Contribution of the Karimata Strait transport to the Indonesian Throughflow as seen from a data assimilation model
He, Zhigang; Feng, Ming; Wang, Dongxiao; Slawinski, Dirk
刊名CONTINENTAL SHELF RESEARCH
2015
卷号92页码:16-22
关键词South China Sea Numerical model Particle tracking Indonesian Throughflow
通讯作者ming.feng@csiro.au
中文摘要A particle-tracking experiment based on Bluelink ReANalysis (BRAN) is designed to explore the contribution of a branch of the South China Sea Throughflow, the Karimata Strait (KS) transport, to the Indonesian Throughflow (ITF) from the Pacific to the Indian Ocean. Results of the particle-tracking experiment show that most of the KS transport enters the Indian Ocean during the first half of a calendar year, with a maximum transport of more than 3 Sv in March-April. The annual average contribution of the KS transport to the ITF is 1.6 Sv, 13% of the annual mean ITF transport, while in February-April, the contribution is above 20%. Interannual variations of the KS transport into the Indian Ocean are modulated by the El Nino-Southern Oscillation (ENSO). More SCS waters through KS can enter the Indian Ocean during El Nino phase, and less SCS waters through KS can enter the Indian Ocean during La Nina phase. SCS waters through KS can also enter the Pacific, especially during La Nina and negative Indian Ocean Dipole phase. (C) 2014 Elsevier Ltd. All rights reserved.
学科主题Oceanography
内容类型期刊论文
源URL[http://ir.scsio.ac.cn/handle/344004/15015]  
专题南海海洋研究所_热带海洋环境国家重点实验室(LTO)
推荐引用方式
GB/T 7714
He, Zhigang,Feng, Ming,Wang, Dongxiao,et al. Contribution of the Karimata Strait transport to the Indonesian Throughflow as seen from a data assimilation model[J]. CONTINENTAL SHELF RESEARCH,2015,92:16-22.
APA He, Zhigang,Feng, Ming,Wang, Dongxiao,&Slawinski, Dirk.(2015).Contribution of the Karimata Strait transport to the Indonesian Throughflow as seen from a data assimilation model.CONTINENTAL SHELF RESEARCH,92,16-22.
MLA He, Zhigang,et al."Contribution of the Karimata Strait transport to the Indonesian Throughflow as seen from a data assimilation model".CONTINENTAL SHELF RESEARCH 92(2015):16-22.
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