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| Titel |
Improved radar rainfall estimation at ground level |
| VerfasserIn |
S. M. Wesson, G. G. S. Pegram |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 6, no. 3 ; Nr. 6, no. 3 (2006-05-10), S.323-342 |
| Datensatznummer |
250003497
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| Publikation (Nr.) |
 copernicus.org/nhess-6-323-2006.pdf |
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| Zusammenfassung |
| A technique has been developed to provide an estimate of the rainfall
reaching the earth's surface by extrapolating radar data contained aloft to
ground level, simultaneously estimating unknown data in the radar volume
scan. The technique has been developed so as to be computationally fast, to
work in real time and comprises the following steps. A rainfall
classification algorithm is applied to separate the rainfall into two
separate types: convective and stratiform rainfall. Climatological
semivariograms based on the rainfall type are then defined and justified by
testing, which result in a fast and effective means of determining the
semivariogram parameters anywhere in the radar volume scan. Then,
extrapolations to ground level are computed by utilising 3-D Universal and
Ordinary Cascade Kriging; computational efficiency and stability in Kriging
are ensured by using a nearest neighbours approach and a Singular Value
Decomposition (SVD) matrix rank reduction technique. To validate the
proposed technique, a statistical comparison between the temporally
accumulated radar estimates and the Block Kriged raingauge estimates is
carried out over matching areas, for selected rainfall events, to determine
the quality of the rainfall estimates at ground level. |
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