Evaluating Satellite Observed CO2 Column by a 3-D Atmospheric Transport Model

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Guan, X.H.^1 ; Lei, L.P.^1 ; Hou, S.S.^1

Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China^1

关键词: Atmospheric transport model;    Ground-based observations;    Land sea distribution;    Model results;    Observation satellites;    Satellite remote sensing;    Spatial and temporal distribution;    Standard deviation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012010/pdf
DOI  :  10.1088/1755-1315/17/1/012010

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Satellite remote sensing is the latest method of measuring atmospheric CO2, which covers a wide range and makes periodic observation. But due to lack of ground-based observation sites, global satellite observed CO2column is not evaluated efficiently. This paper assess the applicability of using GEOS-Chem model to forward simulate atmospheric CO2for verifying Greenhouse Gas Observation SATellite (GOSAT) observed CO2column. It is shown that GEOS-Chem performs well in modelling atmospheric CO2and there are generally no significant differences between ground-based observation and model results. According to the comparsion, the spatial and temporal distribution of XCO2agrees well between GOSAT and GEOS-Chem. GOSAT XCO2is turned out to be 2.6 ppm lower than the model results. The mean difference observed between GOSAT and GEOS-Chem varies from -1.8 to -3.1 ppm seasonally, with the standard deviation ranging from 1.4 to 2.1 ppm. And in general, the difference is larger in summer than that in winter, in land area than in sea area. It might have been caused by the different land-sea distribution and eco-system's changing with seasons.