Improving the performance of daily pan evaporation (Evp) prediction using the ensemble empirical mode decomposition combined with deep learning models
This study presents a novel approach for the prediction of daily pan evaporation (Evp) based on identifying an optimal combination of model inputs. The Kardeh Dam catchment area in northeastern Iran, where significant evaporation occurs, was investigated in this study. Initially, an appropriate combination of inputs was identified through the gamma test and genetic algorithm (GTGA). Using the ense
