干旱区生态环境知识资源中心(Arid): Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations

Arid

DOI	10.1002/hyp.13636
	Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations
	Deng, Yuanhong 1,2,3; Wang, Shijie1,3 ; Bai, Xiaoyong 1,3; Wu, Luhua 1,2,3; Cao, Yue 1,2,3; Li, Huiwen 1,2,3; Wang, Mingming 1,2,3; Li, Chaojun 1,3,4; Yang, Yujie 1,3,4; Hu, Zeyin 1,2,3; Tian, Shiqi 1,3,4; Lu, Qian 1,3,5
通讯作者	Bai, Xiaoyong
来源期刊	HYDROLOGICAL PROCESSES
ISSN	0885-6087
EISSN	1099-1085
出版年	2020
卷号	34 期号:3 页码:836-851
英文摘要	High-quality soil moisture (SM) datasets are in great demand for climate, hydrology, and other fields, but detailed evaluation of SM products from various sources is scarce. Thus, using 670 SM stations worldwide, we evaluated and compared SM products from microwave remote sensing [Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) (C- and X-bands) and European Space Agency's Climate Change Initiative (ESA CCI)], land surface model [Global Land Data Assimilation System (GLDAS)], and reanalysis data [ECMWF Re-Analysis-Interim (ERA-Interim) and National Centers for Environmental Prediction (NCEP)] under different time scales and various climates and land covers. We find that: (a) ESA CCI and GLDAS have the closest values to the in situ SM on the annual scale, whereas others overestimate the SM; ERA-Interim (averaged R = 0.58) and ESA CCI (averaged R = 0.54) correlate best with the in situ data, while GLDAS performs worst. (b) Overall, the deviations of each product vary in seasons. ESA CCI and ERA-Interim products are closer to the in situ SM at seasonal scales, and AMSR-E and NCEP perform worst in December-February and June-August, respectively. (c) Except for NCEP and ERA-Interim, others can well reflect the intermonthly variation of the in situ SM. (d) Under various climates and land covers, AMSR-E products are less effective in cold climates, whereas GLDAS and NCEP products perform poorly in arid or temperate and dry climates. Moreover, the Bias and R of each SM product differ obviously under different forest types, especially the AMSR-E products. In summary, SM from ESA CCI is the best, followed by ERA-Interim product, and precipitation is an important auxiliary data for selecting high-quality SM stations and improving the accuracy of SM from GLDAS. These results can provide a reference for improving the accuracy of the above SM products.
英文关键词	ESA CCI GLDAS global land cover precipitation remote sensing soil moisture
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000500522100001
WOS关键词	AMSR-E ; DATA ASSIMILATION ; IN-SITU ; TIBETAN PLATEAU ; RETRIEVAL ; VALIDATION ; IMPACT ; ASCAT ; PRECIPITATION ; PERFORMANCE
WOS类目	Water Resources
WOS研究方向	Water Resources
EI主题词	2019-12-02
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311475
作者单位	1.Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, 99 Lincheng West Rd, Guiyang 550081, Guizhou, Peoples R China; 2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China; 3.Chinese Acad Sci, Puding Karst Ecosyst Observat & Res Stn, Anshun, Peoples R China; 4.Guizhou Normal Univ, Sch Geog & Environm Sci, Guiyang, Guizhou, Peoples R China; 5.Guizhou Univ, Coll Resource & Environm, Guiyang, Guizhou, Peoples R China
推荐引用方式 GB/T 7714	Deng, Yuanhong,Wang, Shijie,Bai, Xiaoyong,et al. Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations[J],2020,34(3):836-851.
APA	Deng, Yuanhong.,Wang, Shijie.,Bai, Xiaoyong.,Wu, Luhua.,Cao, Yue.,...&Lu, Qian.(2020).Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations.HYDROLOGICAL PROCESSES,34(3),836-851.
MLA	Deng, Yuanhong,et al."Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations".HYDROLOGICAL PROCESSES 34.3(2020):836-851.