中国科学院机构知识库网格系统: Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling

Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling

文献类型：期刊论文


作者	Zhao Mingwei 1; Yue Tianxiang2 ; Zhang Xingying 3; Sun Jinglu 4; Jiang Ling 1; Wang Chun 1
刊名	ATMOSPHERIC POLLUTION RESEARCH
出版日期	2017-11-01
卷号	8 期号:6 页码:1170-1178
ISSN号	1309-1042
关键词	HASM-DF GEOS-Chem Near-surface CO2 concentration Accuracy
DOI	10.1016/j.apr.2017.05.003
通讯作者	Zhao Mingwei(zhaomw@lreis.ac.cn)
英文摘要	Under the background of growing greenhouse gas emissions and the resulting global warming, researches about the spatial-temporal variation analysis of the concentration of carbon dioxide in the regional and global scale has become one of the most important topics in the scientific community. Simulating and analyzing the spatial-temporal variation of the carbon dioxide concentration on a global scale under limited observation data has become one of the key problems to be solved in the research field of spatial analysis technology. A new research approach based on high accuracy surface modeling data fusion (HASM-DF) method was proposed in this paper, in which the output of the CO2 concentration of the GEOS-Chem model were taken as driving field, and the observation values of CO2 concentration at ground observation station were taken as accuracy control conditions. The new approach's objective is to fulfill the fusion of the two kinds of CO2 data, and obtain the distribution of CO2 on a global scale with a higher accuracy than the results of GEOS-Chem. Root mean square error (RMSE) was chosen as the basic accuracy index, and the experimental analysis shows that the RMSE of the result of the proposed approach is 1.886 ppm, which is significantly lower than that of the GEOS-Chem's 2.239 ppm. Furthermore, compared with the results created by the interpolation methods used the observation values at stations; the fusion results keep a good spatial heterogeneity similar to the results of GEOS-Chem. This research analyzed the spatial distribution and time series variation of the near-surface CO2 based on the fusion result on a global scale. And it can found that areas such as East Asia, Western North American, Central South America and Central Africa and other region show a relatively high value of the near-surface CO2 concentration. And we also found that the near-surface CO2 concentration changes with season, especially in North America and Eurasia, the near-surface CO2 in summer was significantly lower than winter in these areas. (C) 2017 Turkish National Committee for Air Pollution Research and Control. Production and hosting by Elsevier B.V. All rights reserved.
WOS关键词	CARBON-DIOXIDE EXCHANGE ; SEASONAL-VARIATION ; EAST-ASIA ; SPATIAL-DISTRIBUTION ; ATMOSPHERIC CO2 ; SATELLITE ; CHEMISTRY ; FLUXES ; SPACE ; CHINA
资助项目	Ministry of Science and Technology of the People's Republic of China[2013AA122003] ; Ministry of Science and Technology of the People's Republic of China[2011AA12A104-3] ; Ministry of Science and Technology of the People's Republic of China[2013FY111600-4] ; Chuzhou University[2015QD08] ; Key Project of Natural Science Research of Anhui Provincial Department of Education[KJ2016A536] ; Key Project of Natural Science Research of Anhui Provincial Department of Education[KJ2015A171] ; Key Program of National Natural Science of China[91325204] ; European Commission's Seventh Framework ProgrammePANDA[FP7-SPACE-2013-1] ; Public industry-specific fund for meteorology[GYHY201106045]
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP
WOS记录号	WOS:000417392800017
资助机构	Ministry of Science and Technology of the People's Republic of China ; Chuzhou University ; Key Project of Natural Science Research of Anhui Provincial Department of Education ; Key Program of National Natural Science of China ; European Commission's Seventh Framework ProgrammePANDA ; Public industry-specific fund for meteorology
源URL	[http://ir.igsnrr.ac.cn/handle/311030/60785]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhao Mingwei
作者单位	1.Chuzhou Univ, Anhui Ctr Collaborat Innovat Geog Informat Integr, Chuzhou 239000, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China 4.Anhui Inst Econ, Hefei 230051, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Zhao Mingwei,Yue Tianxiang,Zhang Xingying,et al. Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling[J]. ATMOSPHERIC POLLUTION RESEARCH,2017,8(6):1170-1178.
APA	Zhao Mingwei,Yue Tianxiang,Zhang Xingying,Sun Jinglu,Jiang Ling,&Wang Chun.(2017).Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling.ATMOSPHERIC POLLUTION RESEARCH,8(6),1170-1178.
MLA	Zhao Mingwei,et al."Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling".ATMOSPHERIC POLLUTION RESEARCH 8.6(2017):1170-1178.

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来源：地理科学与资源研究所

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Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling

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