The dominant modes of recent sea level variability from 1993 to 2020 in the China Seas

doi:10.1016/j.gloplacha.2024.104451

IOCAS-IR > 海洋环流与波动重点实验室

	The dominant modes of recent sea level variability from 1993 to 2020 in the China Seas
	Feng, Jianlong 1,2; Chen, Qiaojun 2; Li, Delei 3,4; Yang, Xinming 2; Zhao, Liang 1,2
	2024-06-01
发表期刊	GLOBAL AND PLANETARY CHANGE
ISSN	0921-8181
卷号	237 页码:12
通讯作者	Zhao, Liang(zhaoliang@tust.edu.cn)
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.
关键词	Sea level variability China Seas Cyclostationary empirical orthogonal functions ENSO
DOI	10.1016/j.gloplacha.2024.104451
收录类别	SCI
语种	英语
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
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary
WOS记录号	WOS:001234574200001
出版者	ELSEVIER
WOS关键词	SOUTHERN-OSCILLATION ; SURFACE HEIGHT ; EL-NINO ; PACIFIC ; RISE ; RECONSTRUCTION ; YELLOW ; BOHAI
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/185970
专题	海洋环流与波动重点实验室
通讯作者	Zhao, Liang
作者单位	1.Tianjin Univ Sci & Technol, Key Lab Marine Resource Chem & Food Technol, Tianjin 300457, Peoples R China 2.Tianjin Univ Sci & Technol, Coll Marine & Environm Sci, Tianjin 300457, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 4.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, 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.