Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity

Remote Sensing

Shengbo Chen¹  Liang Zhao²  Tengfei Cui²  Yong Xue² 

[1] College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China;School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China;

关键词: carbon dioxide;    SCIATRAN;    normalized sensitivity;    albedo;    aerosol;    GOSAT;   

DOI  :  10.3390/rs14051106

来源: DOAJ

【 摘 要 】

The satellite-based remote-sensing detection of CO₂ can provide long-term and continuous observations at the global scale, and is the primary observational approach to monitoring CO₂ changes. Surface albedo and aerosol are two significant challenges for retrieving CO₂ concentrations from near-infrared remote-sensing data. This research addressed the dependence of radiance sensitivities on CO₂ concentration, aerosol, surface albedo, and water vapor. The band ratio method was used to retrieve CO₂ with band selection of the high- and low-sensitivity channels to restrain the influence of surface albedo and aerosol. Results showed that the band ratio method had better efficiency at reducing the impact of aerosol and surface albedo than that of the optical estimation method. The retrieval error of aerosol was reduced by 2.5% overall. We validated the band ratio method retrieval results with two TCCON sites and the GOSAT L3 product. Pearson’s correlation coefficient, mean bias, mean absolute bias, and root mean squared error of the monthly retrieval data of the band ratio method showed high agreement between the TCCON in Park Falls and Wollongong. These results indicate that the band ratio method based on normalized sensitivity can effectively reduce the influence of surface albedo and aerosol.

【 授权许可】

Unknown