Simulation and analysis of XCO2 in North China based on high accuracy surface modeling

doi:10.1007/s11356-018-2683-x

	Simulation and analysis of XCO2 in North China based on high accuracy surface modeling
	Liu, Yu 1,2; Yue, Tianxiang 1,2; Zhang, Lili 3; Zhao, Na 1,2; Zhao, Miaomiao 1,2; Liu, Yi 1,2
刊名	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
	2018-09-01
卷号	25 期号:27 页码:27378-27392
关键词	HASM WRF-CHEM GOSAT XCO2 XCO2 simulation
ISSN号	0944-1344
DOI	10.1007/s11356-018-2683-x
通讯作者	Yue, Tianxiang(yue@lreis.ac.cn)
英文摘要	As 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.
资助项目	National Natural Science Foundation of China[41590844] ; National Natural Science Foundation of China[41421001] ; Innovation Project of LREIS[O88RA600YA]
WOS关键词	DATA ASSIMILATION SYSTEM ; CARBON-DIOXIDE ; EAST-ASIA ; SATELLITE-OBSERVATIONS ; CO2 CONCENTRATION ; EMISSIONS ; SPACE
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000444202800061
资助机构	National Natural Science Foundation of China ; Innovation Project of LREIS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/52899]
专题	中国科学院地理科学与资源研究所
通讯作者	Yue, Tianxiang
作者单位	1.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
推荐引用方式 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.