Abstarct: Precipitation is a critical variable to monitor and predict meteorological drought. Rainfall is one of complex and vital elements of the atmosphere which plays an important role in feeding of seas, rivers, and groundwater. Therefore, accurate estimation of rainfall is important in the prediction of heavy rainfall hazards, the estimation of groundwater recharge, and water supply to maintain environmental conditions. Awareness of the spatial and temporal distribution of precipitation around the world is useful to improve climate awareness and modify climate forecasting models. Determining rainfall distribution, on the other hand, is a complex task due to the lack of a single estimator with sufficient coverage and accuracy. In this study, the product performance of MSWEP satellites and GPM-IMERG, TRMM-3B43-V7, and PERSIANN-CDR satellites in estimating rainfall and the impact of climatic zones on their performance were evaluated on a monthly scale. For this purpose, measured rainfall data were used in 81 synoptic stations located throughout Iran in the period from 2008 to 2019. In order to examine the efficiency of four products more precisely, the values of statistical indices of correlation coefficient (CC), root mean square error (RMSE), mean error (MAE), normalization of squares relative error (NRMSE), efficiency coefficient (EF) and relative deviation (Bias) The detection probability (POD), error warning ratio (FAR), in the position of all synoptic stations relative to the observational data was calculated and the performance of these satellites in comparison with ground data has been investigated. On average, the MSWEP product was superior to other products in all statistical indicators. Most stations were in the RMSE error range of 10 to 20 mm per month. TRMM came in second in terms of error rates. MSWEP, IMERG, and TRMM products had the highest number of stations in the correlation range of 0.9 to 1. While the highest number of stations in PERSIANN-CDR products had a correlation between 0.8 and 0.9. All satellite products had a very high power in detecting monthly rainfall events. Except for temperate and humid areas, all four crops estimated rainfall in the rest of the regions above the actual value which was higher than the rest of the regions in desert and semi-desert areas. MSMEP performed best in warm and humid regions and TRMM in arid, semi-arid, and cold regions.