Estimating thermohaline structures in the tropical Indian Ocean from surface parameters using an improved CNN model

Accurately estimating the ocean’s subsurface thermohaline structure is essential for advancing our understanding of regional and global ocean dynamics. In this study, we propose a novel neural network model based on Convolutional Block Attention Module-Convolutional Neural Network (CBAM-CNN) to simu...

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Detalhes bibliográficos

Principais autores:	Jifeng Qi, Bowen Xie, Delei Li, Jianwei Chi, Baoshu Yin, Guimin Sun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-04-01
coleção:	Frontiers in Marine Science
Assuntos:	ocean thermohaline structure satellite observations machine learning CNN tropical Indian Ocean
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmars.2023.1181182/full
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