Sea surface height oscillation with quasi-four-month period along the continental slope in the northern South China Sea

2012 ◽  
Vol 30 (2) ◽  
pp. 352-359 ◽  
Author(s):  
Chun Hoe Chow ◽  
Qinyu Liu
2021 ◽  
Vol 40 (7) ◽  
pp. 68-76
Author(s):  
Tao Song ◽  
Ningsheng Han ◽  
Yuhang Zhu ◽  
Zhongwei Li ◽  
Yineng Li ◽  
...  

2020 ◽  
Vol 8 (6) ◽  
pp. 426 ◽  
Author(s):  
Jiajia Yuan ◽  
Jinyun Guo ◽  
Yupeng Niu ◽  
Chengcheng Zhu ◽  
Zhen Li ◽  
...  

Altimeter waveforms are usually contaminated due to nonmarine surfaces or inhomogeneous sea state conditions. The present work aimed to present how the singular spectrum analysis (SSA) can be used to reduce the noise level in Jason-1 altimeter waveforms to obtain SSA-denoised waveforms, improving the accuracy of a mean sea surface height (MSSH) model. Comparing the retracked sea surface heights (SSHs) by a 50% threshold retracker for the SSA-denoised waveforms with those for the raw waveforms, the results indicated that SSA allowed a noise reduction on Jason-1 waveforms, improving the accuracy of retracked SSHs. The MSSH model (called Model 1) over the South China Sea with a grid of 2′ × 2′ was established from the retracked SSHs of Jason-1 by the 50% threshold retracker for the SSA-denoised waveforms. Comparing Model 1 and Model 2 (established from the retracked SSHs by the 50% threshold retracker for the raw waveforms) with the CLS15 and DTU18 models in the South China Sea, it was found that the accuracy of Model 1 was higher than that of Model 2, which indicates that using SSA to reduce noise level in Jason-1 waveforms can effectively improve the accuracy of the MSSH model.


2007 ◽  
Vol 22 (3) ◽  
pp. n/a-n/a ◽  
Author(s):  
Gangjian Wei ◽  
Wenfeng Deng ◽  
Kefu Yu ◽  
Xian-hua Li ◽  
Weidong Sun ◽  
...  

2016 ◽  
Vol 121 (8) ◽  
pp. 6323-6330 ◽  
Author(s):  
Yangrui Guo ◽  
Wenfeng Deng ◽  
Xuefei Chen ◽  
Gangjian Wei ◽  
Kefu Yu ◽  
...  

2015 ◽  
Vol 34 (12) ◽  
pp. 80-92 ◽  
Author(s):  
Yuhua Pei ◽  
Rong-Hua Zhang ◽  
Xiangming Zhang ◽  
Lianghong Jiang ◽  
Yanzhou Wei

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