Coupled seasonal and intraseasonal variability in the South China Sea

CORC > 南海海洋研究所 > 中国科学院南海海洋研究所 > 热带海洋环境国家重点实验室(LTO)

	Coupled seasonal and intraseasonal variability in the South China Sea
	Wei, Jun; Wang, Dongxiao; Li, Mingting; Malanotte-Rizzoli, Paola
刊名	CLIMATE DYNAMICS
	2015
卷号	44 期号:9-10 页码:2463-2477
关键词	Seasonal variability Intraseasonal variability Atmosphere-ocean coupling Regional coupled model South China Sea
通讯作者	junwei@pku.edu.cn
中文摘要	Based on 10 year climatological data and simulations from a regional atmosphere-ocean coupled model (FVCOM-RegCM3), this study examined the coupled seasonal and intraseasonal variability of atmospheric-oceanic variables [sea surface temperature (SST), winds, rainfall and heat fluxes] and important roles of coupling in the South China Sea. It is showed that even though both coupled and uncoupled models in general are able to capture observed seasonal and intraseasonal variability, the coupled model demonstrates stronger coupling relationship than the uncoupled model. For seasonal variability, the atmosphere-ocean relationship is presented as SST forcing atmosphere. Atmospheric variables are significantly influenced by strong seasonally-varied SST. The coupled model very accurately reproduced the observed SST variation with a stable equilibrium state, while SST from the uncoupled model gradually drifted away from the equilibrium state lacking of the so-called negative SST-heat flux feedback. Lead-lag analysis showed that the coupled variables demonstrated stronger SST-atmosphere relationship than the uncoupled and even observed variables. For intraseasonal variability, the atmosphere-ocean relationship is presented as atmosphere forcing SST. Wind becomes a dominant forcing and demonstrates robust negative relationship with SST and positive relationship with rainfall/LHF. Both coupled and uncoupled models are able to reproduce this observed relationship. In wind-SST relationship, compared to uncoupled and observed variables, the coupled model produced the smallest SST variances and therefore the strongest negative coupling feedback. Sensitivity experiments were also carried out to examine the roles of coupling by directly comparing differences between the coupled and uncoupled experiments with initial temperature perturbations. It is showed that the differences can be up to 50 % of the standard deviations of the variables. Root-mean-square errors of the uncoupled model can be effectively reduced by similar to 65 % in the coupled model.
学科主题	Meteorology & Atmospheric Sciences
内容类型	期刊论文
源URL	[http://ir.scsio.ac.cn/handle/344004/15099]
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	Wei, Jun,Wang, Dongxiao,Li, Mingting,et al. Coupled seasonal and intraseasonal variability in the South China Sea[J]. CLIMATE DYNAMICS,2015,44(9-10):2463-2477.
APA	Wei, Jun,Wang, Dongxiao,Li, Mingting,&Malanotte-Rizzoli, Paola.(2015).Coupled seasonal and intraseasonal variability in the South China Sea.CLIMATE DYNAMICS,44(9-10),2463-2477.
MLA	Wei, Jun,et al."Coupled seasonal and intraseasonal variability in the South China Sea".CLIMATE DYNAMICS 44.9-10(2015):2463-2477.