In the published article, there was an error. A paragraph and Equation 5 are repeated and need to be deleted. Consequently, Equations 6, 7, and 8 should be renumbered to Equations 5, 6 and 7, respectively.
A correction has been made to Methodology, 2.5 Physics-guided information integrating, paragraphs 4 and 5. The following text is repeated and should be deleted:
“It’s noteworthy that the density of seawater is determined by the reciprocal of the pressure derivative of the Gibbs function (g) at constant absolute salinity (SA) and in situ temperature T. Specifically,
where, 0 ≤ SA ≤ 120g/kg, –12°C ≤ T ≤ 80°C, 1Pa ≤ P ≤ 100MPa. Compared to the previous standard EOS-80 (Equation of State of Seawater 1980), the TEOS-10 offers broader applicability”.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
physics-guided machine learning, spatio-temporal data analysis, ocean temperature prediction, ocean salinity prediction, ViT
Citation
Wu S, Bao S, Dong W, Wang S, Zhang X, Shao C, Zhu J and Li X (2025) Corrigendum: PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific. Front. Mar. Sci. 12:1548441. doi: 10.3389/fmars.2025.1548441
Received
19 December 2024
Accepted
07 January 2025
Published
24 January 2025
Volume
12 - 2025
Edited and reviewed by
Hervé Claustre, Centre National de la Recherche Scientifique (CNRS), France
Updates
Copyright
© 2025 Wu, Bao, Dong, Wang, Zhang, Shao, Zhu and Li.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Senliang Bao, baosenliang18@nudt.edu.cn; Wei Dong, wdong@nudt.edu.cn
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.