In the Lorenz '96 system, stochastic parameterizations with temporal persistence improve early ensemble spread growth and spread-error consistency without increasing long-term variance.
Stochastic Representations of Model Uncertainties at ECMWF: State of the Art and Future Vision
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A conditional diffusion model downscales global atmospheric forecasts from 100 km to 30 km resolution while improving probabilistic skill, matching power spectra, and preserving physical relationships.
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Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models
A conditional diffusion model downscales global atmospheric forecasts from 100 km to 30 km resolution while improving probabilistic skill, matching power spectra, and preserving physical relationships.