干旱区生态环境知识资源中心(Arid): Specific patterns of XCO_2 observed by GOSAT during 2009-2016 and assessed with model simulations over China

Arid

	Specific patterns of XCO_2 observed by GOSAT during 2009-2016 and assessed with model simulations over China
	Bie Nian; Lei Liping; He Zhonghua; Zeng Zhaocheng; Liu Liangyun; Zhang Bing; Cai Bofeng
来源期刊	Science China. Earth Sciences
ISSN	1674-7313
出版年	2020
卷号	63 期号:3 页码:384-394
英文摘要	Spatiotemporal patterns of column-averaged dry air mole fraction of CO_2 (XCO_2) have not been well characterized on a regional scale due to limitations in data availability and precision. This paper addresses these issues by examining such patterns in China using the long-term mapping XCO_2 dataset (2009-2016) derived from the Greenhouse gases Observing SATellite (GOSAT). XCO_2 simulations are also constructed using the high-resolution nested-grid GEOS-Chem model. The following results are found: Firstly, the correlation coefficient between the anthropogenic emissions and XCO_2 spatial distribution is nearly zero in summer but up to 0.32 in autumn. Secondly, on average, XCO_2 increases by 2.08 ppm every year from 2010 to 2015, with a sharp increase of 2.6 ppm in 2013. Lastly, in the analysis of three typical regions, the GOSAT XCO_2 time series is in better agreement with the GEOS-Chem simulation of XCO_2 in the Taklimakan Desert region (the least difference with bias 0.650.78 ppm), compared with the northern urban agglomeration region (-1.31.2 ppm) and the northeastern forest region (-1.41.4 ppm). The results are likely attributable to uncertainty in both the satellite-retrieved XCO_2 data and the model simulation data.
英文关键词	GEOS-Chem GOSAT OCO-2 Specific pattern XCO_2
类型	Article
语种	英语
收录类别	CSCD
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:6691345
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336267
作者单位	Bie Nian, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences;;University of Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences;;, ;;, Beijing;;Beijing 100094;;100049.; He Zhonghua, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences;;University of Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences;;, ;;, Beijing;;Beijing 100094;;100049.; Lei Liping, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing 100094, China.; Liu Liangyun, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing 100094, China.; Zhang Bing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing 100094,...
推荐引用方式 GB/T 7714	Bie Nian,Lei Liping,He Zhonghua,et al. Specific patterns of XCO_2 observed by GOSAT during 2009-2016 and assessed with model simulations over China[J],2020,63(3):384-394.
APA	Bie Nian.,Lei Liping.,He Zhonghua.,Zeng Zhaocheng.,Liu Liangyun.,...&Cai Bofeng.(2020).Specific patterns of XCO_2 observed by GOSAT during 2009-2016 and assessed with model simulations over China.Science China. Earth Sciences,63(3),384-394.
MLA	Bie Nian,et al."Specific patterns of XCO_2 observed by GOSAT during 2009-2016 and assessed with model simulations over China".Science China. Earth Sciences 63.3(2020):384-394.