Deep Learning Improves Global Satellite Observations of Ocean Eddy Dynamics

Animation Caption: Sea Surface Height Anomaly (SSHA) from -30 cm (blue) to 30 cm (red) over the global ocean, arrows on top represent the ocean currents. The circular shapes of those anomalies are mesoscale eddies. The panels present a side-by-side comparison between the NeurOST method and the conventional method widely used. First, the SSHA, then the derived ocean current speed and finally the vorticity are shown to illustrate NeurOST’s capability to retrieve fine details of the ocean eddies.