Quantifying Vertical Concentration of Long-Range Transported Biomass Burning Aerosols from Canadian Wildfire in 2023 Using Lidar Observations

Qiaoyun Hu; Philippe Goloub; Thierry Podvin; Igor Veselovskii; Yuyang Chang; Fabien Waquet; Sergey Khaykin; Beatrice Josse; Fabrice Ducos; Gael Dubois

doi:10.1051/epjconf/202636202013

Open Access

Issue		EPJ Web Conf. Volume 362, 2026 31^st International Laser Radar Conference (ILRC 31) Held Together with the 22^nd Coherent Laser Radar Conference (CLRC 22)


Article Number		02013
Number of page(s)		3
Section		Lidar Measurements of Clouds and Aerosol
DOI		https://doi.org/10.1051/epjconf/202636202013
Published online		09 April 2026

EPJ Web of Conferences 362, 02013 (2026)
https://doi.org/10.1051/epjconf/202636202013

Quantifying Vertical Concentration of Long-Range Transported Biomass Burning Aerosols from Canadian Wildfire in 2023 Using Lidar Observations

Qiaoyun Hu^(a), Philippe Goloub^(a), Thierry Podvin^(a), Igor Veselovskii^(a)^,(b), Yuyang Chang^(a), Fabien Waquet^(a), Sergey Khaykin^(c), Beatrice Josse^(d), Fabrice Ducos^(a) and Gael Dubois^(a)

^(a) Laboratoire d'Optique Atmosphérique, Université de Lille, CNRS, France
^(b) Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
^(c) LATMOS/IPSL, UVSQ, Sorbonne Université, France
^(d) CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France

Published online: 9 April 2026

Abstract

During the unusually long wildfire season in 2023, the multi-wavelength Mie-Raman-polarization-fluorescence lidar recorded a long time series of transported biomass burning aerosols. With these observations, we obtained a comprehensive dataset about the optical and microphysical properties of BBAs. In this study, we present a method for estimating BBA volume/mass concentrations from lidar observation. The derived profiles of volume and mass concentration show good consistency with airborne measurements and model simulations, respectively.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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