Estimating Ocean Surface Currents With Machine Learning
Global surface currents are usually inferred from directly observed quantities like sea-surface height, wind stress by applying diagnostic balance relations (like geostrophy and Ekman flow), which provide a good approximation of the dynamics of slow, large-scale currents at large scales and low Ross...
Main Authors: | Anirban Sinha, Ryan Abernathey |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-06-01
|
Series: | Frontiers in Marine Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2021.672477/full |
Similar Items
-
Progress of Studies on Circulation Dynamics in the East China Sea: The Kuroshio Exchanges With the Shelf Currents
by: Zhiqiang Liu, et al.
Published: (2021-02-01) -
Examining the Accuracy of GlobCurrent Upper Ocean Velocity Data Products on the Northwestern Atlantic Shelf
by: Hui Feng, et al.
Published: (2018-08-01) -
Variation of Antarctic circumpolar current and its intensification in relation to the southern annular mode detected in the time-variable gravity signals by GRACE satellite
by: Jen-Ru Liau, et al.
Published: (2017-07-01) -
The Use of Semigeostrophic Theory to Diagnose the Behaviour of an Atmospheric GCM
by: Mike Cullen
Published: (2018-10-01) -
The buoyancy staircase limit in surface quasigeostrophic turbulence
by: Yassin, H.
Published: (2023)