Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-397-2024
https://doi.org/10.5194/amt-17-397-2024
Research article
 | 
19 Jan 2024
Research article |  | 19 Jan 2024

Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations

Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh

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Cited articles

Cao, N., Zhu, C., Kai, Y., and Yan, P.: A method of background noise reduction in lidar data, Appl. Phys. B, 113, 115–123, https://doi.org/10.1007/s00340-013-5447-9, 2013. a
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De Wekker, S. F. and Mayor, S. D.: Observations of atmospheric structure and dynamics in the Owens Valley of California with a ground-based, eye-safe, scanning aerosol lidar, J. Appl. Meteorol. Clim., 48, 1483–1499, https://doi.org/10.1175/2009JAMC2034.1, 2009. a
Dockery, D. W., Pope, C. A., Xu, X., Spengler, J. D., Ware, J. H., Fay, M. E., Ferris Jr., B. G., and Speizer, F. E.: An association between air pollution and mortality in six US cities, New Engl. J. Med., 329, 1753–1759, 1993. a
Doherty, R. M., Heal, M. R., and O’Connor, F. M.: Climate change impacts on human health over Europe through its effect on air quality, Environmental Health, 16, 33–44, 2017. a
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We introduce the multi-section method, a novel approach for stable extinction coefficient retrievals in horizontally scanning aerosol lidar measurements, in this study. Our method effectively removes signal–noise-induced irregular peaks and derives a reference extinction coefficient, αref, from multiple scans, resulting in a strong correlation (>0.74) with PM2.5 mass concentrations. Case studies demonstrate its utility in retrieving spatio-temporal aerosol distributions and PM2.5 concentrations.
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