Specific patterns of XC02 observed by GOSAT during 2009-2016and assessed with model simulations over China  

作　　者：Nian BIE Liping LEI Zhonghua HE Zhaocheng ZENG Liangyun LIU Bing ZHANG Bofeng CAI 

机构地区：[1]Key Laboratory of Digital Earth Science,Institute ofRemote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China [2]University of Chinese Academy of Sciences,Beijing 100094,China [3]Division of Geological and Planetary Sciences,California Institute of Technology,Pasadena CA91125,USA [4]The Center for Climate Change and Environmental Policy,Chinese Academy for Environmental Planning,Ministry of Environmental Protection,Beijing 100012,China

出　　处：《Science China Earth Sciences》2020年第3期384-394,共11页中国科学（地球科学英文版）

基　　金：supported by the National Key Research and Development Program of China (Grant No. 2016YFA0600303);the Key Deployment Projects of the Chinese Academy of Sciences (Grant No. ZDRWZS-2019-1-3)

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 from2010 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 inbetter 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 agglomerationregion(-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.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 from2010 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 inbetter 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 agglomerationregion (-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.

关 键 词：GEOS-CHEM GOSAT OCO-2 Specific pattern XCO2 

分 类 号：X831[环境科学与工程—环境工程]