processing_grib_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Needed libraries:\n",
    " - $\\texttt{cfgrib}$ as an engine\n",
    " - $\\texttt{xarray}$ to open .grib files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MaxNLocator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = xr.open_dataset('temp.grib', engine='cfgrib')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 11MB\n",
       "Dimensions:        (time: 744, isobaricInhPa: 4, latitude: 23, longitude: 41)\n",
       "Coordinates:\n",
       "    number         int64 8B ...\n",
       "  * time           (time) datetime64[ns] 6kB 2024-01-01 ... 2024-01-31T23:00:00\n",
       "    step           timedelta64[ns] 8B ...\n",
       "  * isobaricInhPa  (isobaricInhPa) float64 32B 1e+03 975.0 950.0 925.0\n",
       "  * latitude       (latitude) float64 184B 54.5 54.25 54.0 ... 49.5 49.25 49.0\n",
       "  * longitude      (longitude) float64 328B 14.07 14.32 14.57 ... 23.82 24.07\n",
       "    valid_time     (time) datetime64[ns] 6kB ...\n",
       "Data variables:\n",
       "    t              (time, isobaricInhPa, latitude, longitude) float32 11MB ...\n",
       "Attributes:\n",
       "    GRIB_edition:            1\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:                 2024-12-02T22:55 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-90b8d716-f7b4-45c7-80af-525331dd9a91' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90b8d716-f7b4-45c7-80af-525331dd9a91' 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>: 744</li><li><span class='xr-has-index'>isobaricInhPa</span>: 4</li><li><span class='xr-has-index'>latitude</span>: 23</li><li><span class='xr-has-index'>longitude</span>: 41</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1a801dbf-8fca-4351-838d-ed5fa71f994c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1a801dbf-8fca-4351-838d-ed5fa71f994c' class='xr-section-summary' >Coordinates: <span>(7)</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-2c8a1e48-e388-4cb5-9254-025ba7d0ed8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c8a1e48-e388-4cb5-9254-025ba7d0ed8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfc44956-16b1-4061-b9b1-2da4436331b7' class='xr-var-data-in' type='checkbox'><label for='data-dfc44956-16b1-4061-b9b1-2da4436331b7' 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'>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'>2024-01-01 ... 2024-01-31T23:00:00</div><input id='attrs-1e43aa72-19b1-425e-8153-c2b77000d89b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e43aa72-19b1-425e-8153-c2b77000d89b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c976c46f-92e9-4d09-bf12-dc13fd07a91c' class='xr-var-data-in' type='checkbox'><label for='data-c976c46f-92e9-4d09-bf12-dc13fd07a91c' 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>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-01-01T00:00:00.000000000&#x27;, &#x27;2024-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2024-01-01T02:00:00.000000000&#x27;, ..., &#x27;2024-01-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2024-01-31T22:00:00.000000000&#x27;, &#x27;2024-01-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d297133d-57d2-4f5a-be1c-b575e132f9f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d297133d-57d2-4f5a-be1c-b575e132f9f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-671d3e79-0e41-4d80-8a94-0d935b50e3d8' class='xr-var-data-in' type='checkbox'><label for='data-671d3e79-0e41-4d80-8a94-0d935b50e3d8' 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 since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>isobaricInhPa</span></div><div class='xr-var-dims'>(isobaricInhPa)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03 975.0 950.0 925.0</div><input id='attrs-8e45b667-be9a-4e5e-8b6e-6e5fc5a4b41f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e45b667-be9a-4e5e-8b6e-6e5fc5a4b41f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c5452a5-d5b6-48f7-b6c3-77244918d33a' class='xr-var-data-in' type='checkbox'><label for='data-1c5452a5-d5b6-48f7-b6c3-77244918d33a' 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>pressure</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  975.,  950.,  925.])</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'>54.5 54.25 54.0 ... 49.5 49.25 49.0</div><input id='attrs-bc5d3990-e7a0-425f-bb00-4ff53e1c6148' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc5d3990-e7a0-425f-bb00-4ff53e1c6148' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0dac2f4-a177-4804-b23f-b45b7532c2ac' class='xr-var-data-in' type='checkbox'><label for='data-b0dac2f4-a177-4804-b23f-b45b7532c2ac' 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([54.5 , 54.25, 54.  , 53.75, 53.5 , 53.25, 53.  , 52.75, 52.5 , 52.25,\n",
       "       52.  , 51.75, 51.5 , 51.25, 51.  , 50.75, 50.5 , 50.25, 50.  , 49.75,\n",
       "       49.5 , 49.25, 49.  ])</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'>14.07 14.32 14.57 ... 23.82 24.07</div><input id='attrs-9d911778-2496-4f60-acd7-ebde225f049a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d911778-2496-4f60-acd7-ebde225f049a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e78782f-0ef4-45d7-bb64-19ec7cf041bc' class='xr-var-data-in' type='checkbox'><label for='data-5e78782f-0ef4-45d7-bb64-19ec7cf041bc' 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([14.07, 14.32, 14.57, 14.82, 15.07, 15.32, 15.57, 15.82, 16.07, 16.32,\n",
       "       16.57, 16.82, 17.07, 17.32, 17.57, 17.82, 18.07, 18.32, 18.57, 18.82,\n",
       "       19.07, 19.32, 19.57, 19.82, 20.07, 20.32, 20.57, 20.82, 21.07, 21.32,\n",
       "       21.57, 21.82, 22.07, 22.32, 22.57, 22.82, 23.07, 23.32, 23.57, 23.82,\n",
       "       24.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_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'>...</div><input id='attrs-69f8ca78-0018-47f1-a755-4caf2e606045' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69f8ca78-0018-47f1-a755-4caf2e606045' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93751ac1-a0e5-4875-84dc-9259c4cb1504' class='xr-var-data-in' type='checkbox'><label for='data-93751ac1-a0e5-4875-84dc-9259c4cb1504' 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></dl></div><div class='xr-var-data'><pre>[744 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05570d26-08f2-4cdd-bc54-7ca18e32301a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05570d26-08f2-4cdd-bc54-7ca18e32301a' 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>t</span></div><div class='xr-var-dims'>(time, isobaricInhPa, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91e785b8-cff8-4cd6-9e5e-d454b2459d7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91e785b8-cff8-4cd6-9e5e-d454b2459d7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6dfe0d6-5f01-4299-8ef6-0c84bf08e03a' class='xr-var-data-in' type='checkbox'><label for='data-e6dfe0d6-5f01-4299-8ef6-0c84bf08e03a' 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>130</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>943</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</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>41</dd><dt><span>GRIB_Ny :</span></dt><dd>23</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t</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>54.5</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>49.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>14.07</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>24.07</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Temperature</dd><dt><span>GRIB_shortName :</span></dt><dd>t</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd></dl></div><div class='xr-var-data'><pre>[2806368 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-919ddb1b-7f4c-436a-8f9e-66d44c1fbb37' class='xr-section-summary-in' type='checkbox'  ><label for='section-919ddb1b-7f4c-436a-8f9e-66d44c1fbb37' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ed7b7ff7-cbaa-4d6e-a4e5-49c310738418' class='xr-index-data-in' type='checkbox'/><label for='index-ed7b7ff7-cbaa-4d6e-a4e5-49c310738418' 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;2024-01-01 00:00:00&#x27;, &#x27;2024-01-01 01:00:00&#x27;,\n",
       "               &#x27;2024-01-01 02:00:00&#x27;, &#x27;2024-01-01 03:00:00&#x27;,\n",
       "               &#x27;2024-01-01 04:00:00&#x27;, &#x27;2024-01-01 05:00:00&#x27;,\n",
       "               &#x27;2024-01-01 06:00:00&#x27;, &#x27;2024-01-01 07:00:00&#x27;,\n",
       "               &#x27;2024-01-01 08:00:00&#x27;, &#x27;2024-01-01 09:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2024-01-31 14:00:00&#x27;, &#x27;2024-01-31 15:00:00&#x27;,\n",
       "               &#x27;2024-01-31 16:00:00&#x27;, &#x27;2024-01-31 17:00:00&#x27;,\n",
       "               &#x27;2024-01-31 18:00:00&#x27;, &#x27;2024-01-31 19:00:00&#x27;,\n",
       "               &#x27;2024-01-31 20:00:00&#x27;, &#x27;2024-01-31 21:00:00&#x27;,\n",
       "               &#x27;2024-01-31 22:00:00&#x27;, &#x27;2024-01-31 23:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=744, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>isobaricInhPa</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-bbbd2a5a-c518-492f-9441-d1cf604e2be8' class='xr-index-data-in' type='checkbox'/><label for='index-bbbd2a5a-c518-492f-9441-d1cf604e2be8' 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([1000.0, 975.0, 950.0, 925.0], dtype=&#x27;float64&#x27;, name=&#x27;isobaricInhPa&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c6286560-5734-4ebe-bcf8-4621dcd31991' class='xr-index-data-in' type='checkbox'/><label for='index-c6286560-5734-4ebe-bcf8-4621dcd31991' 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([ 54.5, 54.25,  54.0, 53.75,  53.5, 53.25,  53.0, 52.75,  52.5, 52.25,\n",
       "        52.0, 51.75,  51.5, 51.25,  51.0, 50.75,  50.5, 50.25,  50.0, 49.75,\n",
       "        49.5, 49.25,  49.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1540a2e7-dc16-4e80-8f46-5ad25d77f83b' class='xr-index-data-in' type='checkbox'/><label for='index-1540a2e7-dc16-4e80-8f46-5ad25d77f83b' 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([14.07, 14.32, 14.57, 14.82, 15.07, 15.32, 15.57, 15.82, 16.07, 16.32,\n",
       "       16.57, 16.82, 17.07, 17.32, 17.57, 17.82, 18.07, 18.32, 18.57, 18.82,\n",
       "       19.07, 19.32, 19.57, 19.82, 20.07, 20.32, 20.57, 20.82, 21.07, 21.32,\n",
       "       21.57, 21.82, 22.07, 22.32, 22.57, 22.82, 23.07, 23.32, 23.57, 23.82,\n",
       "       24.07],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5af9eb52-51ec-4051-8fe3-005045cc9aad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5af9eb52-51ec-4051-8fe3-005045cc9aad' 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_edition :</span></dt><dd>1</dd><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>2024-12-02T22:55 GRIB to CDM+CF via cfgrib-0.9.14.1/ecCodes-2.39.0 with {&quot;source&quot;: &quot;temp.grib&quot;, &quot;filter_by_keys&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: 11MB\n",
       "Dimensions:        (time: 744, isobaricInhPa: 4, latitude: 23, longitude: 41)\n",
       "Coordinates:\n",
       "    number         int64 8B ...\n",
       "  * time           (time) datetime64[ns] 6kB 2024-01-01 ... 2024-01-31T23:00:00\n",
       "    step           timedelta64[ns] 8B ...\n",
       "  * isobaricInhPa  (isobaricInhPa) float64 32B 1e+03 975.0 950.0 925.0\n",
       "  * latitude       (latitude) float64 184B 54.5 54.25 54.0 ... 49.5 49.25 49.0\n",
       "  * longitude      (longitude) float64 328B 14.07 14.32 14.57 ... 23.82 24.07\n",
       "    valid_time     (time) datetime64[ns] 6kB ...\n",
       "Data variables:\n",
       "    t              (time, isobaricInhPa, latitude, longitude) float32 11MB ...\n",
       "Attributes:\n",
       "    GRIB_edition:            1\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:                 2024-12-02T22:55 GRIB to CDM+CF via cfgrib-0.9.1..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = ds.time\n",
    "y = [ds.t[:,i,1,1] for i in range(0,len(ds.isobaricInhPa))] ###observations from different isobaric levels, but at specific geographical coordinates\n",
    "titles = [r\"Temperature $[K]$ at coords (14.09E, 54.25N) at $p=1000 \\text{hPa}$\",r\"Temperature $[K]$ at coords (14.09E, 54.25N) at $p=975 \\text{hPa}$\",r\"Temperature $[K]$ at coords (14.09E, 54.25N) at $p=950 \\text{hPa}$\",r\"Temperature $[K]$ at coords (14.09E, 54.25N) at $p=925 \\text{hPa}$\"]\n",
    "\n",
    "\n",
    "fig, axs = plt.subplots(1, 4, figsize=(20, 5)) \n",
    "\n",
    "for i, (y, title) in enumerate(zip(y, titles)):\n",
    "    axs[i].plot(x, y,label=title)\n",
    "    axs[i].set_title(title, fontsize = 9)\n",
    "    axs[i].set_xticks(x)\n",
    "    axs[i].tick_params(axis='x', rotation=45, labelsize=9)\n",
    "    axs[i].xaxis.set_major_locator(MaxNLocator(nbins=5))\n",
    "    axs[i].set_ylim(260, 290)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "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": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}