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A comparison of satellite observations with the XCO2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs
Zhang, Li Li1,2,3; Yue, Tian Xiang1,2; Wilson, John P.1,2,4; Zhao, Na1,2; Zhao, Ya Peng5; Du, Zheng Ping1,2; Liu, Yu1,2
2017-12-01
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume601Pages:1575-1590
Corresponding AuthorYue, Tian Xiang(yue@lreis.ac.cn)
AbstractGround observations can capture CO2 concentrations accurately but the number of available TCCON (Total Carbon Column Observing Network) sites is too small to support a comprehensive analysis (i.e. validation) of satellite observations. Atmospheric transport models can provide continuous atmospheric CO2 concentrations in space and time, but some information is difficult to generate with model simulations. The HASM platform can model continuous column-averaged CO2 dry air mole fraction (XCO2) surface taking TCCON observations as its optimum control constraints and an atmospheric transport model as its driving field. This article presents a comparison of the satellite observations with a HASM XCO2 surface obtained by fusing TCCON measurements with GEOS-Chem model results. We first verified the accuracy of the HASM XCO2 surface using six years (2010-2015) of TCCON observations and the GEOS-Chem model XCO2 results. The validation results show that the largest MAE of bias between the HASM results and observations was 0.85 ppm and the smallest MAE was only 0.39 ppm. Next, we modeled the HASM XCO2 surface by fusing the TCCON measurements and GEOS-Chem XCO2 model results for the period 9/1/14 to 8/31/15. Finally, we compared the GOSAT and OCO-2 observations with the HASM XCO2 surface and found that the global OCO-2 XCO2 estimates more closely resembled the HASM XCO2 surface than the GOSAT XCO2 estimates. (C) 2017 Elsevier B.V. All rights reserved.
KeywordXCO2 evaluation HASM method GEOS-Chem model TCCON observations Satellites observations
DOI10.1016/j.scitotenv.2017.06.018
WOS KeywordGASES OBSERVING SATELLITE ; CO2 RETRIEVAL ALGORITHM ; TRANSPORT MODEL ; CARBON ; SPECTROMETER ; VALIDATION ; SCIAMACHY ; MISSION ; SPACE ; GOSAT
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[91325204] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41590844] ; Land Resources and Environmental Information System (LREIS)[O88RA600YA]
Funding OrganizationNational Natural Science Foundation of China ; Land Resources and Environmental Information System (LREIS)
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000406294900154
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/61308
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYue, Tian Xiang
Affiliation1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
4.Univ Southern Calif, Spatial Sci Inst, Dana & David Dornsife Coll Letters Arts & Sci, Los Angeles, CA 90089 USA
5.Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Li Li,Yue, Tian Xiang,Wilson, John P.,et al. A comparison of satellite observations with the XCO2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2017,601:1575-1590.
APA Zhang, Li Li.,Yue, Tian Xiang.,Wilson, John P..,Zhao, Na.,Zhao, Ya Peng.,...&Liu, Yu.(2017).A comparison of satellite observations with the XCO2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs.SCIENCE OF THE TOTAL ENVIRONMENT,601,1575-1590.
MLA Zhang, Li Li,et al."A comparison of satellite observations with the XCO2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs".SCIENCE OF THE TOTAL ENVIRONMENT 601(2017):1575-1590.
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