Reference evapotranspiration (ET₀) forecasts play an important role in agricultural, environmental, and water management. This study evaluated probabilistic post-processing approaches for improving daily and weekly ensemble ET₀ forecasting based on single or multiple numerical weather predictions. The three approaches used consistently improved the skill and reliability of the ET₀ forecasts compared with the conventional method, due to the adjustment in the spread of the ensemble forecast.