Cargando…
Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence
Mesoscale eddies have strong signatures in sea surface height (SSH) anomalies that are measured globally through satellite altimetry. However, monitoring the transport of heat associated with these eddies and its impact on the global ocean circulation remains difficult as it requires simultaneous ob...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865057/ https://www.ncbi.nlm.nih.gov/pubmed/33547299 http://dx.doi.org/10.1038/s41467-020-20779-9 |