19 August 1998 Rainfall by SSM/I data in Huai River Basin area
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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.
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Wanbiao Li, Wanbiao Li, Feng Gao, Feng Gao, Yuanjing Zhu, Yuanjing Zhu, Bolin Zhao, Bolin Zhao, } "Rainfall by SSM/I data in Huai River Basin area", Proc. SPIE 3503, Microwave Remote Sensing of the Atmosphere and Environment, (19 August 1998); doi: 10.1117/12.319462; https://doi.org/10.1117/12.319462
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