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

• Main Authors: Sonnewald, Maike, Reeve, Krissy A., Lguensat, Redouane
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Zenodo 2023
• Subjects: Oceanography; FOS Earth and related environmental sciences; Southern Ocean; Unsupervised Machine Learning
• Online Access: https://dx.doi.org/10.5281/zenodo.7783325; https://zenodo.org/record/7783325

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. ... : {"references": ["Sonnewald et al., 2023, The Southern Ocean supergyre: a unifying dynamical framework identified by machine learning. Available: Researchsquare"]} ...