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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<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-13-12043-2013</article-id>
<title-group>
<article-title>Diagnosing the average spatio-temporal impact of convective systems &amp;ndash; Part 1: A methodology for evaluating climate models</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Johnston</surname>
<given-names>M. S.</given-names>
<ext-link>https://orcid.org/0000-0003-3788-8659</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eliasson</surname>
<given-names>S.</given-names>
<ext-link>https://orcid.org/0000-0002-8475-0479</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eriksson</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Forbes</surname>
<given-names>R. M.</given-names>
<ext-link>https://orcid.org/0000-0002-3596-8287</ext-link>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wyser</surname>
<given-names>K.</given-names>
<ext-link>https://orcid.org/0000-0001-9752-3454</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zelinka</surname>
<given-names>M. D.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Earth and Space Sciences, Chalmers University of  Technology, Gothenburg, Sweden</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Computer Science, Electrical and Space Engineering, Division of Space Technology, Luleå University of Technology,  Kiruna, Sweden</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, California, USA</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Swedish Meteorological and Hydrological Institute, Norrköping, Sweden</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>European Centre for Medium-Range Weather Forecasts, Reading, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>12</day>
<month>12</month>
<year>2013</year>
</pub-date>
<volume>13</volume>
<issue>23</issue>
<fpage>12043</fpage>
<lpage>12058</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2013 M. S. Johnston et al.</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/13/12043/2013/acp-13-12043-2013.html">This article is available from https://acp.copernicus.org/articles/13/12043/2013/acp-13-12043-2013.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/13/12043/2013/acp-13-12043-2013.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/13/12043/2013/acp-13-12043-2013.pdf</self-uri>
<abstract>
<p>An earlier method to determine the mean response of upper-tropospheric
  water to localised deep convective systems (DC systems) is improved and
  applied to the EC-Earth climate model. Following Zelinka and
  Hartmann (2009), several fields related to moist processes and
  radiation from various satellites are composited with respect to the
  local maxima in rain rate to determine their spatio-temporal evolution with deep
  convection in the central Pacific Ocean. Major improvements to the
  earlier study are the isolation of DC systems in time so as to prevent
  multiple sampling of the same event, and a revised definition of the
  mean background state that allows for better characterisation of the
  DC-system-induced anomalies.
&lt;br&gt;&lt;br&gt;
  The observed DC systems in this study propagate westward at
  ~4 m s&lt;sup&gt;&amp;minus;1&lt;/sup&gt;. Both the upper-tropospheric
  relative humidity and the outgoing longwave radiation are substantially
  perturbed over a broad horizontal extent and for periods &gt;30 h.
  The cloud fraction anomaly is fairly constant with height but small maximum can
  be seen around 200 hPa. The cloud ice water content anomaly is mostly
  confined to pressures greater than 150 hPa and reaches its
  maximum around 450 hPa, a few hours after the peak convection. Consistent
  with the large increase in upper-tropospheric cloud ice water content,
  albedo increases dramatically and persists about 30 h after peak convection.
&lt;br&gt;&lt;br&gt;
  Applying the compositing technique to EC-Earth allows an assessment of the
  model representation of DC systems. The model captures the large-scale
  responses, most notably for outgoing longwave radiation, but there are a
  number of important differences. DC systems appear to propagate eastward in the
  model, suggesting a strong link to Kelvin waves instead of equatorial Rossby waves.
  The diurnal cycle in the model is more pronounced and appears to trigger new convection
  further to the west each time. Finally, the modelled ice water content anomaly
  peaks at pressures greater than 500 hPa and in the upper troposphere between
  250 hPa and 500 hPa, there is less ice than the observations and it does
  not persist as long after peak convection. The modelled upper-tropospheric cloud
  fraction anomaly, however, is of a comparable magnitude and exhibits a similar
  longevity as the observations.</p>
</abstract>
<counts><page-count count="16"/></counts>
</article-meta>
</front>
<body/>
<back>
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