Incorporating heat budget dynamics in a Transformer-based deep learning model for skillful ENSO prediction
Abstract While deep learning models have shown promising capabilities in ENSO prediction, their inherent black-box nature often leads to a lack of physical consistency and interpretability. Here, we introduce ENSO-PhyNet, a Transformer-based model for ENSO prediction, which incorporates heat budget...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2024-09-01
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| coleção: | npj Climate and Atmospheric Science |
| Acesso em linha: | https://doi.org/10.1038/s41612-024-00741-y |
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