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Status: Unchecked ×Keyword: sea ice forecasting ×Clear all

1 claim from 1 paper

1. Earth and Planetary Sciences › Arctic and Antarctic ice dynamics

   Generative Diffusion for Regional Surrogate Models From Sea‐Ice Simulations

   Finn, Durand, Farchi, Bocquet, Rampal and Carrassi · Journal of Advances in Modeling Earth Systems · 2024

   The authors train a generative diffusion model on neXtSIM sea-ice simulations to make 12-hour regional forecasts, and report it outperforms other tested models as an ensemble and nearly matches neXtSIM's scaling properties.

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   1. UncheckedThe diffusion model keeps detail at all spatial scales, avoiding the smoothing seen in deterministic data-driven sea-ice forecast models.“The diffusion model additionally retains information at all scales, resolving smoothing issues of deterministic models.”