Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions
©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...
Main Authors: | Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick |
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Other Authors: | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences |
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2022
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Online Access: | https://hdl.handle.net/1721.1/141225.2 |
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