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<front>
<journal-meta>
<journal-id journal-id-type="publisher">GMD</journal-id>
<journal-title-group>
<journal-title>Geoscientific Model Development</journal-title>
<abbrev-journal-title abbrev-type="publisher">GMD</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1991-9603</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/gmd-3-391-2010</article-id>
<title-group>
<article-title>Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pringle</surname>
<given-names>K. J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tost</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>Message</surname>
<given-names>S.</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>Steil</surname>
<given-names>B.</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>Giannadaki</surname>
<given-names>D.</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>Nenes</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fountoukis</surname>
<given-names>C.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stier</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vignati</surname>
<given-names>E.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lelieveld</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Max Planck Institute for Chemistry, Mainz, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Earth and Environment, University of Leeds, Leeds, UK</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Schools of Earth &amp; Atmospheric Sciences and Chemical &amp; Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Institute of Chemical Engineering and High Temperature Chemical Processes, Foundation for Research and Technology – Hellas, Patras, Greece</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>Joint Research Centre, Institute for Environment and Sustainability, Climate Change Unit, Ispra, Italy</addr-line>
</aff>
<aff id="aff7">
<label>7</label>
<addr-line>The Cyprus Institute, Energy, Environment and Water Research Centre, Nicosia, Cyprus</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>09</month>
<year>2010</year>
</pub-date>
<volume>3</volume>
<issue>2</issue>
<fpage>391</fpage>
<lpage>412</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>
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<abstract>
<p>We present a new aerosol microphysics and gas aerosol partitioning submodel
(Global Modal-aerosol eXtension, GMXe) implemented within the ECHAM/MESSy
Atmospheric Chemistry model (EMAC, version 1.8). The submodel is
computationally efficient and is suitable for medium to long term simulations
with global and regional models. The aerosol size distribution is treated
using 7 log-normal modes and has the same microphysical core as the M7
submodel (Vignati et al., 2004).
&lt;br&gt;&lt;br&gt;
The main developments in this work are: (i) the extension of the
aerosol emission routines and the M7 microphysics, so that an
increased (and variable) number of aerosol species can be treated
(new species include sodium and chloride, and potentially magnesium,
calcium, and potassium), (ii) the coupling of the aerosol
microphysics to a choice of treatments of gas/aerosol partitioning
to allow the treatment of semi-volatile aerosol, and, (iii) the
implementation and evaluation of the developed submodel within the
EMAC model of atmospheric chemistry.
&lt;br&gt;&lt;br&gt;
Simulated concentrations of black carbon, particulate organic matter, dust,
sea spray, sulfate and ammonium aerosol are shown to be in good agreement
with observations (for all species at least 40% of modeled values are within
a factor of 2 of the observations). The distribution of nitrate aerosol is
compared to observations in both clean and polluted regions. Concentrations
in polluted continental regions are simulated quite well, but there is a
general tendency to overestimate nitrate, particularly in coastal regions
(geometric mean of modelled values/geometric mean of observed data
≈2). In all regions considered more than 40% of nitrate
concentrations are within a factor of two of the observations. Marine nitrate
concentrations are well captured with 96% of modeled values within a factor
of 2 of the observations.</p>
</abstract>
<counts><page-count count="22"/></counts>
</article-meta>
</front>
<body/>
<back>
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