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...

Descripción completa

Detalles Bibliográficos
Autores principales: George, Tom M., Manucharyan, Georgy E., Thompson, Andrew F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

Ejemplares similares