Reducing Model Biases With Machine Learning Corrections Derived From Ocean Data Assimilation Increments
Abstract Large ocean data assimilation (DA) increments are concentrated in the mixed layer, indicating persistent biases in vertical mixing. These increments can therefore be used to derive bias corrections. Previous studies developed full‐depth climatological temperature and salinity corrections fr...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
American Geophysical Union (AGU)
2026-05-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1029/2026MS005736 |
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