Variability of surface circulation in the South China Sea from satellite altimeter data

2006 ◽  
Vol 51 (S2) ◽  
pp. 1-8 ◽  
Author(s):  
Junjian Guo ◽  
Wendong Fang ◽  
Guohong Fang ◽  
Haiying Chen
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

1995 ◽  
Vol 127 (1-4) ◽  
pp. 145-165 ◽  
Author(s):  
Pinxian Wang ◽  
Luejiang Wang ◽  
Yunhua Bian ◽  
Zhimi Jian

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