Spherical multigrid neural operator for improving autoregressive global weather forecasting
Abstract Data-driven approaches for global weather forecasting have shown great potential. However, conventional architectures of these models struggle with spherical distortions, leading to unstable autoregressive forecasts. Although methods such as spherical Fourier neural operator (SFNO) based on...
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| Hoofdauteurs: | , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
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Nature Portfolio
2025-04-01
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| Reeks: | Scientific Reports |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1038/s41598-025-96208-y |
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