The Effect of Non-Breaking Wave Mixing on Ocean Modeling in the South China Sea

This study investigates the wave-induced vertical mixing mechanism and systematically compares the application of two non-breaking wave parameterization schemes (Bv and Pw) in oceanic numerical simulations of the South China Sea, according to two key physical variables: sea surface temperature (SST) and the vertical mixing coefficient. The goal is to explore the effects of different parameterization methods on the upper-ocean temperature distribution in the South China Sea. The results indicate that although both schemes enhance vertical mixing in the upper ocean, they do so through different mechanisms. The Bv scheme directly increases the vertical mixing coefficient, demonstrating significantly stronger mixing intensity, while the Pw scheme impacts mixing indirectly by modulating turbulent kinetic energy generation, resulting in comparatively weaker mixing. SST simulation results show that the Bv scheme is more effective in reducing SST in both winter and summer, with broader spatial improvements. Further analysis of the mixing coefficient confirms that, compared to the Pw scheme, the Bv scheme not only strengthens surface mixing but also penetrates deeper into the water column.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-08-12
DOI
https://doi.org/10.3390/jmse13081548
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00

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article

The Effect of Non-Breaking Wave Mixing on Ocean Modeling in the South China Sea

Yujie Jing, Rui Li, Kejian Wu, Zipeng Yu
Journal of Marine Science and Engineering
Ocean Waves and Remote Sensing
article

The Effect of Non-Breaking Wave Mixing on Ocean Modeling in the South China Sea

Yujie Jing, Rui Li, Kejian Wu, Zipeng Yu
article en

Abstract

This study investigates the wave-induced vertical mixing mechanism and systematically compares the application of two non-breaking wave parameterization schemes (Bv and Pw) in oceanic numerical simulations of the South China Sea, according to two key physical variables: sea surface temperature (SST) and the vertical mixing coefficient. The goal is to explore the effects of different parameterization methods on the upper-ocean temperature distribution in the South China Sea. The results indicate that although both schemes enhance vertical mixing in the upper ocean, they do so through different mechanisms. The Bv scheme directly increases the vertical mixing coefficient, demonstrating significantly stronger mixing intensity, while the Pw scheme impacts mixing indirectly by modulating turbulent kinetic energy generation, resulting in comparatively weaker mixing. SST simulation results show that the Bv scheme is more effective in reducing SST in both winter and summer, with broader spatial improvements. Further analysis of the mixing coefficient confirms that, compared to the Pw scheme, the Bv scheme not only strengthens surface mixing but also penetrates deeper into the water column.

Journal of Marine Science and EngineeringVol. 13(8)
The University of Melbourne (AU), Chinese Academy of Sciences (CN), Institute of Atmospheric Physics (CN), Ocean University of China (CN)
EarthLab, University of Washington, National Key Research and Development Program of China
Openalex Percentile: Top 79%
Ocean Waves and Remote Sensing
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