CARRA_Reanalyis.ipynb

{
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  {
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   "execution_count": 2,
   "metadata": {},
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   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from glob import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "filenames = glob(\"/home/eefjg/OneDrive/Leeds/PhD/Data/CARRA/*.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:     (time: 365, y: 1269, x: 1069)\n",
       "Coordinates:\n",
       "  * time        (time) datetime64[ns] 2022-01-01T15:00:00 ... 2022-12-31T15:0...\n",
       "    step        timedelta64[ns] 00:00:00\n",
       "    surface     float64 0.0\n",
       "    latitude    (y, x) float64 dask.array&lt;chunksize=(1269, 1069), meta=np.ndarray&gt;\n",
       "    longitude   (y, x) float64 dask.array&lt;chunksize=(1269, 1069), meta=np.ndarray&gt;\n",
       "    valid_time  (time) datetime64[ns] dask.array&lt;chunksize=(365,), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    lsm         (time, y, x) float32 dask.array&lt;chunksize=(365, 1269, 1069), meta=np.ndarray&gt;\n",
       "    siconc      (time, y, x) float32 dask.array&lt;chunksize=(365, 1269, 1069), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             enmi\n",
       "    GRIB_centreDescription:  Oslo\n",
       "    GRIB_subCentre:          255\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             Oslo\n",
       "    history:                 2024-06-26T10:29 GRIB to CDM+CF via cfgrib-0.9.9...</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-8c233e2f-8264-4641-9030-a0723f6afde0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c233e2f-8264-4641-9030-a0723f6afde0' 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>: 365</li><li><span>y</span>: 1269</li><li><span>x</span>: 1069</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8d387537-59a8-4a74-b41f-a41ee76b3aaf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8d387537-59a8-4a74-b41f-a41ee76b3aaf' class='xr-section-summary' >Coordinates: <span>(6)</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'>2022-01-01T15:00:00 ... 2022-12-...</div><input id='attrs-b5250f02-e391-4a9d-9734-5b53ba28e5a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5250f02-e391-4a9d-9734-5b53ba28e5a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e4f3274-d70d-4f58-b170-7747aae369f5' class='xr-var-data-in' type='checkbox'><label for='data-7e4f3274-d70d-4f58-b170-7747aae369f5' 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;2022-01-01T15:00:00.000000000&#x27;, &#x27;2022-01-02T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-01-03T15:00:00.000000000&#x27;, ..., &#x27;2022-12-29T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-12-30T15:00:00.000000000&#x27;, &#x27;2022-12-31T15:00:00.000000000&#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'>00:00:00</div><input id='attrs-289a8701-2272-4989-b1f7-4d2167abf313' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-289a8701-2272-4989-b1f7-4d2167abf313' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04973c69-301b-4d8c-b967-60671a324da3' class='xr-var-data-in' type='checkbox'><label for='data-04973c69-301b-4d8c-b967-60671a324da3' 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>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-374c872c-92da-4f1e-b278-e0f83ed8c491' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-374c872c-92da-4f1e-b278-e0f83ed8c491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-336f2112-4164-4d4a-a86e-fe3efbe6e604' class='xr-var-data-in' type='checkbox'><label for='data-336f2112-4164-4d4a-a86e-fe3efbe6e604' 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>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</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>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1269, 1069), meta=np.ndarray&gt;</div><input id='attrs-28e963df-faae-4760-8904-715643de722a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28e963df-faae-4760-8904-715643de722a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e82a123-4bf2-46ce-80a8-c110546b5a09' class='xr-var-data-in' type='checkbox'><label for='data-4e82a123-4bf2-46ce-80a8-c110546b5a09' 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></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 10.35 MiB </td>\n",
       "                        <td> 10.35 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1269, 1069) </td>\n",
       "                        <td> (1269, 1069) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 5 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1269, 1069), meta=np.ndarray&gt;</div><input id='attrs-1ea5b3c4-185d-4a46-9bb2-d3d740c6757a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ea5b3c4-185d-4a46-9bb2-d3d740c6757a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6972c297-8b44-4e40-a4d3-891b3b991f68' class='xr-var-data-in' type='checkbox'><label for='data-6972c297-8b44-4e40-a4d3-891b3b991f68' 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'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <td> 10.35 MiB </td>\n",
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       "                        <td> (1269, 1069) </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <td> 2.85 kiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 5 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "        <td>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.84 GiB </td>\n",
       "                        <td> 1.84 GiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (365, 1269, 1069) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</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'>dask.array&lt;chunksize=(365, 1269, 1069), meta=np.ndarray&gt;</div><input id='attrs-06b8b8e8-d721-464f-8d0f-42fe58d69769' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06b8b8e8-d721-464f-8d0f-42fe58d69769' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-558bc7f0-22a3-4204-af46-8b42e8065074' class='xr-var-data-in' type='checkbox'><label for='data-558bc7f0-22a3-4204-af46-8b42e8065074' 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>31</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1356561</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>lambert</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>2500.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>2500.0</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>72.0</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>72.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>72.0</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>324.0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1069</dd><dt><span>GRIB_Ny :</span></dt><dd>1269</dd><dt><span>GRIB_cfName :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>GRIB_cfVarName :</span></dt><dd>siconc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert conformal</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>55.81</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>302.903</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Sea ice area fraction</dd><dt><span>GRIB_shortName :</span></dt><dd>ci</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>long_name :</span></dt><dd>Sea ice area fraction</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.84 GiB </td>\n",
       "                        <td> 1.84 GiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (365, 1269, 1069) </td>\n",
       "                        <td> (365, 1269, 1069) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bbb07409-4d66-4d60-ad54-16ed6ec5cea8' class='xr-section-summary-in' type='checkbox'  ><label for='section-bbb07409-4d66-4d60-ad54-16ed6ec5cea8' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2a0c21d8-7f45-4133-ae44-6f299ada23a5' class='xr-index-data-in' type='checkbox'/><label for='index-2a0c21d8-7f45-4133-ae44-6f299ada23a5' 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;2022-01-01 15:00:00&#x27;, &#x27;2022-01-02 15:00:00&#x27;,\n",
       "               &#x27;2022-01-03 15:00:00&#x27;, &#x27;2022-01-04 15:00:00&#x27;,\n",
       "               &#x27;2022-01-05 15:00:00&#x27;, &#x27;2022-01-06 15:00:00&#x27;,\n",
       "               &#x27;2022-01-07 15:00:00&#x27;, &#x27;2022-01-08 15:00:00&#x27;,\n",
       "               &#x27;2022-01-09 15:00:00&#x27;, &#x27;2022-01-10 15:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-12-22 15:00:00&#x27;, &#x27;2022-12-23 15:00:00&#x27;,\n",
       "               &#x27;2022-12-24 15:00:00&#x27;, &#x27;2022-12-25 15:00:00&#x27;,\n",
       "               &#x27;2022-12-26 15:00:00&#x27;, &#x27;2022-12-27 15:00:00&#x27;,\n",
       "               &#x27;2022-12-28 15:00:00&#x27;, &#x27;2022-12-29 15:00:00&#x27;,\n",
       "               &#x27;2022-12-30 15:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=365, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8ff3acdb-dc1a-4616-aacb-3c3364a6e15f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8ff3acdb-dc1a-4616-aacb-3c3364a6e15f' 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>2</dd><dt><span>GRIB_centre :</span></dt><dd>enmi</dd><dt><span>GRIB_centreDescription :</span></dt><dd>Oslo</dd><dt><span>GRIB_subCentre :</span></dt><dd>255</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>Oslo</dd><dt><span>history :</span></dt><dd>2024-06-26T10:29 GRIB to CDM+CF via cfgrib-0.9.9.1/ecCodes-2.34.1 with {&quot;source&quot;: &quot;/cache/tmp/23394183-ae5f-4571-a91a-d6c52e1d4dad-adaptor.mars.external-1719393912.5917492-28913-2-tmp.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>\n",
       "Dimensions:     (time: 365, y: 1269, x: 1069)\n",
       "Coordinates:\n",
       "  * time        (time) datetime64[ns] 2022-01-01T15:00:00 ... 2022-12-31T15:0...\n",
       "    step        timedelta64[ns] 00:00:00\n",
       "    surface     float64 0.0\n",
       "    latitude    (y, x) float64 dask.array<chunksize=(1269, 1069), meta=np.ndarray>\n",
       "    longitude   (y, x) float64 dask.array<chunksize=(1269, 1069), meta=np.ndarray>\n",
       "    valid_time  (time) datetime64[ns] dask.array<chunksize=(365,), meta=np.ndarray>\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    lsm         (time, y, x) float32 dask.array<chunksize=(365, 1269, 1069), meta=np.ndarray>\n",
       "    siconc      (time, y, x) float32 dask.array<chunksize=(365, 1269, 1069), meta=np.ndarray>\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             enmi\n",
       "    GRIB_centreDescription:  Oslo\n",
       "    GRIB_subCentre:          255\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             Oslo\n",
       "    history:                 2024-06-26T10:29 GRIB to CDM+CF via cfgrib-0.9.9..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_mfdataset(filenames, combine='by_coords')\n",
    "ds\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7effe6893650>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds['siconc'].sel(time='2022-03-14').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "main",
   "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": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}