Abstract
This study examines the con-elation between observed meteorological data and ERA5 reanalysis data in the Akhangaran River Basin. The evaluation is conducted using five statistical metrics across three key categories: Error Magnitude (RMSE, MAE), Systematic Bias (PB1AS), and Performance or linear correlation (NSE, R2). Monthly data between 1970-2024 from six meteorological stations are compared with corresponding monthly ERA 5 datasets to assess the reliability of reanalysis data in representing local meteorological conditions. Additionally, line graphs are used to visualize temporal variations and discrepancies though different years. By integrating both statistical and visual analyses, this study provides a comprehensive assessment of ERA5 reanalysis data applicability for hydrometeorological research in Akhangaran River Basin.
