Gauge adjusted global satellite mapping of precipitation (GSMaP_Gauge)

Abstract

Precipitation is one of the most important resources for human activity, and global distribution of precipitation amount and its change are essential data for modeling the water cycle and global energy cycle. Space-borne Passive Microwave Radiometers (PMRs) are working on many satellites. PMR observes emission and scattering from precipitation and provide uniform global data. The Global Satellite Mapping of Precipitation Moving Vector with Kalman-filter (GSMaP_MVK) estimates hourly and 0.1 degree gridded precipitation map from PMRs. Because land is radiometrically warm region, estimation of precipitation over land is difficult. Global precipitation over land, however, is most important for human activity, such as management of water and flood warning. We are developing a gauge adjusted algorithm for GSMaP (GSMaP_Gauge). In this paper, we show performance of the algorithm and some initial evaluation tests. We introduce the GSMaP_Gauge algorithm and show the validation of the algorithm.