Utilization of solar radiation (Rs) is widely used in many sciences, especially agriculture and irrigation. one of the estimating solar radiation methods is to use empirical models. In this research, six models of estimate of short wave solar radiation including, the model of Angstrom–Prescott suggested by FAO, the calibrated model of Angstrom–Prescott by Kashifipour and Sepaskhah, the calibrated model of Angstrom–Prescott in this study, Glover & McCuloch model, Hargreaves and Samani method and lee et al method, were investigated to recommend the suitable model for Ahvaz city. The required meteorological data has obtained from Ahvaz Weather Station during 2014-2017. Indicators, root mean squared error (RMSE), mean percentage error (MPE), Correlation Coefficient (CC), Nash–Sutcliffe efficiency (NSCE) were used to evaluate the performance of solar radiation estimations by the above-mentioned six methods. Results of comparing calculated amounts of these models with amounts of measured in meteorological station shows that by using Correlation Coefficient, the models of the calibrated model of Angstrom–Prescott in this study, the model of Angstrom–Prescott suggested by FAO, the calibrated model of Angstrom–Prescott by Kashifipour and Sepaskhah, Glover & McCuloch model and Hargreaves and Samani method (equal 0.975, 0.972, 0.971, 0.971 and 0.901 respectively) have higher correlation with actual amounts. Therefore because of a little Correlation Coefficient and Nash–Sutcliffe efficiency (NSCE) and less amounts of RMSE, MPE indexes between these models, the calibrated model of Angstrom–Prescott in this study and the calibrated model of Angstrom–Prescott by Kashifipour and Sepaskhah, can recommend as the suitable model radiation in this climate.