Abstract
One of the most important elements for human life is rainfall in arid and semi-arid countries like Iran. In order to analyze various hydrological phenomena and climate changes, it is essential to obtain accurate information on precipitation. Compared to ground data, satellite data and reanalysis can provide a better quantity of rainfall distribution on the planet, especially in areas where there is a lack of rain gauge stations, because in the number of Considerably, there is no dense network of rain gauge stations in the regions of the country. In order to show to what extent the information obtained from CFSR reanalysis data and GPM and TRMM satellites are consistent with the ground data, the rainfall from April 3rd to July 3rd 2014 in Aras watershed should be considered. be taken. In this research, validation statistical criteria (BIAS and RMSE) and probabilistic criteria (CSI, FAR, and POD) have been compared. The results after the examination in different spatial and temporal scales indicate that the GPM data generally has priority over other processed data, this data can be discussed and reviewed in the upcoming projects.