Articles | Volume 15, issue 16
https://doi.org/10.5194/amt-15-4881-2022
© 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/amt-15-4881-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Aug 2022
Research article |
| 29 Aug 2022
| 29 Aug 2022
Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology
Igor Veselovskii
Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow, Russia
Qiaoyun Hu
CORRESPONDING AUTHOR
UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, Univ. Lille, CNRS, 59650 Lille, France
Philippe Goloub
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
Boris Barchunov
Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow, Russia
Mikhail Korenskii
Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow, Russia
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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. 10.5194/acp-25-1603-2025
- Aerosol Typing from Linear estimations for the Analytical Separation (ATLAS) of complex aerosol mixtures and improved identification of microphysical parameters from multiwavelength lidar data, part 1: theory and numerical simulations A. Kolgotin & D. Müller 10.1364/JOSAA.537286
- 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
- Innovative aerosol hygroscopic growth study from Mie–Raman–fluorescence lidar and microwave radiometer synergy R. Miri et al. 10.5194/amt-17-3367-2024
- Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. 10.5194/amt-16-2055-2023
- Identification of fluorescent aerosol observed by a spectroscopic lidar over northwest China Y. Wang et al. 10.1364/OE.493557
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. 10.5194/amt-17-3625-2024
- Aerosol Typing from Linear estimations for the Analytical Separation (ATLAS) of complex aerosol mixtures and improved identification of microphysical parameters from multiwavelength lidar data, part 2: case studies A. Kolgotin et al. 10.1364/JOSAA.537287
- 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
- Novel Insights into the Vertical Distribution Patterns of Multiple PM2.5 Components in a Super Mega-City: Responses to Pollution Control Strategies Y. Song et al. 10.3390/rs17071151
- East Asian dust storm in March 2021: Perspective views from ground observation, satellite measurement and numerical simulation Y. Xue et al. 10.1016/j.atmosenv.2025.121152
- 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
- Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. 10.5194/amt-17-3121-2024
- 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
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. 10.5194/acp-25-1603-2025
- Aerosol Typing from Linear estimations for the Analytical Separation (ATLAS) of complex aerosol mixtures and improved identification of microphysical parameters from multiwavelength lidar data, part 1: theory and numerical simulations A. Kolgotin & D. Müller 10.1364/JOSAA.537286
- 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
- Innovative aerosol hygroscopic growth study from Mie–Raman–fluorescence lidar and microwave radiometer synergy R. Miri et al. 10.5194/amt-17-3367-2024
- Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. 10.5194/amt-16-2055-2023
- Identification of fluorescent aerosol observed by a spectroscopic lidar over northwest China Y. Wang et al. 10.1364/OE.493557
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. 10.5194/amt-17-3625-2024
- Aerosol Typing from Linear estimations for the Analytical Separation (ATLAS) of complex aerosol mixtures and improved identification of microphysical parameters from multiwavelength lidar data, part 2: case studies A. Kolgotin et al. 10.1364/JOSAA.537287
- 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
- Novel Insights into the Vertical Distribution Patterns of Multiple PM2.5 Components in a Super Mega-City: Responses to Pollution Control Strategies Y. Song et al. 10.3390/rs17071151
- East Asian dust storm in March 2021: Perspective views from ground observation, satellite measurement and numerical simulation Y. Xue et al. 10.1016/j.atmosenv.2025.121152
- 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
- Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. 10.5194/amt-17-3121-2024
- 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
Latest update: 01 Apr 2025
Short summary
An approach to reveal variability in aerosol type at a high spatiotemporal resolution, by combining fluorescence and Mie–Raman lidar data, is presented. We applied this new classification scheme to lidar data obtained by LOA, University of Lille, in 2020–2021. It is demonstrated that the separation of the main particle types, such as smoke, dust, pollen, and urban, can be performed with a height resolution of 60 m and temporal resolution better than 10 min for the current lidar configuration.
An approach to reveal variability in aerosol type at a high spatiotemporal resolution, by...
