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| Titel |
A novel algorithm for detection of precipitation in tropical regions using PMW radiometers |
| VerfasserIn |
D. Casella, G. Panegrossi, P. Sanò, L. Milani, M. Petracca, S. Dietrich |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 3 ; Nr. 8, no. 3 (2015-03-12), S.1217-1232 |
| Datensatznummer |
250116212
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| Publikation (Nr.) |
 copernicus.org/amt-8-1217-2015.pdf |
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| Zusammenfassung |
A novel algorithm for the detection of precipitation is described and tested.
The algorithm is applicable to any modern passive microwave radiometer on
board polar orbiting satellites independent of the observation geometry and
channel frequency assortment. The algorithm is based on the application of
canonical correlation analysis and on the definition of a threshold to be
applied to the resulting linear combination of the brightness temperatures in
all available channels. The algorithm has been developed using a 2-year data
set of co-located Special Sensor Microwave Imager/Sounder (SSMIS) and
Tropical Rainfall Measuring Mission precipitation radar (TRMM-PR)
measurements and Advanced Microwave Sounding Unit (AMSU) Microwave Humidity
Sounder and TRMM-PR measurements. This data set was partitioned into
four classes depending on the background surface emissivity (vegetated land,
arid land, ocean, and coast) with the same procedure applied for each surface
class. In this paper we describe the procedure and evaluate the results in
comparison with many well-known algorithms for the detection of
precipitation.
The algorithm shows a small rate of false alarms and superior detection
capability; it can efficiently detect (probability of detection between 0.55
and 0.71) minimum rain rate varying from 0.14 mm h-1 (AMSU over
ocean) to 0.41 (SSMIS over coast) with the remarkable result of
0.25 mm h-1 over arid land surfaces. |
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