Paper
27 March 2022 Influence of prior profile on retrieval of greenhouse gas CO2 concentration from ground-based infrared remote sensing
Author Affiliations +
Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121695C (2022) https://doi.org/10.1117/12.2624353
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
The increase of greenhouse gas concentration is the most important factor leading to global warming, and the accuracy of carbon dioxide column concentration is required to be better than 0.25% in the total carbon column observation network. As the prior value of inversion model, the influence of prior profile on inversion accuracy needs to be further clarified. Based on Observation of the column-averaged dry air mole fractions of carbon dioxide in Hefei, the sensitivity of temperature profile, pressure profile and CO2 molecular profile to the column-averaged dry air mole fractions retrieval was analyzed. The main results are as follows: The temperature and pressure profiles have significant influence on the inversion results, the relative deviation of retrieving CO2 column concentration from the temperature and pressure profiles of 1976 US standard atmosphere and NCEP is 3.8%, and the maximum absolute deviation between them is 14ppm; The shift of the prior CO2 profile has no effect on the inversion accuracy. However, the change of the profile shape has a significant effect on the inversion accuracy. Therefore, using real-time temperature and pressure profiles and accurate gas prior profiles can improve the retrieval accuracy of greenhouse gas CO2 column concentration. These results provide a theoretical basis for the inversion of greenhouse gas column concentration in China.
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Dandan Liu, Xing-ji Lu, Yin-bo Huang, Zhen-song Cao, Xiang-yuan Liu, and Peng Peng "Influence of prior profile on retrieval of greenhouse gas CO2 concentration from ground-based infrared remote sensing", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121695C (27 March 2022); https://doi.org/10.1117/12.2624353
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KEYWORDS
Carbon monoxide

Carbon dioxide

Atmospheric sensing

Gases

Climate change

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