气候变化领域集成服务门户(CCPortal): The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau

CCPortal

DOI	10.1016/j.rse.2014.07.005
	The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau
	Zhao, Long; Yang, Kun; Qin, Jun; Chen, Yingying; Tang, Wenjun; Lu, Hui; Yang, Zong-Liang
通讯作者	Zhao, L (通讯作者)
发表日期	2014
ISSN	0034-4257
EISSN	1879-0704
起始页码	345
结束页码	355
卷号	152
英文摘要	This study evaluates SMOS (soil moisture and ocean salinity) soil moisture products against a newly established soil moisture network in the central Tibetan Plateau. Based on the results, the validity of assimilating the SMOS soil moisture retrievals into a land surface model is further evaluated. The ground truth is obtained by spatial upscaling from the network measurements within an area of approximately 10,000 km(2). Results show that both SMOS L2 and the preliminary version of L3 soil moisture products have large biases at the SMOS node scales (15 and 25 km), but they can reflect the surface wetness conditions well when averaged at a 100-km scale during the unfrozen season (June to October). This finding indicates the applicability of SMOS retrievals is scale-dependent. Meanwhile, very few retrievals are available in winter due to the presence of frozen soil and snow cover, and the accuracy of ascending retrievals degrades during transition when diurnal freezing-thawing cycle occurs. Considering the SMOS L2 product has a better accuracy than that of 13, we assimilate it into a land surface model using a dual-pass land data assimilation scheme. The data assimilation estimate without insitu tuning proves superior to either remote sensing or land surface modeling in estimating surface soil moisture for the unfrozen season, and its accuracy fulfills the SMOS measurement requirements (RMSD <= 0.04 m(3) m(-3)). Thus, the assimilation of SMOS retrievals holds promise to produce regional soil moisture dataset with acceptable accuracy for the Tibetan Plateau semi-arid region. (C) 2014 Elsevier Inc. All rights reserved.
关键词	AMSR-E PARAMETER-ESTIMATION SURFACE MODEL VALIDATION NETWORK RETRIEVAL PRODUCTS SYSTEM SATELLITE PROJECT
英文关键词	SMOS; Soil moisture; Scale-dependence; Land data assimilation; Ground truth; Tibetan Plateau
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000343392200027
来源期刊	REMOTE SENSING OF ENVIRONMENT
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/258370
推荐引用方式 GB/T 7714	Zhao, Long,Yang, Kun,Qin, Jun,et al. The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau[J]. 中国科学院青藏高原研究所,2014,152.
APA	Zhao, Long.,Yang, Kun.,Qin, Jun.,Chen, Yingying.,Tang, Wenjun.,...&Yang, Zong-Liang.(2014).The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau.REMOTE SENSING OF ENVIRONMENT,152.
MLA	Zhao, Long,et al."The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau".REMOTE SENSING OF ENVIRONMENT 152(2014).