عنوان مقاله [English]
Interpolation is one of the most important techniques that climate experts using it for spatial studying. Interpolation methods are classified based on various criteria. The aim of the present study is assess the accuracy of different interpolation methods to estimate regional pressure and also compare the results with height gradient method in under investigation region. In this study pressure of 13 stations has been used. The data survey by 10 methods using GIS software. The comparison has been done based on root mean square error (RMSE). Result showed that the correlation and RBF methods have lowest and LPI and GPI methods have highest error in compare with other methods.