Articles | Volume 14, issue 7
https://doi.org/10.5194/amt-14-4773-2021
© Author(s) 2021. 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-14-4773-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jul 2021
Research article |
| 02 Jul 2021
| 02 Jul 2021
Mie–Raman–fluorescence lidar observations of aerosols during pollen season in the north of France
Igor Veselovskii
CORRESPONDING AUTHOR
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
Qiaoyun Hu
UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, Univ. Lille, CNRS, 59000, Lille, France
Philippe Goloub
UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, Univ. Lille, CNRS, 59000, Lille, France
Thierry Podvin
UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, Univ. Lille, CNRS, 59000, Lille, France
Marie Choël
UMR 8516 – LASIR – Laboratoire de Spectrochimie Infrarouge et Raman, Univ. Lille, CNRS, 59000, Lille, France
Nicolas Visez
UMR 8522 – PC2A – Physicochimie des Processus de Combustion et de l'Atmosphère, Univ. Lille, CNRS, 59000, Lille, France
Mikhail Korenskiy
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
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Cited
19 citations as recorded by crossref.
- A review of coarse mineral dust in the Earth system A. Adebiyi et al. 10.1016/j.aeolia.2022.100849
- 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
- Measurement report: Characterization of the vertical distribution of airborne Pinus pollen in the atmosphere with lidar-derived profiles – a modeling case study in the region of Barcelona, NE Spain M. Sicard et al. 10.5194/acp-21-17807-2021
- 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
- Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments M. Filioglou et al. 10.5194/acp-23-9009-2023
- Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. 10.5194/amt-16-2055-2023
- Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign X. Shang et al. 10.5194/acp-22-3931-2022
- Fluorescence lidar observations of wildfire smoke inside cirrus: a contribution to smoke–cirrus interaction research I. Veselovskii et al. 10.5194/acp-22-5209-2022
- The impact of aerosol fluorescence on long-term water vapor monitoring by Raman lidar and evaluation of a potential correction method F. Chouza et al. 10.5194/amt-15-4241-2022
- Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al. 10.5194/acp-25-1639-2025
- Aerobiological modelling II: A review of long-range transport models A. Vélez-Pereira et al. 10.1016/j.scitotenv.2022.157351
- 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
- Collection of excitation-emission-matrix fluorescence of aerosol-candidate-substances and its application to fluorescence lidar monitoring Y. Saito et al. 10.1364/AO.445507
- Laboratory Evaluation of the (355, 532) nm Particle Depolarization Ratio of Pure Pollen at 180.0° Lidar Backscattering Angle D. Cholleton et al. 10.3390/rs14153767
- 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
- 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
- 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
- The characterization of long-range transported North American biomass burning plumes: what can a multi-wavelength Mie–Raman-polarization-fluorescence lidar provide? Q. Hu et al. 10.5194/acp-22-5399-2022
- Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. 10.5194/amt-17-3121-2024
19 citations as recorded by crossref.
- A review of coarse mineral dust in the Earth system A. Adebiyi et al. 10.1016/j.aeolia.2022.100849
- 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
- Measurement report: Characterization of the vertical distribution of airborne Pinus pollen in the atmosphere with lidar-derived profiles – a modeling case study in the region of Barcelona, NE Spain M. Sicard et al. 10.5194/acp-21-17807-2021
- 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
- Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments M. Filioglou et al. 10.5194/acp-23-9009-2023
- Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. 10.5194/amt-16-2055-2023
- Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign X. Shang et al. 10.5194/acp-22-3931-2022
- Fluorescence lidar observations of wildfire smoke inside cirrus: a contribution to smoke–cirrus interaction research I. Veselovskii et al. 10.5194/acp-22-5209-2022
- The impact of aerosol fluorescence on long-term water vapor monitoring by Raman lidar and evaluation of a potential correction method F. Chouza et al. 10.5194/amt-15-4241-2022
- Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al. 10.5194/acp-25-1639-2025
- Aerobiological modelling II: A review of long-range transport models A. Vélez-Pereira et al. 10.1016/j.scitotenv.2022.157351
- 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
- Collection of excitation-emission-matrix fluorescence of aerosol-candidate-substances and its application to fluorescence lidar monitoring Y. Saito et al. 10.1364/AO.445507
- Laboratory Evaluation of the (355, 532) nm Particle Depolarization Ratio of Pure Pollen at 180.0° Lidar Backscattering Angle D. Cholleton et al. 10.3390/rs14153767
- 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
- 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
- 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
- The characterization of long-range transported North American biomass burning plumes: what can a multi-wavelength Mie–Raman-polarization-fluorescence lidar provide? Q. Hu et al. 10.5194/acp-22-5399-2022
- Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. 10.5194/amt-17-3121-2024
Latest update: 29 Mar 2025
Short summary
The multiwavelength Mie–Raman–fluorescence lidar of the University of Lille was used to characterize aerosols during the pollen season in the north of France for the period March–June 2020. The results of observations demonstrate that the presence of pollen grains in aerosol mixtures leads to an increase in the depolarization ratio and to the enhancement of the fluorescence backscattering.
The multiwavelength Mie–Raman–fluorescence lidar of the University of Lille was used to...
