Articles | Volume 22, issue 8
https://doi.org/10.5194/acp-22-5399-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-5399-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The characterization of long-range transported North American biomass burning plumes: what can a multi-wavelength Mie–Raman-polarization-fluorescence lidar provide?
Qiaoyun Hu
CORRESPONDING AUTHOR
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d’Optique Atmosphérique, 59650 Lille, France
Philippe Goloub
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d’Optique Atmosphérique, 59650 Lille, France
Igor Veselovskii
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
Thierry Podvin
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d’Optique Atmosphérique, 59650 Lille, France
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Cited
14 citations as recorded by crossref.
- Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. 10.5194/amt-16-2055-2023
- Comparison of scanning aerosol lidar and in situ measurements of aerosol physical properties and boundary layer heights H. Zhang et al. 10.5194/ar-2-135-2024
- Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. 10.5194/acp-22-13067-2022
- Derivation of depolarization ratios of aerosol fluorescence and water vapor Raman backscatters from lidar measurements I. Veselovskii et al. 10.5194/amt-17-1023-2024
- Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al. 10.5194/amt-17-4137-2024
- Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. 10.5194/amt-17-3121-2024
- Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie–Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application Y. Chang et al. 10.3390/rs14246208
- Observation and Classification of Low-Altitude Haze Aerosols Using Fluorescence–Raman–Mie Polarization Lidar in Beijing during Spring 2024 Y. Jiang et al. 10.3390/rs16173225
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. 10.5194/amt-15-4881-2022
- Measurement report: Violent biomass burning and volcanic eruptions – a new period of elevated stratospheric aerosol over central Europe (2017 to 2023) in a long series of observations T. Trickl et al. 10.5194/acp-24-1997-2024
- Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. 10.1364/OE.496794
- Wildfire smoke triggers cirrus formation: lidar observations over the eastern Mediterranean R. Mamouri et al. 10.5194/acp-23-14097-2023
- Geometrical and optical properties of cirrus clouds in Barcelona, Spain: analysis with the two-way transmittance method of 4 years of lidar measurements C. Gil-Díaz et al. 10.5194/amt-17-1197-2024
14 citations as recorded by crossref.
- Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. 10.5194/amt-16-2055-2023
- Comparison of scanning aerosol lidar and in situ measurements of aerosol physical properties and boundary layer heights H. Zhang et al. 10.5194/ar-2-135-2024
- Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. 10.5194/acp-22-13067-2022
- Derivation of depolarization ratios of aerosol fluorescence and water vapor Raman backscatters from lidar measurements I. Veselovskii et al. 10.5194/amt-17-1023-2024
- Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al. 10.5194/amt-17-4137-2024
- Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. 10.5194/amt-17-3121-2024
- Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie–Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application Y. Chang et al. 10.3390/rs14246208
- Observation and Classification of Low-Altitude Haze Aerosols Using Fluorescence–Raman–Mie Polarization Lidar in Beijing during Spring 2024 Y. Jiang et al. 10.3390/rs16173225
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. 10.5194/amt-15-4881-2022
- Measurement report: Violent biomass burning and volcanic eruptions – a new period of elevated stratospheric aerosol over central Europe (2017 to 2023) in a long series of observations T. Trickl et al. 10.5194/acp-24-1997-2024
- Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. 10.1364/OE.496794
- Wildfire smoke triggers cirrus formation: lidar observations over the eastern Mediterranean R. Mamouri et al. 10.5194/acp-23-14097-2023
- Geometrical and optical properties of cirrus clouds in Barcelona, Spain: analysis with the two-way transmittance method of 4 years of lidar measurements C. Gil-Díaz et al. 10.5194/amt-17-1197-2024
Latest update: 23 Nov 2024
Short summary
Our lidar observations show that the optical properties of wildfire smoke particles are highly varied after long-range transport. The variabilities are probably relevant to vegetation type, combustion condition and the aging process, which alter the smoke particle properties, as well as their impact on cloud processes and properties. The lidar fluorescence channel provides a good opportunity for smoke characterization and heterogenous ice crystal formation.
Our lidar observations show that the optical properties of wildfire smoke particles are highly...
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