Representative Direct Ensemble Uncertainty Visualizations: Conveying Uncertainty Using A Small Portion of The Data
Contributed by Le Liu, PhD., School of Computer Science Northwestern Polytechnical University. As we know, ensemble approaches are widely adopted to estimate forecasts uncertainty. In atmospheric sciences, these approaches are specifically categorized into two types: multi-model ensembles and perturbed parameter ensembles. The former runs multiple numerical prediction models with the same initial parameters to estimate the atmospheric evolution, while the latter runs a single model multiple times with slightly perturbed initial conditions. They are usually combined to form the final forecast….