首页|Specific patterns of XCO2 observed by GOSAT during 2009-2016 and assessed with model simulations over China

Specific patterns of XCO2 observed by GOSAT during 2009-2016 and assessed with model simulations over China

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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 ofXCO2 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.

GEOS-ChemGOSATOCO-2Specific patternXCO2

Nian BIE、Liping LEI、Zhonghua HE、Zhaocheng ZENG、Liangyun LIU、Bing ZHANG、Bofeng CAI

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Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing 100094, China

University of Chinese Academy of Sciences, Beijing 100049, China

Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena CA91125, USA

The Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning, Ministry of Environmental Protection, Beijing 100012, China

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ACOS v7.3 were produced by the ACOS/OCO-2 project at the Jet Propulsion Laboratory,California Institute of Technology,and obtainWe are grateful for NASA,ACOS/OCO-2 project,NIES GOSAT Project and geos-chem teamThis research was supported by the National Key Research and Development Program of ChinaThis research was supported by the National Key Research and Development Program of ChinaKey Deployment Projects of the Chinese Academy of Sciences

Grant no 2016YFA0600303Grant no ZDRW-ZS-2019-1-3

2020

中国科学:地球科学(英文版)
中国科学院

中国科学:地球科学(英文版)

CSCDSCIEI
影响因子：1.002
ISSN：1674-7313
年,卷(期)：2020.63(3)
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