Subsurface Temperature Reconstruction for the Global Ocean from 1993 to 2020 Using Satellite Observations and Deep Learning

The reconstruction of the ocean’s 3D thermal structure is essential to the study of ocean interior processes and global climate change. Satellite remote sensing technology can collect large-scale, high-resolution ocean observation data, but only at the surface layer. Based on empirical statistical a...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Hua Su, Jinwen Jiang, An Wang, Wei Zhuang, Xiao-Hai Yan
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Subjects:	subsurface temperature remote sensing data deep learning ocean warming DORS dataset
Online Access:	https://www.mdpi.com/2072-4292/14/13/3198