Articles | Volume 18, issue 8
https://doi.org/10.5194/essd-18-5855-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-5855-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A global high-resolution temperature and salinity reconstruction by spatiotemporal multiscale correlations and dynamic height constraints
Haowen Wu
Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin, China
Wei Li
CORRESPONDING AUTHOR
Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin, China
Hong Li
CORRESPONDING AUTHOR
Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin, China
Guijun Han
Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin, China
Gongfu Zhou
Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin, China
Hanyu Liu
Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin, China
Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin, China
Qingyu Zheng
Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin, China
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Short summary
Temperature and salinity (T&S) are fundamental in physical oceanography. Objective analysis can generate highly reliable gridded T&S datasets. However, most existing representative products have relatively coarse resolution. This study develops a global 1/4° high-resolution product by integrating spatiotemporal correlations and physical constraints. Results show that the dataset achieves excellent overall accuracy and unbiased performance, while effectively capturing abundant mesoscale features.
Temperature and salinity (T&S) are fundamental in physical oceanography. Objective analysis can...
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