Climate Research

Researchers led by UC San Diego's Scripps Institution of Oceanography have developed GOFLOW, a deep learning technique that converts thermal images from geostationary weather satellites into high-resolution maps of ocean surface currents. It reveals fast-changing, sub-10-kilometer features vital for climate, heat/carbon uptake, and marine ecosystems, with results published in Nature Geoscience (DOI: 10.1038/s41561-026-01943-0).