A reliable forecast of potential evapotranspiration (ET
0) is key to precise irrigation scheduling toward reducing water and agrochemical use while optimizing crop yield. In this study, we examine the benefits of using the weather research and forecasting (WRF) model for ET0 and precipitation forecasts with simulations at a 3-km grid spatial resolution and an hourly temporal resolution output over Israel. The simulated parameters needed to calculate ET
0 using the Penman–Monteith (PM) approach, as well as calculated ET
0and precipitation, were compared to observations from a network of meteorological stations. WRF forecasts of all PM meteorological parameters, except wind speed (W
s), were significantly sensitive to seasonality and synoptic conditions, whereas forecasts of W
s consistently showed high bias associated with strong local effects, leading to high bias in the evaluated PM–ET
0. Local W
s bias correction using observations on days preceding forecast and interpolation of the resulting PM–ET
0 to other locations led to significant improvement in ET
0 forecasts over the investigated area. By using this hybrid forecast approach (WRF
BC) that combines WRF numerical simulations with statistical bias corrections, daily ET
0 forecast bias was reduced from an annual mean of 13% with WRF to 3% with WRF
BC, while maintaining a high model–observation correlation. WRF was successful in predicting precipitation events on a daily event basis for all four forecast lead days. Considering the benefit of the hybrid approach for forecasting ET
0, the WRF model was found to be a high-potential tool for improving crop irrigation management.