Perturbation growth in the IFS and FuXi models
It is crucial to understand a model’s error growth dynamic before generating appropriate perturbations for it46. This holds particular significance for AI weather models, which are derived from data…
A fast physics-based perturbation generator of machine learning weather model for efficient ensemble forecasts of tropical cyclone track
