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    <link>http://hdl.handle.net/2117/3861</link>
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    <pubDate>Wed, 19 Jun 2013 21:12:24 GMT</pubDate>
    <dc:date>2013-06-19T21:12:24Z</dc:date>
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      <itunes:email>webmaster.bupc@upc.edu</itunes:email>
      <itunes:name>Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació</itunes:name>
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      <title>Blending of radar and gauge rainfall measurements: a preliminary analysis of the impact of radar errors</title>
      <link>http://hdl.handle.net/2117/16400</link>
      <description>Title: Blending of radar and gauge rainfall measurements: a preliminary analysis of the impact of radar errors
Authors: Sempere Torres, Daniel; Berenguer Ferrer, Marc; Velasco Forero, Carlos Alfonso
Abstract: Several methodologies have been proposed to combine radar and raingauge measurements with&#xD;
the aim of generating improved quantitative precipitation estimates (QPEs). These methods are based on interpolating point raingauge measurements (implicitly assumed to be “the truth”) and benefiting from the&#xD;
structure of the rainfall field as depicted by the radar. The use of a non-parametric approach based on radar measurements has been recently demonstrated, showing the benefits in the interpolation of raingauge&#xD;
measurements under the hypotheses of the Kriging approach. Several experiments have been carried out over a large number of cases and a variety of regions, Kriging with an external drift (i.e. the radar description of the rainfall field) being the approach showing more robust and (overall) better performance. Here, the impact of the discrepancies between two almost-collocated radars on the blended QPE fields was investigated.</description>
      <pubDate>Wed, 29 Aug 2012 10:52:45 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/16400</guid>
      <dc:date>2012-08-29T10:52:45Z</dc:date>
      <itunes:author>Sempere Torres, Daniel; Berenguer Ferrer, Marc; Velasco Forero, Carlos Alfonso</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords>QPE, radar-raingauge blending, spatial variability of rainfall, radar errors, radar calibration</itunes:keywords>
      <itunes:summary>Several methodologies have been proposed to combine radar and raingauge measurements with&#xD;
the aim of generating improved quantitative precipitation estimates (QPEs). These methods are based on interpolating point raingauge measurements (implicitly assumed to be “the truth”) and benefiting from the&#xD;
structure of the rainfall field as depicted by the radar. The use of a non-parametric approach based on radar measurements has been recently demonstrated, showing the benefits in the interpolation of raingauge&#xD;
measurements under the hypotheses of the Kriging approach. Several experiments have been carried out over a large number of cases and a variety of regions, Kriging with an external drift (i.e. the radar description of the rainfall field) being the approach showing more robust and (overall) better performance. Here, the impact of the discrepancies between two almost-collocated radars on the blended QPE fields was investigated.</itunes:summary>
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      <title>Improving risk management for flash floods and debris flow events</title>
      <link>http://hdl.handle.net/2117/15903</link>
      <description>Title: Improving risk management for flash floods and debris flow events
Authors: Uijlenhoet, Remko; Sempere Torres, Daniel; Velasco Montes, David; Berenguer Ferrer, Marc; Bateman Pinzón, Allen; Germann, Urs; Thielen, Jutta; Beven, K.; Zappa, Massimiliano; Demarchi, M.; Bertoli, M.; Gaechter, M.; Velasco, E.; Wittwer, C.; Sánchez-Diezma Guijarro, Rafael; Vilaclara, E.; Pegram, Geoffrey; Papa, M.; Escaler, I.; Lombardi, G.; Santiago, A.; Zawadzki, Isztar</description>
      <pubDate>Mon, 21 May 2012 15:36:58 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/15903</guid>
      <dc:date>2012-05-21T15:36:58Z</dc:date>
      <itunes:author>Uijlenhoet, Remko; Sempere Torres, Daniel; Velasco Montes, David; Berenguer Ferrer, Marc; Bateman Pinzón, Allen; Germann, Urs; Thielen, Jutta; Beven, K.; Zappa, Massimiliano; Demarchi, M.; Bertoli, M.; Gaechter, M.; Velasco, E.; Wittwer, C.; Sánchez-Diezma Guijarro, Rafael; Vilaclara, E.; Pegram, Geoffrey; Papa, M.; Escaler, I.; Lombardi, G.; Santiago, A.; Zawadzki, Isztar</itunes:author>
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