DocumentCode :
2052842
Title :
A data processing to reduce the errors of rainfall rate measured with spaceborne radar
Author :
Ohsaki, Yuji ; Nakamura, Kenji
Author_Institution :
Commun. Res. Lab., Okinawa Radio Obs., Japan
fYear :
1993
fDate :
18-21 Aug 1993
Firstpage :
1018
Abstract :
Spaceborne rain radars may be operated with a fairly low S/N (signal to noise ratio) condition, because of several hardware limitations and the large distance between radar and target. The rain radar does not directly measure the rain echo power, instead, it measures the total received power which is the sum of the rain echo power and the receiver noise power. The rain echo power is obtained by taking the difference between the total received power and the receiver noise power. The experimentally obtained rain echo power is sometimes estimated to be the negative value on the low S/N condition. The rainfall rate can not be directly estimated from this negative data. Three data processings, which are the truncation, the zero rain and the negative rain method, are applied to the rainfall rate estimation from the negative data. The zero rain method is effective for reducing the errors of the rainfall rate and its statistic
Keywords :
atmospheric techniques; rain; remote sensing; remote sensing by radar; atmosphere radar remote sensing; data processing; error reduction; estimation; measurement technique; meteorology; negative rain method; rain; rain echo power; rainfall rate; satellite; signal to noise ratio; truncation; zero rain; Data processing; Laboratories; Petroleum; Radar measurements; Rain; Sampling methods; Signal to noise ratio; Spaceborne radar; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
Type :
conf
DOI :
10.1109/IGARSS.1993.322157
Filename :
322157
Link To Document :
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