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| Titel |
PM-GCD – a combined IR–MW satellite technique for frequent retrieval of heavy precipitation |
| VerfasserIn |
D. Casella, S. Dietrich, F. Paola, M. Formenton, A. Mugnai, F. Porcú, P. Sanò |
| 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 ; 12, no. 1 ; Nr. 12, no. 1 (2012-01-31), S.231-240 |
| Datensatznummer |
250010419
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| Publikation (Nr.) |
 copernicus.org/nhess-12-231-2012.pdf |
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| Zusammenfassung |
| Precipitation retrievals based on measurements from microwave (MW)
radiometers onboard low-Earth-orbit (LEO) satellites can reach high level
of accuracy – especially regarding convective precipitation. At the present
stage though, these observations cannot provide satisfactory coverage of
the evolution of intense and rapid precipitating systems. As a result, the
obtained precipitation retrievals are often of limited use for many
important applications – especially in supporting authorities for flood
alerts and weather warnings. To tackle this problem, over the past two
decades several techniques have been developed combining accurate MW
estimates with frequent infrared (IR) observations from geosynchronous (GEO)
satellites, such as the European Meteosat Second Generation (MSG). In this
framework, we have developed a new fast and simple precipitation retrieval
technique which we call Passive Microwave – Global Convective Diagnostic,
(PM-GCD). This method uses MW retrievals in conjunction with the Global Convective
Diagnostic (GCD) technique which discriminates deep convective clouds based
on the difference between the MSG water vapor (6.2 μm) and thermal-IR
(10.8 μm) channels. Specifically, MSG observations and the GCD
technique are used to identify deep convective areas. These areas are then
calibrated using MW precipitation estimates based on observations from the
Advanced Microwave Sounding Unit (AMSU) radiometers onboard operational NOAA
and Eumetsat satellites, and then finally propagated in time with a simple
tracking algorithm. In this paper, we describe the PM-GCD technique,
analyzing its results for a case study that refers to a flood event that
struck the island of Sicily in southern Italy on 1–2 October 2009. |
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