The variability of eddy kinetic energy in the South China Sea deduced from satellite altimeter data

2009 ◽  
Vol 27 (4) ◽  
pp. 943-954 ◽  
Author(s):  
Gengxin Chen ◽  
Yijun Hou ◽  
Xiaoqing Chu ◽  
Peng Qi ◽  
Po Hu
2012 ◽  
Vol 31 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Hui Wang ◽  
Dakui Wang ◽  
Guimei Liu ◽  
Huiding Wu ◽  
Ming Li

Author(s):  
Ruibin Ding ◽  
Jiliang Xuan ◽  
Tao Zhang ◽  
Lei Zhou ◽  
Feng Zhou ◽  
...  

AbstractEddy-induced heat transport (EHT) in the South China Sea (SCS) is important for the heat budget. However, knowledge of its variability is limited owing to discrepancies arising from the limitation of the down-gradient method and uncertainties arising from numerical models. Herein, we investigated the spatiotemporal variability and dynamics of EHT using a well-validated assimilated model. In particular, to the southeast of Vietnam (SEV) and west of Luzon Strait (WLS), significant values of annual mean EHT are observed and most EHT is confined in the upper 400 m. EHT also exhibits significant seasonality, and the largest EHT amplitude in autumn at SEV is mainly driven by the wind stress curl, while that in winter at WLS is mainly related to the Kuroshio intrusion. Energy budget analysis reveals that both the barotropic and baroclinic instabilities increase the eddy kinetic energy in autumn at SEV, whereas only the barotropic instability contributes to the eddy kinetic energy at WLS in winter. Specially, an up-gradient EHT is observed at WLS in all four seasons, characterized by the same directions between EHT and mean temperature gradient. The up-gradient EHT at WLS is induced by the baroclinic instability through an inverse energy transfer, which is generated by the interaction between the Kuroshio intrusion and topography below the surface layer. Moreover, the most significant up-gradient EHT in winter shows a wave-like southwestward propagating pattern in the subsurface layer.


2018 ◽  
Author(s):  
Jiaxun Li ◽  
Guihua Wang ◽  
Huijie Xue ◽  
Huizan Wang

Abstract. A novel predictive model is built for eddy propagation trajectory using the multiple linear regression method. This simple model has related various oceanic parameters to eddy propagation position changes in the South China Sea (SCS). These oceanic parameters mainly represent the effects of planetary β and mean flow advection on the eddy propagation. The performance of the proposed model is examined in the SCS based on twenty years of satellite altimeter data, and demonstrates its significant forecast skills over a 4-week forecast window comparing to the traditional persistence method. It is also found that the model forecast accuracy is sensitive to eddy polarity and forecast season.


2020 ◽  
Vol 155 ◽  
pp. 101704
Author(s):  
J. Xie ◽  
M. De Vos ◽  
L. Bertino ◽  
J. Zhu ◽  
F. Counillon

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