Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions

Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions

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©2019. The Authors. Dynamically similar regions of the global ocean are identified using a barotropic vorticity (BV) framework from a 20-year mean of the Estimating the Circulation and Climate of the Ocean state estimate at 1° resolution. An unsupervised machine learning algorithm, K-means, objectiv...

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Bibliographic Details
Main Authors: Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022
Online Access:https://hdl.handle.net/1721.1/141225.2
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