
Proceedings Paper
Development of precipitation retrieval algorithm for passive microwave sounder over landFormat | Member Price | Non-Member Price |
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Paper Abstract
Current version of the over-land Global Satellite Mapping of Precipitation (GSMaP) algorithm for microwave sounder
tends to underestimate rain areas because of missing warm rain due to scattering-based algorithm only applied over land.
Therefore we develop a new rain/no-rain classification (RNC) method using channels such as 89, 150, 186 and 190 GHz
to detect the warm rain. In order to estimate the performance of the revised RNC method, the AMSU-PR matched-up
cases are used. The result shows that the shallow precipitation over land, which is missed by the original RNC method, is
detected by the revised RNC method.
Paper Details
Date Published: 8 November 2012
PDF: 7 pages
Proc. SPIE 8523, Remote Sensing of the Atmosphere, Clouds, and Precipitation IV, 852309 (8 November 2012); doi: 10.1117/12.977278
Published in SPIE Proceedings Vol. 8523:
Remote Sensing of the Atmosphere, Clouds, and Precipitation IV
Tadahiro Hayasaka; Kenji Nakamura; Eastwood Im, Editor(s)
PDF: 7 pages
Proc. SPIE 8523, Remote Sensing of the Atmosphere, Clouds, and Precipitation IV, 852309 (8 November 2012); doi: 10.1117/12.977278
Show Author Affiliations
Published in SPIE Proceedings Vol. 8523:
Remote Sensing of the Atmosphere, Clouds, and Precipitation IV
Tadahiro Hayasaka; Kenji Nakamura; Eastwood Im, Editor(s)
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