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
Viewed
Total article views: 3,460 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,071 | 1,279 | 110 | 3,460 | 116 | 151 |
- HTML: 2,071
- PDF: 1,279
- XML: 110
- Total: 3,460
- BibTeX: 116
- EndNote: 151
Total article views: 2,658 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Aug 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,576 | 995 | 87 | 2,658 | 99 | 134 |
- HTML: 1,576
- PDF: 995
- XML: 87
- Total: 2,658
- BibTeX: 99
- EndNote: 134
Total article views: 802 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 495 | 284 | 23 | 802 | 17 | 17 |
- HTML: 495
- PDF: 284
- XML: 23
- Total: 802
- BibTeX: 17
- EndNote: 17
Viewed (geographical distribution)
Total article views: 3,460 (including HTML, PDF, and XML)
Thereof 3,370 with geography defined
and 90 with unknown origin.
Total article views: 2,658 (including HTML, PDF, and XML)
Thereof 2,624 with geography defined
and 34 with unknown origin.
Total article views: 802 (including HTML, PDF, and XML)
Thereof 746 with geography defined
and 56 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
26 citations as recorded by crossref.
- A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al.
- 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
- Decomposition of three aerosol types using lidar-derived depolarization ratios at two wavelengths X. Shang et al.
- Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al.
- Lidar-based investigation of aerosol hygroscopic growth characteristics using fluorescence capacity W. Yufeng et al.
- 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.
- Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al.
- Identification of fluorescent aerosol observed by a spectroscopic lidar over northwest China Y. Wang et al.
- Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence B. Gast et al.
- The new MARTHA – a powerful lidar system for aerosol and humidity profiling up to the stratosphere B. Gast et al.
- Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie–Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application Y. Chang et al.
- Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models Y. Chang et al.
- 生物气溶胶荧光激光雷达技术研究进展 栗. LI Zhekai et al.
- Derivation of depolarization ratios of aerosol fluorescence and water vapor Raman backscatters from lidar measurements I. Veselovskii et al.
- Observation and Classification of Low-Altitude Haze Aerosols Using Fluorescence–Raman–Mie Polarization Lidar in Beijing during Spring 2024 Y. Jiang et al.
- Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season I. Veselovskii et al.
- Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al.
- Innovative aerosol hygroscopic growth study from Mie–Raman–fluorescence lidar and microwave radiometer synergy R. Miri et al.
- FLARE-GMM: an automatic aerosol typing model based on Mie–Raman–fluorescence lidar measurements with LILAS R. Miri et al.
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al.
- EarthCARE dry-run demonstration with EMORAL lidar I. Stachlewska et al.
- Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al.
- 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.
- 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.
- East Asian dust storm in March 2021: Perspective views from ground observation, satellite measurement and numerical simulation Y. Xue et al.
- Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al.
26 citations as recorded by crossref.
- A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al.
- 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
- Decomposition of three aerosol types using lidar-derived depolarization ratios at two wavelengths X. Shang et al.
- Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al.
- Lidar-based investigation of aerosol hygroscopic growth characteristics using fluorescence capacity W. Yufeng et al.
- 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.
- Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al.
- Identification of fluorescent aerosol observed by a spectroscopic lidar over northwest China Y. Wang et al.
- Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence B. Gast et al.
- The new MARTHA – a powerful lidar system for aerosol and humidity profiling up to the stratosphere B. Gast et al.
- Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie–Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application Y. Chang et al.
- Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models Y. Chang et al.
- 生物气溶胶荧光激光雷达技术研究进展 栗. LI Zhekai et al.
- Derivation of depolarization ratios of aerosol fluorescence and water vapor Raman backscatters from lidar measurements I. Veselovskii et al.
- Observation and Classification of Low-Altitude Haze Aerosols Using Fluorescence–Raman–Mie Polarization Lidar in Beijing during Spring 2024 Y. Jiang et al.
- Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season I. Veselovskii et al.
- Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al.
- Innovative aerosol hygroscopic growth study from Mie–Raman–fluorescence lidar and microwave radiometer synergy R. Miri et al.
- FLARE-GMM: an automatic aerosol typing model based on Mie–Raman–fluorescence lidar measurements with LILAS R. Miri et al.
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al.
- EarthCARE dry-run demonstration with EMORAL lidar I. Stachlewska et al.
- Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al.
- 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.
- 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.
- East Asian dust storm in March 2021: Perspective views from ground observation, satellite measurement and numerical simulation Y. Xue et al.
- Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
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...
