Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 1, 14(2023)

Lidar detection of diurnal variation of whole atmosphere aerosol optical depth

WANG Xijin1,2, XU Qingshan1、*, FAN Chuanyu1,2,4, CHENG Chen3, QI Peng1,2,5, and XU Chidong1
Author Affiliations
  • 1Centre for Basic Science, 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
  • 3Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, HFIPS,Chinese Academy of Sciences, Hefei 230031, China
  • 4College of Electrical and Photoelectrical Engineering, West Anhui University, Lu'an 237012, China
  • 5School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China
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    In order to enrich the measurment methods of aerosol optical depth of the whole atmosphere layer, a detection method integrating micro-pulse lidar and surface visibility data is proposed. In the method, the aerosol vertical extinction coefficient profile is retrieved from lidar data firstly, and the aerosol scale height is calculated accordingly. Then, the relationship between visibility and extinction coefficient is used to obtain the surface horizontal extinction coefficient. Finally, the aerosol scale height is combined with surface extinction coefficient to obtain the aerosol optical depth of the entire atmosphere. This method was applied to Hefei area, China, and the diurnal variation trend of the entire atmospheric aerosol optical depth in this area was succesfully obtained, which verifies the applicability of the method.

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    Xijin WANG, Qingshan XU, Chuanyu FAN, Chen CHENG, Peng QI, Chidong XU. Lidar detection of diurnal variation of whole atmosphere aerosol optical depth[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(1): 14

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    Paper Information

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    Received: Apr. 15, 2021

    Accepted: --

    Published Online: Apr. 17, 2023

    The Author Email: XU Qingshan (qshxu@aiofm.ac.cn)

    DOI:10.3969/j.issn.1673-6141.2023.01.002

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