Ensemble forecasting is a method used to improve the accuracy and reliability of predictions by combining multiple models or simulations, each with slightly different initial conditions or parameters, to account for uncertainty and variability. This approach is widely used in meteorology, climate science, and other fields where complex systems exhibit chaotic behavior, allowing for better risk assessment and decision-making.