Published March 29, 2023 | Version v1
Journal article Open

The Southern Ocean supergyre: a unifying dynamical framework identified by machine learning

  • 1. Princeton University
  • 2. Alfred-Wegener-Institut Helmholtz-Zentrum for Polar and Marine Research
  • 3. Institut Pierre-Simon Laplace, IRD

Description

Data for "Sonnewald, M., Reeve, K., and Lguensat, R., The Southern Ocean supergyre: a unifying dynamical framework identified by machine learning. In press, Commun Earth Environ."

Included: Barotropic vorticity terms, labels arrived at in Sonnewald et al., 2019, additional fields for plotting for the readers convenience.

Additional data for the ECCOv4 model can be found here including velocities.

 

 

Sonnewald, M., Wunsch, C. and Heimbach, P. Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions, 2019, Journal of Earth and Space Science.

 

 

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Additional details

References

  • Sonnewald et al., 2023, The Southern Ocean supergyre: a unifying dynamical framework identified by machine learning. Available: Researchsquare