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| Titel |
Assignment of rainfall confidence values using multispectral satellite data at mid-latitudes: first results |
| VerfasserIn |
T. Nauss, A. A. Kokhanovsky |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Observation, Prediction and Verification of Precipitation (EGU Session 2006) ; Nr. 10 (2007-04-26), S.99-102 |
| Datensatznummer |
250007859
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| Publikation (Nr.) |
 copernicus.org/adgeo-10-99-2007.pdf |
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| Zusammenfassung |
| The authors propose a new method for the assignment of rainfall confidences
on a pixel basis using cloud properties derived from optical satellite data
during daytime. This approach is based on the concept model that the
probability for precipitation is a function of the liquid water path, which
in turn can be computed using the satellite-retrieved cloud optical thickness
and the cloud effective droplet radius. In order to evaluate the principal
potential of this idea, scenes from the Terra-MODIS sensor during the severe
European summer floods in 2002 have been analysed in order to derive a
corresponding regression function that interlinks the liquid water path with
the rainfall probability or better with the confidence that a pixel which is
classified as raining does actually rain. A first evaluation against
ground-based radar data during March 2004 shows good skill of this new
method. |
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