Laser & Optoelectronics Progress, Volume. 58, Issue 19, 1901005(2021)

Humidity Correction Method Based on Probability Distribution Parameter of Atmospheric Extinction Coefficient

Chuan Li1,2, Changjian Ni1,2、*, Meng Yang1,2, Xinyi Li3, and Zhihan Ren1,2
Author Affiliations
  • 1School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu , Sichuan 610225, China
  • 2Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu , Sichuan 610225, China
  • 3Chengdu Meteorological Office, Chengdu , Sichuan 611130, China
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    Humidity correction on atmospheric extinction coefficient is an important component of aerosol hygroscopicity research, which is also a key technical link for determining the mass concentration of near-ground particulate matter retrieved by satellite aerosol optical depth(AOD). Based on hourly PM2.5 mass concentration, atmospheric visibility, and relative humidity (RH) data collected in Chengdu from January to December 2016, the statistical relationship between the atmospheric extinction coefficient and particulate matter mass concentration, as well as its response characteristics with RH variation, are discussed in detail. The atmospheric extinction coefficient per unit mass follows a log-normal distribution when RH is less than 90%, and the shape and scale parameters of the distribution function exhibit a fluctuating growth as RH increases. Second, based on the log-normal distribution parameter of atmospheric extinction coefficient per unit mass under dry environmental conditions (RH ≤ 40%), the effect of humidity change on the probability distribution parameter of atmospheric extinction coefficient per unit mass is eliminated via mathematical transformation. Consequently, the principle and flow chart of humidity correction are proposed for the atmospheric extinction coefficient. Finally, the applicability based on the principle demonstrates that the correlation coefficient of PM2.5 mass concentration calculated by corrected atmospheric extinction coefficient and actual PM2.5 mass concentration is up to 0.90, significantly improving the corresponding humidity correction result using aerosol scattering hygroscopic growth factor method.

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    Chuan Li, Changjian Ni, Meng Yang, Xinyi Li, Zhihan Ren. Humidity Correction Method Based on Probability Distribution Parameter of Atmospheric Extinction Coefficient[J]. Laser & Optoelectronics Progress, 2021, 58(19): 1901005

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Dec. 1, 2020

    Accepted: Dec. 22, 2020

    Published Online: Sep. 29, 2021

    The Author Email: Ni Changjian (ncj1970@163.com)

    DOI:10.3788/LOP202158.1901005

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