Establishment and adjustment of monsoon-driven circulation in the South China Sea

Wang, Dongxiao; Wang, Weiqiang; Shi, Ping; Peifang, Guo; Gan, Zijun

doi:10.1360/03yd9016

Cited by 30 publications

(22 citation statements)

References 9 publications

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“…For these reasons, this EOF mode must be less affected by tidal aliasing. Relevant studies [15][16][17] detected that the intrusion of Pacific Rossby wave into the SCS has strong El Niño signals. This mode may be associated with the long Rossby wave propagating westward in the eastern SCS and the Pacific water intrusion into the SCS with Rossby signals.…”

Section: Eof Resultsmentioning

confidence: 99%

Variability of surface circulation in the South China Sea from satellite altimeter data

Guo

Fang

et al. 2006

CHINESE SCI BULL

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11-year satellite altimeter sea surface height (SSH) anomaly data from January 1993 to December 2003 are used to present the dominant spatial patterns and temporal variations of the South China Sea (SCS) surface circulation through Empirical Orthogonal Function (EOF) analysis. The first three EOF modes show the obvious seasonal variations of SSH in the SCS. EOF mode one is generally characterized by a basin-wide circulation. Mode two describes the double-cell basin scale circulation structure. The two cells were located off west of the Luzon Island and southeast of Vietnam, respectively. EOF mode three presents the mesoscale eddy structure in the western SCS, which develops into a strong cyclonic eddy rapidly from July to September. EOF mode one and mode three are also embedded with interannual signals, indicating that the SCS surface circulation variation is influenced by El Niño events prominently. The strong El Niño of 1997/98 obviously changed the SCS circulation structure. This study also shows that there existed a series of mesoscale eddies in the western SCS, and their temporal variation indicates intra-seasonal and interannual signals.

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Section: Eof Resultsmentioning

confidence: 99%

Variability of surface circulation in the South China Sea from satellite altimeter data

Guo

Fang

et al. 2006

CHINESE SCI BULL

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“…As the transit time across the basin for Rossby wave is roughly 4-5 weeks [Liu et al, 2001;Wang et al, 2003aWang et al, , 2006a, the EKE is calculated as:…”

Section: Modelmentioning

confidence: 99%

“…Driven by the monsoonal winds, surface circulation in the SCS presents a basin-scale cyclonic pattern in winter and a double-gyre one in summer [Wyrtki, 1961;Xu et al, 1982;Wu et al, 1998;Chu et al,1999;Chu and Li, 2000;Qu, 2000] (see review by Fang et al [1998] and Hu et al [2000]). Subsequent studies have further demonstrated that the seasonal variability of the SCS circulation is subjected to the quasi steady Sverdrup balance, after a fast adjustment which is associated with the first-order baroclinic Rossby waves in the SCS basin [Liu et al, 2001;Wang et al, 2003a].…”

Section: Introductionmentioning

confidence: 99%

Eddy energy sources and sinks in the South China Sea

Yang

Liu

et al. 2013

JGR Oceans

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[1] The eddy energy sources and sinks in the South China Sea (SCS) are studied based on a high-resolution ocean circulation model. Eddies are found to acquire their energy from barotropic instability (BT), the release of available potential energy (APE) associated with baroclinic instability (BC) and horizontal convergence from surrounding areas, while they lose energy due to turbulent processes. Both the eddy energy sources and sinks show western intensification with their maximum around the southwestern SCS where most of the wind-input energy occurs, and the Luzon Strait where the Kuroshio intrudes the SCS in winter. Unlike that in the open ocean, the eddy energy in the inner SCS is confined to the upper layer. Besides, the eddy energy indicates clear seasonal variability, especially at the Luzon Strait where the eddy activity is much stronger in winter than in summer. Energy budget analysis suggests that APE releasing is found to be the most important eddy energy source, accounting for over 60% of the total, followed by energy convergence from surrounding areas in horizontal direction (around 20%) and energy released from BT (around 15%). Most of the generated energy is mainly balanced by the turbulent processes, while both of the downward energy flux and tendency term are negligible.

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“…High correlations also exist along the southeast boundary of the SCS basin, a region of small ISV variance. The high correlation there may be due to wind‐forced coastal trapped Kelvin waves [ D. Wang et al , 2003]. Sections 4.1–4.4 investigate physical processes in high‐variance zones identified above.…”

Section: Origins Of Intraseasonal Variabilitymentioning

confidence: 99%

Intraseasonal variability in sea surface height over the South China Sea

et al. 2010

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[1] Intraseasonal sea surface height (SSH) variability and associated eddy energy in the South China Sea is studied using satellite observations and an eddy-resolving, global ocean general circulation model. In both the model hindcast and satellite observations, a conspicuous minimum of intraseasonal SSH variance is found along the continental break between the shallow shelf and deep basin. Specifically strong intraseasonal variability (ISV) exists in the following regions: on the northern continental shelf, in the Gulf of Thailand, and along two bands in the deep basin with the northern band located west of Luzon Strait and the southern one southeast of Vietnam. SSH ISV exhibits clear seasonality. During active seasons, ISV in the deep water, high-variance bands displays robust propagations in the direction of mean flow. Low correlation between observations and model hindcast suggests the importance dynamical instabilities for ISV in the deep basin, in agreement with an energetics analysis. An exception is along the Vietnam offshore jet during summer, where ISV is forced by wind curls created by Annam Cordillera. In shallow waters, especially in the Gulf of Thailand, SSH ISV is dominated by barotropic response to intraseasonal wind stress forcing. The agreement between altimetry and the model simulation in the Gulf of Thailand demonstrates the ability of satellite altimeters to observe SSH variability in shallow shelves of weak tides.

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Establishment and adjustment of monsoon-driven circulation in the South China Sea

Cited by 30 publications

References 9 publications

Variability of surface circulation in the South China Sea from satellite altimeter data

Variability of surface circulation in the South China Sea from satellite altimeter data

Eddy energy sources and sinks in the South China Sea

Intraseasonal variability in sea surface height over the South China Sea

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