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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-10-30055-2010</article-id>
<title-group>
<article-title>A Multi-sensor Upper Tropospheric Ozone Product (MUTOP) based on TES ozone and GOES water vapor: derivation</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Felker</surname>
<given-names>S. R.</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>Moody</surname>
<given-names>J. 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>Wimmers</surname>
<given-names>A. J.</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>Osterman</surname>
<given-names>G.</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>Bowman</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>University of Virginia, Charlottesville, VA, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Cooperative Institute for Meteorological Satellite Studies, Madison, WI, USA</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>NASA Jet Propulsion Laboratory, Pasadena, CA, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>12</month>
<year>2010</year>
</pub-date>
<volume>10</volume>
<issue>12</issue>
<fpage>30055</fpage>
<lpage>30087</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>The Tropospheric Emission Spectrometer (TES), a hyperspectral infrared
instrument on the Aura satellite, retrieves a vertical profile of
tropospheric ozone. However, polar-orbiting instruments like TES provide
limited nadir-view coverage. This work illustrates the value of these
observations when taken in context with information about synoptic-scale
weather patterns. The goal of this study is to create map-view products of
upper troposphere (UT) ozone through the integration of TES ozone
measurements with two synoptic dynamical tracers of stratospheric influence:
specific humidity derived from the GOES Imager, and potential vorticity from
an operational forecast model. As a mixing zone between tropospheric and
stratospheric reservoirs, the upper troposphere (UT) exhibits a complex
chemical makeup. Determination of ozone mixing ratios in this layer is
especially difficult without direct in-situ measurement. However, it is well
understood that UT ozone is correlated with dynamical tracers like low
specific humidity and high potential vorticity. Blending the advantages of
two remotely sensed quantities (GOES water vapor and TES ozone) is at the
core of the Multi-sensor Upper Tropospheric Ozone Product (MUTOP).
&lt;br&gt;&lt;br&gt;
Our approach results in the temporal and spatial coverage of a geostationary
platform, a major improvement over individual polar overpasses, while
retaining TES&apos;s ability to characterize UT ozone. Results suggest that over
70% of TES-observed UT ozone variability can be explained by correlation
with the two dynamical tracers. MUTOP reproduces TES retrievals across the
GOES-West domain with a root mean square error (RMSE) of 19.2 ppbv. There
are several advantages to this multi-sensor derived product approach: (1) it
is calculated from 2 operational fields (GOES specific humidity and GFS PV),
so the layer-average ozone can be created and used in near real-time; (2)
the product provides the spatial resolution and coverage of a geostationary
platform as it depicts the distribution of dynamically driven ozone in the
UT; and (3) the 6 h temporal resolution of the imagery allows for the
visualization of rapid movement of this dynamically-driven ozone in the UT.
This paper presents the scientific basis and methodology behind the creation
of this unique ozone product, as well as a statistical comparison of the
derived product to a set of coincident TES observations.</p>
</abstract>
<counts><page-count count="33"/></counts>
</article-meta>
</front>
<body/>
<back>
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