The accuracy of CMPA remote sensing precipitation data in China from 2001 to 2010 is evaluated by using the ground rainfall observation data as the reference data, compared with CMORPH1.0 (CPC MORPHing technique gauge-satellite) and TRMM3b43V7(Tropical Rainfall Measuring Mission 3B43), and combined with elevation, slope, aspect, correction factor to analyze the impact of topographic factors on data quality and to explore the accuracy of the data in different terrains. The result shows that:CMPA remote sensing precipitation data can reflect the distribution of precipitation in China on the year and month scale, with a high correlation with ground rainfall observation data and a stable fluctuation, which performs better than CMORPH and TRMM. Time series curve shows the accuracy of CMPA fluctuates in the period of year, RMSE in summer is higher than in winter, R, BIAS, MRE in winter is higher than in summer. Terrain performance analysis shows that the influence of elevation and slope on data quality is greater than that of aspect and correction factor. In complex terrain, the accuracy of CMPA slightly decreases is high altitude and high slope areas, but the performance of reflecting the distribution of precipitation is still stronger than that of CMORPH and TRMM.