Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 6, 624(2024)

Research on DOAS algorithm based on discrete wavelength

JI Fangli1,2、*, ZHAO Xin1, SI Fuqi1, ZHOU Haijin1, QIAN Yuanyuan1,2, and YANG Taiping1,2
Author Affiliations
  • 1Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS,Chinese Academy of Sciences, Hefei 230031, China
  • 2University of Science and Technology of China, Hefei 230026, China
  • show less

    NO2 slant column density is retrieved using eight discrete wavelengths (DW) combined with differential optical absorption spectroscopy (DOAS) technique, and the difference between DW-DOAS and the traditional DOAS technique using continuous wavelengths is compared and discussed. The feasibility of DW-DOAS is validated using the ground-based data and the satellite-based data from environmental trace gases monitoring instrument (EMI) in the study. The results show that compared with the traditional DOAS, the average errors of the two data retrieved using DW-DOAS are both less than 7%, and the correlations are above 0.9, proving that the DW-DOAS retrieve method has certain application value in retrieving trace gas column density. In addition, it is also shown that the DW-DOAS algorithm can quickly and efficiently retrieve the NO2 slant column density only using a small amount of spectral information. This work not only provides a basis for further research on subsequent algorithms, but also indicates that based on DW-DOAS algorithm, simpler and more efficient instruments can be designed for monitoring NO2 with high spatial and temporal resolution.

    Keywords
    Tools

    Get Citation

    Copy Citation Text

    Fangli JI, Xin ZHAO, Fuqi SI, Haijin ZHOU, Yuanyuan QIAN, Taiping YANG. Research on DOAS algorithm based on discrete wavelength[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(6): 624

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Mar. 3, 2022

    Accepted: --

    Published Online: Jan. 8, 2025

    The Author Email: JI Fangli (flji@aiofm.ac.cn)

    DOI:10.3969/j.issn.1673-6141.2024.06.002

    Topics