bd_pr_mpiesm.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,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1970-01-01 1970-02-01 ... 2006-01-01\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:35:42 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-17050055-b2e3-46e9-b7f8-4adaceef56d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-17050055-b2e3-46e9-b7f8-4adaceef56d2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ecc2e6eb-a480-48cb-a1d0-6009f24dc085' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ecc2e6eb-a480-48cb-a1d0-6009f24dc085' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-94d2604d-a2ac-47d8-88b5-49eed00a87ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94d2604d-a2ac-47d8-88b5-49eed00a87ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dbc0d49-10c0-44d2-beca-fc1a90cbce95' class='xr-var-data-in' type='checkbox'><label for='data-4dbc0d49-10c0-44d2-beca-fc1a90cbce95' 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;1970-01-16T12:00:00.000000000&#x27;, &#x27;1970-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1970-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc9fa85a-a4cb-4a6a-9dab-e4fd559b18bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc9fa85a-a4cb-4a6a-9dab-e4fd559b18bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a734f4b2-b1ca-40de-b758-36ec1f5b6026' class='xr-var-data-in' type='checkbox'><label for='data-a734f4b2-b1ca-40de-b758-36ec1f5b6026' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08c0a694-498c-42f6-a592-b814bb684327' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08c0a694-498c-42f6-a592-b814bb684327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e18d14e4-ed48-411e-b0d3-2a44092206fd' class='xr-var-data-in' type='checkbox'><label for='data-e18d14e4-ed48-411e-b0d3-2a44092206fd' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-2a5db47b-9ede-4576-b757-456954c0750e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a5db47b-9ede-4576-b757-456954c0750e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-199ddb43-1dcd-4f77-ab1e-1b650cab2e05' class='xr-var-data-in' type='checkbox'><label for='data-199ddb43-1dcd-4f77-ab1e-1b650cab2e05' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-1c58b89f-4e80-4b68-bd5e-eaf12e9ff048' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c58b89f-4e80-4b68-bd5e-eaf12e9ff048' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64a53f26-c10f-4b89-a775-51a9723c5986' class='xr-var-data-in' type='checkbox'><label for='data-64a53f26-c10f-4b89-a775-51a9723c5986' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03185fc4-8af1-4b52-9cbc-01b1eea066e6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03185fc4-8af1-4b52-9cbc-01b1eea066e6' class='xr-section-summary' >Data variables: <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>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-fc6c6973-e6aa-4b32-88b3-be87cf27ca7c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc6c6973-e6aa-4b32-88b3-be87cf27ca7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0a1f02c-5631-4578-9049-28e315d9bac6' class='xr-var-data-in' type='checkbox'><label for='data-e0a1f02c-5631-4578-9049-28e315d9bac6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1970-02-01T00:00:00.000000000&#x27;, &#x27;1970-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1970-03-01T00:00:00.000000000&#x27;, &#x27;1970-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c91c3bb0-7e27-40dd-aed9-a99616ca7344' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c91c3bb0-7e27-40dd-aed9-a99616ca7344' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a349239-ba01-44ef-9812-ac62d50f9c49' class='xr-var-data-in' type='checkbox'><label for='data-9a349239-ba01-44ef-9812-ac62d50f9c49' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6e6a853-3f30-4fed-a57d-401388081306' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6e6a853-3f30-4fed-a57d-401388081306' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a986beb7-23da-419f-9b62-942b195210ec' class='xr-var-data-in' type='checkbox'><label for='data-a986beb7-23da-419f-9b62-942b195210ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[62455536 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c334ba06-d8eb-4604-a27b-fe3bfe327427' class='xr-section-summary-in' type='checkbox'  ><label for='section-c334ba06-d8eb-4604-a27b-fe3bfe327427' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-13T16:14:09Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>288.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
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       "<xarray.Dataset>\n",
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       "    CDI:                                             Climate Data Interface v...\n",
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       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
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       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
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     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/MPI-ESM-MR/mpiesm_pr_197001-200512.nc')\n",
    " \n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
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       "    ...                                              ...\n",
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       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-72d9853a-2108-484f-be3c-c84129f6b2de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-72d9853a-2108-484f-be3c-c84129f6b2de' 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>: 311</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6a0c8d63-f33e-4e0a-a07b-895c0aceac7c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a0c8d63-f33e-4e0a-a07b-895c0aceac7c' class='xr-section-summary' >Coordinates: <span>(5)</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 ... 2005-11-16</div><input id='attrs-3ce9d45c-aed2-4f1c-8109-486985108743' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ce9d45c-aed2-4f1c-8109-486985108743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d636a9b6-3096-4bba-bc0c-e6b9bd553865' class='xr-var-data-in' type='checkbox'><label for='data-d636a9b6-3096-4bba-bc0c-e6b9bd553865' 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;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-16T12:00:00.000000000&#x27;, &#x27;2005-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2515af59-8fe4-4728-9ea4-32cb3b72b108' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2515af59-8fe4-4728-9ea4-32cb3b72b108' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fa30af0-2e68-4b08-aa2a-cfef9293d924' class='xr-var-data-in' type='checkbox'><label for='data-0fa30af0-2e68-4b08-aa2a-cfef9293d924' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee9b2eb8-51b4-46c4-a01d-174144ab8a1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee9b2eb8-51b4-46c4-a01d-174144ab8a1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2916048-e043-44c2-9fdf-5f20985b5208' class='xr-var-data-in' type='checkbox'><label for='data-b2916048-e043-44c2-9fdf-5f20985b5208' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-6c60169b-0972-4408-aeb3-1a4c8e6ab247' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c60169b-0972-4408-aeb3-1a4c8e6ab247' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a3bb4cc-8977-41cc-b41a-c5f3cf0f95c6' class='xr-var-data-in' type='checkbox'><label for='data-2a3bb4cc-8977-41cc-b41a-c5f3cf0f95c6' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-4382f250-0313-4d64-8e42-a26a4bfcaa89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4382f250-0313-4d64-8e42-a26a4bfcaa89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4f14723-18c8-437b-a3cb-ac6b8ba11928' class='xr-var-data-in' type='checkbox'><label for='data-e4f14723-18c8-437b-a3cb-ac6b8ba11928' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b32686f-c93f-4080-a55e-3eb1ad05b6b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7b32686f-c93f-4080-a55e-3eb1ad05b6b0' class='xr-section-summary' >Data variables: <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>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'>1980-01-01 ... 2005-12-01</div><input id='attrs-d218c83e-cb2b-4f62-a2f1-5076bc8f7ab1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d218c83e-cb2b-4f62-a2f1-5076bc8f7ab1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a648b3d-2c9d-46da-84ae-be9a78cf3e03' class='xr-var-data-in' type='checkbox'><label for='data-2a648b3d-2c9d-46da-84ae-be9a78cf3e03' 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;1980-01-01T00:00:00.000000000&#x27;, &#x27;1980-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-02-01T00:00:00.000000000&#x27;, &#x27;1980-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-03-01T00:00:00.000000000&#x27;, &#x27;1980-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-f2e69575-2c13-4b8d-aafa-a73c3e5b164a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2e69575-2c13-4b8d-aafa-a73c3e5b164a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d454f32-edd4-4cdb-867d-d0755f6d8d1d' class='xr-var-data-in' type='checkbox'><label for='data-2d454f32-edd4-4cdb-867d-d0755f6d8d1d' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf386b27-9174-4d50-a51c-818051ad206a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf386b27-9174-4d50-a51c-818051ad206a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc03822b-2c83-4a82-aae2-9a4d27d7851b' class='xr-var-data-in' type='checkbox'><label for='data-cc03822b-2c83-4a82-aae2-9a4d27d7851b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[44962203 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-347c34e8-883e-4906-9476-85fdebbcb371' class='xr-section-summary-in' type='checkbox'  ><label for='section-347c34e8-883e-4906-9476-85fdebbcb371' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-13T16:14:09Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>288.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 311, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2005-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01 1980-02-01 ... 2005-12-01\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:35:42 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 3,
     "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','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       ".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: 104, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2005-09-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01 1980-07-01 ... 2005-10-01\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:35:42 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3e944529-4824-48fd-83aa-26dbb1fb42e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3e944529-4824-48fd-83aa-26dbb1fb42e2' 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>: 104</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1f37e7e4-c57c-4e25-a0d2-beff49f7a2c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1f37e7e4-c57c-4e25-a0d2-beff49f7a2c4' class='xr-section-summary' >Coordinates: <span>(5)</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 ... 2005-09-16</div><input id='attrs-6296aa0f-37ee-46d2-962a-17dc745f7683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6296aa0f-37ee-46d2-962a-17dc745f7683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bdc6c16-ff8e-4361-b074-14f8d56ea6e6' class='xr-var-data-in' type='checkbox'><label for='data-7bdc6c16-ff8e-4361-b074-14f8d56ea6e6' 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",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d44bd78-701d-46f4-8c4e-629b25aaaf15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d44bd78-701d-46f4-8c4e-629b25aaaf15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3fce67f-e05a-4e1f-b733-6d3b0c206227' class='xr-var-data-in' type='checkbox'><label for='data-f3fce67f-e05a-4e1f-b733-6d3b0c206227' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbea2673-f85e-4835-9572-a29e7cedf93e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbea2673-f85e-4835-9572-a29e7cedf93e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-039e55c7-f8b2-408d-95d9-dc74afd216f1' class='xr-var-data-in' type='checkbox'><label for='data-039e55c7-f8b2-408d-95d9-dc74afd216f1' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-a71c6a40-d04b-4e57-8eba-c8d70d0ae604' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a71c6a40-d04b-4e57-8eba-c8d70d0ae604' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68776608-848b-4d13-93ac-6358ed029056' class='xr-var-data-in' type='checkbox'><label for='data-68776608-848b-4d13-93ac-6358ed029056' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-60254ba3-a1ad-4331-9f6e-469a46d64266' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60254ba3-a1ad-4331-9f6e-469a46d64266' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7eb33bd8-019d-42ad-a843-073b876655f5' class='xr-var-data-in' type='checkbox'><label for='data-7eb33bd8-019d-42ad-a843-073b876655f5' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-792cda16-eef6-402b-b5dc-839bb4b34494' class='xr-section-summary-in' type='checkbox'  checked><label for='section-792cda16-eef6-402b-b5dc-839bb4b34494' class='xr-section-summary' >Data variables: <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>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'>1980-06-01 ... 2005-10-01</div><input id='attrs-f1d6938b-134f-4dd8-b234-d69dd7ee0655' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1d6938b-134f-4dd8-b234-d69dd7ee0655' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-534223c4-7022-4220-a42b-12b36a552fe3' class='xr-var-data-in' type='checkbox'><label for='data-534223c4-7022-4220-a42b-12b36a552fe3' 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;1980-06-01T00:00:00.000000000&#x27;, &#x27;1980-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-07-01T00:00:00.000000000&#x27;, &#x27;1980-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-08-01T00:00:00.000000000&#x27;, &#x27;1980-09-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-d38ff8a6-7df2-4c4b-9c94-c8280e2d1c6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d38ff8a6-7df2-4c4b-9c94-c8280e2d1c6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13a3d025-941b-4220-82ef-861445dfc533' class='xr-var-data-in' type='checkbox'><label for='data-13a3d025-941b-4220-82ef-861445dfc533' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6fb1f91-cbba-4753-b5c4-5e1dd283c8b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6fb1f91-cbba-4753-b5c4-5e1dd283c8b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54d59a8c-8df8-48b7-b1c4-9fd02b5ffb7b' class='xr-var-data-in' type='checkbox'><label for='data-54d59a8c-8df8-48b7-b1c4-9fd02b5ffb7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[15035592 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e3bf884-56f9-4745-b321-62782a0bada2' class='xr-section-summary-in' type='checkbox'  ><label for='section-8e3bf884-56f9-4745-b321-62782a0bada2' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-13T16:14:09Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>288.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 104, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2005-09-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01 1980-07-01 ... 2005-10-01\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:35:42 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data[\"pr\"][\"x\"][379:429].values\n",
    "#data[\"pr\"][\"y\"][237:337].values\n",
    "#data[\"pr\"][\"time\"].values\n",
    "#jjas_data[\"pr\"][\"lat\"][:].values\n",
    "\n",
    "#jjas_data[\"pr\"][\"lon\"][:].values\n",
    "\n",
    "\n",
    "#data[\"pr\"][\"x\"].values\n",
    "\n",
    "#data.x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data[\"pr\"][\"y\"][287:337].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(4125000.,5350000.),y=slice(2975000.,4200000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "\n",
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       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
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       "\n",
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       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
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       "\n",
       ".xr-header {\n",
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       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
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       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
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       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
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       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-item input + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "\n",
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       "  color: var(--xr-font-color0);\n",
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       "\n",
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       "  font-weight: 500;\n",
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       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
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       "\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",
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       "\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",
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       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\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",
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       "\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",
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       "\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",
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       "\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",
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       "\n",
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       "\n",
       ".xr-var-dims {\n",
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       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
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       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
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       "\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",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\n",
       ".xr-attrs,\n",
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       ".xr-var-data {\n",
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       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[8.71103402e-05, 7.87292811e-05, 7.69850740e-05, ...,\n",
       "        7.52129417e-05, 7.03945407e-05, 6.82432874e-05],\n",
       "       [7.57600719e-05, 5.83261753e-05, 5.44166905e-05, ...,\n",
       "        5.43950082e-05, 5.44426912e-05, 5.91095886e-05],\n",
       "       [7.41466720e-05, 5.33213206e-05, 4.40203221e-05, ...,\n",
       "        4.42095552e-05, 5.00579226e-05, 5.73444559e-05],\n",
       "       ...,\n",
       "       [1.05750580e-04, 1.03119724e-04, 8.21250578e-05, ...,\n",
       "        2.80323642e-04, 3.69038229e-04, 4.90308099e-04],\n",
       "       [1.38051939e-04, 1.17543554e-04, 9.96558229e-05, ...,\n",
       "        3.07466515e-04, 3.86339554e-04, 5.14076033e-04],\n",
       "       [1.85288125e-04, 1.73252221e-04, 1.24946877e-04, ...,\n",
       "        4.06157022e-04, 4.94219945e-04, 5.93915291e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e31d62b4-6061-45b5-85c0-c777c15670d0' class='xr-array-in' type='checkbox' checked><label for='section-e31d62b4-6061-45b5-85c0-c777c15670d0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>8.711e-05 7.873e-05 7.699e-05 ... 0.0004062 0.0004942 0.0005939</span></div><div class='xr-array-data'><pre>array([[8.71103402e-05, 7.87292811e-05, 7.69850740e-05, ...,\n",
       "        7.52129417e-05, 7.03945407e-05, 6.82432874e-05],\n",
       "       [7.57600719e-05, 5.83261753e-05, 5.44166905e-05, ...,\n",
       "        5.43950082e-05, 5.44426912e-05, 5.91095886e-05],\n",
       "       [7.41466720e-05, 5.33213206e-05, 4.40203221e-05, ...,\n",
       "        4.42095552e-05, 5.00579226e-05, 5.73444559e-05],\n",
       "       ...,\n",
       "       [1.05750580e-04, 1.03119724e-04, 8.21250578e-05, ...,\n",
       "        2.80323642e-04, 3.69038229e-04, 4.90308099e-04],\n",
       "       [1.38051939e-04, 1.17543554e-04, 9.96558229e-05, ...,\n",
       "        3.07466515e-04, 3.86339554e-04, 5.14076033e-04],\n",
       "       [1.85288125e-04, 1.73252221e-04, 1.24946877e-04, ...,\n",
       "        4.06157022e-04, 4.94219945e-04, 5.93915291e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-458c354b-50a4-4bf9-90a0-2d96b8837596' class='xr-section-summary-in' type='checkbox'  checked><label for='section-458c354b-50a4-4bf9-90a0-2d96b8837596' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4cb1478-12e5-4817-9dd0-36e5f67ced14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4cb1478-12e5-4817-9dd0-36e5f67ced14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-757dc200-a161-4862-9e9f-548026f9be98' class='xr-var-data-in' type='checkbox'><label for='data-757dc200-a161-4862-9e9f-548026f9be98' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-897ba58b-86b9-494b-946f-3a986cd5f750' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-897ba58b-86b9-494b-946f-3a986cd5f750' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d98a989-de27-49c7-8c08-849fac5ec68c' class='xr-var-data-in' type='checkbox'><label for='data-2d98a989-de27-49c7-8c08-849fac5ec68c' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-f9928e56-079d-4f3f-ac68-396a5d7263af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9928e56-079d-4f3f-ac68-396a5d7263af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be00710d-6088-4ded-8911-d233747d2114' class='xr-var-data-in' type='checkbox'><label for='data-be00710d-6088-4ded-8911-d233747d2114' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-ab5f9bb2-06fd-46cb-b794-6e9dee98048f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab5f9bb2-06fd-46cb-b794-6e9dee98048f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-424f5c6b-f6c0-494f-9d66-a2f6da38e6d3' class='xr-var-data-in' type='checkbox'><label for='data-424f5c6b-f6c0-494f-9d66-a2f6da38e6d3' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37587d6d-3a35-483c-abd9-f0c3feb24308' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-37587d6d-3a35-483c-abd9-f0c3feb24308' 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>"
      ],
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       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[8.71103402e-05, 7.87292811e-05, 7.69850740e-05, ...,\n",
       "        7.52129417e-05, 7.03945407e-05, 6.82432874e-05],\n",
       "       [7.57600719e-05, 5.83261753e-05, 5.44166905e-05, ...,\n",
       "        5.43950082e-05, 5.44426912e-05, 5.91095886e-05],\n",
       "       [7.41466720e-05, 5.33213206e-05, 4.40203221e-05, ...,\n",
       "        4.42095552e-05, 5.00579226e-05, 5.73444559e-05],\n",
       "       ...,\n",
       "       [1.05750580e-04, 1.03119724e-04, 8.21250578e-05, ...,\n",
       "        2.80323642e-04, 3.69038229e-04, 4.90308099e-04],\n",
       "       [1.38051939e-04, 1.17543554e-04, 9.96558229e-05, ...,\n",
       "        3.07466515e-04, 3.86339554e-04, 5.14076033e-04],\n",
       "       [1.85288125e-04, 1.73252221e-04, 1.24946877e-04, ...,\n",
       "        4.06157022e-04, 4.94219945e-04, 5.93915291e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The pr is given in kg m $^{-2}$  s $^{-1}$ so we have to convert it into mm/day.\n",
    "\n",
    "The formula is 1 kgm$^{-2}$ s$^{-1}$  = 86400 mm/day. \n",
    "\n",
    "so we have to divide pr value by 86400\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-964efa51-b2ad-4cb5-bb31-c082c4ccfe32' class='xr-array-in' type='checkbox' checked><label for='section-964efa51-b2ad-4cb5-bb31-c082c4ccfe32' 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>7.526 6.802 6.652 6.198 6.012 6.27 ... 30.08 30.43 35.09 42.7 51.31</span></div><div class='xr-array-data'><pre>array([[ 7.5263334 ,  6.80220989,  6.65151039, ...,  6.49839817,\n",
       "         6.08208831,  5.89622003],\n",
       "       [ 6.54567021,  5.03938155,  4.70160206, ...,  4.69972871,\n",
       "         4.70384852,  5.10706846],\n",
       "       [ 6.40627246,  4.6069621 ,  3.80335583, ...,  3.81970557,\n",
       "         4.32500452,  4.95456099],\n",
       "       ...,\n",
       "       [ 9.13685008,  8.90954419,  7.095605  , ..., 24.21996268,\n",
       "        31.884903  , 42.36261975],\n",
       "       [11.92768752, 10.15576303,  8.61026309, ..., 26.56510687,\n",
       "        33.37973747, 44.41616926],\n",
       "       [16.00889401, 14.96899193, 10.79541016, ..., 35.09196667,\n",
       "        42.70060323, 51.31428111]])</pre></div></div></li><li class='xr-section-item'><input id='section-3dc7b7a4-851d-4fe8-92dc-5dadde024ee4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3dc7b7a4-851d-4fe8-92dc-5dadde024ee4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-415c1272-120b-42f5-b174-a0fc623c74db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-415c1272-120b-42f5-b174-a0fc623c74db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-962c4f3c-0208-46f8-85c3-cae9f2c57502' class='xr-var-data-in' type='checkbox'><label for='data-962c4f3c-0208-46f8-85c3-cae9f2c57502' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-355a5fc4-1480-4bbf-887e-842eff452313' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-355a5fc4-1480-4bbf-887e-842eff452313' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-895aa395-de0a-4a12-a3d1-47da9c7dc5cf' class='xr-var-data-in' type='checkbox'><label for='data-895aa395-de0a-4a12-a3d1-47da9c7dc5cf' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-5622aa3b-560e-4cd6-a348-c0c3a19b9dbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5622aa3b-560e-4cd6-a348-c0c3a19b9dbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23125096-d5f4-499e-876f-b948a7ee2e9e' class='xr-var-data-in' type='checkbox'><label for='data-23125096-d5f4-499e-876f-b948a7ee2e9e' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-e798ed40-f5ce-4c78-bab4-f0a9ca4867f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e798ed40-f5ce-4c78-bab4-f0a9ca4867f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fd7ce36-3e61-4308-84f2-f1248bb79314' class='xr-var-data-in' type='checkbox'><label for='data-4fd7ce36-3e61-4308-84f2-f1248bb79314' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc7d60ba-1962-44aa-b90b-f22776e0aacc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc7d60ba-1962-44aa-b90b-f22776e0aacc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[ 7.5263334 ,  6.80220989,  6.65151039, ...,  6.49839817,\n",
       "         6.08208831,  5.89622003],\n",
       "       [ 6.54567021,  5.03938155,  4.70160206, ...,  4.69972871,\n",
       "         4.70384852,  5.10706846],\n",
       "       [ 6.40627246,  4.6069621 ,  3.80335583, ...,  3.81970557,\n",
       "         4.32500452,  4.95456099],\n",
       "       ...,\n",
       "       [ 9.13685008,  8.90954419,  7.095605  , ..., 24.21996268,\n",
       "        31.884903  , 42.36261975],\n",
       "       [11.92768752, 10.15576303,  8.61026309, ..., 26.56510687,\n",
       "        33.37973747, 44.41616926],\n",
       "       [16.00889401, 14.96899193, 10.79541016, ..., 35.09196667,\n",
       "        42.70060323, 51.31428111]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_mm = jjas_mean*86400\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting with cartopy jjas_pr_mean\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\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['lon'][:], pr_mm['lat'][:],pr_mm,\n",
    "                 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",
    "\n",
    "plt.title('RegCM(MPIESM) Mean jjas precip')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_mpiesm_jjas_mean.png\")\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I will plot the annual precipitation rate in mm/day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[2.59601104e-04, 2.37134591e-04, 2.29580633e-04, ...,\n",
       "        5.52985148e-05, 5.13305822e-05, 5.31753394e-05],\n",
       "       [2.26587232e-04, 1.78351227e-04, 1.66579921e-04, ...,\n",
       "        3.92699039e-05, 4.06775471e-05, 4.98275367e-05],\n",
       "       [2.36121021e-04, 1.78194619e-04, 1.43157464e-04, ...,\n",
       "        3.28995229e-05, 3.98426964e-05, 4.89791855e-05],\n",
       "       ...,\n",
       "       [1.16561663e-04, 1.19586206e-04, 1.09277535e-04, ...,\n",
       "        1.18929740e-04, 1.55414920e-04, 2.03335643e-04],\n",
       "       [1.58811905e-04, 1.39147960e-04, 1.29994820e-04, ...,\n",
       "        1.29947264e-04, 1.62776458e-04, 2.12723869e-04],\n",
       "       [2.12772531e-04, 1.97752757e-04, 1.59261865e-04, ...,\n",
       "        1.68857892e-04, 2.06070574e-04, 2.45421747e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4941b797-6048-44f6-8869-37af3eaace0c' class='xr-array-in' type='checkbox' checked><label for='section-4941b797-6048-44f6-8869-37af3eaace0c' 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>0.0002596 0.0002371 0.0002296 ... 0.0001689 0.0002061 0.0002454</span></div><div class='xr-array-data'><pre>array([[2.59601104e-04, 2.37134591e-04, 2.29580633e-04, ...,\n",
       "        5.52985148e-05, 5.13305822e-05, 5.31753394e-05],\n",
       "       [2.26587232e-04, 1.78351227e-04, 1.66579921e-04, ...,\n",
       "        3.92699039e-05, 4.06775471e-05, 4.98275367e-05],\n",
       "       [2.36121021e-04, 1.78194619e-04, 1.43157464e-04, ...,\n",
       "        3.28995229e-05, 3.98426964e-05, 4.89791855e-05],\n",
       "       ...,\n",
       "       [1.16561663e-04, 1.19586206e-04, 1.09277535e-04, ...,\n",
       "        1.18929740e-04, 1.55414920e-04, 2.03335643e-04],\n",
       "       [1.58811905e-04, 1.39147960e-04, 1.29994820e-04, ...,\n",
       "        1.29947264e-04, 1.62776458e-04, 2.12723869e-04],\n",
       "       [2.12772531e-04, 1.97752757e-04, 1.59261865e-04, ...,\n",
       "        1.68857892e-04, 2.06070574e-04, 2.45421747e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2e21a0ed-5b41-4341-8be9-8b9b87335371' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e21a0ed-5b41-4341-8be9-8b9b87335371' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47333bd0-00cb-4320-ac02-123cb909b289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47333bd0-00cb-4320-ac02-123cb909b289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e6d0bcd-69f1-439e-bcf3-ad0e76ff7a79' class='xr-var-data-in' type='checkbox'><label for='data-2e6d0bcd-69f1-439e-bcf3-ad0e76ff7a79' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71e65984-90f4-44f8-8f2b-5aa881207759' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71e65984-90f4-44f8-8f2b-5aa881207759' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-502c7602-1774-4205-a09a-68f90fb7ed1b' class='xr-var-data-in' type='checkbox'><label for='data-502c7602-1774-4205-a09a-68f90fb7ed1b' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-c3ce88e3-d66a-4e53-8617-7d95e8bfd0fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3ce88e3-d66a-4e53-8617-7d95e8bfd0fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36e2d8a2-4286-4a04-a5cb-d37b1fec6040' class='xr-var-data-in' type='checkbox'><label for='data-36e2d8a2-4286-4a04-a5cb-d37b1fec6040' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-79441478-7365-4f58-93c9-54e817d89b3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79441478-7365-4f58-93c9-54e817d89b3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c9540be-abf1-45a7-9217-986373e04956' class='xr-var-data-in' type='checkbox'><label for='data-7c9540be-abf1-45a7-9217-986373e04956' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-73dc0586-93c8-4300-b8f4-3909922944e1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-73dc0586-93c8-4300-b8f4-3909922944e1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[2.59601104e-04, 2.37134591e-04, 2.29580633e-04, ...,\n",
       "        5.52985148e-05, 5.13305822e-05, 5.31753394e-05],\n",
       "       [2.26587232e-04, 1.78351227e-04, 1.66579921e-04, ...,\n",
       "        3.92699039e-05, 4.06775471e-05, 4.98275367e-05],\n",
       "       [2.36121021e-04, 1.78194619e-04, 1.43157464e-04, ...,\n",
       "        3.28995229e-05, 3.98426964e-05, 4.89791855e-05],\n",
       "       ...,\n",
       "       [1.16561663e-04, 1.19586206e-04, 1.09277535e-04, ...,\n",
       "        1.18929740e-04, 1.55414920e-04, 2.03335643e-04],\n",
       "       [1.58811905e-04, 1.39147960e-04, 1.29994820e-04, ...,\n",
       "        1.29947264e-04, 1.62776458e-04, 2.12723869e-04],\n",
       "       [2.12772531e-04, 1.97752757e-04, 1.59261865e-04, ...,\n",
       "        1.68857892e-04, 2.06070574e-04, 2.45421747e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.pr.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
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       "\n",
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       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
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       "\n",
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       "  padding-bottom: 6px;\n",
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       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
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       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
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       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-item input + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
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       "\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
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       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
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       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
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       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
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       "\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",
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       "\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",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
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       "\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",
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       "\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",
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       "\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",
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       "\n",
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       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
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       "\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",
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       "\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",
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       "\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",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\n",
       ".xr-attrs,\n",
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       ".xr-var-data {\n",
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       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[22.42953535, 20.48842865, 19.83576673, ...,  4.77779168,\n",
       "         4.4349623 ,  4.59434933],\n",
       "       [19.57713682, 15.40954602, 14.39250517, ...,  3.3929197 ,\n",
       "         3.51454007,  4.30509917],\n",
       "       [20.4008562 , 15.39601511, 12.36880487, ...,  2.84251878,\n",
       "         3.44240897,  4.23180163],\n",
       "       ...,\n",
       "       [10.0709277 , 10.3322482 ,  9.44157899, ..., 10.27552953,\n",
       "        13.42784911, 17.56819957],\n",
       "       [13.72134858, 12.02238374, 11.23155244, ..., 11.22744363,\n",
       "        14.06388595, 18.37934232],\n",
       "       [18.38354669, 17.08583822, 13.7602251 , ..., 14.58932189,\n",
       "        17.80449757, 21.2044389 ]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4854e912-b000-4d4c-88c9-36a2cd878412' class='xr-array-in' type='checkbox' checked><label for='section-4854e912-b000-4d4c-88c9-36a2cd878412' 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>22.43 20.49 19.84 18.07 18.0 19.39 ... 12.53 12.62 14.59 17.8 21.2</span></div><div class='xr-array-data'><pre>array([[22.42953535, 20.48842865, 19.83576673, ...,  4.77779168,\n",
       "         4.4349623 ,  4.59434933],\n",
       "       [19.57713682, 15.40954602, 14.39250517, ...,  3.3929197 ,\n",
       "         3.51454007,  4.30509917],\n",
       "       [20.4008562 , 15.39601511, 12.36880487, ...,  2.84251878,\n",
       "         3.44240897,  4.23180163],\n",
       "       ...,\n",
       "       [10.0709277 , 10.3322482 ,  9.44157899, ..., 10.27552953,\n",
       "        13.42784911, 17.56819957],\n",
       "       [13.72134858, 12.02238374, 11.23155244, ..., 11.22744363,\n",
       "        14.06388595, 18.37934232],\n",
       "       [18.38354669, 17.08583822, 13.7602251 , ..., 14.58932189,\n",
       "        17.80449757, 21.2044389 ]])</pre></div></div></li><li class='xr-section-item'><input id='section-26b4bd5c-42d2-417c-89c7-5c01cf1af09b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26b4bd5c-42d2-417c-89c7-5c01cf1af09b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f182d84a-c743-498e-a8a4-5da6a9fbcd5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f182d84a-c743-498e-a8a4-5da6a9fbcd5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e288c06-e488-4c6e-b4b8-6f045cf886ed' class='xr-var-data-in' type='checkbox'><label for='data-4e288c06-e488-4c6e-b4b8-6f045cf886ed' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61434ece-c275-40b8-a0dc-540d6cae258b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61434ece-c275-40b8-a0dc-540d6cae258b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c450dbe0-c576-4071-acdb-b25483786689' class='xr-var-data-in' type='checkbox'><label for='data-c450dbe0-c576-4071-acdb-b25483786689' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-1c01f6f9-965f-4042-8086-e6708f273690' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c01f6f9-965f-4042-8086-e6708f273690' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ac0e776-7457-4ce3-9860-cb4b4dac55ae' class='xr-var-data-in' type='checkbox'><label for='data-2ac0e776-7457-4ce3-9860-cb4b4dac55ae' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-9f076808-fb6a-418c-bbab-c72b2b587d19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f076808-fb6a-418c-bbab-c72b2b587d19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a85ad8b-8960-4600-afc1-379367f4c91e' class='xr-var-data-in' type='checkbox'><label for='data-3a85ad8b-8960-4600-afc1-379367f4c91e' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f123b80-869e-47c7-97a8-da84b0943453' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f123b80-869e-47c7-97a8-da84b0943453' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[22.42953535, 20.48842865, 19.83576673, ...,  4.77779168,\n",
       "         4.4349623 ,  4.59434933],\n",
       "       [19.57713682, 15.40954602, 14.39250517, ...,  3.3929197 ,\n",
       "         3.51454007,  4.30509917],\n",
       "       [20.4008562 , 15.39601511, 12.36880487, ...,  2.84251878,\n",
       "         3.44240897,  4.23180163],\n",
       "       ...,\n",
       "       [10.0709277 , 10.3322482 ,  9.44157899, ..., 10.27552953,\n",
       "        13.42784911, 17.56819957],\n",
       "       [13.72134858, 12.02238374, 11.23155244, ..., 11.22744363,\n",
       "        14.06388595, 18.37934232],\n",
       "       [18.38354669, 17.08583822, 13.7602251 , ..., 14.58932189,\n",
       "        17.80449757, 21.2044389 ]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting from kgm-2s-2 to mm/day\n",
    "\n",
    "annual_pr_mm = annual_mean*86400\n",
    "annual_pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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['lon'], annual_pr_mm['lat'],annual_pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "#plt.title('RegCM(MPIESM) Annual mean precip rate in mm/day',fontweight='bold', fontsize=15)\n",
    "\n",
    "\n",
    "plt.title('RegCM(MPIESM) Annual mean precip rate in mm/day')\n",
    "\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_mpiesm_annual_mean.png\")\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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"
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 },
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}