气候变化领域集成服务门户(CCPortal): In-situ and triple-collocation based evaluations of eight global root zone soil moisture products

CCPortal

DOI	10.1016/j.rse.2020.112248
	In-situ and triple-collocation based evaluations of eight global root zone soil moisture products
	Xu L.; Chen N.; Zhang X.; Moradkhani H.; Zhang C.; Hu C.
发表日期	2021
ISSN	00344257
卷号	254
英文摘要	Root zone soil moisture (RZSM) is a vital variable for vegetation growth, drought monitoring and agricultural water management. Satellite remote sensing measures soil moisture at the surface layer, while RZSM is derived usually by model-based simulations. Here, we provide the first comprehensive evaluation of eight RZSM products at a global scale, including GLDAS NOAH, ERA-5, MERRA-2, NCEP R1, NCEP R2, JRA-55, SMAP level 4 and SMOS level 4 datasets. An in-situ validation based on the stations from the International Soil Moisture Network (ISMN) and a triple collocation (TC) evaluation are both conducted to assess the accuracy of these RZSM products. SMAP exhibits the median highest correlation and the median lowest RMSE with in-situ stations over North America. In the TC analysis, MERRA-2 shows the highest median correlation and the median lowest error standard deviation with the unknown truth, followed by GLDAS, SMAP, JRA-55 and ERA-5. A temporal pattern analysis indicates that SMOS has a dry bias relative to other datasets and NCEP R1 has larger seasonal variations relative to other datasets over Asia and North America. The TC analysis indicates that MERRA-2, SMAP, GLDAS, JRA-55, and ERA-5 have better performance relative to other datasets. SMAP is not as good as GLDAS, MERRA-2 and JRA-55 in RZSM estimation over forest areas. The possible factors influencing RZSM performance are discussed, including precipitation forcing, assimilated observations, radio frequency interference issue and validation methods. These results and conclusions may provide new insights for the improvement of model-based RZSM estimation. © 2020
英文关键词	ISMN; Root-zone soil moisture; Triple collocation; Validation
语种	英语
scopus关键词	Agricultural robots; Radio interference; Remote sensing; Water management; Agricultural water management; Comprehensive evaluation; Model-based simulations; Radio frequency interference; Root zone soil moistures; Satellite remote sensing; Soil moisture networks; Standard deviation; Soil moisture; accuracy assessment; growth rate; performance assessment; rhizosphere; satellite data; satellite imagery; seasonal variation; SMOS; soil moisture; surface layer; water management; Asia; North America
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179001
作者单位	State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China; Collaborative Innovation Center of Geospatial Technology, Wuhan, 430079, China; Center for Complex Hydrosystems Research, Department of Civil, Construction and Environmental Engineering, The University of Alabama, United States; Institute of Land Surface System and Sustainable Development, Beijing Normal University, Beijing, China; School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, 430074, China
推荐引用方式 GB/T 7714	Xu L.,Chen N.,Zhang X.,et al. In-situ and triple-collocation based evaluations of eight global root zone soil moisture products[J],2021,254.
APA	Xu L.,Chen N.,Zhang X.,Moradkhani H.,Zhang C.,&Hu C..(2021).In-situ and triple-collocation based evaluations of eight global root zone soil moisture products.Remote Sensing of Environment,254.
MLA	Xu L.,et al."In-situ and triple-collocation based evaluations of eight global root zone soil moisture products".Remote Sensing of Environment 254(2021).