Abstract
The development of the AIRS (EOS/Aqua) and IASI (MetOp) satellite hyperspectral IR sounders opens new opportunities for determining the average tropospheric carbon dioxide concentration (\(X_{CO_2 } \)) and total methane content (\(Q_{CH_4 } \)) in the atmosphere from large distances, which is important in climatic studies and since the ground network for CO2 and CH4 observations is scarce. The improved scheme for \(X_{CO_2 } \) retrieval from the AIRS data, which was used to construct the \(X_{CO_2 } \) spatial distribution based on the AIRS data for July 2003 and 2010 covering Siberia, is presented. A similar methodology was also used to retrieve instantaneous \(X_{CO_2 } \) values from the cloud-cleared IASI data for July 7, 2008 and the YAK-AEROSIB experimental region. A comparison of the satellite data with quasi-synchronous aircraft observations gives an error of about 2.2 million−1. The iterative physical algorithm was developed in order to retrieve \(Q_{CH_4 } \). The efficiency of the proposed algorithm was estimated during the experiments with actual IASI data covering the Siberian region during several days in July 2008. The \(Q_{CH_4 } \) estimates were validated by comparing them with the spatially superimposed and quasi-synchronous \(Q_{CH_4 } \), estimates based on the AIRS data. The standard deviations of both types of estimates are not more than 3%.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.