Research/
Neural Networks Decipher Complex Oceanic Fluid Dynamics
Researchers have developed a machine learning framework to model submesoscale ocean currents using satellite sea-surface height data. This approach overcomes the limitations of traditional sparse sensor arrays, providing high-resolution insights into heat and carbon transport.