Temperature Structure Inversion of Mesoscale Eddies in the South China Sea Based on Deep Learning
Jidong Huo,
Jungang Yang,
Liting Geng
et al.
Abstract:Mesoscale eddies are common in global oceans, playing crucial roles in ocean dynamics, ocean circulation, and heat transport, and their vertical structures can affect the water layers from tens to thousands of meters. In this study, we integrated sea surface height and sea surface temperature data into deep learning methods to study the mesoscale eddy subsurface temperature structure and to explore the relationship between sea surface data and eddy subsurface layers. In this study, we introduce Dual_EddyNet, a… Show more
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