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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-9-4279-2009</article-id>
<title-group>
<article-title>Identifying convective transport of carbon monoxide by comparing remotely sensed observations from TES with cloud modeling simulations</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Halland</surname>
<given-names>J. 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>Fuelberg</surname>
<given-names>H. E.</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>Pickering</surname>
<given-names>K. E.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Luo</surname>
<given-names>M.</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 Meteorology, Florida State University, Tallahassee, Florida, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>NASA Goddard Space Flight Center, Greenbelt, Maryland, USA</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Jet Propulsion Laboratory, Pasadena, California, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>03</day>
<month>07</month>
<year>2009</year>
</pub-date>
<volume>9</volume>
<issue>13</issue>
<fpage>4279</fpage>
<lpage>4294</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2009 J. J. Halland et al.</copyright-statement>
<copyright-year>2009</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/9/4279/2009/acp-9-4279-2009.html">This article is available from https://acp.copernicus.org/articles/9/4279/2009/acp-9-4279-2009.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/9/4279/2009/acp-9-4279-2009.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/9/4279/2009/acp-9-4279-2009.pdf</self-uri>
<abstract>
<p>Understanding the mechanisms that transport pollutants from the surface to
the free atmosphere is important for determining the atmosphere&apos;s chemical
composition. This study quantifies the vertical transport of tropospheric
carbon monoxide (CO) by deep mesoscale convective systems and assesses the
ability of the satellite-borne Tropospheric Emission Spectrometer (TES) to
detect the resulting enhanced CO in the upper atmosphere. A squall line that
is similar to one occurring during NASA&apos;s INTEX-B mission is simulated using
a typical environmental wind shear profile and the 2-D Goddard Cumulus
Ensemble model. The simulation provides post-convection CO profiles. The
structure of the simulated squall line is examined, and its vertical
transport of CO is quantified. Then, TES&apos; ability to resolve the
convectively modified CO distribution is documented using a &quot;clear-sky&quot;
retrieval scheme. Results show that the simulated squall line transports the
greatest mass of CO in the upper levels, with a value of 96 &lt;i&gt;t&lt;/i&gt; upward and 67 &lt;i&gt;t&lt;/i&gt;
downward at 300 hPa. Results indicate that TES has sufficient sensitivity
to resolve convectively lofted CO, as long as the retrieval scene is
cloud-free. TES swaths located immediately downwind of squall lines have the
greatest chance of sensing convective transport because the impact of clouds
on retrieval quality becomes less. A note of caution is to always analyze
TES-derived CO data (or data from any satellite sensor) together with the
retrieval averaging kernels that describe the information content
of the retrieval.</p>
</abstract>
<counts><page-count count="16"/></counts>
</article-meta>
</front>
<body/>
<back>
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