气候变化领域集成服务门户(CCPortal): Validation of a Dual-Pass Microwave Land Data Assimilation System for Estimating Surface Soil Moisture in Semiarid Regions

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DOI	10.1175/2008JHM1065.1
	Validation of a Dual-Pass Microwave Land Data Assimilation System for Estimating Surface Soil Moisture in Semiarid Regions
	Yang, Kun; Koike, Toshio; Kaihotsu, Ichirow; Qin, Jun
通讯作者	Yang, K (通讯作者)
发表日期	2009
ISSN	1525-755X
EISSN	1525-7541
起始页码	780
结束页码	793
卷号	10 期号:3
英文摘要	This study examines the capability of a new microwave land data assimilation system (LDAS) for estimating soil moisture in semiarid regions, where soil moisture is very heterogeneous. This system assimilates the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) 6.9- and 18.7-GHz brightness temperatures into a land surface model (LSM), with a radiative transfer model as an observation operator. To reduce errors caused by uncertainties of system parameters, the LDAS uses a dual-pass assimilation algorithm, with a calibration pass to estimate major model parameters from satellite data and an assimilation pass to estimate the near-surface soil moisture. Validation data of soil moisture were collected in a Mongolian semiarid region. Results show that (i) the LDAS-estimated soil moistures are comparable to areal averages of in situ measurements, though the measured soil moistures were highly variable from site to site; (ii) the LSM-simulated soil moistures show less biases when the LSM uses LDAS-calibrated parameter values instead of default parameter values, indicating that the satellite-based calibration does contribute to soil moisture estimations; and (iii) compared to the LSM, the LDAS produces more robust and reliable soil moisture when forcing data become worse. The lower sensitivity of the LDAS output to precipitation is particularly encouraging for applying this system to regions where precipitation data are prone to errors.
关键词	REMOTE-SENSING DATA AMSR-E MODEL RETRIEVAL RADIOBRIGHTNESS VEGETATION ROUGHNESS PARAMETERIZATION HETEROGENEITY TEMPERATURE
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000267420900012
来源期刊	JOURNAL OF HYDROMETEOROLOGY
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/257676
推荐引用方式 GB/T 7714	Yang, Kun,Koike, Toshio,Kaihotsu, Ichirow,et al. Validation of a Dual-Pass Microwave Land Data Assimilation System for Estimating Surface Soil Moisture in Semiarid Regions[J]. 中国科学院青藏高原研究所,2009,10(3).
APA	Yang, Kun,Koike, Toshio,Kaihotsu, Ichirow,&Qin, Jun.(2009).Validation of a Dual-Pass Microwave Land Data Assimilation System for Estimating Surface Soil Moisture in Semiarid Regions.JOURNAL OF HYDROMETEOROLOGY,10(3).
MLA	Yang, Kun,et al."Validation of a Dual-Pass Microwave Land Data Assimilation System for Estimating Surface Soil Moisture in Semiarid Regions".JOURNAL OF HYDROMETEOROLOGY 10.3(2009).