Due to the chaotic nature of the atmosphere, and inevitable errors in observations and prediction models, weather forecasts always contain uncertainties. No forecast is therefore complete without a description of the uncertainty, which is often expressed in terms of forecast probability. MAP´s interest in ensemble forecasting includes how to optimally design the ensemble to effectively sample the errors in the numerical forecasts, how to generate, calibrate and evaluate the probabilistic forecasts.