Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models
Stochastically perturbed weights (SPW) is at present a tuning procedure rather than a plug-and-play recipe, and its main failure mode is a coherent whole-field offset that overdisperses the domain mean, and restricting the noise to coarse scales or perturbing the initial conditions each repair part of it.
Simon Adamov, O. Fuhrer, R. Knutti et al.
· 0 citations