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Keyword: generative diffusion models ×Clear all

2 claims from 2 papers

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   Precipitation nowcasting with generative diffusion models

   Asperti, Merizzi, Paparella, Pedrazzi, Angelinelli and Colamonaco · Applied Intelligence · 2024

   The paper tests diffusion models for short-term rainfall prediction on ERA-5 data for Central Europe and proposes Generative Ensemble Diffusion, which it compares with U-Net and other deep learning models.

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   1. UncheckedThe authors' Generative Ensemble Diffusion method scored substantially better overall than recent deep learning models in precipitation nowcasting on ERA-5 data.“This approach, in comparison to recent deep learning models, substantially outperformed them in terms of overall performance.”

2. 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.”