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	A soil moisture assimilation scheme based on the ensemble kalman filter using microwave brightness temperature
	Jia BingHao1,2; Xie ZhengHui1; Tian XiangJun1; Shi ChunXiang3
刊名	Science in china series d-earth sciences
	2009-11-01
卷号	52期号:11页码:1835-1848
关键词	Land data assimilation Soil moisture Ensemble kalman filter Sce-ua method Radiative transfer model Amsr-e
ISSN号	1006-9313
DOI	10.1007/s11430-009-0122-z
通讯作者	Xie zhenghui(zxie@lasg.iap.ac.cn)
英文摘要	This study presents a soil moisture assimilation scheme, which could assimilate microwave brightness temperature directly, based on the ensemble kalman filter and the shuffled complex evolution method (sce-ua). it uses the soil water model of the land surface model clm3.0 as the forecast operator, and a radiative transfer model (rtm) as the observation operator in the assimilation system. the assimilation scheme is implemented in two phases: the parameter calibration phase and the pure soil moisture assimilation phase. the vegetation optical thickness and surface roughness parameters in the rtm are calibrated by sce-ua method and the optimal parameters are used as the final model parameters of the observation operator in the assimilation phase. the ideal experiments with synthetic data indicate that this scheme could significantly improve the simulation of soil moisture at the surface layer. furthermore, the estimation of soil moisture in the deeper layers could also be improved to a certain extent. the real assimilation experiments with amsr-e brightness temperature at 10.65 ghz (vertical polarization) show that the root mean square error (rmse) of soil moisture in the top layer (0-10 cm) by assimilation is 0.03355 m(3). m(-3), which is reduced by 33.6% compared with that by simulation (0.05052 m(3). m(-3)). the mean rmse by assimilation for the deeper layers (10-50 cm) is also reduced by 20.9%. all these experiments demonstrate the reasonability of the assimilation scheme developed in this study.
WOS关键词	LAND DATA ASSIMILATION ; AMSR-E ; MODEL ; VEGETATION ; SYSTEM ; HETEROGENEITY ; SIMULATION ; EMISSION ; SCALE ; FIELD
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:000272033200014
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2394477
专题	中国科学院大学
通讯作者	Xie ZhengHui
作者单位	1.Chinese Acad Sci, Inst Atmospher Phys, ICCES LASG, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China 3.China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Jia BingHao,Xie ZhengHui,Tian XiangJun,et al. A soil moisture assimilation scheme based on the ensemble kalman filter using microwave brightness temperature[J]. Science in china series d-earth sciences,2009,52(11):1835-1848.
APA	Jia BingHao,Xie ZhengHui,Tian XiangJun,&Shi ChunXiang.(2009).A soil moisture assimilation scheme based on the ensemble kalman filter using microwave brightness temperature.Science in china series d-earth sciences,52(11),1835-1848.
MLA	Jia BingHao,et al."A soil moisture assimilation scheme based on the ensemble kalman filter using microwave brightness temperature".Science in china series d-earth sciences 52.11(2009):1835-1848.

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