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+            
+  <div class="section" id="module-disaggregation">
+<span id="auto-generated-documentation"></span><h1>Auto Generated Documentation<a class="headerlink" href="#module-disaggregation" title="Permalink to this headline">¶</a></h1>
+<dl class="function">
+<dt id="disaggregation.IA3">
+<code class="descclassname">disaggregation.</code><code class="descname">IA3</code><span class="sig-paren">(</span><em>g</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/disaggregation.html#IA3"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#disaggregation.IA3" title="Permalink to this definition">¶</a></dt>
+<dd><p>Interpolation with a non-negative geometric mean based algorithm.</p>
+<p>The original grid is reconstructed by adding two sampling points in each
+data series interval. This subgrid is used to keep all information during
+the interpolation within the associated interval. Additionally, an advanced
+monotonicity filter is applied to improve the monotonicity properties of
+the series.</p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p>Copyright 2017
+Sabine Hittmeir, Anne Philipp, Petra Seibert</p>
+<p class="last">This work is licensed under the Creative Commons Attribution 4.0
+International License. To view a copy of this license, visit
+<a class="reference external" href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a> or send a letter to
+Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.</p>
+</div>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>g</strong> (<code class="xref py py-obj docutils literal notranslate"><span class="pre">list</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>) – Complete data series that will be interpolated having
+the dimension of the original raw series.</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><strong>f</strong> – The interpolated data series with additional subgrid points.
+Its dimension is equal to the length of the input data series
+times three.</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><code class="xref py py-obj docutils literal notranslate"><span class="pre">list</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">References</p>
+<p>For more information see article:
+Hittmeir, S.; Philipp, A.; Seibert, P. (2017): A conservative
+interpolation scheme for extensive quantities with application to the
+Lagrangian particle dispersion model FLEXPART.,
+Geoscientific Model Development</p>
+</dd></dl>
+
+<dl class="function">
+<dt id="disaggregation.dapoly">
+<code class="descclassname">disaggregation.</code><code class="descname">dapoly</code><span class="sig-paren">(</span><em>alist</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/disaggregation.html#dapoly"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#disaggregation.dapoly" title="Permalink to this definition">¶</a></dt>
+<dd><p>Cubic polynomial interpolation of deaccumulated fluxes.</p>
+<p>Interpolation of deaccumulated fluxes of an ECMWF model FG field
+using a cubic polynomial solution which conserves the integrals
+of the fluxes within each timespan.
+Disaggregation is done for 4 accumluated timespans which
+generates a new, disaggregated value which is output at the
+central point of the 4 accumulation timespans.
+This new point is used for linear interpolation of the complete
+timeseries afterwards.</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>alist</strong> (<code class="xref py py-obj docutils literal notranslate"><span class="pre">list</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">array</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>) – List of 4 timespans as 2-dimensional, horizontal fields.
+E.g. [[array_t1], [array_t2], [array_t3], [array_t4]]</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><strong>nfield</strong> – Interpolated flux at central point of accumulation timespan.</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code></td>
+</tr>
+</tbody>
+</table>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<dl class="last docutils">
+<dt>March 2000 <span class="classifier-delimiter">:</span> <span class="classifier">P. JAMES</span></dt>
+<dd>Original author</dd>
+<dt>June 2003 <span class="classifier-delimiter">:</span> <span class="classifier">A. BECK</span></dt>
+<dd>Adaptations</dd>
+<dt>November 2015 <span class="classifier-delimiter">:</span> <span class="classifier">Leopold Haimberger (University of Vienna)</span></dt>
+<dd>Migration from Fortran to Python</dd>
+</dl>
+</div>
+</dd></dl>
+
+<dl class="function">
+<dt id="disaggregation.darain">
+<code class="descclassname">disaggregation.</code><code class="descname">darain</code><span class="sig-paren">(</span><em>alist</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/disaggregation.html#darain"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#disaggregation.darain" title="Permalink to this definition">¶</a></dt>
+<dd><p>Linear interpolation of deaccumulated fluxes.</p>
+<p>Interpolation of deaccumulated fluxes of an ECMWF model FG rainfall
+field using a modified linear solution which conserves the integrals
+of the fluxes within each timespan.
+Disaggregation is done for 4 accumluated timespans which generates
+a new, disaggregated value which is output at the central point
+of the 4 accumulation timespans. This new point is used for linear
+interpolation of the complete timeseries afterwards.</p>
+<table class="docutils field-list" frame="void" rules="none">
+<col class="field-name" />
+<col class="field-body" />
+<tbody valign="top">
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>alist</strong> (<code class="xref py py-obj docutils literal notranslate"><span class="pre">list</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">array</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>) – List of 4 timespans as 2-dimensional, horizontal fields.
+E.g. [[array_t1], [array_t2], [array_t3], [array_t4]]</td>
+</tr>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><strong>nfield</strong> – Interpolated flux at central point of accumulation timespan.</td>
+</tr>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code></td>
+</tr>
+</tbody>
+</table>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<dl class="last docutils">
+<dt>March 2000 <span class="classifier-delimiter">:</span> <span class="classifier">P. JAMES</span></dt>
+<dd>Original author</dd>
+<dt>June 2003 <span class="classifier-delimiter">:</span> <span class="classifier">A. BECK</span></dt>
+<dd>Adaptations</dd>
+<dt>November 2015 <span class="classifier-delimiter">:</span> <span class="classifier">Leopold Haimberger (University of Vienna)</span></dt>
+<dd>Migration from Fortran to Python</dd>
+</dl>
+</div>
+</dd></dl>
+
+</div>
+
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