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<front>
<journal-meta>
<journal-id journal-id-type="publisher">AMT</journal-id>
<journal-title-group>
<journal-title>Atmospheric Measurement Techniques</journal-title>
<abbrev-journal-title abbrev-type="publisher">AMT</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Meas. Tech.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1867-8548</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/amt-4-2509-2011</article-id>
<title-group>
<article-title>A 3-D tomographic retrieval approach with advection compensation   for the air-borne limb-imager GLORIA</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ungermann</surname>
<given-names>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>Blank</surname>
<given-names>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>Lotz</surname>
<given-names>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>Leppkes</surname>
<given-names>K.</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>Hoffmann</surname>
<given-names>L.</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>Guggenmoser</surname>
<given-names>T.</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>Kaufmann</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>Preusse</surname>
<given-names>P.</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>Naumann</surname>
<given-names>U.</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>Riese</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Institute of Energy and Climate Research – Stratosphere (IEK-7),   Research Centre Jülich GmbH, Jülich, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>LuFG Informatik 12: Software and Tools for Computational Engineering, RWTH Aachen, Germany</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Jülich Supercomputing Centre,   Research Centre Jülich GmbH, Jülich, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>24</day>
<month>11</month>
<year>2011</year>
</pub-date>
<volume>4</volume>
<issue>11</issue>
<fpage>2509</fpage>
<lpage>2529</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2011 J. Ungermann et al.</copyright-statement>
<copyright-year>2011</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://amt.copernicus.org/articles/4/2509/2011/amt-4-2509-2011.html">This article is available from https://amt.copernicus.org/articles/4/2509/2011/amt-4-2509-2011.html</self-uri>
<self-uri xlink:href="https://amt.copernicus.org/articles/4/2509/2011/amt-4-2509-2011.pdf">The full text article is available as a PDF file from https://amt.copernicus.org/articles/4/2509/2011/amt-4-2509-2011.pdf</self-uri>
<abstract>
<p>Infrared limb sounding from aircraft can provide 2-D curtains
      of multiple trace gas species. However, conventional limb sounders
      view perpendicular to the aircraft axis and are unable to resolve the
      observed airmass along their line-of-sight. GLORIA (Gimballed Limb
      Observer for Radiance Imaging of the Atmosphere) is a new remote
      sensing instrument that is able to adjust its horizontal view angle with
      respect to the aircraft flight direction from 45° to
      135°. This will allow for tomographic measurements of
      mesoscale structures for a wide variety of atmospheric constituents.
&lt;br&gt;&lt;br&gt;
      Many flights of the GLORIA instrument will not follow closed curves that
      allow measuring an airmass from all directions. Consequently, it is
      examined by means of simulations, what spatial resolution can be expected
      under ideal conditions from tomographic evaluation of measurements made
      during a straight flight. It is demonstrated that the achievable
      horizontal resolution in the line-of-sight direction could be reduced from
      over 200 km to around 70 km compared to conventional retrievals and that
      the tomographic retrieval is also more robust against horizontal gradients
      in retrieved quantities in this direction. In a second step, it is shown
      that the incorporation of channels exhibiting different optical depth can
      further enhance the spatial resolution of 3-D retrievals enabling the
      exploitation of spectral samples usually not used for limb sounding due to
      their opacity.
&lt;br&gt;&lt;br&gt;
      A second problem for tomographic retrievals is that advection, which
      can be neglected for conventional retrievals, plays an important role
      for the time-scales involved in a tomographic measurement flight. This
      paper presents a method to diagnose the effect of a time-varying
      atmosphere on a 3-D retrieval and demonstrates an effective way
      to compensate for effects of advection by incorporating wind-fields
      from meteorological datasets as a priori information.</p>
</abstract>
<counts><page-count count="21"/></counts>
</article-meta>
</front>
<body/>
<back>
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