Articles | Volume 17, issue 7
https://doi.org/10.5194/essd-17-3189-2025
https://doi.org/10.5194/essd-17-3189-2025
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

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Cited articles

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Caffaz, A., Caiti, A., Casalino, G., and Turetta, A.: The hybrid glider/AUV folaga, IEEE Robot. Autom. Mag., 17, 31–44, https://doi.org/10.1109/MRA.2010.935791, 2010. 
Chelton, D., Schlax, M., Samelson, R., and de Szoeke, R.: Global observations of large oceanic eddies, Geophys. Res. Lett., 34, L15606, https://doi.org/10.1029/2007GL030812, 2007. 
Chelton, D., Schlax, M., and Samelson, R.: Global observations of nonlinear mesoscale eddies, Prog. Oceanogr., 91, 167–216, https://doi.org/10.1016/j.pocean.2011.01.002, 2011.  
Chen, G., Hou, Y., and Chu, X.: Mesoscale eddies in the South China Sea: Mean properties, spatiotemporal variability, and impact on thermohaline structure, J. Geophys. Res.-Oceans, 116, C06018, https://doi.org/10.1029/2010JC006716, 2011. 
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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.
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