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	Assimilating temperature and salinity profile observations using an anisotropic recursive filter in a coastal ocean model
	Liu, Ye2,4; Zhu, Jiang2; She, Jun1; Zhuang, Shiyu1; Fu, Weiwei1; Gao, Jidong3
刊名	Ocean modelling
	2009
卷号	30期号:2-3页码:75-87
关键词	Anisotropic recursive filter Coastal ocean data assimilation Ocean forecast
ISSN号	1463-5003
DOI	10.1016/j.ocemod.2009.06.005
通讯作者	She, jun(js@dmi.dk)
英文摘要	In order to improve the ocean forecasting in the north sea and baltic sea, an assimilation scheme based on a bottom-topography-dependent anisotropic recursive filter has been used in this study. this scheme can stretch or flatten the shape of a local representative contour surface of the background error covariance function into the form of an ellipse. furthermore, the computing efficiency has been largely improved due to implicit computation of the background error covariance. a two-month experiment has been used for verifying the impact of assimilating ocean profile observations on ocean forecasting. the results indicate that the use of temperature and salinity profiles can largely improve the oceanic forecasting. the root mean square differences between the forecasts and observations for temperature and salinity have been reduced by 36% and 18% in the experiment period, respectively. moreover, it is found that the anisotropic recursive filter approach is especially efficient in areas with complex coastlines and sharp fronts, e.g., inner danish waters. the results also show that the propagation of observation information from an observation position to its neighboring grid points is closely related to currents. (c) 2009 elsevier ltd. all rights reserved.
WOS关键词	VARIATIONAL STATISTICAL-ANALYSIS ; WATER-VAPOR OBSERVATIONS ; NUMERICAL ASPECTS ; BACKGROUND ERROR ; PART II ; COVARIANCES ; SCHEME ; TURBULENCE ; RETRIEVAL ; EXCHANGE
WOS研究方向	Meteorology & Atmospheric Sciences ; Oceanography
WOS类目	Meteorology & Atmospheric Sciences ; Oceanography
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000269991500001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2398611
专题	中国科学院大学
通讯作者	She, Jun
作者单位	1.Danish Meteorol Inst, Ctr Ocean & Ice, DK-2100 Copenhagen, Denmark 2.Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China 3.Univ Oklahoma, Ctr Anal & Predict Storms, Norman, OK 73019 USA 4.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China
推荐引用方式 GB/T 7714	Liu, Ye,Zhu, Jiang,She, Jun,et al. Assimilating temperature and salinity profile observations using an anisotropic recursive filter in a coastal ocean model[J]. Ocean modelling,2009,30(2-3):75-87.
APA	Liu, Ye,Zhu, Jiang,She, Jun,Zhuang, Shiyu,Fu, Weiwei,&Gao, Jidong.(2009).Assimilating temperature and salinity profile observations using an anisotropic recursive filter in a coastal ocean model.Ocean modelling,30(2-3),75-87.
MLA	Liu, Ye,et al."Assimilating temperature and salinity profile observations using an anisotropic recursive filter in a coastal ocean model".Ocean modelling 30.2-3(2009):75-87.

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