Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations

doi:10.3390/rs10111692

	Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations
	Li, Shijie 1; Wang, Guojie 1; Sun, Shanlei 2; Chen, Haishan 2; Bai, Peng 3; Zhou, Shujia 2; Huang, Yong 4; Wang, Jie 2; Deng, Peng 2
刊名	REMOTE SENSING
	2018-11-01
卷号	10 期号:11 页码:28
关键词	evapotranspiration eddy covariance observations latent heat flux a stratification method multi-source China
ISSN号	2072-4292
DOI	10.3390/rs10111692
通讯作者	Wang, Guojie(gwang@nuist.edu.cn)
英文摘要	As an essential variable in linking water, carbon, and energy cycles, evapotranspiration (ET) is difficult to measure. Remote sensing, reanalysis, and land surface model-based ET products offer comprehensive alternatives at different spatio-temporal intervals, but their performance varies. In this study, we selected four popular ET global products: The Global Land Evaporation Amsterdam Model version 3.0a (GLEAM3.0a), the Modern Era Retrospective-Analysis for Research and Applications-Land (MERRA-Land) project, the Global Land Data Assimilation System version 2.0 with the Noah model (GLDAS2.0-Noah) and the EartH2Observe ensemble (EartH2Observe-En). Then, we comprehensively evaluated the performance of these products over China using a stratification method, six validation criteria, and high-quality eddy covariance (EC) measurements at 12 sites. The aim of this research was to provide important quantitative information to improve and apply the ET models and to inform choices about the appropriate ET product for specific applications. Results showed that, within one stratification, the performance of each ET product based on a certain criterion differed among classifications of this stratification. Furthermore, the optimal ET (OET) among these products was identified by comparing the magnitudes of each criterion. Results suggested that, given a criterion (a stratification classification), the OETs varied among stratification classifications (the selected six criteria). In short, no product consistently performed best, according to the selected validation criterion. Thus, multi-source ET datasets should be employed in future studies to enhance confidence in ET-related conclusions.
资助项目	National Key Research and Development Program of China[2017YFA0603701] ; Natural Science Foundation of China[41875094] ; Natural Science Foundation of China[41605042] ; Natural Science Foundation of China[41501029] ; Natural Science Foundation of Jiangsu Province, China[BK20151525] ; Natural Science Foundation of Jiangsu Province, China[BK20150922] ; Qinglan Project of Jiangsu Province of China ; Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions, China
WOS关键词	ENERGY-BALANCE CLOSURE ; GLOBAL LAND-COVER ; WACMOS-ET PROJECT ; ERA-INTERIM ; DATA SETS ; PRECIPITATION PRODUCTS ; TERRESTRIAL ECOSYSTEMS ; MULTISCALE VALIDATION ; SURFACE EVAPORATION ; CANOPY EVAPORATION
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000451733800023
资助机构	National Key Research and Development Program of China ; Natural Science Foundation of China ; Natural Science Foundation of Jiangsu Province, China ; Qinglan Project of Jiangsu Province of China ; Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions, China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/51323]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Guojie
作者单位	1.NUIST, Sch Geog Sci, Nanjing 210044, Jiangsu, Peoples R China 2.NUIST, Int Joint Res Lab Climate & Environm Change, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Key Lab Meteorol Disaster,Minist Educ, Nanjing 210044, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 4.Anhui Meteorol Bur, Anhui Prov Meteorol Sci Res Inst, Hefei 230031, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Li, Shijie,Wang, Guojie,Sun, Shanlei,et al. Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations[J]. REMOTE SENSING,2018,10(11):28.
APA	Li, Shijie.,Wang, Guojie.,Sun, Shanlei.,Chen, Haishan.,Bai, Peng.,...&Deng, Peng.(2018).Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations.REMOTE SENSING,10(11),28.
MLA	Li, Shijie,et al."Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations".REMOTE SENSING 10.11(2018):28.