干旱区生态环境知识资源中心(Arid): Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model

Arid

DOI	10.3389/fenvs.2023.1164895
	Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model
	Wang, Meijun; Yin, Gang; Mao, Min; Zhang, Hao; Zhang, Hua; Hu, Zengyun; Chen, Xi
通讯作者	Hu, ZY ; Chen, X
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
EISSN	2296-665X
出版年	2023
卷号	11
英文摘要	Soil moisture is an important factor affecting the change of land surface hydrological processes and the distribution of material and energy exchanges between the land and atmosphere and vegetation's temporal and spatial distributions, especially in arid and semi-arid regions. This paper focuses on soil moisture features across Northwest China, the core region of the Silk Road Economic Belt. Six soil moisture datasets from the period 1981-2020 were employed, which included ERA5 (the European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis 5), ESA-CCI (European Space Agency Climate Change Initiative), GLDAS (Global Land Data Assimilation System), MERRA-2 (The Modern-Era Retrospective Analysis for Research and Applications, Version 2), RSSSM (A Remote Sensing-based global 10-day resolution Surface Soil Moisture dataset), and SSM-Feng (Regional multimodal fusion of surface soil moisture data in China). The temporal and spatial variation of the linear trend and abrupt change characteristics at seasonal and annual scale were explored. The results are as follows: 1) ESA-CCI, GLDAS, and MERRA-2 showed a slow increase in annual soil moisture tendency at a rate of less than 0.001 m(3)/m(3)/year, while ERA5 and SSM-Feng showed a significant decreasing linear trend at a rate of 1.31 x 10(-4) m(3)/m(3)/year and 1.01 x 10(-4) m(3)/m(3)/year (p < 0.05), respectively. 2) In autumn and winter, only GLDAS and MERRA-2 showed significant increasing trends. In the growing season (i.e., from April to October), the soil moisture of ESA-CCI, GLDAS, and MERRA-2 significantly increased at the rates of 3.29 x 10(-4) m(3)/m(3)/year, 3.30 x 10(-4) m(3)/m(3)/year, and 6.64 x 10(-4) m(3)/m(3)/year (p < 0.05), respectively. 3) ERA5 and ESA-CCI have frequent abrupt changes in 1984, 1987, and 2006 for ERA5, 2010-2012 and 2019-2020 for ESA-CCI. 4) In terms of spatial variations, most datasets show that soil moisture has increased across most regions. The ERA5, ESA-CCI, GLDAS, MERRA-2, and SSM-Feng datasets show decreased soil moisture in the Tarim Basin. The conclusions of this study deepen the understanding of temporal and spatial variation in soil moisture in arid areas of Northwest China. Through these conclusions, a certain theoretical basis can be provided for the complex water cycle process in the arid region.
英文关键词	soil moisture microwave remote sensing data lobal hydrological model reanalysis data spatiotemporal characteristics
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000968445600001
WOS关键词	SURFACE ; CLIMATE ; REGIONS ; PART
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396516
推荐引用方式 GB/T 7714	Wang, Meijun,Yin, Gang,Mao, Min,et al. Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model[J],2023,11.
APA	Wang, Meijun.,Yin, Gang.,Mao, Min.,Zhang, Hao.,Zhang, Hua.,...&Chen, Xi.(2023).Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model.FRONTIERS IN ENVIRONMENTAL SCIENCE,11.
MLA	Wang, Meijun,et al."Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model".FRONTIERS IN ENVIRONMENTAL SCIENCE 11(2023).