Ensemble models consist of multiple forecasts, including a control forecast and others with altered initial conditions and model physics. By analysing the spread of results across the ensemble, meteorologists can gauge the uncertainty in predictions. This probabilistic approach is particularly useful for anticipating extreme weather events.