Accuracy validation of TRMM precipitation data in Xiang River Basin

The precipitation data predicted by satellite remote sensing technique are widely used, and the accuracy test of precipi 2 tation data is one of the key problems in application. Deviation and correlation analyses are the main methods for the accuracy test of TRMM data, and the accuracy test of different levels of precipitation is lacked. The fuzzy comprehensive evaluation was introduced to perform the accuracy test of different levels of precipitation in the Xiang River Basin. Based on Thiessen polygons method, fuzzy comprehensive evaluation, correlation coefficient method, and scatter points slope method, the accuracy of TRMM 3B42 data at the monthly and daily time scales from 1998 to 2009 was validated using the measured precipitation data at 14 gauge stations. The results showed ( 1) the correlation coefficients of T RMM 3B42 precipitation data reach 0. 93 at monthly time scale and 0. 48 at daily time scale, and the Bias of former data is 84% lower than that of latter data; and ( 2) for different levels of precipitation data, the prediction accuracy of light rain is the best, followed by heavy rain, rainstorm, and moderate rain.

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