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<front>
<journal-meta>
<journal-id journal-id-type="publisher">GMDD</journal-id>
<journal-title-group>
<journal-title>Geoscientific Model Development Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">GMDD</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1991-962X</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/gmdd-6-331-2013</article-id>
<title-group>
<article-title>Sensitivity of remote aerosol distributions to representation of cloud-aerosol interactions in a global climate model</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>H.</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>Easter</surname>
<given-names>R. C.</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>Rasch</surname>
<given-names>P. J.</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>Wang</surname>
<given-names>M.</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>Liu</surname>
<given-names>X.</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>Ghan</surname>
<given-names>S. J.</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>Qian</surname>
<given-names>Y.</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>Yoon</surname>
<given-names>J.-H.</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>Ma</surname>
<given-names>P.-L.</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>Velu</surname>
<given-names>V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Richland, Washington, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>21</day>
<month>01</month>
<year>2013</year>
</pub-date>
<volume>6</volume>
<issue>1</issue>
<fpage>331</fpage>
<lpage>378</lpage>
<permissions>
<license xlink:type="simple">
<license-p>This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.geosci-model-dev-discuss.net/6/331/2013/gmdd-6-331-2013.html">This article is available from http://www.geosci-model-dev-discuss.net/6/331/2013/gmdd-6-331-2013.html</self-uri>
<self-uri xlink:href="http://www.geosci-model-dev-discuss.net/6/331/2013/gmdd-6-331-2013.pdf">The full text article is available as a PDF file from http://www.geosci-model-dev-discuss.net/6/331/2013/gmdd-6-331-2013.pdf</self-uri>
<abstract>
<p>Many global aerosol and climate models, including the widely used
  Community Atmosphere Model version 5 (CAM5), have large biases in
  predicting aerosols in remote regions such as upper troposphere and
  high latitudes. In this study, we conduct CAM5 sensitivity
  simulations to understand the role of key processes associated with
  aerosol transformation and wet removal affecting the vertical and
  horizontal long-range transport of aerosols to the remote
  regions. Improvements are made to processes that are currently not
  well represented in CAM5, which are guided by surface and aircraft
  measurements together with results from a multi-scale
  aerosol-climate model (PNNL-MMF) that explicitly represents
  convection and aerosol-cloud interactions at cloud-resolving
  scales. We pay particular attention to black carbon (BC) due to its
  importance in the Earth system and the availability of measurements.
&lt;br&gt;&lt;br&gt;
  We introduce into CAM5 a new unified scheme for convective transport
  and aerosol wet removal with explicit aerosol activation above
  convective cloud base. This new implementation reduces the excessive
  BC aloft to better simulate observed BC profiles that show
  decreasing mixing ratios in the mid- to upper-troposphere. After
  implementing this new unified convective scheme, we examine wet
  removal of submicron aerosols that occurs primarily through cloud
  processes. The wet removal depends strongly on the sub-grid scale
  liquid cloud fraction and the rate of conversion of liquid water to
  precipitation. These processes lead to very strong wet removal of BC
  and other aerosols over mid- to high latitudes during winter
  months. With our improvements, the Arctic BC burden has a10-fold
  (5-fold) increase in the winter (summer) months, resulting in a much
  better simulation of the BC seasonal cycle as well. Arctic sulphate
  and other aerosol species also increase but to a lesser extent. An
  explicit treatment of BC aging with slower aging assumptions
  produces an additional 30-fold (5-fold) increase in the Arctic
  winter (summer) BC burden. This BC aging treatment, however, has
  minimal effect on other under-predicted species. Interestingly, our
  modifications to CAM5 that aim at improving prediction of
  high-latitude and upper tropospheric aerosols also produce much
  better aerosol optical depth over various other regions globally when
  compared to multi-year AERONET retrievals. The improved aerosol
  distributions have impacts on other aspects of CAM5, improving the
  simulation of global mean liquid water path and cloud forcing.</p>
</abstract>
<counts><page-count count="48"/></counts>
</article-meta>
</front>
<body/>
<back>
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