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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ADGEO</journal-id>
<journal-title-group>
<journal-title>Advances in Geosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7359</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/adgeo-16-63-2008</article-id>
<title-group>
<article-title>First results on a process-oriented rain area classification technique using Meteosat Second Generation SEVIRI nighttime data</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Thies</surname>
<given-names>B.</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>Nauss</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>Bendix</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Laboratory for Climatology and Remote Sensing, Philipps-University Marburg, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>09</day>
<month>04</month>
<year>2008</year>
</pub-date>
<volume>16</volume>
<fpage>63</fpage>
<lpage>72</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2008 B. Thies et al.</copyright-statement>
<copyright-year>2008</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://adgeo.copernicus.org/articles/16/63/2008/adgeo-16-63-2008.html">This article is available from https://adgeo.copernicus.org/articles/16/63/2008/adgeo-16-63-2008.html</self-uri>
<self-uri xlink:href="https://adgeo.copernicus.org/articles/16/63/2008/adgeo-16-63-2008.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/16/63/2008/adgeo-16-63-2008.pdf</self-uri>
<abstract>
<p>A  new technique for process-oriented rain area classification using Meteosat Second
Generation SEVIRI nighttime data is introduced. It is based on a combination of the
Advective Convective Technique (ACT) which focuses on precipitation areas connected to
convective processes and the Rain Area Delineation Scheme during Nighttime (RADS-N) a new
technique for the improved detection of stratiform precipitation areas (e.g. in connection with mid-latitude frontal systems).
The ACT which uses positive brightness temperature differences between the water vapour
(WV) and the infrared (IR) channels (&amp;Delta;T&lt;sub&gt;WV-IR&lt;/sub&gt;) for the detection of
convective clouds and connected precipitating clouds has been transferred from Meteosat First
Generation (MFG) Metesoat Visible and Infra-Red Imager radiometer (MVIRI) to Meteosat
Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI).
RADS-N is based on the new conceptual model that precipitating cloud areas are characterised by a
large cloud water path (&lt;i&gt;cwp&lt;/i&gt;) and the presence of ice particles in the upper part of the cloud. The
technique considers information about both parameters inherent in the channel differences
&amp;Delta;T&lt;sub&gt;3.9-10.8&lt;/sub&gt;, &amp;Delta;T&lt;sub&gt;3.9-7.3&lt;/sub&gt;, &amp;Delta;T&lt;sub&gt;8.7-10.8&lt;/sub&gt;, and
&amp;Delta;T&lt;sub&gt;10.8-12.1&lt;/sub&gt;, to detect potentially precipitating cloud areas. All four
channel differences are used to gain implicit knowledge about the &lt;i&gt;cwp&lt;/i&gt;. &amp;Delta;T&lt;sub&gt;8.7-10.8&lt;/sub&gt; 
and &amp;Delta;T&lt;sub&gt;10.8-12.1&lt;/sub&gt; are additionally considered to gain information about the cloud phase.
First results of a comparison study between the classified rain areas and corresponding ground based
radar data for precipitation events in connection with a cold front occlusion show  encouraging
performance of the new proposed process-oriented rain area classification scheme.</p>
</abstract>
<counts><page-count count="10"/></counts>
</article-meta>
</front>
<body/>
<back>
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