22 July 2020
A joint team of researchers from the State Key Laboratory of Satellite Ocean Environment Dynamics, the CAS Key Laboratory of Ocean Circulation and Waves, the Center for Ocean Mega-Science, and the College of Marine Sciences of the Shanghai Ocean University, developed the satellite data-driven deep learning model for forecasting the evolution of sea surface temperature associated with the tropical instability wave. Their study was inspired by available satellite remote sensing data and advancements in deep learning technology. They have explored key marine data and established a deep learning model to conduct oceanic forecasts. The research result was published in the journal Science Advances.
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