A good use for AI?
| GOFLOW temperature gradient computed in the Gulf Stream region in the Atlantic Ocean. (Credit: Luc Lenain/Scripps Institution of Oceanography) |
A new study published in the journal Nature Geoscience describes an artificial intelligence-powered technique that can measure ocean surface currents over broad areas in greater detail than ever before. Among the co-authors is Nick Pizzo of the University of Rhode Island Graduate School of Oceanography.
Called GOFLOW (Geostationary Ocean Flow), the approach uses
AI to analyze thermal images from weather satellites already in orbit. Because
it relies on existing satellites, no new hardware is needed, marking what
researchers describe as a major advancement in ocean observation.
| A side-by-side comparison of ocean surface velocity and vorticity fields in the same region, showing GOFLOW (a) alongside AVISO (b). While the AVISO map is built from a 10-day average, the GOFLOW map is built from hourly data, revealing greater detail. (Credit: Luc Lenain/Scripps Institution of Oceanography) |
The study was co-led by Luc Lenain of Scripps Institution of Oceanography at University of California San Diego and Kaushik Srinivasan of University of California, Los Angeles. Co-author Roy Barkan of Tel Aviv University and Pizzo are also alumni of Scripps. The project was supported by grants from the Office of Naval Research, NASA, and the European Research Council.








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