In order to comprehensively evaluate the applicability of TRMM, GPM remote sensing precipitation products and MERRA-2 reanalysis precipitation products in the Haihe River Basin, based on the daily measured precipitation data of 57 meteorological stations in the Haihe River Basin from March 2014 to February 2018, the correlation coefficient R, root mean square error RMSE, mean absolute error MAE, relative error RE and other evaluation indicators are selected to analyze the annual, quarterly and monthly Observation accuracy. The main finding of this study are as follows. The results show that the correlation between GPM data and site measured data is the best on the annual, seasonal, and monthly time scales, and the correlation between TRMM is the weakest. Under the three time scales, MERRA-2 reanalysis data has the highest data accuracy in the Haihe River Basin, followed by GPM, and the TRMM data error is the most obvious. TRMM and GPM have some overestimation in annual and quarterly precipitation. TRMM shows that overestimation of precipitation is more obvious, but the relative error of summer GPM data is slightly higher than TRMM data. In general, the three precipitation products have good applicability in the Haihe River Basin, but the applicability of MERRA-2 and GPM in the Haihe River Basin is better than TRMM. GPM is significantly stronger than TRMM in weak precipitation observation ability, but the ability to monitor heavy precipitation still needs to be improved.