Forecasting the eddying ocean with a deep neural network
Abstract Mesoscale eddies with horizontal scales from tens to hundreds of kilometers are ubiquitous in the upper ocean, dominating the ocean variability from daily to weekly time scales. Their turbulent nature causes great scientific challenges and computational burdens in accurately forecasting the...
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| Principais autores: | , , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2025-03-01
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| Series: | Nature Communications |
| Acceso en liña: | https://doi.org/10.1038/s41467-025-57389-2 |
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