干旱区生态环境知识资源中心(Arid): Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China

Arid

DOI	10.1007/s11269-020-02743-w
	Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China
	Wu, Zhiyong; Feng, Huihui; He, Hai; Zhou, Jianhong; Zhang, Yuliang
通讯作者	He, H (corresponding author), Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Peoples R China.
来源期刊	WATER RESOURCES MANAGEMENT
ISSN	0920-4741
EISSN	1573-1650
出版年	2021
卷号	35 期号:2 页码:629-643
英文摘要	Soil moisture (SM) is critical for various hydro-meteorological applications. Land surface models (LSMs) can produce global spatio-temporal continuous SM estimates. Recently, NASA and ECMWF released GLDAS-2.1 and ERA5-Land datasets, respectively, which contain newly produced LSM-based global SM products, and these have not been thoroughly evaluated in China. To better understand the two products, we decomposed them into SM climatology (i.e., mean seasonal cycle) and SM anomaly (i.e., short-term variability) components and evaluated them separately in China. In particular, the evaluation was conducted considering ground-based SM observations obtained from 1411 stations and two remotely sensed SM products. The following key results were obtained: (a) In the SM climatology evaluation, ERA5-Land showed a larger bias in (semi-) humid areas (0.06 m(3)/m(3) on an average), while GLDAS-2.1 was generally unbiased. GLDAS-2.1 showed higher temporal precision (temporal mean R = 0.47 [-]) than ERA5-Land (temporal mean R = 0.17 [-]) in northern arid areas, while ERA5-Land exhibited better performance (temporal mean R = 0.64 [-]) than GLDAS-2.1 (temporal mean R = 0.34 [-]) in southern humid areas. (b) For the SM anomaly evaluation, ERA5-Land and GLDAS-2.1 performed similarly, and ERA5-Land (temporal mean R = 0.45 [-]) marginally outperformed GLDAS-2.1 (temporal mean R = 0.40 [-]). (c) For the raw SM, GLDAS-2.1 and ERA5-Land had higher temporal precision in the northern and southern areas, respectively, which are mostly determined by their SM climatology. Our findings highlight the important role of SM climatology and provide an important reference for improving the aforementioned SM products.
英文关键词	Soil moisture ERA5-Land GLDAS-2 1 Triple collocation Climatology Anomaly
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000605111700001
WOS关键词	DATA ASSIMILATION ; PRODUCTS ; SMAP ; CALIBRATION
WOS类目	Engineering, Civil ; Water Resources
WOS研究方向	Engineering ; Water Resources
来源机构	河海大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348275
作者单位	[Wu, Zhiyong; Feng, Huihui; He, Hai; Zhou, Jianhong; Zhang, Yuliang] Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Peoples R China
推荐引用方式 GB/T 7714	Wu, Zhiyong,Feng, Huihui,He, Hai,et al. Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China[J]. 河海大学,2021,35(2):629-643.
APA	Wu, Zhiyong,Feng, Huihui,He, Hai,Zhou, Jianhong,&Zhang, Yuliang.(2021).Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China.WATER RESOURCES MANAGEMENT,35(2),629-643.
MLA	Wu, Zhiyong,et al."Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China".WATER RESOURCES MANAGEMENT 35.2(2021):629-643.