Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach

Pan evaporation (), sunshine hours (SH), relative humidity (RH), wind speed (WS), and predictions were more confident after applying CBMA. In conclusion, we highly recommend applying the ensemble CBMA model to improve -SH was suggested to be used for robust predicting daily in the regions of hot desert, cold desert, and cold semi-arid and -RH in the humid subtropical area regarding the convenience of data acquisition.