An ensemble forecast is a predictive methodology in which multiple simulations of a system, typically using numerical models, are generated by varying initial conditions, model physics, or parameterizations to characterize forecast uncertainty and probabilistic outcomes. As a human activity, it involves the design, execution, and interpretation of these ensembles by experts to assess the range, likelihood, and robustness of possible future states. Practitioners aggregate and statistically analyze ensemble members to derive probabilistic guidance, quantify confidence levels, and support decision-making in applications such as weather prediction, climate projections, hydrology, and other complex dynamical systems.
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