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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-20-3-2009</article-id>
<title-group>
<article-title>Dual-polarization C-band weather radar algorithms for rain rate estimation and hydrometeor classification in an alpine region</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Paulitsch</surname>
<given-names>H.</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>Teschl</surname>
<given-names>F.</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>Randeu</surname>
<given-names>W. L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Broadband Communications, Graz University of Technology, Graz, Austria</addr-line>
</aff>
<pub-date pub-type="epub">
<day>09</day>
<month>03</month>
<year>2009</year>
</pub-date>
<volume>20</volume>
<fpage>3</fpage>
<lpage>8</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2009 H. Paulitsch et al.</copyright-statement>
<copyright-year>2009</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/20/3/2009/adgeo-20-3-2009.html">This article is available from https://adgeo.copernicus.org/articles/20/3/2009/adgeo-20-3-2009.html</self-uri>
<self-uri xlink:href="https://adgeo.copernicus.org/articles/20/3/2009/adgeo-20-3-2009.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/20/3/2009/adgeo-20-3-2009.pdf</self-uri>
<abstract>
<p>Dual polarization is becoming the standard for new weather radar systems. In
contrast to conventional weather radars, where the reflectivity is measured
in one polarization plane only, a dual polarization radar provides
transmission in either horizontal, vertical, or both polarizations while
receiving both the horizontal and vertical channels simultaneously. Since
hydrometeors are often far from being spherical, the backscatter and
propagation are different for horizontal and vertical polarization.
Comparing the reflected horizontal and vertical power returns and their
ratio and correlation, information on size, shape, and material density of
cloud and precipitation particles can be obtained. The use of polarimetric
radar variables can therefore increase the accuracy of the rain rate
estimation compared to standard &lt;i&gt;Z-R&lt;/i&gt; relationships of non-polarimetric
radars. It is also possible to derive the type of precipitation from dual
polarization parameters, although this is not an easy task, since there is
no clear discrimination between the different values. Fuzzy logic approaches
have been shown to work well with overlapping conditions and imprecisely
defined class output.
&lt;br&gt;&lt;br&gt;
In this paper the implementation of different polarization algorithms for
the new Austrian weather radar on Mt. Valluga is described, and first
results from operational use are presented. This study also presents first
observations of rain events in August 2007 during the test run of the radar.
Further, the designated rain rate estimation and hydrometeor classification
algorithms are explained.</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple">Baldini, L., Gorgucci, E., Chandrasekar, V., and Peterson, W.: Implementations of CSU hydrometeor classification scheme for C-band polarimetric radars, 32nd Conference on Radar Meteorology, September 2005, Albuquerque, NM 2005. </mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple">Brandes, E., Zhang, G., and Vivekanandan, J.: Experiments in rainfall estimation with a polarimetric radar in a subtropical environment, J. Appl. Meteor., 41, 674–685, 2002. </mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple">Bringi, V. N. and Chandrasekhar, V.: Polarimetric Doppler Weather Radar. Principles and Applications. Cambridge University Press, NY, 636 pp., 2001. </mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple">Lim, S., Chandrasekar, V., and Bringi, V. N.: Hydrometeor Classification System Using Dual-Polarization Radar Measurements: Model Improvements and In Situ Verification, IEEE Trans. Geosci. Remote Sens., 43, 792–801, 2005. </mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple">Liu, H., and Chandrasekar, V.: Classification of Hydrometeors Based on Polarimetric Radar Measurements: Development of Fuzzy Logic and Neuro-Fuzzy Systems, and In Situ Verification, J. Atmos. Oceanic Technol., 17, 140–164, 2000. </mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple">Smyth, T. J. and Illingworth, A. J.: Correction for attenuation of radar reflectivity using polarization data, Quart. J Roy. Meteor. Soc., 124, 2393–2415, 1998. </mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple">Teschl, F., Randeu, W. L., Schönhuber, M., and Teschl, R.: Simulation of polarimetric radar variables in rain at S-, C- and X-band wavelengths, Adv. Geosci., 16, 27–32, 2008. </mixed-citation>
</ref>
</ref-list>
</back>
</article>