Journal of Atmospheric and Environmental Optics, Volume. 20, Issue 1, 60(2025)

Research on retrieval method of atmospheric ozone column concentration from ultraviolet channel sunlight meter

QIAN Congcong1、*, XUN Lina1,2, LU Hui1, LYU Dingyong1, ZHANG Jingjing1,2, and LI Xin3
Author Affiliations
  • 1School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
  • 2School of Artificial Intelligence, Anhui University, Hefei 230601, China
  • 3Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
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    On the basis of analyzing the ozone inversion bands of Dobson, Brewer and UV-PFR instruments, the data from the Pandora global atmospheric monitoring network in the same bands were used to invert the atmospheric ozone column density using the single-difference pair method and the double-difference pair method. In order to find the best band for ozone inversion, the inversion results of these two methods were compared with the atmospheric ozone column density retrieved from Pandora directly. The comparison results show that the inversion results using the single-difference wavelength pair (318 nm/332 nm) method and those using the double-difference wavelength pair (311 nm/332 nm, 318 nm/332 nm) method have a good consistency, while their relative mean difference and relative standard deviation with the direct inversion values from the Pandora global atmospheric monitoring network are both within 1%. The results of this study provide a basis for channel optimization of the ultraviolet channel solar photometer and high-precision ozone inversion.

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    Congcong QIAN, Lina XUN, Hui LU, Dingyong LYU, Jingjing ZHANG, Xin LI. Research on retrieval method of atmospheric ozone column concentration from ultraviolet channel sunlight meter[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(1): 60

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    Paper Information

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    Received: Nov. 19, 2021

    Accepted: --

    Published Online: Feb. 21, 2025

    The Author Email: QIAN Congcong (z19201009@stu.ahu.edu.cn)

    DOI:10.3969/j.issn.1673-6141.2025.01.005

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