Abstract:Northwest China is one of the most serious drought areas in China, and the study of precipitation in this region is of great scientific significance. The high temporal and spatial resolution of the GPM (Global Precipitation Measurement) satellite precipitation data provides a useful scientific supplement to the in-depth study of the precipitation process in the Northwest China region under sparse and complex terrain conditions. In this paper, the intensive surface observations within Gansu Province in the Qilian Mountains region were utilized to objectively assess the GPM precipitation using TS (Threat Score) scores, consistency indices and CSI (Critical Success Index) etc. The results show that: (1) the GPM data can characterize the main fallout areas of precipitation in different seasons in the Qilianshan region, and at the same time, the data underestimates the amount of weak precipitation areas and overestimates the amount of strong precipitation areas; (2) the observation data show that the Qilianshan region has the highest frequency of forming drizzle, which is 85.95%, and the frequencies of medium rain, heavy rain and heavy rain are less frequent, which are 12.04%, 1.89% and 0.1%, respectively; The GPM data detection results are more consistent with the observations; (3) the GPM data can also well characterize the daily change of precipitation in the Qilian Mountain region, and the data can better capture the characteristics of summer and autumn seasons when precipitation is mainly concentrated in the morning and at night, and the effect is the worst in winter. Overall, the GPM data can detect the precipitation process under the complex terrain of Northwest China with high accuracy