An ensemble Kalman filter was used to create preemptive forecasts by combining error statistics of model forecasts and adapting observations. These preemptive forecasts were more accurate than original 48-hour forecasts but slightly less accurate than new 24-hour forecasts. The accuracy improved when localized error statistics were used and a model error term was included.