IGSNRR OpenIR
Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations
Li, Shijie1; Wang, Guojie1; Sun, Shanlei2; Chen, Haishan2; Bai, Peng3; Zhou, Shujia2; Huang, Yong4; Wang, Jie2; Deng, Peng2
2018-11-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:11Pages:28
Corresponding AuthorWang, Guojie(gwang@nuist.edu.cn)
AbstractAs 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.
Keywordevapotranspiration eddy covariance observations latent heat flux a stratification method multi-source China
DOI10.3390/rs10111692
WOS KeywordENERGY-BALANCE CLOSURE ; GLOBAL LAND-COVER ; WACMOS-ET PROJECT ; ERA-INTERIM ; DATA SETS ; PRECIPITATION PRODUCTS ; TERRESTRIAL ECOSYSTEMS ; MULTISCALE VALIDATION ; SURFACE EVAPORATION ; CANOPY EVAPORATION
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational 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
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000451733800023
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/51324
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Guojie
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Shijie]'s Articles
[Wang, Guojie]'s Articles
[Sun, Shanlei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Shijie]'s Articles
[Wang, Guojie]'s Articles
[Sun, Shanlei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Shijie]'s Articles
[Wang, Guojie]'s Articles
[Sun, Shanlei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.