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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ANGEO</journal-id>
<journal-title-group>
<journal-title>Annales Geophysicae</journal-title>
<abbrev-journal-title abbrev-type="publisher">ANGEO</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1432-0576</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/angeo-19-459-2001</article-id>
<title-group>
<article-title>Smoothing radio occultation bending angles above 40 km</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Healy</surname>
<given-names>S. B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>NWP Division, The Met Office, London Road, Bracknell, RG12 2SZ, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>11</month>
<year>1999</year>
</pub-date>
<volume>19</volume>
<issue>4</issue>
<fpage>459</fpage>
<lpage>468</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>
<self-uri xlink:href="http://www.ann-geophys.net/19/459/2001/angeo-19-459-2001.html">This article is available from http://www.ann-geophys.net/19/459/2001/angeo-19-459-2001.html</self-uri>
<self-uri xlink:href="http://www.ann-geophys.net/19/459/2001/angeo-19-459-2001.pdf">The full text article is available as a PDF file from http://www.ann-geophys.net/19/459/2001/angeo-19-459-2001.pdf</self-uri>
<abstract>
<p>The &apos;statistically
optimal&apos; approach to smoothing bending angles derived from radio occultation
(RO) measurements is outlined. This combines a measured bending angle profile
with an &lt;i&gt;a priori &lt;/i&gt;or background estimate derived from climatology, in
order to obtain the most probable bending angle profile. However, the method is
only optimal if the error statistics of both the measured and background
profiles are known and applied accurately. In this work it is shown that
correlations in the background estimate have a significant role in determining
the degree of smoothing in the solution. We find that smooth profiles,
consistent with the measured values, can be derived if the correlations are
approximated analytically with a Gaussian, assuming a scale length of 6km. In
regions where the observed and background error levels are comparable, the
solutions take the general shape from the background estimate, centred on the
observation data. The effects of correlated observation errors are also
considered. It is shown that the quality of the temperature retrievals can be
significantly affected by the choice of climatology used for background
estimate.&lt;br&gt;&lt;br&gt;&lt;b&gt;Key words. &lt;/b&gt;Atmosphere composition
and structure (pressure, density and temperature) – Radio science (remote
sensing)</p>
</abstract>
<counts><page-count count="10"/></counts>
</article-meta>
</front>
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