干旱区生态环境知识资源中心(Arid): A Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics

Arid

DOI	10.1175/JHM-D-19-0035.1
	A Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics
	Wang, Aihui 1; Shi, Xueli 2
通讯作者	Wang, Aihui
来源期刊	JOURNAL OF HYDROMETEOROLOGY
ISSN	1525-755X
EISSN	1525-7541
出版年	2019
卷号	20 期号:8 页码:1721-1736
英文摘要	Based on the gravimetric-technique-measured soil relative wetness and the observed soil characteristic parameters from 1992 to 2013 in China, this study derives a user-convenient monthly volumetric soil moisture (SM) dataset from 732 stations for five soil layers (10, 20, 50, 70, and 100 cm). The temporal-spatial variations in SM and its relationship with precipitation (Pr) in different subregions are then explored. The magnitude of SM is relatively large in south China and is low in northwest China, and it generally increases with soil depth in each region. The maximum SM appears in spring and/or autumn and the minimum in summer, and the SM seasonality does not vary as distinctly as that of Pr. For the top three soil layers (10-, 20-, and 50-cm levels), the linear trend analysis indicates an overall increasing SM tendency, and the mean trends (averaged across stations with trends passing a 95% significance level test) are 9.35 x 10(-7), 7.37 x 10(-3), and 2.45 x 10(-3) cm(3) cm(-3) yr(-1), respectively. SM memory depends on the soil depth and regions, and it has longer retention time in the deeper layers. Furthermore, the correlation between SM and antecedent Pr varies with soil depth and lag time. The antecedent Pr anomaly (1 or 2 months in advance) can be used to some extent as a surrogate SM anomaly in most regions except for in arid regions. This result is further demonstrated by the relationships between the SM anomaly and the standardized precipitation index. The current SM dataset can be used in various applications, such as validating satellite-retrieved products and model outputs.
英文关键词	Climate records Data processing Databases Measurements Surface observations
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000480583100002
WOS关键词	LAND-SURFACE ; TIME SCALES ; HOT DAYS ; CLIMATE ; VARIABILITY ; MODEL ; TEMPERATURES ; SIMULATIONS ; DROUGHT ; NETWORK
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
来源机构	中国科学院大气物理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217192
作者单位	1.Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China; 2.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Aihui,Shi, Xueli. A Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics[J]. 中国科学院大气物理研究所,2019,20(8):1721-1736.
APA	Wang, Aihui,&Shi, Xueli.(2019).A Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics.JOURNAL OF HYDROMETEOROLOGY,20(8),1721-1736.
MLA	Wang, Aihui,et al."A Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics".JOURNAL OF HYDROMETEOROLOGY 20.8(2019):1721-1736.