Abstract: To discuss the feasibility of utilizing the radial basis function-artificial neural network (RBF-ANN) model and to predict daily reference evaportranspiration,five different kinds of model inputting factors'composition are made and their correlative influences on the model's forecasting precision are studied.A case of applying the model shows that the precision of forecasting by using the RBF-ANN model is high.