clim680_A1.ipynb

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   "source": [
    "## Import Labraries"
   ]
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   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cart\n",
    "import cartopy.io.img_tiles as cimgt\n",
    "from cartopy.util import add_cyclic_point\n",
    "import cartopy.mpl.ticker as cticker\n",
    "import calendar"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## Open the dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For this assignment I am using Sea Surface Temperature for 2023."
   ]
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   "execution_count": 4,
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    "tags": []
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 829MB\n",
       "Dimensions:     (valid_time: 716, latitude: 201, longitude: 1440)\n",
       "Coordinates:\n",
       "    number      int64 8B ...\n",
       "  * valid_time  (valid_time) datetime64[ns] 6kB 2023-01-01 ... 2023-12-30T12:...\n",
       "  * latitude    (latitude) float64 2kB 90.0 89.75 89.5 89.25 ... 40.5 40.25 40.0\n",
       "  * longitude   (longitude) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8\n",
       "    expver      (valid_time) &lt;U4 11kB ...\n",
       "Data variables:\n",
       "    sst         (valid_time, latitude, longitude) float32 829MB ...\n",
       "Attributes:\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.1...</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-fbe332a7-f301-4476-b7df-8f539509a1d8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fbe332a7-f301-4476-b7df-8f539509a1d8' 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'>valid_time</span>: 716</li><li><span class='xr-has-index'>latitude</span>: 201</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7f54f3f6-ccf8-4f2e-a06d-21eaaea9c532' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7f54f3f6-ccf8-4f2e-a06d-21eaaea9c532' 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>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0e802564-6a7b-4f32-9d89-cd156a8ecb67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e802564-6a7b-4f32-9d89-cd156a8ecb67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-599fc3cc-491f-4ea1-b518-0946483a9c77' class='xr-var-data-in' type='checkbox'><label for='data-599fc3cc-491f-4ea1-b518-0946483a9c77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-01 ... 2023-12-30T12:00:00</div><input id='attrs-c6e22eb4-6593-45bc-95d6-ffdbfad29e5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6e22eb4-6593-45bc-95d6-ffdbfad29e5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b802819-4cea-4e47-a522-ca1ccd068adc' class='xr-var-data-in' type='checkbox'><label for='data-2b802819-4cea-4e47-a522-ca1ccd068adc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-01-01T00:00:00.000000000&#x27;, &#x27;2023-01-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-02T00:00:00.000000000&#x27;, ..., &#x27;2023-12-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;2023-12-30T00:00:00.000000000&#x27;, &#x27;2023-12-30T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... 40.5 40.25 40.0</div><input id='attrs-3601dcfd-6596-4802-8b9e-bc9fe14418d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3601dcfd-6596-4802-8b9e-bc9fe14418d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b050a35-7f08-474d-8e99-9cd6e0cfe5db' class='xr-var-data-in' type='checkbox'><label for='data-6b050a35-7f08-474d-8e99-9cd6e0cfe5db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([90.  , 89.75, 89.5 , ..., 40.5 , 40.25, 40.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.5 179.8</div><input id='attrs-0c9033cb-1198-4b42-9bc6-b382797eb0ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c9033cb-1198-4b42-9bc6-b382797eb0ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fbbd376-a5c4-424f-b53c-9db65f50e25e' class='xr-var-data-in' type='checkbox'><label for='data-6fbbd376-a5c4-424f-b53c-9db65f50e25e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180.  , -179.75, -179.5 , ...,  179.25,  179.5 ,  179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>expver</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30227ed7-6625-48ab-b958-7f355867b142' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30227ed7-6625-48ab-b958-7f355867b142' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24e5f3a4-6999-4807-89d0-edd9b870e297' class='xr-var-data-in' type='checkbox'><label for='data-24e5f3a4-6999-4807-89d0-edd9b870e297' 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>[716 values with dtype=&lt;U4]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-311218e1-d9a5-4baa-909b-42c7126933e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-311218e1-d9a5-4baa-909b-42c7126933e5' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5ba15fa-ff42-4527-861f-44bfd2801399' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5ba15fa-ff42-4527-861f-44bfd2801399' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-328b241b-e932-4bfc-9979-f087f2c7f599' class='xr-var-data-in' type='checkbox'><label for='data-328b241b-e932-4bfc-9979-f087f2c7f599' 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>GRIB_paramId :</span></dt><dd>34</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>289440</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>201</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sst</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>40.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sea surface temperature</dd><dt><span>GRIB_shortName :</span></dt><dd>sst</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Sea surface temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>GRIB_surface :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[207239040 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9bf2ac93-edce-44b5-8024-f9b044cc4c2d' class='xr-section-summary-in' type='checkbox'  ><label for='section-9bf2ac93-edce-44b5-8024-f9b044cc4c2d' class='xr-section-summary' >Indexes: <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-index-name'><div>valid_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a691b4da-1b6f-41b5-abcb-0527f11887cd' class='xr-index-data-in' type='checkbox'/><label for='index-a691b4da-1b6f-41b5-abcb-0527f11887cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-01-01 00:00:00&#x27;, &#x27;2023-01-01 12:00:00&#x27;,\n",
       "               &#x27;2023-01-02 00:00:00&#x27;, &#x27;2023-01-02 12:00:00&#x27;,\n",
       "               &#x27;2023-01-03 00:00:00&#x27;, &#x27;2023-01-03 12:00:00&#x27;,\n",
       "               &#x27;2023-01-04 00:00:00&#x27;, &#x27;2023-01-04 12:00:00&#x27;,\n",
       "               &#x27;2023-01-05 00:00:00&#x27;, &#x27;2023-01-05 12:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2023-12-26 00:00:00&#x27;, &#x27;2023-12-26 12:00:00&#x27;,\n",
       "               &#x27;2023-12-27 00:00:00&#x27;, &#x27;2023-12-27 12:00:00&#x27;,\n",
       "               &#x27;2023-12-28 00:00:00&#x27;, &#x27;2023-12-28 12:00:00&#x27;,\n",
       "               &#x27;2023-12-29 00:00:00&#x27;, &#x27;2023-12-29 12:00:00&#x27;,\n",
       "               &#x27;2023-12-30 00:00:00&#x27;, &#x27;2023-12-30 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;valid_time&#x27;, length=716, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fc939949-9700-42fc-a141-b6b84c61efac' class='xr-index-data-in' type='checkbox'/><label for='index-fc939949-9700-42fc-a141-b6b84c61efac' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 90.0, 89.75,  89.5, 89.25,  89.0, 88.75,  88.5, 88.25,  88.0, 87.75,\n",
       "       ...\n",
       "       42.25,  42.0, 41.75,  41.5, 41.25,  41.0, 40.75,  40.5, 40.25,  40.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=201))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-683032fe-e9ae-46ac-894e-2f94ff812df3' class='xr-index-data-in' type='checkbox'/><label for='index-683032fe-e9ae-46ac-894e-2f94ff812df3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -180.0, -179.75,  -179.5, -179.25,  -179.0, -178.75,  -178.5, -178.25,\n",
       "        -178.0, -177.75,\n",
       "       ...\n",
       "         177.5,  177.75,   178.0,  178.25,   178.5,  178.75,   179.0,  179.25,\n",
       "         179.5,  179.75],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebc3c641-695c-4697-9cf0-a7b9e302f691' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ebc3c641-695c-4697-9cf0-a7b9e302f691' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.14.1/ecCodes-2.36.0 with {&quot;source&quot;: &quot;data.grib&quot;, &quot;filter_by_keys&quot;: {&quot;stream&quot;: [&quot;oper&quot;]}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 829MB\n",
       "Dimensions:     (valid_time: 716, latitude: 201, longitude: 1440)\n",
       "Coordinates:\n",
       "    number      int64 8B ...\n",
       "  * valid_time  (valid_time) datetime64[ns] 6kB 2023-01-01 ... 2023-12-30T12:...\n",
       "  * latitude    (latitude) float64 2kB 90.0 89.75 89.5 89.25 ... 40.5 40.25 40.0\n",
       "  * longitude   (longitude) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8\n",
       "    expver      (valid_time) <U4 11kB ...\n",
       "Data variables:\n",
       "    sst         (valid_time, latitude, longitude) float32 829MB ...\n",
       "Attributes:\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.1..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = r'data4rafael.nc'\n",
    "ds = xr.open_dataset(ds)\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Groupby Monthly mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
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       "\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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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; Size: 14MB\n",
       "Dimensions:    (month: 12, latitude: 201, longitude: 1440)\n",
       "Coordinates:\n",
       "    number     int64 8B 0\n",
       "  * latitude   (latitude) float64 2kB 90.0 89.75 89.5 89.25 ... 40.5 40.25 40.0\n",
       "  * longitude  (longitude) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8\n",
       "  * month      (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    sst        (month, latitude, longitude) float32 14MB 271.5 271.5 ... 290.4\n",
       "Attributes:\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.1...</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-3ff586b7-caa3-4968-a7e3-ed1134b8513e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ff586b7-caa3-4968-a7e3-ed1134b8513e' 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'>month</span>: 12</li><li><span class='xr-has-index'>latitude</span>: 201</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-66e22cd4-480e-453d-9509-4d2c13d7c048' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66e22cd4-480e-453d-9509-4d2c13d7c048' 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>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-399dc3d5-5b3d-41d5-9ca3-eede682cd983' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-399dc3d5-5b3d-41d5-9ca3-eede682cd983' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7a3a958-0a75-4fcd-8be3-3e1b4d96f1bc' class='xr-var-data-in' type='checkbox'><label for='data-b7a3a958-0a75-4fcd-8be3-3e1b4d96f1bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... 40.5 40.25 40.0</div><input id='attrs-f2808761-03db-45f9-9fcd-62bfabbee8f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2808761-03db-45f9-9fcd-62bfabbee8f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9de184f9-702a-4337-95e7-1d695a7bb83f' class='xr-var-data-in' type='checkbox'><label for='data-9de184f9-702a-4337-95e7-1d695a7bb83f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([90.  , 89.75, 89.5 , ..., 40.5 , 40.25, 40.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.5 179.8</div><input id='attrs-f486e2d1-c403-43a4-947f-d44d18e18f90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f486e2d1-c403-43a4-947f-d44d18e18f90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ea73f7a-b144-4435-aecc-7366201691dd' class='xr-var-data-in' type='checkbox'><label for='data-0ea73f7a-b144-4435-aecc-7366201691dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180.  , -179.75, -179.5 , ...,  179.25,  179.5 ,  179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-d55346de-71b2-4763-b113-52fc3996c771' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d55346de-71b2-4763-b113-52fc3996c771' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01d23baa-4cf7-4365-b319-0e08ec2c50e1' class='xr-var-data-in' type='checkbox'><label for='data-01d23baa-4cf7-4365-b319-0e08ec2c50e1' 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([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6578504-ee0a-4dca-8a50-2e9fade68c94' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e6578504-ee0a-4dca-8a50-2e9fade68c94' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(month, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>271.5 271.5 271.5 ... 290.2 290.4</div><input id='attrs-d2343c62-9de4-4881-ab28-460548d0337b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2343c62-9de4-4881-ab28-460548d0337b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c4bb63f-618d-474c-9406-bde13398b3c1' class='xr-var-data-in' type='checkbox'><label for='data-8c4bb63f-618d-474c-9406-bde13398b3c1' 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>GRIB_paramId :</span></dt><dd>34</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>289440</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>201</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sst</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>40.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sea surface temperature</dd><dt><span>GRIB_shortName :</span></dt><dd>sst</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Sea surface temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>GRIB_surface :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[[271.4601 , 271.4601 , 271.4601 , ..., 271.4601 , 271.4601 ,\n",
       "         271.4601 ],\n",
       "        [271.4601 , 271.4601 , 271.4601 , ..., 271.46008, 271.4601 ,\n",
       "         271.4601 ],\n",
       "        [271.4601 , 271.4601 , 271.4601 , ..., 271.4601 , 271.4601 ,\n",
       "         271.4601 ],\n",
       "        ...,\n",
       "        [285.30008, 284.84003, 284.56485, ..., 285.67914, 285.6625 ,\n",
       "         285.5543 ],\n",
       "        [285.83044, 285.33893, 284.87027, ..., 286.1944 , 286.14508,\n",
       "         286.06003],\n",
       "        [286.4899 , 286.1308 , 285.63556, ..., 286.63144, 286.63736,\n",
       "         286.58743]],\n",
       "\n",
       "       [[271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n",
       "         271.46005],\n",
       "        [271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n",
       "         271.46005],\n",
       "        [271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n",
       "         271.46005],\n",
       "...\n",
       "        [292.24707, 292.12845, 291.94083, ..., 292.14972, 292.26642,\n",
       "         292.2916 ],\n",
       "        [292.32687, 292.2034 , 292.06073, ..., 292.20273, 292.32538,\n",
       "         292.395  ],\n",
       "        [292.48947, 292.19385, 292.01056, ..., 292.1204 , 292.38382,\n",
       "         292.53827]],\n",
       "\n",
       "       [[271.46002, 271.46002, 271.46002, ..., 271.46002, 271.46002,\n",
       "         271.46002],\n",
       "        [271.46002, 271.46002, 271.46002, ..., 271.46   , 271.46002,\n",
       "         271.46002],\n",
       "        [271.46002, 271.46002, 271.46002, ..., 271.46002, 271.46002,\n",
       "         271.46002],\n",
       "        ...,\n",
       "        [290.11047, 290.17468, 290.13138, ..., 289.4199 , 289.73563,\n",
       "         289.97415],\n",
       "        [290.37292, 290.4321 , 290.4078 , ..., 289.74066, 290.05743,\n",
       "         290.2528 ],\n",
       "        [290.50226, 290.55502, 290.51788, ..., 289.9575 , 290.19043,\n",
       "         290.3641 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-536e3758-b682-41fc-8666-375e2136607d' class='xr-section-summary-in' type='checkbox'  ><label for='section-536e3758-b682-41fc-8666-375e2136607d' class='xr-section-summary' >Indexes: <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-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0cb3629-c98c-467e-9263-c028605d747c' class='xr-index-data-in' type='checkbox'/><label for='index-e0cb3629-c98c-467e-9263-c028605d747c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 90.0, 89.75,  89.5, 89.25,  89.0, 88.75,  88.5, 88.25,  88.0, 87.75,\n",
       "       ...\n",
       "       42.25,  42.0, 41.75,  41.5, 41.25,  41.0, 40.75,  40.5, 40.25,  40.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=201))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-91cf4413-1b7c-4c6c-9c12-13eb471b7ffe' class='xr-index-data-in' type='checkbox'/><label for='index-91cf4413-1b7c-4c6c-9c12-13eb471b7ffe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -180.0, -179.75,  -179.5, -179.25,  -179.0, -178.75,  -178.5, -178.25,\n",
       "        -178.0, -177.75,\n",
       "       ...\n",
       "         177.5,  177.75,   178.0,  178.25,   178.5,  178.75,   179.0,  179.25,\n",
       "         179.5,  179.75],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a7471679-1e12-4cae-b8e4-252fd387731e' class='xr-index-data-in' type='checkbox'/><label for='index-a7471679-1e12-4cae-b8e4-252fd387731e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f3fcfd8-b41c-46ca-a545-fb690ce63cce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f3fcfd8-b41c-46ca-a545-fb690ce63cce' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.14.1/ecCodes-2.36.0 with {&quot;source&quot;: &quot;data.grib&quot;, &quot;filter_by_keys&quot;: {&quot;stream&quot;: [&quot;oper&quot;]}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 14MB\n",
       "Dimensions:    (month: 12, latitude: 201, longitude: 1440)\n",
       "Coordinates:\n",
       "    number     int64 8B 0\n",
       "  * latitude   (latitude) float64 2kB 90.0 89.75 89.5 89.25 ... 40.5 40.25 40.0\n",
       "  * longitude  (longitude) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8\n",
       "  * month      (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    sst        (month, latitude, longitude) float32 14MB 271.5 271.5 ... 290.4\n",
       "Attributes:\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.1..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_monthly = ds.resample(valid_time='ME').mean()\n",
    "ds_month = ds.groupby('valid_time.month').mean()\n",
    "ds_month"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert the temperature from Kelvin to Celsius"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 14MB\n",
       "Dimensions:    (latitude: 201, longitude: 1440, month: 12)\n",
       "Coordinates:\n",
       "    number     int64 8B 0\n",
       "  * latitude   (latitude) float64 2kB 90.0 89.75 89.5 89.25 ... 40.5 40.25 40.0\n",
       "  * longitude  (longitude) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8\n",
       "  * month      (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    sst        (month, latitude, longitude) float32 14MB -1.69 -1.69 ... 17.21\n",
       "Attributes:\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.1...\n",
       "    units:                   °C</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-2e38a720-3fb8-49bb-8a10-95438b7b90ca' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e38a720-3fb8-49bb-8a10-95438b7b90ca' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 201</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>month</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-66471ec9-37f3-4995-83a4-ab11c27330a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66471ec9-37f3-4995-83a4-ab11c27330a7' 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>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-44e9cdaa-0e49-4ebe-b360-d1e04e7e7a05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44e9cdaa-0e49-4ebe-b360-d1e04e7e7a05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be01cd71-da07-474f-99ab-a169dae8b150' class='xr-var-data-in' type='checkbox'><label for='data-be01cd71-da07-474f-99ab-a169dae8b150' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... 40.5 40.25 40.0</div><input id='attrs-10587a2d-85d9-4c52-9369-3eb5323fdfe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10587a2d-85d9-4c52-9369-3eb5323fdfe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a96b62b-1cfb-43c3-96f9-18f58b29b7fc' class='xr-var-data-in' type='checkbox'><label for='data-7a96b62b-1cfb-43c3-96f9-18f58b29b7fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([90.  , 89.75, 89.5 , ..., 40.5 , 40.25, 40.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.5 179.8</div><input id='attrs-93a370a2-1321-4d64-8cac-d67773715623' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93a370a2-1321-4d64-8cac-d67773715623' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-909f3620-5ab9-490f-99c2-920d281137bb' class='xr-var-data-in' type='checkbox'><label for='data-909f3620-5ab9-490f-99c2-920d281137bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180.  , -179.75, -179.5 , ...,  179.25,  179.5 ,  179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-17f981ee-54ed-4fce-af69-0086d929df5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17f981ee-54ed-4fce-af69-0086d929df5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57eb0b4c-d7a7-457f-b146-b02c6314cb1b' class='xr-var-data-in' type='checkbox'><label for='data-57eb0b4c-d7a7-457f-b146-b02c6314cb1b' 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([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45b47530-8a73-4f81-965d-75009658dc10' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45b47530-8a73-4f81-965d-75009658dc10' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(month, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.69 -1.69 -1.69 ... 17.04 17.21</div><input id='attrs-e340ca7c-b3e7-4835-9390-1772ee1dafdd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e340ca7c-b3e7-4835-9390-1772ee1dafdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb6ef4ee-2f10-4273-993b-ce7f53fd63aa' class='xr-var-data-in' type='checkbox'><label for='data-cb6ef4ee-2f10-4273-993b-ce7f53fd63aa' 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([[[-1.6898804, -1.6898804, -1.6898804, ..., -1.6898804,\n",
       "         -1.6898804, -1.6898804],\n",
       "        [-1.6898804, -1.6898804, -1.6898804, ..., -1.6899109,\n",
       "         -1.6898804, -1.6898804],\n",
       "        [-1.6898804, -1.6898804, -1.6898804, ..., -1.6898804,\n",
       "         -1.6898804, -1.6898804],\n",
       "        ...,\n",
       "        [12.150085 , 11.690033 , 11.414856 , ..., 12.529144 ,\n",
       "         12.512512 , 12.404297 ],\n",
       "        [12.68045  , 12.188934 , 11.720276 , ..., 13.044403 ,\n",
       "         12.995087 , 12.910034 ],\n",
       "        [13.339905 , 12.980804 , 12.485565 , ..., 13.481445 ,\n",
       "         13.487366 , 13.437439 ]],\n",
       "\n",
       "       [[-1.6899414, -1.6899414, -1.6899414, ..., -1.6899414,\n",
       "         -1.6899414, -1.6899414],\n",
       "        [-1.6899414, -1.6899414, -1.6899414, ..., -1.6899414,\n",
       "         -1.6899414, -1.6899414],\n",
       "        [-1.6899414, -1.6899414, -1.6899414, ..., -1.6899414,\n",
       "         -1.6899414, -1.6899414],\n",
       "...\n",
       "        [19.097076 , 18.978455 , 18.790833 , ..., 18.999725 ,\n",
       "         19.116425 , 19.141602 ],\n",
       "        [19.17688  , 19.053406 , 18.910736 , ..., 19.052734 ,\n",
       "         19.175385 , 19.244995 ],\n",
       "        [19.339478 , 19.043854 , 18.860565 , ..., 18.970398 ,\n",
       "         19.233826 , 19.388275 ]],\n",
       "\n",
       "       [[-1.6899719, -1.6899719, -1.6899719, ..., -1.6899719,\n",
       "         -1.6899719, -1.6899719],\n",
       "        [-1.6899719, -1.6899719, -1.6899719, ..., -1.6900024,\n",
       "         -1.6899719, -1.6899719],\n",
       "        [-1.6899719, -1.6899719, -1.6899719, ..., -1.6899719,\n",
       "         -1.6899719, -1.6899719],\n",
       "        ...,\n",
       "        [16.96048  , 17.024689 , 16.981384 , ..., 16.269897 ,\n",
       "         16.585632 , 16.824158 ],\n",
       "        [17.22293  , 17.282104 , 17.257812 , ..., 16.590668 ,\n",
       "         16.90744  , 17.102814 ],\n",
       "        [17.352264 , 17.40503  , 17.36789  , ..., 16.807495 ,\n",
       "         17.040436 , 17.214111 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-219b7334-59e0-46bd-8ce4-acfd9962b8da' class='xr-section-summary-in' type='checkbox'  ><label for='section-219b7334-59e0-46bd-8ce4-acfd9962b8da' class='xr-section-summary' >Indexes: <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-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2ff4fb7e-2e65-4f86-b91f-8c2d748aaf73' class='xr-index-data-in' type='checkbox'/><label for='index-2ff4fb7e-2e65-4f86-b91f-8c2d748aaf73' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 90.0, 89.75,  89.5, 89.25,  89.0, 88.75,  88.5, 88.25,  88.0, 87.75,\n",
       "       ...\n",
       "       42.25,  42.0, 41.75,  41.5, 41.25,  41.0, 40.75,  40.5, 40.25,  40.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=201))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1a940ee5-f1c6-49a5-902a-3c64f7ac89c1' class='xr-index-data-in' type='checkbox'/><label for='index-1a940ee5-f1c6-49a5-902a-3c64f7ac89c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -180.0, -179.75,  -179.5, -179.25,  -179.0, -178.75,  -178.5, -178.25,\n",
       "        -178.0, -177.75,\n",
       "       ...\n",
       "         177.5,  177.75,   178.0,  178.25,   178.5,  178.75,   179.0,  179.25,\n",
       "         179.5,  179.75],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-de6e2b40-3737-431b-8a34-21409c8859f4' class='xr-index-data-in' type='checkbox'/><label for='index-de6e2b40-3737-431b-8a34-21409c8859f4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cdeb2aa6-6d80-490d-a628-5b4e2bdbe51e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cdeb2aa6-6d80-490d-a628-5b4e2bdbe51e' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.14.1/ecCodes-2.36.0 with {&quot;source&quot;: &quot;data.grib&quot;, &quot;filter_by_keys&quot;: {&quot;stream&quot;: [&quot;oper&quot;]}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>units :</span></dt><dd>°C</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 14MB\n",
       "Dimensions:    (latitude: 201, longitude: 1440, month: 12)\n",
       "Coordinates:\n",
       "    number     int64 8B 0\n",
       "  * latitude   (latitude) float64 2kB 90.0 89.75 89.5 89.25 ... 40.5 40.25 40.0\n",
       "  * longitude  (longitude) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8\n",
       "  * month      (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    sst        (month, latitude, longitude) float32 14MB -1.69 -1.69 ... 17.21\n",
       "Attributes:\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2024-10-12T15:02 GRIB to CDM+CF via cfgrib-0.9.1...\n",
       "    units:                   °C"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert the temperature from Kelvin to Celsius\n",
    "ds_month_celsius = ds_month - 273.15\n",
    "ds_month_celsius.attrs['units'] = '°C'\n",
    "ds_month_celsius"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Checking the range variation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'sst' ()> Size: 4B\n",
      "np.float32(29.88507)\n",
      "Coordinates:\n",
      "    number   int64 8B 0\n"
     ]
    }
   ],
   "source": [
    "max_temp = ds_month_celsius['sst'].max()\n",
    "print(max_temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'sst' ()> Size: 4B\n",
      "np.float32(-3.0461426)\n",
      "Coordinates:\n",
      "    number   int64 8B 0\n"
     ]
    }
   ],
   "source": [
    "min_temp = ds_month_celsius['sst'].min()\n",
    "print(min_temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the subsets maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'Sea Surface Temperature - North Slope of Alaska')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x1200 with 13 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define the figure and each axis for the 2 rows and 2 columns\n",
    "fig, axs = plt.subplots(nrows=4, ncols=3,\n",
    "                        subplot_kw={'projection': ccrs.PlateCarree()},\n",
    "                        figsize=(16, 12))\n",
    "\n",
    "# axs is a 2 dimensional array of `GeoAxes`.  \n",
    "# We will flatten it into a 1-D array\n",
    "axs = axs.flatten()\n",
    "\n",
    "clevs = np.arange(-5, 5, 0.5)\n",
    "\n",
    "# Loop over all of the months and plot\n",
    "for i, month in enumerate(ds_month_celsius['month']):\n",
    "\n",
    "    # Select the month\n",
    "    data = ds_month_celsius['sst'].sel(month=month)\n",
    "\n",
    "    # Add the cyclic point\n",
    "    data, lons = add_cyclic_point(data, coord=ds_month_celsius['longitude'])\n",
    "\n",
    "    # Contour plot\n",
    "    cs = axs[i].contourf(lons, ds_month['latitude'], data, clevs,\n",
    "                         transform=ccrs.PlateCarree(),\n",
    "                         cmap='coolwarm', extend='both')\n",
    "\n",
    "    # Longitude labels\n",
    "    axs[i].set_xticks(np.arange(-180, -140, 15), crs=ccrs.PlateCarree())\n",
    "    lon_formatter = cticker.LongitudeFormatter()\n",
    "    axs[i].xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "    # Latitude labels\n",
    "    axs[i].set_yticks(np.arange(60, 81, 5), crs=ccrs.PlateCarree())\n",
    "    lat_formatter = cticker.LatitudeFormatter()\n",
    "    axs[i].yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "    # Title each subplot with the name of the month\n",
    "    month_name = calendar.month_name[month.values]\n",
    "    axs[i].set_title(month_name)\n",
    "\n",
    "    # Draw the coastlines for each subplot\n",
    "    axs[i].coastlines()\n",
    "\n",
    "    # Set the extent to focus on Alaska\n",
    "    axs[i].set_extent([-170, -140, 63, 75], crs=ccrs.PlateCarree())\n",
    "    \n",
    "    # Add label \"Alaska\"\n",
    "    axs[i].text(-155, 68, 'Alaska', horizontalalignment='center',\n",
    "                transform=ccrs.PlateCarree(), fontsize=12, color='black')\n",
    "\n",
    "# Adjust the location of the subplots \n",
    "# on the page to make room for the colorbar\n",
    "fig.subplots_adjust(bottom=0.25, top=0.9, left=0.05, right=0.95,\n",
    "                    wspace=0.4, hspace=0.4)\n",
    "\n",
    "# Add a colorbar axis at the bottom of the graph\n",
    "cbar_ax = fig.add_axes([0.2, 0.175, 0.6, 0.02])\n",
    "\n",
    "# Draw the colorbar\n",
    "cbar = fig.colorbar(cs, cax=cbar_ax, orientation='horizontal', label='\\u00b0C')\n",
    "\n",
    "# Add a big title at the top\n",
    "plt.suptitle('Sea Surface Temperature - North Slope of Alaska')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "climate",
   "language": "python",
   "name": "climate"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}