Abstract: In order to evaluate applicability of two major satellite precipitation products, the IMERG and GSMaP of GPM,over Mainland China, six evaluation indicators and error decomposition are used to systematically analyze the error characteristics of these products arcoss multiple scales, benchmarked by a set of ground-based dataset from China Meterological Administration(CMA).The results show that:(1) The statistical indicators of IMERG series products are generally better.Although IMERGFinal improves IMERGLate's underestimation of precipitation in some areas, it expands the scope of overestimated precipitation, and the correction algorithm does not significantly improve the holistic accuracy(CC,RMSE).Both of the GSMaP series products overestimate the ground precipitation.Compared to pure satellite products of GSMaPMVK,the statistical indicators of GSMaPGauge(CC,RMSE,BIAS) are greatly improved.(2) By synthesizing the three classified statistical indices, IMERG series products exhibit better potentials in detecting precipitation events.Although GSMaPGauge shows a higher hit rate of precipitation, it has more false alarm ratios of precipitation.Each product shows a higher hit rate and a lower false alarm rate in the area of heavy precipitation, indicating that the precipitation product has better detection ability for heavy precipitation.(3)The error components of IMERG and GSMaP mainly come from the false alarm error, and it has obvious seasonal difference.The spring and winter show a larger total error and false alarm error, indicating that the satellite products have higher accuracy in detecting warm season precipitation.In general, both IMERG and GSMaP estimates perform better in the humid area than other areas, the gauge-calibrated products obviously outperform the uncalibrated pure satellite datasets.Each of them can accurately reflect the precipitation in mainland China.