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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acp-13-5631-2013</article-id>
<title-group>
<article-title>Large-eddy simulation of organized precipitating trade wind cumulus clouds</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Seifert</surname>
<given-names>A.</given-names>
<ext-link>https://orcid.org/0000-0001-9760-3550</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Heus</surname>
<given-names>T.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst, Hamburg, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Max Planck Institute for Meteorology, Hamburg, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>06</month>
<year>2013</year>
</pub-date>
<volume>13</volume>
<issue>11</issue>
<fpage>5631</fpage>
<lpage>5645</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2013 A. Seifert</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://acp.copernicus.org/articles/13/5631/2013/acp-13-5631-2013.html">This article is available from https://acp.copernicus.org/articles/13/5631/2013/acp-13-5631-2013.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/13/5631/2013/acp-13-5631-2013.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/13/5631/2013/acp-13-5631-2013.pdf</self-uri>
<abstract>
<p>Trade wind cumulus clouds often organize in along-wind cloud streets and
across-wind mesoscale arcs. We present a benchmark large-eddy simulation
which resolves the individual clouds as well as the mesoscale organization on
scales of O(10 km). Different methods to quantify
organization of cloud fields are applied and discussed. Using perturbed
physics large-eddy simulation experiments, the processes leading to the
formation of cloud clusters and the mesoscale arcs are revealed. We find that
both cold pools as well as the sub-cloud layer moisture field are crucial to
understand the organization of precipitating shallow convection. Further
sensitivity studies show that microphysical assumptions can have a pronounced
impact on the onset of cloud organization.</p>
</abstract>
<counts><page-count count="15"/></counts>
</article-meta>
</front>
<body/>
<back>
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