extremes-dt/extremes-dt-earthkit-example-fe-trajectory4d.ipynb

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    "## Polytope Extremes-DT Feature Extraction Trajectory 4d example notebook\n",
    "\n",
    "This notebook shows how to use earthkit-data and earthkit-plots to pull destination-earth data from LUMI and plot it using earthkit-plots.\n",
    "\n",
    "\n",
    "Before running the notebook you need to set up your credentials. See the main readme of this repository for different ways to do this or use the following cells to authenticate.\n",
    "\n",
    "You will need to generate your credentials using the desp-authentication.py script.\n",
    "\n",
    "This can be run as follows:"
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    "%%capture cap\n",
    "%run ../desp-authentication.py"
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   "source": [
    "This will generate a token that can then be used by earthkit and polytope."
   ]
  },
  {
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   "execution_count": null,
   "id": "26249986",
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   "source": [
    "output_1 = cap.stdout.split('}\\n')\n",
    "access_token = output_1[-1][0:-1]"
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    "# Requirements\n",
    "To run this notebook install the following:\n",
    "* pip install earthkit-data\n",
    "* pip install earthkit-plots\n",
    "* pip install cf-units         (Optional for unit conversion in maps)"
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    "import earthkit.data\n",
    "import earthkit.regrid\n",
    "\n",
    "\n",
    "request = {\n",
    "    \"dataset\": \"extremes-dt\",\n",
    "    \"class\": \"d1\",\n",
    "    \"stream\": \"oper\",\n",
    "    \"type\": \"fc\",\n",
    "    \"date\": \"20250119\",\n",
    "    \"time\": \"0000\",\n",
    "    \"levtype\": \"pl\",\n",
    "    \"expver\": \"0001\",\n",
    "    \"param\": \"131\",\n",
    "    \"feature\" :{ \n",
    "        \"type\" : \"trajectory\", \n",
    "        \"points\" : [[-1, -1, 1, 1], [0, 0, 2, 5], [1, 1, 10, 100]], \n",
    "        \"inflation\" : 0.1, \n",
    "        \"inflate\" : \"box\",\n",
    "        \"axes\" : [\"latitude\", \"longitude\", \"step\", \"levelist\"], \n",
    "    },\n",
    "}\n",
    "\n",
    "#data is an earthkit streaming object but with stream=False will download data immediately \n",
    "ds = earthkit.data.from_source(\"polytope\", \"destination-earth\", request, stream=False, address='polytope.lumi.apps.dte.destination-earth.eu')"
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   "source": [
    "ds._json()"
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       "    stream:         oper\n",
       "    type:           fc\n",
       "    number:         0</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-b102b44b-12d1-443c-9797-35153373d776' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b102b44b-12d1-443c-9797-35153373d776' 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'>datetimes</span>: 1</li><li><span class='xr-has-index'>number</span>: 1</li><li><span class='xr-has-index'>steps</span>: 1</li><li><span class='xr-has-index'>points</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cc162d9e-44c7-4724-8c14-ea515ea3cb06' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc162d9e-44c7-4724-8c14-ea515ea3cb06' class='xr-section-summary' >Coordinates: <span>(8)</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'>datetimes</span></div><div class='xr-var-dims'>(datetimes)</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;2025-01-19T00:00:00Z&#x27;</div><input id='attrs-b633292a-90a8-4edd-ab76-3f7821143cf1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b633292a-90a8-4edd-ab76-3f7821143cf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-321c229e-1b39-4463-90c5-72edd5838b9f' class='xr-var-data-in' type='checkbox'><label for='data-321c229e-1b39-4463-90c5-72edd5838b9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2025-01-19T00:00:00Z&#x27;], dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>number</span></div><div class='xr-var-dims'>(number)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-0ed24ada-032c-49c2-b93a-7cbad5e00df3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ed24ada-032c-49c2-b93a-7cbad5e00df3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2caff3d1-2ed4-47ae-90bb-be8875db8aad' class='xr-var-data-in' type='checkbox'><label for='data-2caff3d1-2ed4-47ae-90bb-be8875db8aad' 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([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>steps</span></div><div class='xr-var-dims'>(steps)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>10</div><input id='attrs-d026b8c6-2b21-484d-bdfd-165635697871' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d026b8c6-2b21-484d-bdfd-165635697871' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a799d741-2f34-4148-88d4-2b43b308c095' class='xr-var-data-in' type='checkbox'><label for='data-a799d741-2f34-4148-88d4-2b43b308c095' 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([10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>points</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 18 19 20 21 22 23</div><input id='attrs-d2473de1-eca2-409a-a4bb-687c6e331112' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2473de1-eca2-409a-a4bb-687c6e331112' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-979f07a8-8eb4-4778-af30-23ae3ef68c83' class='xr-var-data-in' type='checkbox'><label for='data-979f07a8-8eb4-4778-af30-23ae3ef68c83' 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([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.9667 -0.9667 ... 1.072 1.072</div><input id='attrs-60c1af3d-aaa9-44c9-b0b5-714058de40c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-60c1af3d-aaa9-44c9-b0b5-714058de40c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27ce6b22-0a53-48ed-874f-16cad017d2b9' class='xr-var-data-in' type='checkbox'><label for='data-27ce6b22-0a53-48ed-874f-16cad017d2b9' 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([-0.96670247, -0.96670247, -0.96670247, -0.93154965, -0.93154965,\n",
       "       -0.93154965, -0.01757641, -0.01757641, -0.01757641,  0.01757641,\n",
       "        0.01757641,  0.01757641,  0.05272923,  0.05272923,  0.05272923,\n",
       "        0.08788204,  0.08788204,  0.08788204,  1.00185528,  1.00185528,\n",
       "        1.0370081 ,  1.0370081 ,  1.07216092,  1.07216092])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>359.0 359.0 359.1 ... 1.03 1.066</div><input id='attrs-0be622c4-3a78-4be4-aa55-8a7104d2a199' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0be622c4-3a78-4be4-aa55-8a7104d2a199' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb1c7675-b1e8-45fc-89ca-28785e67e6b8' class='xr-var-data-in' type='checkbox'><label for='data-cb1c7675-b1e8-45fc-89ca-28785e67e6b8' 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([3.59006701e+02, 3.59042176e+02, 3.59077651e+02, 3.59007092e+02,\n",
       "       3.59042553e+02, 3.59078014e+02, 0.00000000e+00, 3.51014041e-02,\n",
       "       7.02028081e-02, 0.00000000e+00, 3.51014041e-02, 7.02028081e-02,\n",
       "       0.00000000e+00, 3.51150995e-02, 7.02301990e-02, 0.00000000e+00,\n",
       "       3.51288056e-02, 7.02576112e-02, 1.02917981e+00, 1.06466877e+00,\n",
       "       1.02958580e+00, 1.06508876e+00, 1.02999211e+00, 1.06550908e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 5.0 5.0 5.0 5.0</div><input id='attrs-2700379b-1d01-44df-958b-210c7e66dc7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2700379b-1d01-44df-958b-210c7e66dc7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcc2d9dc-2136-4e4b-8162-850ea92f322b' class='xr-var-data-in' type='checkbox'><label for='data-fcc2d9dc-2136-4e4b-8162-850ea92f322b' 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.,   1.,   1.,   1.,   1.,   1., 100., 100., 100., 100., 100.,\n",
       "       100.,   5.,   5.,   5.,   5.,   5.,   5.,   5.,   5.,   5.,   5.,\n",
       "         5.,   5.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 10 10 ... 2 2 2 2 2 2 2</div><input id='attrs-ddeedac1-3c00-4008-bf72-330123d694bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddeedac1-3c00-4008-bf72-330123d694bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45c29b36-fa62-43a4-80ca-981d97d74e3a' class='xr-var-data-in' type='checkbox'><label for='data-45c29b36-fa62-43a4-80ca-981d97d74e3a' 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,  1,  1,  1,  1,  1, 10, 10, 10, 10, 10, 10,  2,  2,  2,  2,  2,\n",
       "        2,  2,  2,  2,  2,  2,  2])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-015c1dbb-1aee-4346-ba58-c5266d43535b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-015c1dbb-1aee-4346-ba58-c5266d43535b' 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>u</span></div><div class='xr-var-dims'>(datetimes, number, steps, points)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-61.67 -61.76 ... 4.562 4.669</div><input id='attrs-1011b81b-4a12-403c-bbd0-60dcee771077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1011b81b-4a12-403c-bbd0-60dcee771077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7558f4d8-fdda-4764-9a28-2c597893d8b2' class='xr-var-data-in' type='checkbox'><label for='data-7558f4d8-fdda-4764-9a28-2c597893d8b2' 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>type :</span></dt><dd>Parameter</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>u</dd></dl></div><div class='xr-var-data'><pre>array([[[[-61.66891479, -61.76132202, -61.8605957 , -61.59176636,\n",
       "          -61.67904663, -61.77438354, -27.43273163, -27.46527863,\n",
       "          -27.50319672, -27.40196991, -27.43421173, -27.47383881,\n",
       "          -27.37670135, -27.4106369 , -27.45082855, -27.35390472,\n",
       "          -27.39035797, -27.42952728,   4.56512833,   4.67461014,\n",
       "            4.56982803,   4.68331528,   4.56167984,   4.6692009 ]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c55a12a8-cfb7-47a8-8fa0-87eed853cb0d' class='xr-section-summary-in' type='checkbox'  ><label for='section-c55a12a8-cfb7-47a8-8fa0-87eed853cb0d' 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>datetimes</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8c274d0b-22c0-4554-8896-ac5ceebd95cf' class='xr-index-data-in' type='checkbox'/><label for='index-8c274d0b-22c0-4554-8896-ac5ceebd95cf' 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([&#x27;2025-01-19T00:00:00Z&#x27;], dtype=&#x27;object&#x27;, name=&#x27;datetimes&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>number</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-30e7ee05-1398-480d-99f4-264f9413e17a' class='xr-index-data-in' type='checkbox'/><label for='index-30e7ee05-1398-480d-99f4-264f9413e17a' 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([0], dtype=&#x27;int64&#x27;, name=&#x27;number&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>steps</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0866fd2a-5524-4d29-9c91-93517bf06f52' class='xr-index-data-in' type='checkbox'/><label for='index-0866fd2a-5524-4d29-9c91-93517bf06f52' 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([10], dtype=&#x27;int64&#x27;, name=&#x27;steps&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>points</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6cf2d7e1-6fa9-4ae4-aa28-9855cc3ee567' class='xr-index-data-in' type='checkbox'/><label for='index-6cf2d7e1-6fa9-4ae4-aa28-9855cc3ee567' 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([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;points&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff54f1f8-4e19-412f-832c-72b118eca7f9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff54f1f8-4e19-412f-832c-72b118eca7f9' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>class :</span></dt><dd>d1</dd><dt><span>dataset :</span></dt><dd>extremes-dt</dd><dt><span>Forecast date :</span></dt><dd>2025-01-19T00:00:00Z</dd><dt><span>expver :</span></dt><dd>0001</dd><dt><span>levtype :</span></dt><dd>pl</dd><dt><span>step :</span></dt><dd>10</dd><dt><span>stream :</span></dt><dd>oper</dd><dt><span>type :</span></dt><dd>fc</dd><dt><span>number :</span></dt><dd>0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 1kB\n",
       "Dimensions:    (datetimes: 1, number: 1, steps: 1, points: 24)\n",
       "Coordinates:\n",
       "  * datetimes  (datetimes) <U20 80B '2025-01-19T00:00:00Z'\n",
       "  * number     (number) int64 8B 0\n",
       "  * steps      (steps) int64 8B 10\n",
       "  * points     (points) int64 192B 0 1 2 3 4 5 6 7 8 ... 16 17 18 19 20 21 22 23\n",
       "    x          (points) float64 192B -0.9667 -0.9667 -0.9667 ... 1.072 1.072\n",
       "    y          (points) float64 192B 359.0 359.0 359.1 ... 1.065 1.03 1.066\n",
       "    z          (points) float64 192B 1.0 1.0 1.0 1.0 1.0 ... 5.0 5.0 5.0 5.0 5.0\n",
       "    time       (points) int64 192B 1 1 1 1 1 1 10 10 10 10 ... 2 2 2 2 2 2 2 2 2\n",
       "Data variables:\n",
       "    u          (datetimes, number, steps, points) float64 192B -61.67 ... 4.669\n",
       "Attributes:\n",
       "    class:          d1\n",
       "    dataset:        extremes-dt\n",
       "    Forecast date:  2025-01-19T00:00:00Z\n",
       "    expver:         0001\n",
       "    levtype:        pl\n",
       "    step:           10\n",
       "    stream:         oper\n",
       "    type:           fc\n",
       "    number:         0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert data to xarray\n",
    "da = ds.to_xarray()\n",
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a578f47",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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