DocumentCode :
1445292
Title :
Applicability of the Iterative Backward Retrieval Method for the GPM Dual-Frequency Precipitation Radar
Author :
Seto, Shinta ; Iguchi, Toshio
Author_Institution :
Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
Volume :
49
Issue :
6
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
1827
Lastpage :
1838
Abstract :
The Dual-frequency Precipitation Radar (DPR) on the core satellite of the Global Precipitation Measurement mission will measure the radar reflectivity factor in the Ku- and Ka-bands. A rain-rate retrieval algorithm that does not require a surface reference was developed (called the MA04 method). However, MA04 cannot give the true solution in some cases of heavy rainfall. MA04 is a simplified version of the iterative backward retrieval method (IBRM), and the IBRM is equivalent to the forward retrieval method with a constraint. The purpose of this study is to clarify the essential conditions under which the IBRM and MA04 can give the true solution (the conditions are referred to as “the applicability” as in the title). For the purpose, DPR measurements are simulated under simplified assumptions. The applicability of the IBRM and MA04 is closely related to the magnitude of internal attenuation. The upper limit of rain rate for which the IBRM can obtain a true solution is 10 to 20 mm · h-1 if the internal attenuation occurs between the top and middle of the target range bin and the vertical resolution is 0.25 km. The upper limit of rain rate for which MA04 can obtain a true solution is dependent on the number of range bins, and it is 24 to 36 mm · h-1 in the case of n = 12. MA04 can apply a wider range of rainfall than the IBRM because MA04 tends to select the solution with the smallest attenuation among possible solutions.
Keywords :
atmospheric techniques; rain; remote sensing by radar; GPM dual-frequency precipitation radar; Global Precipitation Measurement mission; Ka band; Ku band; forward retrieval method; internal attenuation; iterative backward retrieval method; radar reflectivity factor; rain-rate retrieval algorithm; vertical resolution; Attenuation; Land surface; Pixel; Radar measurements; Rain; Spaceborne radar; Attenuation; radar; rain;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2010.2102766
Filename :
5710414
Link To Document :
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