IGSNRR OpenIR
Simulation and analysis of XCO2 in North China based on high accuracy surface modeling
Liu, Yu1,2; Yue, Tianxiang1,2; Zhang, Lili3; Zhao, Na1,2; Zhao, Miaomiao1,2; Liu, Yi1,2
2018-09-01
Source PublicationENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN0944-1344
Volume25Issue:27Pages:27378-27392
Corresponding AuthorYue, Tianxiang(yue@lreis.ac.cn)
AbstractAs an important cause of global warming, CO2 concentrations and their changes have aroused worldwide concern. Establishing explicit understanding of the spatial and temporal distributions of CO2 concentrations at regional scale is a crucial technical problem for climate change research. High accuracy surface modeling (HASM) is employed in this paper using the output of the CO2 concentrations from weather research and forecasting-chemistry (WRF-CHEM) as the driving fields, and the greenhouse gases observing satellite (GOSAT) retrieval XCO2 data as the accuracy control conditions to obtain high accuracy XCO2 fields. WRF-CHEM is an atmospheric chemical transport model designed for regional studies of CO2 concentrations. Verified by ground- and space-based observations, WRF-CHEM has a limited ability to simulate the conditions of CO2 concentrations. After conducting HASM, we obtain a higher accuracy distribution of the CO2 in North China than those calculated using the classical Kriging and inverse distance weighted (IDW) interpolation methods, which were often used in past studies. The cross-validation also shows that the averaging mean absolute error (MAE) of the results from HASM is 1.12 ppmv, and the averaging root mean square error (RMSE) is 1.41 ppmv, both of which are lower than those of the Kriging and IDW methods. This study also analyses the space-time distributions and variations of the XCO2 from the HASM results. This analysis shows that in February and March, there was the high value zone in the southern region of study area relating to heating in the winter and the dense population. The XCO2 concentration decreased by the end of the heating period and during the growing period of April and May, and only some relatively high value zones continued to exist.
KeywordHASM WRF-CHEM GOSAT XCO2 XCO2 simulation
DOI10.1007/s11356-018-2683-x
WOS KeywordDATA ASSIMILATION SYSTEM ; CARBON-DIOXIDE ; EAST-ASIA ; SATELLITE-OBSERVATIONS ; CO2 CONCENTRATION ; EMISSIONS ; SPACE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41590844] ; National Natural Science Foundation of China[41421001] ; Innovation Project of LREIS[O88RA600YA]
Funding OrganizationNational Natural Science Foundation of China ; Innovation Project of LREIS
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000444202800061
PublisherSPRINGER HEIDELBERG
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52900
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYue, Tianxiang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liu, Yu,Yue, Tianxiang,Zhang, Lili,et al. Simulation and analysis of XCO2 in North China based on high accuracy surface modeling[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2018,25(27):27378-27392.
APA Liu, Yu,Yue, Tianxiang,Zhang, Lili,Zhao, Na,Zhao, Miaomiao,&Liu, Yi.(2018).Simulation and analysis of XCO2 in North China based on high accuracy surface modeling.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,25(27),27378-27392.
MLA Liu, Yu,et al."Simulation and analysis of XCO2 in North China based on high accuracy surface modeling".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 25.27(2018):27378-27392.
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