Samudra: An AI Global Ocean Emulator for Climate
Abstract AI emulators for forecasting have emerged as powerful tools that can outperform conventional numerical predictions. The next frontier is to build emulators for long climate simulations with skill across a range of spatiotemporal scales, a particularly important goal for the ocean. Our work...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Wiley
2025-05-01
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| Series: | Geophysical Research Letters |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1029/2024GL114318 |
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