Inter-annual sea level variability in the southern South China Sea
DRS at CSIR-National Institute of Oceanography
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Title |
Inter-annual sea level variability in the southern South China Sea
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Creator |
Soumya, M.
Vethamony, P. Tkalich, P. |
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Subject |
OCEANOGRAPHY AND LIMNOLOGY
OCEANOGRAPHY AND LIMNOLOGY |
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Description |
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
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Date |
2015-10-27T04:06:42Z
2015-10-27T04:06:42Z 2015 |
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Type |
Journal Article
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Identifier |
Global and Planetary Change, vol.133; 2015; 17-26
http://drs.nio.org/drs/handle/2264/4816 |
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Language |
en
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Rights |
An edited version of this paper was published by Elsevier. Copyright [2015] Elsevier
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Publisher |
Elsevier
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