A New Method of De-Aliasing Large-Scale High-Frequency Barotropic Signals in the Mediterranean Sea | |
Hu, Denghui1,2,3,4; Xu, Yongsheng1,2,4 | |
刊名 | REMOTE SENSING |
2020-07-01 | |
卷号 | 12期号:13页码:13 |
关键词 | tide gauge EOF analysis de-aliasing altimeter |
DOI | 10.3390/rs12132157 |
通讯作者 | Xu, Yongsheng(yongsheng.xu@qdio.ac.cn) |
英文摘要 | With the development of satellite observation technology, higher resolution and shorter return cycle have also placed higher demands on satellite data processing. The non-tide high-frequency barotropic oscillation in the marginal sea produces large aliasing errors in satellite altimeter observations. In previous studies, the satellite altimeter aliasing correction generally relied on a few bottom pressure data or the model data. Here, we employed the high-frequency tide gauge data to extract the altimeter non-tide aliasing correction in the west Mediterranean Sea. The spatial average method and EOF analysis method were adopted to track the high-frequency oscillation signals from 15 tide gauge records (TGs), and then were used to correct the aliasing errors in the Jason-1 and Envisat observations. The results showed that the EOF analysis method is better than the spatial average method in the altimeter data correction. After EOF correction, 90% of correlation (COR) between TG and sea level of Jason-1 has increased similar to 5%, and similar to 3% increase for the Envisat sea level; for the spatial average correction method, only similar to 70% of Jason-1 and Envisat data at the TGs location has about 2% increase in correlation. The EOF correction reduced the average percentage of error variance (PEL) by similar to 30%, while the spatial average correction increased the average percentage of PEL by similar to 20%. After correction by the EOF method, the altimeter observations are more consistent with the distribution of strong currents and eddies in the west Mediterranean Sea. The results prove that the proposed EOF method is more effective and accurate for the non-tide aliasing correction. |
资助项目 | National Key Research and Development Program[2019YFC1509102] ; Qingdao Pilot National Laboratory for Marine Science and Technology[2018ASKJ01] ; National Natural Science Foundation of China[41676168] ; National Natural Science Foundation of China[41376028] ; National Natural Science Foundation of China[41421005] ; National Natural Science Foundation of China[U1406401] ; National Natural Science Foundation of China[41906027] ; China Scholarship Council (CSC) |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000550849900001 |
内容类型 | 期刊论文 |
源URL | [http://ir.qdio.ac.cn/handle/337002/168020] |
专题 | 海洋研究所_海洋环流与波动重点实验室 |
通讯作者 | Xu, Yongsheng |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 3.Inst Francais Rech Exploitat Mer IFREMER, Lab Oceanog Phys & Spatiale, F-29280 Plouzane, France 4.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China |
推荐引用方式 GB/T 7714 | Hu, Denghui,Xu, Yongsheng. A New Method of De-Aliasing Large-Scale High-Frequency Barotropic Signals in the Mediterranean Sea[J]. REMOTE SENSING,2020,12(13):13. |
APA | Hu, Denghui,&Xu, Yongsheng.(2020).A New Method of De-Aliasing Large-Scale High-Frequency Barotropic Signals in the Mediterranean Sea.REMOTE SENSING,12(13),13. |
MLA | Hu, Denghui,et al."A New Method of De-Aliasing Large-Scale High-Frequency Barotropic Signals in the Mediterranean Sea".REMOTE SENSING 12.13(2020):13. |
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