An ensemble adjustment Kalman filter study for Argo data

doi:10.1007/s00343-010-9017-2

	An ensemble adjustment Kalman filter study for Argo data
	Yin Xunqiang 5; Qiao Fangli 5; Yang Yongzeng 5; Xia Changshui 5
刊名	Chinese Journal of Oceanology and Limnology
	2010
卷号	28 期号:3 页码:626-635
关键词	ensemble adjustment Kalman filter Argo profile data assimilation
ISSN号	0254-4059
DOI	10.1007/s00343-010-9017-2
英文摘要	An ensemble adjustment Kalman filter system is developed to assimilate Argo profiles into the Northwest Pacific MASNUM wave-circulation coupled model, which is based on the Princeton Ocean Model (POM). This model was recoded in FORTRAN-90 style, and some new data types were defined to improve the efficiency of system design and execution. This system is arranged for parallel computing by using UNIX shell scripts: it is easier with single models running separately with the required information exchanged through input/output files. Tests are carried out to check the performance of the system: one for checking the ensemble spread and another for the performance of assimilation of the Argo data in 2005. The first experiment shows that the assimilation system performs well. The comparison with the Satellite derived sea surface temperature (SST) shows that modeled SST errors are reduced after assimilation; at the same time, the spatial correlation between the simulated SST anomalies and the satellite data is improved because of Argo assimilation. Furthermore, the temporal evolution/trend of SST becomes much better than those results without data assimilation. The comparison against GTSPP profiles shows that the improvement is not only in the upper layers of ocean, but also in the deeper layers. All these results suggest that this system is potentially capable of reconstructing oceanic data sets that are of high quality and are temporally and spatially continuous.
资助项目	Project of National Basic Research Program of China ; Special Fund for Fundamental Scientific Research
WOS关键词	OCEAN DATA ASSIMILATION ; FORECAST ; MODEL
WOS研究方向	Oceanography
语种	英语
CSCD记录号	CSCD:3891798
WOS记录号	WOS:000278924100025
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/29783]
专题	自然资源部第一海洋研究所
作者单位	1.The First Institute of Oceanography, SOA, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, Shandong 266061, China 2.The First Institute of Oceanography, SOA, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, Shandong 266061, China 3.The First Institute of Oceanography, SOA, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, Shandong 266061, China 4.The First Institute of Oceanography, SOA, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, Shandong 266061, China 5.The First Institute of Oceanography, SOA, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, Shandong 266061, China 6.The First Institute of Oceanography, SOA, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, Shandong 266061, China 7.The First Institute of Oceanography, SOA, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, Shandong 266061, China 8.The First Institute of Oceanography, SOA, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, Shandong 266061, China
推荐引用方式 GB/T 7714	Yin Xunqiang,Qiao Fangli,Yang Yongzeng,et al. An ensemble adjustment Kalman filter study for Argo data[J]. Chinese Journal of Oceanology and Limnology,2010,28(3):626-635.
APA	Yin Xunqiang,Qiao Fangli,Yang Yongzeng,&Xia Changshui.(2010).An ensemble adjustment Kalman filter study for Argo data.Chinese Journal of Oceanology and Limnology,28(3),626-635.
MLA	Yin Xunqiang,et al."An ensemble adjustment Kalman filter study for Argo data".Chinese Journal of Oceanology and Limnology 28.3(2010):626-635.