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Proceedings Paper

Rainfall by SSM/I data in Huai River Basin area
Author(s): Wanbiao Li; Feng Gao; Yuanjing Zhu; Bolin Zhao
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Paper Abstract

Rain area discrimination and rain-rate estimation are two key problems of the rain retrieval by the satellite data. First, five categories of the earth surface are divided by the cluster analysis method, i.e. convective rain, stratus rain, wet soil, dry soil and ocean. The rain area then ca be discriminated by the special sensor microwave/imager (SSM/I) data. Secondly, a mixed scattering index is defined on the basis of the conceptions of the polarization-corrected temperature and the scattering index, which are functionally related with the rain-rate. A nonlinear mixing scattering- based algorithm to retrieval rain-rate with an accuracy less than 4mm/hr is presented by integrating the linear and nonlinear relationships between the scattering index and the rain-rate. Finally, rain in Huai River Basin area of China in the Meiyu season of 1991 is studied using SSM/I data. The results show that the classification and rain-rate algorithm can give reasonably good estimates of the rain area and the rain-rate.

Paper Details

Date Published: 19 August 1998
PDF: 9 pages
Proc. SPIE 3503, Microwave Remote Sensing of the Atmosphere and Environment, (19 August 1998); doi: 10.1117/12.319462
Show Author Affiliations
Wanbiao Li, Peking Univ. (China)
Feng Gao, Peking Univ. (China)
Yuanjing Zhu, Peking Univ. (China)
Bolin Zhao, Peking Univ. (China)

Published in SPIE Proceedings Vol. 3503:
Microwave Remote Sensing of the Atmosphere and Environment
Tadahiro Hayasaka; Dong Liang Wu; Yaqiu Jin; JingShang Jiang, Editor(s)

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