Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence
Eddy heat fluxes crucially affect large-scale oceanic currents but are challenging to monitor on a global scale. Here the authors develop a Deep Learning model to predict the eddy heat fluxes from sea surface height data only, bypassing the need for simultaneous observations of the deep ocean.
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c7651d6337f64a0bb9c40bf8010fa9bc |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|