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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACPD</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACPD</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7375</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/acpd-8-19201-2008</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>14</day>
<month>11</month>
<year>2008</year>
</pub-date>
<volume>8</volume>
<issue>6</issue>
<fpage>19201</fpage>
<lpage>19247</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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<self-uri xlink:href="http://www.atmos-chem-phys-discuss.net/8/19201/2008/acpd-8-19201-2008.pdf">The full text article is available as a PDF file from http://www.atmos-chem-phys-discuss.net/8/19201/2008/acpd-8-19201-2008.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 t upward and
67 t downward at 300 hPa. Maximum updraft speed is found to be unimportant in
determining the net CO flux transported by a storm, but is important in
determining the altitude to which the storm transports the boundary layer
CO. 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 kernel diagonals or other parameters describing the information
content of the retrieval.</p>
</abstract>
<counts><page-count count="47"/></counts>
</article-meta>
</front>
<body/>
<back>
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