气候变化领域集成服务门户(CCPortal): Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture

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DOI	10.1016/j.jhydrol.2015.01.061
	Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture
	Qin, Jun; Zhao, Long; Chen, Yingying; Yang, Kun; Yang, Yaping; Chen, Zhuoqi; Lu, Hui
通讯作者	Qin, J (通讯作者)
发表日期	2015
ISSN	0022-1694
EISSN	1879-2707
起始页码	170
结束页码	178
卷号	523
英文摘要	Soil moisture is a key factor in energy and water cycles. Many satellite missions have been planned and implemented for retrieving soil moisture globally. Because the spatial representativeness of a point-scale soil moisture station is rather limited, a station network needs setting up for scale-matching validation of satellite-based soil moisture products. Even so, an upscaling procedure is needed to upscale these station soil moisture values into area-wide one. However, such a procedure itself introduces uncertainties into the upscaled soil moisture. In this study, four upscaling methods (simple average, block kriging, model-based, and apparent-thermal-inertia-based) are inter-compared according to their performance stability for evaluation of soil moisture estimated by assimilating microwave signals into a land surface model. It is found that the performance of the model-based upscaling approach is the most unstable because model simulations are full of uncertainties for representing spatial variability of soil moisture. The block kriging upscaling method performs not worse than the simple averaging approach; the former may generate more representative soil moisture if the range of the soil moisture semivariogram used in the block kriging is comparable to the extent of a satellite footprint. The apparent-thermal-inertia-based upscaling is the most stable one, which has been developed with the aid of high-resolution satellite thermal data. All analyses indicate that choosing a suitable upscaling approach is important for the effective evaluation of satellite-based soil moisture. Otherwise, uncertainties hiding in the upscaling method will be incorrectly attributed to errors in satellite products, undermining our confidence in implementing them into practice. (C) 2015 Elsevier B.V. All rights reserved.
关键词	LAND DATA ASSIMILATION SURFACE MODEL VALIDATION RETRIEVAL NETWORKS
英文关键词	Satellite; Soil moisture; Evaluation; Upscaling; MODIS
语种	英语
WOS研究方向	Engineering ; Geology ; Water Resources
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS记录号	WOS:000351971700016
来源期刊	JOURNAL OF HYDROLOGY
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/258531
推荐引用方式 GB/T 7714	Qin, Jun,Zhao, Long,Chen, Yingying,et al. Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture[J]. 中国科学院青藏高原研究所,2015,523.
APA	Qin, Jun.,Zhao, Long.,Chen, Yingying.,Yang, Kun.,Yang, Yaping.,...&Lu, Hui.(2015).Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture.JOURNAL OF HYDROLOGY,523.
MLA	Qin, Jun,et al."Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture".JOURNAL OF HYDROLOGY 523(2015).