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fix(wsim): update wsim explanation for python
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Signed-off-by: Akshay Mestry <xa@mes3.dev>
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github-actions[bot] committed Sep 19, 2024
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10 changes: 5 additions & 5 deletions _documentation/_modules/_001-water-module/wsim-gldas.html
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Expand Up @@ -946,11 +946,11 @@ <h2>Reading the Data<a @click.prevent="window.navigator.clipboard.writeText($el.
dtype='datetime64[ns]', name='time', length=793, freq=None))</pre></div></input></li></ul></div></li><li class="xr-section-item"><input class="xr-section-summary-in" id="section-9179be3e-69dc-4e43-bfba-053202d78b75" type="checkbox"/><label class="xr-section-summary" for="section-9179be3e-69dc-4e43-bfba-053202d78b75">Attributes: <span>(5)</span></label><div class="xr-section-inline-details"></div><div class="xr-section-details"><dl class="xr-attrs"><dt><span>date_created :</span></dt><dd>2021-03-26T16:07:53+0000</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Title :</span></dt><dd>Water Security Indicator Model -- Global Land Data Assimilation System Data Set (WSIM-GLDAS), version 1.0: Monthly Grids</dd><dt><span>Institution :</span></dt><dd>NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN) Columbia University</dd><dt><span>References :</span></dt><dd>Crowley, C., Baston, D., Brinks, J. 2020. Water Security Indicator Model -- Global Land Data Assimilation System Data Set (WSIM-GLDAS), version 1.0: Monthly Grids. Palisades, NY: NASA Socioeconomic Data and Applications Center.</dd></dl></div></li></ul></div></div><div class="line-block">
<div class="line"><br/></div>
</div>
<p>The output reveals that the dataset consists of five attributes: <code class="docutils literal notranslate"><span class="pre">deficit</span></code>,
<code class="docutils literal notranslate"><span class="pre">deficit_cause</span></code>, <code class="docutils literal notranslate"><span class="pre">surplus</span></code>, <code class="docutils literal notranslate"><span class="pre">surplus_cause</span></code>, and <code class="docutils literal notranslate"><span class="pre">both</span></code> (a combination
of <code class="docutils literal notranslate"><span class="pre">surpluses</span></code> and <code class="docutils literal notranslate"><span class="pre">deficits</span></code>). Additionally, it has three dimensions:
<code class="docutils literal notranslate"><span class="pre">longitude</span></code> and <code class="docutils literal notranslate"><span class="pre">latitude</span></code> (spatial extents on the x/y axes) and <code class="docutils literal notranslate"><span class="pre">time</span></code>
as the third dimension.</p>
<p>The output reveals that the dataset consists of five attributes:
<code class="docutils literal notranslate"><span class="pre">deficit</span></code>, <code class="docutils literal notranslate"><span class="pre">deficit_cause</span></code>, <code class="docutils literal notranslate"><span class="pre">surplus</span></code>, <code class="docutils literal notranslate"><span class="pre">surplus_cause</span></code>, and
<code class="docutils literal notranslate"><span class="pre">both</span></code> (a combination of <code class="docutils literal notranslate"><span class="pre">surpluses</span></code> and <code class="docutils literal notranslate"><span class="pre">deficits</span></code>.
Additionally, it has three dimensions: <code class="docutils literal notranslate"><span class="pre">longitude</span></code> and <code class="docutils literal notranslate"><span class="pre">latitude</span></code>
(spatial extents on the x/y axes) and <code class="docutils literal notranslate"><span class="pre">time</span></code> as the third dimension.</p>
</div>
</div>
<p>In total, this amounts to <strong>4020 individual</strong> raster layers (calculated as 5
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Original file line number Diff line number Diff line change
Expand Up @@ -391,11 +391,11 @@ Reading the Data
.. include:: water-module-001/cell-3.rst
|
The output reveals that the dataset consists of five attributes: ``deficit``,
``deficit_cause``, ``surplus``, ``surplus_cause``, and ``both`` (a combination
of ``surpluses`` and ``deficits``). Additionally, it has three dimensions:
``longitude`` and ``latitude`` (spatial extents on the x/y axes) and ``time``
as the third dimension.
The output reveals that the dataset consists of five attributes:
``deficit``, ``deficit_cause``, ``surplus``, ``surplus_cause``, and
``both`` (a combination of ``surpluses`` and ``deficits``.
Additionally, it has three dimensions: ``longitude`` and ``latitude``
(spatial extents on the x/y axes) and ``time`` as the third dimension.

In total, this amounts to **4020 individual** raster layers (calculated as 5
attributes multiplied by **804 time steps/months**). This is a clear
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10 changes: 5 additions & 5 deletions es/_documentation/_modules/_001-water-module/wsim-gldas.html
Original file line number Diff line number Diff line change
Expand Up @@ -946,11 +946,11 @@ <h2>Reading the Data<a @click.prevent="window.navigator.clipboard.writeText($el.
dtype='datetime64[ns]', name='time', length=793, freq=None))</pre></div></input></li></ul></div></li><li class="xr-section-item"><input class="xr-section-summary-in" id="section-9179be3e-69dc-4e43-bfba-053202d78b75" type="checkbox"/><label class="xr-section-summary" for="section-9179be3e-69dc-4e43-bfba-053202d78b75">Attributes: <span>(5)</span></label><div class="xr-section-inline-details"></div><div class="xr-section-details"><dl class="xr-attrs"><dt><span>date_created :</span></dt><dd>2021-03-26T16:07:53+0000</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Title :</span></dt><dd>Water Security Indicator Model -- Global Land Data Assimilation System Data Set (WSIM-GLDAS), version 1.0: Monthly Grids</dd><dt><span>Institution :</span></dt><dd>NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN) Columbia University</dd><dt><span>References :</span></dt><dd>Crowley, C., Baston, D., Brinks, J. 2020. Water Security Indicator Model -- Global Land Data Assimilation System Data Set (WSIM-GLDAS), version 1.0: Monthly Grids. Palisades, NY: NASA Socioeconomic Data and Applications Center.</dd></dl></div></li></ul></div></div><div class="line-block">
<div class="line"><br/></div>
</div>
<p>The output reveals that the dataset consists of five attributes: <code class="docutils literal notranslate"><span class="pre">deficit</span></code>,
<code class="docutils literal notranslate"><span class="pre">deficit_cause</span></code>, <code class="docutils literal notranslate"><span class="pre">surplus</span></code>, <code class="docutils literal notranslate"><span class="pre">surplus_cause</span></code>, and <code class="docutils literal notranslate"><span class="pre">both</span></code> (a combination
of <code class="docutils literal notranslate"><span class="pre">surpluses</span></code> and <code class="docutils literal notranslate"><span class="pre">deficits</span></code>). Additionally, it has three dimensions:
<code class="docutils literal notranslate"><span class="pre">longitude</span></code> and <code class="docutils literal notranslate"><span class="pre">latitude</span></code> (spatial extents on the x/y axes) and <code class="docutils literal notranslate"><span class="pre">time</span></code>
as the third dimension.</p>
<p>The output reveals that the dataset consists of five attributes:
<code class="docutils literal notranslate"><span class="pre">deficit</span></code>, <code class="docutils literal notranslate"><span class="pre">deficit_cause</span></code>, <code class="docutils literal notranslate"><span class="pre">surplus</span></code>, <code class="docutils literal notranslate"><span class="pre">surplus_cause</span></code>, and
<code class="docutils literal notranslate"><span class="pre">both</span></code> (a combination of <code class="docutils literal notranslate"><span class="pre">surpluses</span></code> and <code class="docutils literal notranslate"><span class="pre">deficits</span></code>.
Additionally, it has three dimensions: <code class="docutils literal notranslate"><span class="pre">longitude</span></code> and <code class="docutils literal notranslate"><span class="pre">latitude</span></code>
(spatial extents on the x/y axes) and <code class="docutils literal notranslate"><span class="pre">time</span></code> as the third dimension.</p>
</div>
</div>
<p>In total, this amounts to <strong>4020 individual</strong> raster layers (calculated as 5
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -391,11 +391,11 @@ Reading the Data
.. include:: water-module-001/cell-3.rst
|
The output reveals that the dataset consists of five attributes: ``deficit``,
``deficit_cause``, ``surplus``, ``surplus_cause``, and ``both`` (a combination
of ``surpluses`` and ``deficits``). Additionally, it has three dimensions:
``longitude`` and ``latitude`` (spatial extents on the x/y axes) and ``time``
as the third dimension.
The output reveals that the dataset consists of five attributes:
``deficit``, ``deficit_cause``, ``surplus``, ``surplus_cause``, and
``both`` (a combination of ``surpluses`` and ``deficits``.
Additionally, it has three dimensions: ``longitude`` and ``latitude``
(spatial extents on the x/y axes) and ``time`` as the third dimension.

In total, this amounts to **4020 individual** raster layers (calculated as 5
attributes multiplied by **804 time steps/months**). This is a clear
Expand Down

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