Ensemble forecasting is a method used in meteorology to improve the accuracy of weather predictions. It involves running multiple simulations of a weather model, each with slightly different initial conditions or parameters. By analyzing the range of outcomes from these simulations, forecasters can better understand the uncertainty in their predictions. This approach helps to provide a more comprehensive view of possible weather scenarios, rather than relying on a single forecast. Ensemble forecasting is particularly useful for predicting extreme weather events, as it allows meteorologists to assess the likelihood of various outcomes and communicate risks more effectively to the public.