Argo data assimilation in ocean general circulation model of Northwest Pacific Ocean

doi:10.1007/s10236-012-0549-1

CORC > 自然资源部第一海洋研究所 > 自然资源部第一海洋研究所 > 业务部门 > 海洋环境与数值模拟研究室

	Argo data assimilation in ocean general circulation model of Northwest Pacific Ocean
	Yin, Xunqiang 1,2; Qiao, Fangli 1,2; Yang, Yongzeng 1,2; Xia, Changshui 1,2; Chen, Xianyao 1,2
刊名	OCEAN DYNAMICS
	2012-07
卷号	62 期号:7 页码:1059-1071
关键词	Argo profiles Ensemble adjustment Kalman filter Ensemble free runs Ensemble spread Mesoscale variability
ISSN号	1616-7341
DOI	10.1007/s10236-012-0549-1
英文摘要	The Argo temperature and salinity profiles in 2005-2009 are assimilated into a coastal ocean general circulation model of the Northwest Pacific Ocean using the ensemble adjustment Kalman filter (EAKF). Three numerical tests, including the control run (CTL) (without data assimilation, which serves as the reference experiment), ensemble free run (EnFR) (without data assimilation), and EAKF experiment (with Argo data assimilation using EAKF), are carried out to examine the performance of this system. Using the restarts of different years as the initial conditions of the ensemble integrations, the ensemble spreads from EnFR and EAKF are all kept at a finite value after a sharp decreasing in the first few months because of the sensitive of the model to the initial conditions, and the reducing of the ensemble spread due to Argo data assimilation is not much. The ensemble samples obtained in this way can well represent the probabilities of the real ocean states, and no ensemble inflation is necessary for this EAKF experiment. Different experiment results are compared with satellite sea surface temperature (SST) data and the Global Temperature-Salinity Profile Program (GTSPP) data. The comparison of SST shows that modeled SST errors are reduced after data assimilation; the error reduction percentage after assimilating the Argo profiles is about 10 % on average. The comparison against the GTSPP profiles, which are independent of the Argo profiles, shows improvements in both temperature and salinity. The comparison results indicated a great error reduction in all vertical layers relative to CTL and the ensemble mean of EnFR; the maximum value for temperature and salinity reaches to 85 % and 80 %, respectively. The standard deviations of sea surface height are employed to examine the simulation ability, and it is shown that the mesoscale variability is improved after Argo data assimilation, especially in the Kuroshio extension area and along the section of 10A degrees N. All these results suggest that this system is potentially useful for improving the simulation ability of oceanic numerical models.
电子版国际标准刊号	16167228
资助项目	National Natural Science Foundation of China[41106032]
WOS研究方向	Oceanography
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000305691000006
内容类型	期刊论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/4092]
专题	业务部门_海洋环境与数值模拟研究室
作者单位	1.State Ocean Adm SOA, Inst Oceanog 1, Qingdao 266061, Peoples R China; 2.SOA, Key Lab Marine Sci & Numer Modeling MASNUM, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Yin, Xunqiang,Qiao, Fangli,Yang, Yongzeng,et al. Argo data assimilation in ocean general circulation model of Northwest Pacific Ocean[J]. OCEAN DYNAMICS,2012,62(7):1059-1071.
APA	Yin, Xunqiang,Qiao, Fangli,Yang, Yongzeng,Xia, Changshui,&Chen, Xianyao.(2012).Argo data assimilation in ocean general circulation model of Northwest Pacific Ocean.OCEAN DYNAMICS,62(7),1059-1071.
MLA	Yin, Xunqiang,et al."Argo data assimilation in ocean general circulation model of Northwest Pacific Ocean".OCEAN DYNAMICS 62.7(2012):1059-1071.