中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The dominant modes of recent sea level variability from 1993 to 2020 in the China Seas

文献类型:期刊论文

作者Feng, Jianlong3,4; Chen, Qiaojun3; Li, Delei1,2; Yang, Xinming3; Zhao, Liang3,4
刊名GLOBAL AND PLANETARY CHANGE
出版日期2024-06-01
卷号237页码:12
关键词Sea level variability China Seas Cyclostationary empirical orthogonal functions ENSO
ISSN号0921-8181
DOI10.1016/j.gloplacha.2024.104451
通讯作者Zhao, Liang(zhaoliang@tust.edu.cn)
英文摘要A better understanding of internal climatic variability is essential for estimating and predicting regional sea level rise in the coming decades. Based on the satellite altimeter data, the cyclostationary empirical orthogonal function (CSEOF) analysis is used to extract and examine the seasonal signal, trend, El Nino-Southern Oscillation (ENSO)-related, and low-frequency mode of sea level anomaly in the China Seas from 1993 to 2020. The interannual changes in the annual cycle of sea level were significantly influenced by the mean surface pressure and the 10-m zonal wind component. Furthermore, strong El Nino events (1997/1998) can significantly affect seasonal fluctuations through precipitation and runoff. By recombining the loading vector and principal component time series of the trend mode, we estimate the sea level trends to be about 3.63 +/- 0.37 mm/yr. The South China Sea, followed by the Yellow Sea, is where ENSO's effects on sea level fluctuations are most noticeable. The 2015-2016 El Nino, which was a combination of the Central Pacific (CP) ENSO Eastern Pacific (EP) ENSO, had average sea levels that were much lower than those of the 1997-1998 (CP ENSO) and 2009-2010 (CP ENSO). The Pacific Decadal Oscillation (PDO) can significantly affect the low frequency mode, but other sources also contribute to this mode. The South China Sea, especially to the west of Luzon Island, exhibits the highest level of variability in the low-frequency mode. Finally, our work shows that, in contrast to global or oceanic scales, regional CSEOF analysis does, in fact, capture regional sea level variability more accurately and detailed.
WOS关键词SOUTHERN-OSCILLATION ; SURFACE HEIGHT ; EL-NINO ; PACIFIC ; RISE ; RECONSTRUCTION ; YELLOW ; BOHAI
资助项目National Natural Science Foundation of China[42176198] ; National Natural Science Foundation of China[42176203] ; Taishan Scholars Program[tsqn202211252] ; Tianjin Research Innovation Project for Postgraduate Students[2022SKY104]
WOS研究方向Physical Geography ; Geology
语种英语
WOS记录号WOS:001234574200001
出版者ELSEVIER
源URL[http://ir.qdio.ac.cn/handle/337002/185969]  
专题海洋研究所_海洋环流与波动重点实验室
通讯作者Zhao, Liang
作者单位1.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
3.Tianjin Univ Sci & Technol, Coll Marine & Environm Sci, Tianjin 300457, Peoples R China
4.Tianjin Univ Sci & Technol, Key Lab Marine Resource Chem & Food Technol, Tianjin 300457, Peoples R China
推荐引用方式
GB/T 7714
Feng, Jianlong,Chen, Qiaojun,Li, Delei,et al. The dominant modes of recent sea level variability from 1993 to 2020 in the China Seas[J]. GLOBAL AND PLANETARY CHANGE,2024,237:12.
APA Feng, Jianlong,Chen, Qiaojun,Li, Delei,Yang, Xinming,&Zhao, Liang.(2024).The dominant modes of recent sea level variability from 1993 to 2020 in the China Seas.GLOBAL AND PLANETARY CHANGE,237,12.
MLA Feng, Jianlong,et al."The dominant modes of recent sea level variability from 1993 to 2020 in the China Seas".GLOBAL AND PLANETARY CHANGE 237(2024):12.

入库方式: OAI收割

来源:海洋研究所

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