
       "Thu Jun 16 11:41:54 2022: cdo -L -b F32 --timestat_date middle shifttime,1h -dayavg -selmonth,1 -mergetime ../hourly/pr_1980_01.nc ../hourly/pr_1980_02.nc pr_1980_01_day.nc\n",
       "2019-05-21 12:33:12 GMT by grib_to_netcdf-2.10.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data1/adaptor.mars.internal-1558441888.9574902-16326-3-5452902c-0664-4951-a53d-562b897ee9cc.nc /cache/tmp/5452902c-0664-4951-a53d-562b897ee9cc-adaptor.mars.internal-1558441888.9579558-16326-2-tmp.grib</dd><dt><span>frequency :</span></dt><dd>mon</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: 431, bnds: 2, longitude: 1440, latitude: 98)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2015-11-16\n",
       "  * longitude  (longitude) float32 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
       "  * latitude   (latitude) float64 0.0 0.5 1.0 1.5 2.0 ... 47.0 47.5 48.0 48.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01T01:00:00 ... 2015-12-01\n",
       "    tp         (time, latitude, longitude) float64 0.0002192 ... 8.959e-05\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating into new latitude\n",
    "new_lat=np.arange(0,49,0.5)\n",
    "data=data.interp(latitude=new_lat)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "053f7412",
   "metadata": {},
   "outputs": [
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       ".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: 431, bnds: 2, longitude: 121, latitude: 61)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2015-11-16\n",
       "  * longitude  (longitude) float32 70.0 70.25 70.5 70.75 ... 99.5 99.75 100.0\n",
       "  * latitude   (latitude) float64 10.0 10.5 11.0 11.5 ... 38.5 39.0 39.5 40.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01T01:00:00 ... 2015-12-01\n",
       "    tp         (time, latitude, longitude) float64 1.644e-05 ... 8.19e-06\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg...</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-8f2ce55a-bfa7-4e9c-9915-d9ee4d42f7c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f2ce55a-bfa7-4e9c-9915-d9ee4d42f7c7' 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>: 431</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 121</li><li><span class='xr-has-index'>latitude</span>: 61</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f270ddb1-f400-4b76-90fe-ff7c1847f966' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f270ddb1-f400-4b76-90fe-ff7c1847f966' 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'>1980-01-16T12:00:00 ... 2015-11-16</div><input id='attrs-2453b676-b561-4899-970a-f373232615d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2453b676-b561-4899-970a-f373232615d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25d4917d-475f-4411-b4c3-7ab39023e6ca' class='xr-var-data-in' type='checkbox'><label for='data-25d4917d-475f-4411-b4c3-7ab39023e6ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-01-16T12:00:00.000000000&#x27;, &#x27;1980-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-03-16T12:00:00.000000000&#x27;, ..., &#x27;2015-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-10-16T12:00:00.000000000&#x27;, &#x27;2015-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0 70.25 70.5 ... 99.75 100.0</div><input id='attrs-56bfb5ac-43d4-40e8-a2be-7fb5f712132a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56bfb5ac-43d4-40e8-a2be-7fb5f712132a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37985df0-a08b-4bdc-91c7-d0e66e318840' class='xr-var-data-in' type='checkbox'><label for='data-37985df0-a08b-4bdc-91c7-d0e66e318840' 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([ 70.  ,  70.25,  70.5 ,  70.75,  71.  ,  71.25,  71.5 ,  71.75,  72.  ,\n",
       "        72.25,  72.5 ,  72.75,  73.  ,  73.25,  73.5 ,  73.75,  74.  ,  74.25,\n",
       "        74.5 ,  74.75,  75.  ,  75.25,  75.5 ,  75.75,  76.  ,  76.25,  76.5 ,\n",
       "        76.75,  77.  ,  77.25,  77.5 ,  77.75,  78.  ,  78.25,  78.5 ,  78.75,\n",
       "        79.  ,  79.25,  79.5 ,  79.75,  80.  ,  80.25,  80.5 ,  80.75,  81.  ,\n",
       "        81.25,  81.5 ,  81.75,  82.  ,  82.25,  82.5 ,  82.75,  83.  ,  83.25,\n",
       "        83.5 ,  83.75,  84.  ,  84.25,  84.5 ,  84.75,  85.  ,  85.25,  85.5 ,\n",
       "        85.75,  86.  ,  86.25,  86.5 ,  86.75,  87.  ,  87.25,  87.5 ,  87.75,\n",
       "        88.  ,  88.25,  88.5 ,  88.75,  89.  ,  89.25,  89.5 ,  89.75,  90.  ,\n",
       "        90.25,  90.5 ,  90.75,  91.  ,  91.25,  91.5 ,  91.75,  92.  ,  92.25,\n",
       "        92.5 ,  92.75,  93.  ,  93.25,  93.5 ,  93.75,  94.  ,  94.25,  94.5 ,\n",
       "        94.75,  95.  ,  95.25,  95.5 ,  95.75,  96.  ,  96.25,  96.5 ,  96.75,\n",
       "        97.  ,  97.25,  97.5 ,  97.75,  98.  ,  98.25,  98.5 ,  98.75,  99.  ,\n",
       "        99.25,  99.5 ,  99.75, 100.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.5 11.0 ... 39.0 39.5 40.0</div><input id='attrs-33977e8d-7c67-4149-acde-0fb3b9f859cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33977e8d-7c67-4149-acde-0fb3b9f859cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f0a3481-df87-4cab-bfb8-ea9dd2824b72' class='xr-var-data-in' type='checkbox'><label for='data-1f0a3481-df87-4cab-bfb8-ea9dd2824b72' 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([10. , 10.5, 11. , 11.5, 12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5,\n",
       "       16. , 16.5, 17. , 17.5, 18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5,\n",
       "       22. , 22.5, 23. , 23.5, 24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5,\n",
       "       28. , 28.5, 29. , 29.5, 30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5,\n",
       "       34. , 34.5, 35. , 35.5, 36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5,\n",
       "       40. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66f3fd7f-5d0a-4707-b18d-a77710b8d5e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66f3fd7f-5d0a-4707-b18d-a77710b8d5e1' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-01T01:00:00 ... 2015-12-01</div><input id='attrs-c51586d7-9d1a-450b-b0e0-719f73c41abf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c51586d7-9d1a-450b-b0e0-719f73c41abf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d24265a-4a35-4e33-a9ce-d86d4d23d079' class='xr-var-data-in' type='checkbox'><label for='data-5d24265a-4a35-4e33-a9ce-d86d4d23d079' 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;1980-01-01T01:00:00.000000000&#x27;, &#x27;1980-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-02-01T01:00:00.000000000&#x27;, &#x27;1980-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-03-01T01:00:00.000000000&#x27;, &#x27;1980-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-09-01T01:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-10-01T01:00:00.000000000&#x27;, &#x27;2015-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-11-01T01:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.644e-05 1.609e-05 ... 8.19e-06</div><input id='attrs-5fa75ec7-80e2-42a0-8edc-e1be3cede01a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fa75ec7-80e2-42a0-8edc-e1be3cede01a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc0372de-55dd-409d-8b15-7300f6c40bc7' class='xr-var-data-in' type='checkbox'><label for='data-dc0372de-55dd-409d-8b15-7300f6c40bc7' 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>long_name :</span></dt><dd>Total precipitation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[1.64381363e-05, 1.60869440e-05, 1.73402696e-05, ...,\n",
       "         1.25671904e-05, 8.21580397e-06, 8.40510802e-06],\n",
       "        [1.65151632e-05, 1.61691933e-05, 1.54158934e-05, ...,\n",
       "         9.07093727e-06, 7.64005836e-06, 6.53687130e-06],\n",
       "        [1.45685935e-05, 1.64838293e-05, 1.40985967e-05, ...,\n",
       "         6.03423587e-06, 6.32406727e-06, 4.97543761e-06],\n",
       "        ...,\n",
       "        [2.13386345e-04, 1.86633086e-04, 1.86447709e-04, ...,\n",
       "         1.62031374e-05, 1.10227293e-05, 9.58923920e-06],\n",
       "        [1.42534351e-04, 1.33558715e-04, 1.32334113e-04, ...,\n",
       "         9.00174291e-06, 7.86983401e-06, 6.87239663e-06],\n",
       "        [4.88835794e-05, 4.27657869e-05, 5.29046629e-05, ...,\n",
       "         6.00029171e-06, 5.50026743e-06, 5.10077007e-06]],\n",
       "\n",
       "       [[1.11582094e-05, 1.07007281e-05, 1.04340897e-05, ...,\n",
       "         2.83435311e-05, 2.21973114e-05, 2.35332118e-05],\n",
       "        [1.09930834e-05, 9.49611785e-06, 1.04895835e-05, ...,\n",
       "         4.11381152e-05, 3.61004095e-05, 3.41364866e-05],\n",
       "        [7.05441425e-06, 8.15751173e-06, 8.85997542e-06, ...,\n",
       "         4.55180234e-05, 4.13330199e-05, 4.27704290e-05],\n",
       "...\n",
       "        [1.78662493e-04, 1.51857515e-04, 1.52844776e-04, ...,\n",
       "         3.37336896e-05, 2.58025229e-05, 2.16325843e-05],\n",
       "        [1.46719656e-04, 1.32790417e-04, 1.31652661e-04, ...,\n",
       "         1.38422583e-05, 1.51747063e-05, 1.56276001e-05],\n",
       "        [9.57249140e-05, 9.22232721e-05, 8.68727730e-05, ...,\n",
       "         1.01127889e-05, 1.19133174e-05, 1.48971703e-05]],\n",
       "\n",
       "       [[1.09910397e-04, 1.17757387e-04, 1.19654258e-04, ...,\n",
       "         4.08376072e-04, 3.75511154e-04, 3.58283345e-04],\n",
       "        [1.27547901e-04, 1.32417656e-04, 1.50892054e-04, ...,\n",
       "         3.75748816e-04, 3.42647661e-04, 3.17526225e-04],\n",
       "        [1.52943467e-04, 1.60552809e-04, 1.71495150e-04, ...,\n",
       "         3.03170673e-04, 3.88646324e-04, 3.47604888e-04],\n",
       "        ...,\n",
       "        [2.53691745e-04, 2.19615220e-04, 2.15760243e-04, ...,\n",
       "         1.26146761e-05, 9.83717291e-06, 8.93904053e-06],\n",
       "        [1.73139779e-04, 1.62923534e-04, 1.60054173e-04, ...,\n",
       "         7.38772133e-06, 9.25980203e-06, 9.89986711e-06],\n",
       "        [1.11498164e-04, 1.02788035e-04, 8.97651116e-05, ...,\n",
       "         6.61789363e-06, 8.11672453e-06, 8.18962508e-06]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4b69a98-266b-4348-843e-e626dab95449' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4b69a98-266b-4348-843e-e626dab95449' class='xr-section-summary' >Attributes: <span>(5)</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 Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_day.nc pr_1980_01_mon.nc\n",
       "Thu Jun 16 11:41:54 2022: cdo -L -b F32 --timestat_date middle shifttime,1h -dayavg -selmonth,1 -mergetime ../hourly/pr_1980_01.nc ../hourly/pr_1980_02.nc pr_1980_01_day.nc\n",
       "2019-05-21 12:33:12 GMT by grib_to_netcdf-2.10.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -o /cache/data1/adaptor.mars.internal-1558441888.9574902-16326-3-5452902c-0664-4951-a53d-562b897ee9cc.nc /cache/tmp/5452902c-0664-4951-a53d-562b897ee9cc-adaptor.mars.internal-1558441888.9579558-16326-2-tmp.grib</dd><dt><span>frequency :</span></dt><dd>mon</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: 431, bnds: 2, longitude: 121, latitude: 61)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2015-11-16\n",
       "  * longitude  (longitude) float32 70.0 70.25 70.5 70.75 ... 99.5 99.75 100.0\n",
       "  * latitude   (latitude) float64 10.0 10.5 11.0 11.5 ... 38.5 39.0 39.5 40.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01T01:00:00 ... 2015-12-01\n",
       "    tp         (time, latitude, longitude) float64 1.644e-05 ... 8.19e-06\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Thu Jun 16 11:44:48 2022: cdo monavg ../daily/pr_1980_01_da...\n",
       "    frequency:    mon\n",
       "    CDO:          Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "data = data.sel(longitude=slice(70,100),latitude=slice(10,40))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "06a5ec91",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tp&#x27; (latitude: 61, longitude: 121)&gt;\n",
       "array([[1.28527329e-04, 1.30194346e-04, 1.31284661e-04, ...,\n",
       "        1.77387530e-04, 1.88195924e-04, 2.03702132e-04],\n",
       "       [1.23537092e-04, 1.23610636e-04, 1.26879176e-04, ...,\n",
       "        1.75683600e-04, 1.93786578e-04, 2.05055478e-04],\n",
       "       [1.16786083e-04, 1.19554600e-04, 1.22772953e-04, ...,\n",
       "        1.59476337e-04, 1.53367154e-04, 1.73227942e-04],\n",
       "       ...,\n",
       "       [2.03833875e-04, 1.57212094e-04, 1.61309689e-04, ...,\n",
       "        7.09239889e-05, 4.18086359e-05, 3.50044147e-05],\n",
       "       [1.89205030e-04, 1.56704297e-04, 1.56981556e-04, ...,\n",
       "        1.37877046e-05, 1.54023805e-05, 1.61929561e-05],\n",
       "       [9.25607193e-05, 9.60680177e-05, 1.15184786e-04, ...,\n",
       "        1.03860237e-05, 1.09818823e-05, 1.19369491e-05]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 70.0 70.25 70.5 70.75 ... 99.5 99.75 100.0\n",
       "  * latitude   (latitude) float64 10.0 10.5 11.0 11.5 ... 38.5 39.0 39.5 40.0</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'>'tp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 121</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c91d3f44-ef96-4c1f-9df9-dd1be5a09cfc' class='xr-array-in' type='checkbox' checked><label for='section-c91d3f44-ef96-4c1f-9df9-dd1be5a09cfc' 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>0.0001285 0.0001302 0.0001313 ... 1.039e-05 1.098e-05 1.194e-05</span></div><div class='xr-array-data'><pre>array([[1.28527329e-04, 1.30194346e-04, 1.31284661e-04, ...,\n",
       "        1.77387530e-04, 1.88195924e-04, 2.03702132e-04],\n",
       "       [1.23537092e-04, 1.23610636e-04, 1.26879176e-04, ...,\n",
       "        1.75683600e-04, 1.93786578e-04, 2.05055478e-04],\n",
       "       [1.16786083e-04, 1.19554600e-04, 1.22772953e-04, ...,\n",
       "        1.59476337e-04, 1.53367154e-04, 1.73227942e-04],\n",
       "       ...,\n",
       "       [2.03833875e-04, 1.57212094e-04, 1.61309689e-04, ...,\n",
       "        7.09239889e-05, 4.18086359e-05, 3.50044147e-05],\n",
       "       [1.89205030e-04, 1.56704297e-04, 1.56981556e-04, ...,\n",
       "        1.37877046e-05, 1.54023805e-05, 1.61929561e-05],\n",
       "       [9.25607193e-05, 9.60680177e-05, 1.15184786e-04, ...,\n",
       "        1.03860237e-05, 1.09818823e-05, 1.19369491e-05]])</pre></div></div></li><li class='xr-section-item'><input id='section-de1efa7a-b1fa-42c0-84c5-40a84221b3e6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de1efa7a-b1fa-42c0-84c5-40a84221b3e6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0 70.25 70.5 ... 99.75 100.0</div><input id='attrs-447dbd0b-8a1e-4c55-b3f5-65143bd14e17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-447dbd0b-8a1e-4c55-b3f5-65143bd14e17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbb5670d-9d42-40a9-b70b-ec222d0e8514' class='xr-var-data-in' type='checkbox'><label for='data-bbb5670d-9d42-40a9-b70b-ec222d0e8514' 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([ 70.  ,  70.25,  70.5 ,  70.75,  71.  ,  71.25,  71.5 ,  71.75,  72.  ,\n",
       "        72.25,  72.5 ,  72.75,  73.  ,  73.25,  73.5 ,  73.75,  74.  ,  74.25,\n",
       "        74.5 ,  74.75,  75.  ,  75.25,  75.5 ,  75.75,  76.  ,  76.25,  76.5 ,\n",
       "        76.75,  77.  ,  77.25,  77.5 ,  77.75,  78.  ,  78.25,  78.5 ,  78.75,\n",
       "        79.  ,  79.25,  79.5 ,  79.75,  80.  ,  80.25,  80.5 ,  80.75,  81.  ,\n",
       "        81.25,  81.5 ,  81.75,  82.  ,  82.25,  82.5 ,  82.75,  83.  ,  83.25,\n",
       "        83.5 ,  83.75,  84.  ,  84.25,  84.5 ,  84.75,  85.  ,  85.25,  85.5 ,\n",
       "        85.75,  86.  ,  86.25,  86.5 ,  86.75,  87.  ,  87.25,  87.5 ,  87.75,\n",
       "        88.  ,  88.25,  88.5 ,  88.75,  89.  ,  89.25,  89.5 ,  89.75,  90.  ,\n",
       "        90.25,  90.5 ,  90.75,  91.  ,  91.25,  91.5 ,  91.75,  92.  ,  92.25,\n",
       "        92.5 ,  92.75,  93.  ,  93.25,  93.5 ,  93.75,  94.  ,  94.25,  94.5 ,\n",
       "        94.75,  95.  ,  95.25,  95.5 ,  95.75,  96.  ,  96.25,  96.5 ,  96.75,\n",
       "        97.  ,  97.25,  97.5 ,  97.75,  98.  ,  98.25,  98.5 ,  98.75,  99.  ,\n",
       "        99.25,  99.5 ,  99.75, 100.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.5 11.0 ... 39.0 39.5 40.0</div><input id='attrs-5d8a7ea6-f634-44f4-afb2-3d58de5376c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d8a7ea6-f634-44f4-afb2-3d58de5376c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9506184-150a-435d-bf62-8647582bd754' class='xr-var-data-in' type='checkbox'><label for='data-e9506184-150a-435d-bf62-8647582bd754' 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([10. , 10.5, 11. , 11.5, 12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5,\n",
       "       16. , 16.5, 17. , 17.5, 18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5,\n",
       "       22. , 22.5, 23. , 23.5, 24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5,\n",
       "       28. , 28.5, 29. , 29.5, 30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5,\n",
       "       34. , 34.5, 35. , 35.5, 36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5,\n",
       "       40. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ea35d194-b0c2-4917-aaed-14c42db7b03b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ea35d194-b0c2-4917-aaed-14c42db7b03b' 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 'tp' (latitude: 61, longitude: 121)>\n",
       "array([[1.28527329e-04, 1.30194346e-04, 1.31284661e-04, ...,\n",
       "        1.77387530e-04, 1.88195924e-04, 2.03702132e-04],\n",
       "       [1.23537092e-04, 1.23610636e-04, 1.26879176e-04, ...,\n",
       "        1.75683600e-04, 1.93786578e-04, 2.05055478e-04],\n",
       "       [1.16786083e-04, 1.19554600e-04, 1.22772953e-04, ...,\n",
       "        1.59476337e-04, 1.53367154e-04, 1.73227942e-04],\n",
       "       ...,\n",
       "       [2.03833875e-04, 1.57212094e-04, 1.61309689e-04, ...,\n",
       "        7.09239889e-05, 4.18086359e-05, 3.50044147e-05],\n",
       "       [1.89205030e-04, 1.56704297e-04, 1.56981556e-04, ...,\n",
       "        1.37877046e-05, 1.54023805e-05, 1.61929561e-05],\n",
       "       [9.25607193e-05, 9.60680177e-05, 1.15184786e-04, ...,\n",
       "        1.03860237e-05, 1.09818823e-05, 1.19369491e-05]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 70.0 70.25 70.5 70.75 ... 99.5 99.75 100.0\n",
       "  * latitude   (latitude) float64 10.0 10.5 11.0 11.5 ... 38.5 39.0 39.5 40.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.tp.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b1a634f5",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tp&#x27; (latitude: 61, longitude: 121)&gt;\n",
       "array([[3.0846559 , 3.1246643 , 3.15083188, ..., 4.25730072, 4.51670219,\n",
       "        4.88885117],\n",
       "       [2.96489021, 2.96665526, 3.04510024, ..., 4.21640641, 4.65087786,\n",
       "        4.92133148],\n",
       "       [2.80286598, 2.86931039, 2.94655088, ..., 3.82743209, 3.6808117 ,\n",
       "        4.15747061],\n",
       "       ...,\n",
       "       [4.89201299, 3.77309025, 3.87143253, ..., 1.70217573, 1.00340726,\n",
       "        0.84010595],\n",
       "       [4.54092072, 3.76090313, 3.76755735, ..., 0.33090491, 0.36965713,\n",
       "        0.38863095],\n",
       "       [2.22145726, 2.30563243, 2.76443487, ..., 0.24926457, 0.26356518,\n",
       "        0.28648678]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 70.0 70.25 70.5 70.75 ... 99.5 99.75 100.0\n",
       "  * latitude   (latitude) float64 10.0 10.5 11.0 11.5 ... 38.5 39.0 39.5 40.0</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'>'tp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 61</li><li><span class='xr-has-index'>longitude</span>: 121</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8f45072e-c08c-49bb-a797-06efb85cadef' class='xr-array-in' type='checkbox' checked><label for='section-8f45072e-c08c-49bb-a797-06efb85cadef' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.085 3.125 3.151 3.192 3.249 ... 0.2434 0.2381 0.2493 0.2636 0.2865</span></div><div class='xr-array-data'><pre>array([[3.0846559 , 3.1246643 , 3.15083188, ..., 4.25730072, 4.51670219,\n",
       "        4.88885117],\n",
       "       [2.96489021, 2.96665526, 3.04510024, ..., 4.21640641, 4.65087786,\n",
       "        4.92133148],\n",
       "       [2.80286598, 2.86931039, 2.94655088, ..., 3.82743209, 3.6808117 ,\n",
       "        4.15747061],\n",
       "       ...,\n",
       "       [4.89201299, 3.77309025, 3.87143253, ..., 1.70217573, 1.00340726,\n",
       "        0.84010595],\n",
       "       [4.54092072, 3.76090313, 3.76755735, ..., 0.33090491, 0.36965713,\n",
       "        0.38863095],\n",
       "       [2.22145726, 2.30563243, 2.76443487, ..., 0.24926457, 0.26356518,\n",
       "        0.28648678]])</pre></div></div></li><li class='xr-section-item'><input id='section-fbd3d14d-b09e-4322-af1c-955e95b63e05' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fbd3d14d-b09e-4322-af1c-955e95b63e05' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0 70.25 70.5 ... 99.75 100.0</div><input id='attrs-9c5dd733-e663-4fa8-858c-7490b8c3991b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c5dd733-e663-4fa8-858c-7490b8c3991b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f2e8fbd-9f4c-47ee-b905-45af3a9ba92e' class='xr-var-data-in' type='checkbox'><label for='data-2f2e8fbd-9f4c-47ee-b905-45af3a9ba92e' 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([ 70.  ,  70.25,  70.5 ,  70.75,  71.  ,  71.25,  71.5 ,  71.75,  72.  ,\n",
       "        72.25,  72.5 ,  72.75,  73.  ,  73.25,  73.5 ,  73.75,  74.  ,  74.25,\n",
       "        74.5 ,  74.75,  75.  ,  75.25,  75.5 ,  75.75,  76.  ,  76.25,  76.5 ,\n",
       "        76.75,  77.  ,  77.25,  77.5 ,  77.75,  78.  ,  78.25,  78.5 ,  78.75,\n",
       "        79.  ,  79.25,  79.5 ,  79.75,  80.  ,  80.25,  80.5 ,  80.75,  81.  ,\n",
       "        81.25,  81.5 ,  81.75,  82.  ,  82.25,  82.5 ,  82.75,  83.  ,  83.25,\n",
       "        83.5 ,  83.75,  84.  ,  84.25,  84.5 ,  84.75,  85.  ,  85.25,  85.5 ,\n",
       "        85.75,  86.  ,  86.25,  86.5 ,  86.75,  87.  ,  87.25,  87.5 ,  87.75,\n",
       "        88.  ,  88.25,  88.5 ,  88.75,  89.  ,  89.25,  89.5 ,  89.75,  90.  ,\n",
       "        90.25,  90.5 ,  90.75,  91.  ,  91.25,  91.5 ,  91.75,  92.  ,  92.25,\n",
       "        92.5 ,  92.75,  93.  ,  93.25,  93.5 ,  93.75,  94.  ,  94.25,  94.5 ,\n",
       "        94.75,  95.  ,  95.25,  95.5 ,  95.75,  96.  ,  96.25,  96.5 ,  96.75,\n",
       "        97.  ,  97.25,  97.5 ,  97.75,  98.  ,  98.25,  98.5 ,  98.75,  99.  ,\n",
       "        99.25,  99.5 ,  99.75, 100.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.5 11.0 ... 39.0 39.5 40.0</div><input id='attrs-a63375ae-1e8b-450f-9245-c07d5d4f6535' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a63375ae-1e8b-450f-9245-c07d5d4f6535' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d70a27b6-98b0-448a-b141-38879cece151' class='xr-var-data-in' type='checkbox'><label for='data-d70a27b6-98b0-448a-b141-38879cece151' 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([10. , 10.5, 11. , 11.5, 12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5,\n",
       "       16. , 16.5, 17. , 17.5, 18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5,\n",
       "       22. , 22.5, 23. , 23.5, 24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5,\n",
       "       28. , 28.5, 29. , 29.5, 30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5,\n",
       "       34. , 34.5, 35. , 35.5, 36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5,\n",
       "       40. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0546ede4-b21c-4d94-97fc-3d6f013d8186' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0546ede4-b21c-4d94-97fc-3d6f013d8186' 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 'tp' (latitude: 61, longitude: 121)>\n",
       "array([[3.0846559 , 3.1246643 , 3.15083188, ..., 4.25730072, 4.51670219,\n",
       "        4.88885117],\n",
       "       [2.96489021, 2.96665526, 3.04510024, ..., 4.21640641, 4.65087786,\n",
       "        4.92133148],\n",
       "       [2.80286598, 2.86931039, 2.94655088, ..., 3.82743209, 3.6808117 ,\n",
       "        4.15747061],\n",
       "       ...,\n",
       "       [4.89201299, 3.77309025, 3.87143253, ..., 1.70217573, 1.00340726,\n",
       "        0.84010595],\n",
       "       [4.54092072, 3.76090313, 3.76755735, ..., 0.33090491, 0.36965713,\n",
       "        0.38863095],\n",
       "       [2.22145726, 2.30563243, 2.76443487, ..., 0.24926457, 0.26356518,\n",
       "        0.28648678]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 70.0 70.25 70.5 70.75 ... 99.5 99.75 100.0\n",
       "  * latitude   (latitude) float64 10.0 10.5 11.0 11.5 ... 38.5 39.0 39.5 40.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting from m to mm/day\n",
    "\n",
    "annual_pr_mm = annual_mean*1000*24\n",
    "annual_pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9d357dd5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(annual_pr_mm['longitude'][:], annual_pr_mm['latitude'][:],annual_pr_mm,\n",
    "                 levels=np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "#ax.add_feature(cfeature.STATES)\n",
    "\n",
    "plt.title('ERA5 Annual mean precip rate in mm/day')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_era5_annual_mean.png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c22ece9d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9f929777",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "301b3448",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e7c76b60",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6a27690",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}