| DOI: | 10.1016/j.gloplacha.2015.07.003
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| 论文题名: | Inter-annual sea level variability in the southern South China Sea |
| 作者: | Soumya M.; Vethamony P.; Tkalich P.
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| 刊名: | Global and Planetary Change
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| ISSN: | 0921-8181
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| 出版年: | 2015
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| 卷: | 133 | | 起始页码: | 17
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| 结束页码: | 26
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| 语种: | 英语
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| 英文关键词: | ENSO
; IOD
; PDO
; Sea level anomalies
; Volume transport
; Wind stress curl
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| Scopus关键词: | Climatology
; Linear regression
; Marine signal systems
; Regression analysis
; Tide gages
; Wind effects
; Wind stress
; ENSO
; IOD
; PDO
; Sea level anomaly
; Volume transport
; Wind stress curl
; Sea level
; annual variation
; coastal zone
; El Nino-Southern Oscillation
; marginal sea
; Pacific Decadal Oscillation
; regression analysis
; satellite altimetry
; sea level change
; tide gauge
; volume transport
; wind stress
; Gulf of Thailand
; Indian Ocean
; Pacific Ocean
; South China Sea
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| 英文摘要: | The South China Sea (SCS) is the largest marginal sea in the western Pacific Basin. Sea level anomalies (SLAs) in the southern South China Sea (SSCS) are assumed to be governed by various phenomena associated with the adjacent parts of the Indian Ocean and the Pacific Ocean. We have used monthly sea level anomalies obtained from 12 tide gauge stations of PSMSL and UHSLC and merged and gridded AVISO products of SLAs (sea level anomalies) derived from satellite altimeter. We find that IOD-influenced inter-annual variations are found only in the southwestern and southeastern coastal regions of SSCS. Our analysis reveals that inter-annual regional sea level drops are associated with positive phase of the IOD, and the rises with negative phase of the IOD. SLA variations at decadal scale in the southeastern and northern Gulf of Thailand correlate with Pacific Decadal Oscillations (PDO). Multiple linear regression analysis of inter-annual SLAs and climate indices shows that IOD induced inter-annual variations dominate in the southwestern SCS and it contributes to about ~. 40% of inter-annual sea level variation. Meanwhile, ENSO contributes to around ~. 30% variation in sea level in the southwestern and ~. 40% variation in the southeastern SSCS. The present study also suggests that inter-annual SLA variations in the SSCS can occur by ENSO and IOD induced changes in wind stress curl and volume transport variations. © 2015 Elsevier B.V. |
| URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939220337&doi=10.1016%2fj.gloplacha.2015.07.003&partnerID=40&md5=a9d2318883c5112106a6bdda0c00fc6a
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| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/11473
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| Appears in Collections: | 全球变化的国际研究计划
气候变化与战略
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作者单位: | CSIR-National Institute of Oceanography, Dona Paula, Goa, India
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| Recommended Citation: | |
Soumya M.,Vethamony P.,Tkalich P.. Inter-annual sea level variability in the southern South China Sea[J]. Global and Planetary Change,2015-01-01,133.
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