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	Application and improvement of an adaptive ensemble Kalman filter for soil moisture data assimilation
	Shi XiaoKang1,2; Wen Jun1; Liu JianWen2; Tian Hui1; Wang Xin1; Li YaoDong2
刊名	SCIENCE CHINA-EARTH SCIENCES
	2010-11-01
卷号	53期号:11页码:1700-1708
关键词	Noah numerical simulation data assimilation adaptive ensemble Kalman filter soil moisture
ISSN号	1674-7313
DOI	10.1007/s11430-010-4107-8
通讯作者	Wen Jun(jwen@lzb.ac.cn)
英文摘要	Accurate assignment of model and observation errors is crucial for the successful application of land surface data assimilation algorithms. Poorly-specified model and observation errors can significantly degrade assimilation results. In 2008, Reichle et al. developed an operational procedure to adaptively tune model and observation errors. In this paper, we modified and applied Reichle's procedure in the Noah land surface model to assimilate observed surface soil moisture data. Numerical simulations showed that: (1) the best estimate of model and observation errors appears when the empirical factor beta equals 1.02; (2) the Reichle procedure can be deployed to adaptively tune errors if their true values change slowly; and (3) convergence of the Reichle procedure was improved using better initial errors achieved by iterative computations.
收录类别	SCI
WOS关键词	SYSTEM ; MODEL
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000298361500010
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2556284
专题	寒区旱区环境与工程研究所
通讯作者	Wen Jun
作者单位	1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lab Climate Environm & Disasters Western China, Lanzhou 730000, Peoples R China 2.Beijing Aviat Meteorol Inst, Beijing 100085, Peoples R China
推荐引用方式 GB/T 7714	Shi XiaoKang,Wen Jun,Liu JianWen,et al. Application and improvement of an adaptive ensemble Kalman filter for soil moisture data assimilation[J]. SCIENCE CHINA-EARTH SCIENCES,2010,53(11):1700-1708.
APA	Shi XiaoKang,Wen Jun,Liu JianWen,Tian Hui,Wang Xin,&Li YaoDong.(2010).Application and improvement of an adaptive ensemble Kalman filter for soil moisture data assimilation.SCIENCE CHINA-EARTH SCIENCES,53(11),1700-1708.
MLA	Shi XiaoKang,et al."Application and improvement of an adaptive ensemble Kalman filter for soil moisture data assimilation".SCIENCE CHINA-EARTH SCIENCES 53.11(2010):1700-1708.

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