A high-resolution temperature–salinity dataset  observed by autonomous underwater vehicles for  the evolution of mesoscale eddies and associated submesoscale processes in the South China Sea

Qiu, Chunhua; Du, Zhenyang; Tang, Haibo; Yi, Zhenhui; Qiao, Jiawei; Wang, Dongxiao; Zhai, Xiaoming; Wang, Wenbo

doi:https://doi.org/10.5194/essd-17-3189-2025

Articles | Volume 17, issue 7

https://doi.org/10.5194/essd-17-3189-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-3189-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 7

Data description paper

|

03 Jul 2025

Data description paper |

| 03 Jul 2025

A high-resolution temperature–salinity dataset observed by autonomous underwater vehicles for the evolution of mesoscale eddies and associated submesoscale processes in the South China Sea

Chunhua Qiu, Zhenyang Du, Haibo Tang, Zhenhui Yi, Jiawei Qiao, Dongxiao Wang, Xiaoming Zhai, and Wenbo Wang

Data sets

AUG and AUV data used in research "A High-Resolution Temperature-Salinity Dataset Observed by Autonomous Underwater Vehicles for the Evolution of Mesoscale Eddies and Associated Submesoscale Processes in South China Sea" Chunhua Qiu et al. https://doi.org/10.57760/sciencedb.11996

Short summary

The high-resolution autonomous underwater vehicle (AUV) dataset for the South China Sea (SCS) provides 13 491 temperature and salinity profiles and covers 463 d of experiments. To our knowledge, the resolution and length of this dataset are enough to detect the asymmetry, vertical tilt, and temporal evolution of mesoscale eddies (MEs) and the corresponding submesoscale processes. The dataset is expected to improve the accuracy of current and biogeochemistry numerical models. More projects conducting AUV experiments will be promoted in the future.