Articles | Volume 16, issue 8
https://doi.org/10.5194/amt-16-2055-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-2055-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Apr 2023
Research article |
| 18 Apr 2023
| 18 Apr 2023
Multiwavelength fluorescence lidar observations of smoke plumes
Igor Veselovskii
Prokhorov General Physics Institute, Russian Academy of
Sciences, Moscow, Russia
Nikita Kasianik
Prokhorov General Physics Institute, Russian Academy of
Sciences, Moscow, Russia
Mikhail Korenskii
Prokhorov General Physics Institute, Russian Academy of
Sciences, Moscow, Russia
Qiaoyun Hu
UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, Univ. Lille, CNRS, 59650 Lille, France
Philippe Goloub
CORRESPONDING AUTHOR
UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, Univ. Lille, CNRS, 59650 Lille, France
Thierry Podvin
UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, Univ. Lille, CNRS, 59650 Lille, France
Dong Liu
State Key Laboratory of Modern Optical Instrumentation, College of
Optical Science and Engineering: International Research Center for Advanced
Photonics, Zhejiang University, Hangzhou 310027, China
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Cited
14 citations as recorded by crossref.
- Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season I. Veselovskii et al. https://doi.org/10.5194/acp-25-1603-2025
- Ecology of Industrial Cities: Non-Standard Scientific and Technological Solutions for Environmental Monitoring, Neutralization, and Subsequent Advanced Processing of Industrial and Municipal Waste (A Review) S. Gudkov et al. https://doi.org/10.1134/S1070363225140014
- Clustering of weak fluorescence spectra from bioaerosol in air using laser-induced fluorescence lidar D. Tang et al. https://doi.org/10.1364/OE.560805
- Profiling pollen and biomass burning particles over Payerne, Switzerland using laser-induced fluorescence lidar and in situ techniques during the 2023 PERICLES campaign M. Gidarakou et al. https://doi.org/10.5194/acp-26-923-2026
- Derivation of depolarization ratios of aerosol fluorescence and water vapor Raman backscatters from lidar measurements I. Veselovskii et al. https://doi.org/10.5194/amt-17-1023-2024
- Biomass burning aerosol transport from Indo-China Peninsula to South China: fluorescence lidar observation and analysis Z. Li et al. https://doi.org/10.5194/amt-19-3253-2026
- Observation and Classification of Low-Altitude Haze Aerosols Using Fluorescence–Raman–Mie Polarization Lidar in Beijing during Spring 2024 Y. Jiang et al. https://doi.org/10.3390/rs16173225
- Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence B. Gast et al. https://doi.org/10.5194/acp-25-3995-2025
- 生物气溶胶荧光激光雷达技术研究进展 栗. LI Zhekai et al. https://doi.org/10.3788/IRLA20240580
- Multiple Increase in the Efficiency of Picosecond Stimulated Raman Scattering Excited by Bessel Laser Beams in Water I. Khodasevich et al. https://doi.org/10.1134/S0021364023603731
- Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments M. Filioglou et al. https://doi.org/10.5194/acp-23-9009-2023
- Kratnoe povyshenie effektivnosti pikosekundnogo VKR v vode pri vozbuzhdenii besselevymi lazernymi puchkami I. Khodasevich et al. https://doi.org/10.31857/S1234567824020046
- Long-term (2010–2021) lidar observations of stratospheric aerosols in Wuhan, China Y. He et al. https://doi.org/10.5194/acp-24-11431-2024
- Forecasting and alert of atmospheric bioaerosol concentration profile based on adaptive genetic algorithm back propagation neural network, atmospheric parameter and fluorescence lidar Z. Rao et al. https://doi.org/10.1016/j.aeaoa.2024.100248
14 citations as recorded by crossref.
- Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season I. Veselovskii et al. https://doi.org/10.5194/acp-25-1603-2025
- Ecology of Industrial Cities: Non-Standard Scientific and Technological Solutions for Environmental Monitoring, Neutralization, and Subsequent Advanced Processing of Industrial and Municipal Waste (A Review) S. Gudkov et al. https://doi.org/10.1134/S1070363225140014
- Clustering of weak fluorescence spectra from bioaerosol in air using laser-induced fluorescence lidar D. Tang et al. https://doi.org/10.1364/OE.560805
- Profiling pollen and biomass burning particles over Payerne, Switzerland using laser-induced fluorescence lidar and in situ techniques during the 2023 PERICLES campaign M. Gidarakou et al. https://doi.org/10.5194/acp-26-923-2026
- Derivation of depolarization ratios of aerosol fluorescence and water vapor Raman backscatters from lidar measurements I. Veselovskii et al. https://doi.org/10.5194/amt-17-1023-2024
- Biomass burning aerosol transport from Indo-China Peninsula to South China: fluorescence lidar observation and analysis Z. Li et al. https://doi.org/10.5194/amt-19-3253-2026
- Observation and Classification of Low-Altitude Haze Aerosols Using Fluorescence–Raman–Mie Polarization Lidar in Beijing during Spring 2024 Y. Jiang et al. https://doi.org/10.3390/rs16173225
- Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence B. Gast et al. https://doi.org/10.5194/acp-25-3995-2025
- 生物气溶胶荧光激光雷达技术研究进展 栗. LI Zhekai et al. https://doi.org/10.3788/IRLA20240580
- Multiple Increase in the Efficiency of Picosecond Stimulated Raman Scattering Excited by Bessel Laser Beams in Water I. Khodasevich et al. https://doi.org/10.1134/S0021364023603731
- Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments M. Filioglou et al. https://doi.org/10.5194/acp-23-9009-2023
- Kratnoe povyshenie effektivnosti pikosekundnogo VKR v vode pri vozbuzhdenii besselevymi lazernymi puchkami I. Khodasevich et al. https://doi.org/10.31857/S1234567824020046
- Long-term (2010–2021) lidar observations of stratospheric aerosols in Wuhan, China Y. He et al. https://doi.org/10.5194/acp-24-11431-2024
- Forecasting and alert of atmospheric bioaerosol concentration profile based on adaptive genetic algorithm back propagation neural network, atmospheric parameter and fluorescence lidar Z. Rao et al. https://doi.org/10.1016/j.aeaoa.2024.100248
Saved (final revised paper)
Latest update: 01 Jun 2026
Short summary
A five-channel fluorescence lidar was developed for the study of atmospheric aerosol. The fluorescence spectrum induced by 355 nm laser emission is analyzed in five spectral intervals, namely 438 and 29, 472 and 32, 513 and 29, 560 and 40, and 614 and 54 nm. This lidar system was operated during strong forest fires. Our results demonstrate that, for urban aerosol, the maximal fluorescence backscattering is observed at 472 nm, while for smoke, the spectrum is shifted toward longer wavelengths.
A five-channel fluorescence lidar was developed for the study of atmospheric aerosol. The...
