Today, for various reasons, oceans and seas affect human life. One of the important components of water conditions is waves, which affect all coastal and marine activities, It causes the first factor to be identified in the affecting the marine environment and coastal areas, including the patterns of waves. The low cost of mathematical modeling has made it the preferred method for studying marine phenomena, but achieving better results depends on continuous optimization of models and their input data. Following the importance of this issue in this research, after exploring various sensitivity analyzes, wind-induced waves in the Caspian Sea were studied using ERA-Interim wind data and also the new generation ERA5 from ECMWF database with SWAN model for similar comparison. In quantitative and qualitative studies, ERA5 wind data performed better than ERA-Interim with a reasonable difference.