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Proceedings Paper

Effectiveness analysis of ACOS-Xco2 bias correction method with GEOS-Chem model results
Author(s): Da Liu; Liping Lei; Min Liu; Lijie Guo; Qian Wang; Nian Bie
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Paper Abstract

Satellite observations and model simulations are of two important data sources to study atmospheric carbon dioxide concentration. For analyzing and evaluating the bias correction method of ACOS dry-air column averaged CO2 (Xco2) product, the GEOS-Chem Xco2 simulations are selected according to observing time and locations of the ACOS product. The GEOS-Chem simulations of CO2 profiles are transformed to Xco2 data by convolving with satellite averaging kernels and pressure weighting functions. The GEOS-Chem Xco2 data are then compared with both bias uncorrected and bias corrected satellite retrievals of ACOS. The comparisons show that the bias uncorrected ACOS retrievals are on average 1.12ppm higher than the model Xco2 data, while the corrected ACOS retrievals are only on average 0.06ppm lower than the model Xco2 data. By assuming consistency between model Xco2 simulations and true atmospheric Xco2, this study indicates that the bias can be obvious decreased through the bias correction method, and the correction is effective and necessary for satellite Xco2 retrievals.

Paper Details

Date Published: 6 August 2015
PDF: 8 pages
Proc. SPIE 9669, Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, 96690E (6 August 2015); doi: 10.1117/12.2204821
Show Author Affiliations
Da Liu, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Science (China)
Liping Lei, Institute of Remote Sensing and Digital Earth (China)
Min Liu, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Science (China)
Lijie Guo, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Science (China)
Qian Wang, Institute of Remote Sensing and Digital Earth (China)
Xi’an Univ. (China)
Nian Bie, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Science (China)


Published in SPIE Proceedings Vol. 9669:
Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China
Qingxi Tong; Boqin Zhu, Editor(s)

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