气候变化领域集成服务门户(CCPortal): Development of the Coupled Atmosphere and Land Data Assimilation System (CALDAS) and Its Application Over the Tibetan Plateau

CCPortal

DOI	10.1109/TGRS.2012.2190517
	Development of the Coupled Atmosphere and Land Data Assimilation System (CALDAS) and Its Application Over the Tibetan Plateau
	Rasmy, Mohamed; Koike, Toshio; Kuria, David; Mirza, Cyrus Raza; Li, Xin; Yang, Kun
通讯作者	Rasmy, M (通讯作者)
发表日期	2012
ISSN	0196-2892
EISSN	1558-0644
起始页码	4227
结束页码	4242
卷号	50 期号:11
英文摘要	Land surface heterogeneities are important for accurate estimation of land-atmosphere interactions and their feedbacks on water and energy budgets. To physically introduce existing land surface heterogeneities into a mesoscale model, a land data assimilation system was coupled with a mesoscale model (LDAS-A) to assimilate low-frequency satellite microwave observations for soil moisture and the combined system was applied in the Tibetan Plateau. Though the assimilated soil moisture distribution showed high correlation with Advanced Microwave Scanning Radiometer on the Earth Observing System soil moisture retrievals, the assimilated land surface conditions suffered substantial errors and drifts owing to predicted model forcings (i.e., solar radiation and rainfall). To overcome this operational pitfall, the Coupled Land and Atmosphere Data Assimilation System (CALDAS) was developed by coupling the LDAS-A with a cloud microphysics data assimilation. CALDAS assimilated lower frequency microwave data to improve representation of land surface conditions, and merged them with higher frequency microwave data to improve the representation of atmospheric conditions over land surfaces. The simulation results showed that CALDAS effectively assimilated atmospheric information contained in higher frequency microwave data and significantly improved correlation of cloud distribution compared with satellite observation. CALDAS also improved biases in cloud conditions and associated rainfall events, which contaminated land surface conditions in LDAS-A. Improvements in predicted clouds resulted in better land surface model forcings (i.e., solar radiation and rainfall), which maintained assimilated surface conditions in accordance with observed conditions during the model forecast. Improvements in both atmospheric forcings and land surface conditions enhanced land-atmosphere interactions in the CALDAS model, as confirmed by radiosonde observations.
关键词	LIQUID WATER PATH SOIL-MOISTURE VARIATIONAL ASSIMILATION SURFACE PARAMETERIZATION WET SOIL PART I MODEL SIMULATION RETRIEVAL EMISSION
英文关键词	Cloud data assimilation; land-atmosphere interactions; land data assimilation (LDAS); microwave remote sensing; numerical weather prediction (NWP)
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000310888000001
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258031
推荐引用方式 GB/T 7714	Rasmy, Mohamed,Koike, Toshio,Kuria, David,et al. Development of the Coupled Atmosphere and Land Data Assimilation System (CALDAS) and Its Application Over the Tibetan Plateau[J]. 中国科学院青藏高原研究所,2012,50(11).
APA	Rasmy, Mohamed,Koike, Toshio,Kuria, David,Mirza, Cyrus Raza,Li, Xin,&Yang, Kun.(2012).Development of the Coupled Atmosphere and Land Data Assimilation System (CALDAS) and Its Application Over the Tibetan Plateau.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,50(11).
MLA	Rasmy, Mohamed,et al."Development of the Coupled Atmosphere and Land Data Assimilation System (CALDAS) and Its Application Over the Tibetan Plateau".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 50.11(2012).