Seasonal characteristics and formation mechanism of the thermohaline structure of mesoscale eddy in the South China Sea

2019 ◽  
Vol 38 (4) ◽  
pp. 29-38 ◽  
Author(s):  
Yongcan Zu ◽  
Shuangwen Sun ◽  
Wei Zhao ◽  
Peiliang Li ◽  
Baochao Liu ◽  
...  
Ocean Science ◽  
2011 ◽  
Vol 7 (6) ◽  
pp. 835-849 ◽  
Author(s):  
Y. Du ◽  
X. Fan ◽  
Z. He ◽  
F. Su ◽  
C. Zhou ◽  
...  

Abstract. In this paper, a rough set theory is introduced to represent spatial-temporal relationships and extract the corresponding rules from typical mesoscale-eddy states in the South China Sea (SCS). Three decision attributes are adopted in this study, which make the approach flexible in retrieving spatial-temporal rules with different features. The results demonstrate that this approach is effective, and therefore provides a powerful approach to forecasts in the future studies. Spatial-temporal rules in the SCS indicate that warm eddies following the rules are generally in the southeastern and central SCS around 2000 m isobaths in winter. Their intensity and vorticity are weaker than those of cold eddies. They usually move a shorter distance. By contrast, cold eddies are in 2000 m and deeper regions of the southwestern and northeastern SCS in spring and fall. Their intensity and vorticity are strong. Usually they move a long distance. In winter, a few rules are followed by cold eddies in the northern tip of the basin and southwest of Taiwan Island rather than warm eddies, indicating cold eddies may be well-regulated in the region. Several warm-eddy rules are achieved west of Luzon Island, indicating warm eddies may be well-regulated in the region as well. Otherwise, warm and cold eddies are distributed not only in the jet flow off southern Vietnam induced by intraseasonal wind stress in summer-fall, but also in the northern shallow water, which should be a focus of a future study.


2020 ◽  
Vol 39 (11) ◽  
pp. 91-102
Author(s):  
Runqi Huang ◽  
Lingling Xie ◽  
Quanan Zheng ◽  
Mingming Li ◽  
Peng Bai ◽  
...  

2011 ◽  
Vol 8 (3) ◽  
pp. 1261-1300
Author(s):  
Y. Du ◽  
X. Fan ◽  
Z. He ◽  
F. Su ◽  
C. Zhou ◽  
...  

Abstract. In this paper, a rough set theory is introduced to represent spatial-temporal relationships and extract the corresponding rules from typical mesoscale-eddy states in the South China Sea (SCS). Three decision attributes are adopted in this study, which make the approach flexible in retrieving spatial-temporal rules with different features. Spatial-temporal rules of typical states in the SCS are extracted as three decision attributes, which then are confirmed by the previous works. The results demonstrate that this approach is effective in extracting spatial-temporal rules from typical mesoscale-eddy states, and therefore provides a powerful approach to forecasts in the future. Spatial-temporal rules in the SCS indicate that warm eddies following the rules are generally in the southeastern and central SCS around 2000 m isobaths in winter. Their intensity and vorticity are weaker than those of cold eddies. They usually move a shorter distance. By contrast, cold eddies are in 2000 m-deeper regions of the southwestern and northeastern SCS in spring and fall. Their intensity and vorticity are strong. Usually they move a long distance. In winter, a few rules are followed by cold eddies in the northern tip of the basin and southwest of Taiwan Island rather than warm eddies, indicating cold eddies may be well-regulated in the region. Several warm-eddy rules are achieved west of Luzon Island, indicating warm eddies may be well-regulated in the region as well. Otherwise, warm and cold eddies are distributed not only in the jet flow off southern Vietnam induced by intraseasonal wind stress in summer-fall, but also in the northern shallow water, which should be a focus of future study.


2017 ◽  
Vol 84 ◽  
pp. 274-288 ◽  
Author(s):  
Yintao Lu ◽  
Xiwu Luan ◽  
Fuliang Lyu ◽  
Bin Wang ◽  
Zhili Yang ◽  
...  

2018 ◽  
Vol 55 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Tingting Wu ◽  
Jiangong Wei ◽  
Shengxuan Liu ◽  
Yongxian Guan ◽  
Ruwei Zhang ◽  
...  

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