Articles | Volume 13, issue 3
https://doi.org/10.5194/os-13-503-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-13-503-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Jun 2017
Research article |
| 26 Jun 2017
Spatial distribution of turbulent mixing in the upper ocean of the South China Sea
Xiao-Dong Shang
CORRESPONDING AUTHOR
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences,
Guangzhou 510301, China
Chang-Rong Liang
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences,
Guangzhou 510301, China
University of Chinese Academy of Sciences,
Beijing 100049, China
Gui-Ying Chen
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences,
Guangzhou 510301, China
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Cited
24 citations as recorded by crossref.
- Advances in research of the mid-deep South China Sea circulation D. Wang et al. 10.1007/s11430-019-9546-3
- Submesoscale variability of subsurface chlorophyll-a across eddy-driven fronts by glider observations Y. Chen et al. 10.1016/j.pocean.2022.102905
- Changes of carbon to nitrogen ratio in particulate organic matter in the marine mesopelagic zone: A case from the South China Sea Z. Xu et al. 10.1016/j.marchem.2021.103930
- Microstructure Turbulence Measurement in the Northern South China Sea from a Long-Range Hybrid AUV Y. Nie et al. 10.3390/s23042014
- Dissipation of mesoscale eddies and its contribution to mixing in the northern South China Sea Q. Yang et al. 10.1038/s41598-018-36610-x
- Internal solitary waves enhancing turbulent mixing in the bottom boundary layer of continental slope C. Bian et al. 10.1016/j.jmarsys.2022.103805
- Improved dissipation rate estimation method based on time-varying glide parameter analysis of underwater gliders J. Liu et al. 10.1016/j.oceaneng.2022.113492
- Design and Motion Performance Analysis of Turbulent AUV Measuring Platform Y. Nie et al. 10.3390/s22020460
- Radium-Derived Water Mixing and Associated Nutrient in the Northern South China Sea J. Liu et al. 10.3389/fmars.2022.874547
- Circulation Driven by Multihump Turbulent Mixing Over a Seamount in the South China Sea R. Ye et al. 10.3389/fmars.2021.794156
- Spatial-temporal variability of submesoscale currents in the South China Sea J. Li et al. 10.1007/s00343-019-8077-1
- Spatial-temporal characteristics of the oceanic bottom mixed layer in the South China Sea W. Liu et al. 10.3389/fmars.2023.1112535
- The influence of turbulent mixing on the subsurface chlorophyll maximum layer in the northern South China Sea C. Shang et al. 10.1007/s00343-020-0313-1
- A simple transmission dynamics model for predicting the evolution of COVID-19 under control measures in China C. Shang et al. 10.1017/S0950268821000339
- Vertical multiple-layer structure of temperature and turbulent diffusivity in the South China Sea X. He et al. 10.1007/s13131-022-2005-5
- Application of Three-Dimensional Interpolation in Estimating Diapycnal Diffusivity in the South China Sea J. Guo et al. 10.3390/jmse8110832
- Observed three dimensional distributions of enhanced turbulence near the Luzon Strait J. Wang et al. 10.1038/s41598-021-94223-3
- A New Cross-Platform Instrument for Microstructure Turbulence Measurements Y. Nie et al. 10.3390/jmse9101051
- Spatial structure of turbulent mixing of an anticyclonic mesoscale eddy in the northern South China Sea Y. Qi et al. 10.1007/s13131-020-1676-z
- Spatial variability of diapycnal mixing in the South China Sea inferred from density overturn analysis Y. Lu et al. 10.1175/JPO-D-20-0241.1
- Observation of strong turbulent mixing in the Australian North West Shelf H. Mao et al. 10.1016/j.rsma.2022.102591
- Assessment of fine-scale parameterizations at low latitudes of the North Pacific C. Liang et al. 10.1038/s41598-018-28554-z
- Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea C. Qiu et al. 10.1007/s13131-020-1669-y
- Comparison of prediction accuracies between two mathematical models for the assessment of COVID-19 damage at the early stage and throughout 2020 H. Chuang et al. 10.1097/MD.0000000000029718
24 citations as recorded by crossref.
- Advances in research of the mid-deep South China Sea circulation D. Wang et al. 10.1007/s11430-019-9546-3
- Submesoscale variability of subsurface chlorophyll-a across eddy-driven fronts by glider observations Y. Chen et al. 10.1016/j.pocean.2022.102905
- Changes of carbon to nitrogen ratio in particulate organic matter in the marine mesopelagic zone: A case from the South China Sea Z. Xu et al. 10.1016/j.marchem.2021.103930
- Microstructure Turbulence Measurement in the Northern South China Sea from a Long-Range Hybrid AUV Y. Nie et al. 10.3390/s23042014
- Dissipation of mesoscale eddies and its contribution to mixing in the northern South China Sea Q. Yang et al. 10.1038/s41598-018-36610-x
- Internal solitary waves enhancing turbulent mixing in the bottom boundary layer of continental slope C. Bian et al. 10.1016/j.jmarsys.2022.103805
- Improved dissipation rate estimation method based on time-varying glide parameter analysis of underwater gliders J. Liu et al. 10.1016/j.oceaneng.2022.113492
- Design and Motion Performance Analysis of Turbulent AUV Measuring Platform Y. Nie et al. 10.3390/s22020460
- Radium-Derived Water Mixing and Associated Nutrient in the Northern South China Sea J. Liu et al. 10.3389/fmars.2022.874547
- Circulation Driven by Multihump Turbulent Mixing Over a Seamount in the South China Sea R. Ye et al. 10.3389/fmars.2021.794156
- Spatial-temporal variability of submesoscale currents in the South China Sea J. Li et al. 10.1007/s00343-019-8077-1
- Spatial-temporal characteristics of the oceanic bottom mixed layer in the South China Sea W. Liu et al. 10.3389/fmars.2023.1112535
- The influence of turbulent mixing on the subsurface chlorophyll maximum layer in the northern South China Sea C. Shang et al. 10.1007/s00343-020-0313-1
- A simple transmission dynamics model for predicting the evolution of COVID-19 under control measures in China C. Shang et al. 10.1017/S0950268821000339
- Vertical multiple-layer structure of temperature and turbulent diffusivity in the South China Sea X. He et al. 10.1007/s13131-022-2005-5
- Application of Three-Dimensional Interpolation in Estimating Diapycnal Diffusivity in the South China Sea J. Guo et al. 10.3390/jmse8110832
- Observed three dimensional distributions of enhanced turbulence near the Luzon Strait J. Wang et al. 10.1038/s41598-021-94223-3
- A New Cross-Platform Instrument for Microstructure Turbulence Measurements Y. Nie et al. 10.3390/jmse9101051
- Spatial structure of turbulent mixing of an anticyclonic mesoscale eddy in the northern South China Sea Y. Qi et al. 10.1007/s13131-020-1676-z
- Spatial variability of diapycnal mixing in the South China Sea inferred from density overturn analysis Y. Lu et al. 10.1175/JPO-D-20-0241.1
- Observation of strong turbulent mixing in the Australian North West Shelf H. Mao et al. 10.1016/j.rsma.2022.102591
- Assessment of fine-scale parameterizations at low latitudes of the North Pacific C. Liang et al. 10.1038/s41598-018-28554-z
- Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea C. Qiu et al. 10.1007/s13131-020-1669-y
- Comparison of prediction accuracies between two mathematical models for the assessment of COVID-19 damage at the early stage and throughout 2020 H. Chuang et al. 10.1097/MD.0000000000029718
Latest update: 19 Apr 2024
Short summary
We conduct direct microstructure measurements that cover the SCS to explore the features of the turbulent mixing. Our results indicate that strong turbulent mixing was observed in the region to the west of the Luzon Strait where the diapycnal diffusivity is almost an order of magnitude higher than the values of the central and southern SCS. The energetic internal waves and internal tides generated near the Luzon Strait are expected to make a dominant contribution to creating this mixing patten.
We conduct direct microstructure measurements that cover the SCS to explore the features of the...
