Swift: an autoregressive consistency model for efficient weather forecasting
Diffusion models offer a physically grounded framework for probabilistic weather forecasting, but their typical reliance on slow, iterative solvers makes inference expensive, especially for forecasting at long-lead times with a high temporal resolution. To address this, we introduce , a single-step...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2026-01-01
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| coleção: | Machine Learning. Earth |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/3049-4753/ae802a |
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