Articles | Volume 18, issue 8
https://doi.org/10.5194/essd-18-5855-2026
https://doi.org/10.5194/essd-18-5855-2026
Data review article
 | 
13 Aug 2026
Data review article |  | 13 Aug 2026

A global high-resolution temperature and salinity reconstruction by spatiotemporal multiscale correlations and dynamic height constraints

Haowen Wu, Wei Li, Hong Li, Guijun Han, Gongfu Zhou, Hanyu Liu, Lige Cao, and Qingyu Zheng

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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.
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