Machine-learning mesoscale and submesoscale surface dynamics from lagrangian ocean drifter trajectories
Lagrangian ocean drifters provide highly accurate approximations of ocean surface currents but are sparsely located across the globe. As drifters passively follow ocean currents, there is minimal control on where they will be making measurements, providing limited temporal coverage for a given regio...
Main Authors: | Aksamit, Nikolas O. (Author), Sapsis, Themistoklis Panagiotis (Author), Haller, George (Author) |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor) |
Format: | Article |
Language: | English |
Published: |
American Meteorological Society,
2020-09-04T21:50:41Z.
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Subjects: | |
Online Access: | Get fulltext |
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