Acta Optica Sinica, Volume. 41, Issue 16, 1601001(2021)

Absorbing Aerosol Index Inversion Algorithm of TROPOMI and Its Application

Fuying Tang1,2, Haijin Zhou1、*, Weihe Wang3,4, Taiping Yang1, and Fuqi Si1
Author Affiliations
  • 1Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2University of Science and Technology of China, Hefei, Anhui 230026, China
  • 3Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (NSMC), China Meteorological Administration (CMA), Beijing 100081, China
  • 4National Satellite Meteorological Center (NSMC), China Meteorological Administration (CMA), Beijing 100081, China
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    The absorbing aerosol index (AAI), which can be used to characterize the proportion of absorbing aerosol components in the ultraviolet band, is one of the important data products for satellite remote sensing detection. The SCIATRAN radiative transfer model is employed to set solar zenith angle, viewing zenith angle, relative azimuth angle, surface altitude, and cloud altitude to draw up the lookup table of reflectance at the top of the atmosphere. The table is combined with the TROPOMI data to retrieve the AAI. Due to the characteristics of the satellite monitoring instrument, the directly retrieved AAI cannot fully characterize the distribution characteristics of absorbing aerosols, and the background value needs to be deducted. In this study, the background value of the AAI in the Pacific region was obtained by statistical methods. The data of the wildfire period in California, USA on September 2020 was used to study the transmission of wildfire smoke plumes. The inversion results show the distribution characteristics of aerosols, with good background correction results, and they are basically consistent with the spatial distribution of the products officially released by TROPOMI, with an average correlation coefficient of 0.963. Finally, a comparison between the aerosol optical thickness (AOT) data at ground AERONET stations and the AAI data of satellite remote sensing indicates consistent aerosol changing trends of them.

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    Fuying Tang, Haijin Zhou, Weihe Wang, Taiping Yang, Fuqi Si. Absorbing Aerosol Index Inversion Algorithm of TROPOMI and Its Application[J]. Acta Optica Sinica, 2021, 41(16): 1601001

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jan. 18, 2021

    Accepted: Mar. 18, 2021

    Published Online: Aug. 12, 2021

    The Author Email: Zhou Haijin (hjzhou@aiofm.ac.cn)

    DOI:10.3788/AOS202141.1601001

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