PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific

PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific

Accurately predicting the spatio-temporal evolution trends and long-term dynamics of three-dimensional ocean temperature and salinity plays a crucial role in monitoring climate system changes and conducting fundamental oceanographic research. Numerical models are the most prevalent of the traditiona...

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Bibliographic Details
Main Authors: Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Marine Science
Subjects:
physics-guided machine learning
spatio-temporal data analysis
ocean temperature prediction
ocean salinity prediction
ViT
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2024.1477710/full
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https://www.frontiersin.org/articles/10.3389/fmars.2024.1477710/full

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