Estimation of precipitation based on remote sensing technique in Alborz, Qazvin, Zanjan, Kurdistan and Hamedan provinces

Determination of precipitation in energy balance calculations are vital for hydrological studies and meteorology. Due to the importance of precipitation data in different sciences and the absence of a wide and appropriate rainwater meter, precipitation data needs to be estimated in some way. One of the ways to estimate precipitation is the use of satellite data In this study, GLDAS, CRU, GPCP, TRMM, CMAP and NCEP-NCAR models are evaluated with station data in Alborz, Qazvin, Zanjan, Kurdistan and Hamedan provinces. The results showed that GPCP, TRMM, CMAP and NCEPNCAR had good outcomes in these regions, among which GPCP and TRMM provided better results.In the evaluation of GPCP with mean stations in the study area in pixel 3 in 2003, the explanatory factor (R2), EF coefficients, average error margin (MBE), absolute error of error (MAE) and root mean square error (RMSE) were 0.96, 0.94, 3.13, 5.30, and 6.58, respectively. In addition, precipitation data model of GLDAS is evaluated with station data. Results show that GLDAS model is not very accurate in areas with high precipitation such as Rasht and Noshahr stations.