Arid
DOI10.1007/s11430-018-9377-7
Specific patterns of XCO2 observed by GOSAT during 2009-2016 and assessed with model simulations over China
Bie, Nian1,2; Lei, Liping1; He, Zhonghua1,2; Zeng, Zhaocheng3; Liu, Liangyun1; Zhang, Bing1; Cai, Bofeng4
通讯作者Lei, Liping
来源期刊SCIENCE CHINA-EARTH SCIENCES
ISSN1674-7313
EISSN1869-1897
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 CO2 (XCO2) 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 XCO2 dataset (2009-2016) derived from the Greenhouse gases Observing SATellite (GOSAT). XCO2 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 XCO2 spatial distribution is nearly zero in summer but up to 0.32 in autumn. Secondly, on average, XCO2 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 XCO2 time series is in better agreement with the GEOS-Chem simulation of XCO2 in the Taklimakan Desert region (the least difference with bias 0.65 +/- 0.78 ppm), compared with the northern urban agglomeration region (-1.3 +/- 1.2 ppm) and the northeastern forest region (-1.4 +/- 1.4 ppm). The results are likely attributable to uncertainty in both the satellite-retrieved XCO2 data and the model simulation data.
英文关键词GEOS-Chem GOSAT OCO-2 Specific pattern XCO2
类型Article
语种英语
国家Peoples R China ; USA
收录类别SCI-E
WOS记录号WOS:000515172700004
WOS关键词ATMOSPHERIC CARBON-DIOXIDE ; CO2 RETRIEVAL ALGORITHM ; SEASONAL CYCLE ; TOTAL COLUMNS ; EMISSIONS ; PERFORMANCE ; SCIAMACHY
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/315484
作者单位1.Inst Remote Sensing, Chinese Acad Sciences, Key Lab Digital Earth Sci, Digital Earth, Beijing, Beijing, Peoples R China;
2.Univ Chinese Acad Sciences, Beijing, Beijing, Peoples R China;
3.CALTECH, Div Geol, Planetary Sciences, Pasadena, CA 91125 USA;
4.Chinese Acad Environm Planning, Ctr Climate Change, Environm Policy, Minist Environm Protect, Beijing, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Bie, Nian,Lei, Liping,He, Zhonghua,et al. Specific patterns of XCO2 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 XCO2 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 XCO2 observed by GOSAT during 2009-2016 and assessed with model simulations over China".SCIENCE CHINA-EARTH SCIENCES 63.3(2020):384-394.
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