Articles | Volume 25, issue 13
https://doi.org/10.5194/acp-25-6787-2025
© Author(s) 2025. 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-25-6787-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jul 2025
Research article |
| 03 Jul 2025
| 03 Jul 2025
Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models
Yuyang Chang
Univ. Lille, CNRS, UMR 8518–LOA–Laboratoire d'Optique Atmosphérique, Lille 59650, France
Qiaoyun Hu
CORRESPONDING AUTHOR
Univ. Lille, CNRS, UMR 8518–LOA–Laboratoire d'Optique Atmosphérique, Lille 59650, France
Philippe Goloub
Univ. Lille, CNRS, UMR 8518–LOA–Laboratoire d'Optique Atmosphérique, Lille 59650, France
Thierry Podvin
Univ. Lille, CNRS, UMR 8518–LOA–Laboratoire d'Optique Atmosphérique, Lille 59650, France
Igor Veselovskii
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
Fabrice Ducos
Univ. Lille, CNRS, UMR 8518–LOA–Laboratoire d'Optique Atmosphérique, Lille 59650, France
Gaël Dubois
Univ. Lille, CNRS, UMR 8518–LOA–Laboratoire d'Optique Atmosphérique, Lille 59650, France
Masanori Saito
Department of Atmospheric Science, University of Wyoming, Laramie 82071 WY, USA
Anton Lopatin
GRASP–SAS, Remote Sensing Developments, Lille 59650, France
Oleg Dubovik
Univ. Lille, CNRS, UMR 8518–LOA–Laboratoire d'Optique Atmosphérique, Lille 59650, France
Cheng Chen
Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
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Cited
10 citations as recorded by crossref.
- Investigating the link between mineral dust hematite content and intensive optical properties by means of lidar measurements and aerosol modeling S. Gómez Maqueo Anaya et al. https://doi.org/10.5194/acp-25-9737-2025
- Quantifying the aging of dust aerosols using Mie–polarization–fluorescence lidar: Linking optical evolution to chemical transformations Y. Ji et al. https://doi.org/10.1016/j.atmosres.2026.109312
- Evaluation of Non-Spherical Particle Models for Mineral Dust in Multi-Wavelength Polarization Lidar Applications: Comparison of Spheroid, Super-Ellipsoid, and Irregular-Hexagonal Models L. Wang & D. Liu https://doi.org/10.3390/rs17233804
- Vertical detection of wavelength dependence of aerosol optical depth within the boundary layer via a four-wavelength atmospheric lidar X. Wang et al. https://doi.org/10.1016/j.measurement.2025.120200
- Influence of surface roughness on single scattering properties of irregular hexahedra for remote sensing T. Oppermann et al. https://doi.org/10.1016/j.jqsrt.2026.110056
- Model of Randomly Oriented Spheroids for the Retrieval of Non-Spherical Particle Microphysical Parameters from 3β + 2α + 3δ Lidar Measurements, Part 3: Case Studies A. Kolgotin & D. Müller https://doi.org/10.3390/rs18122012
- Numerical investigation on size retrieval error for coated dust aerosol with different shape distributions based on spherical shape assumption and the effects on radiative estimation J. Liu et al. https://doi.org/10.1016/j.jqsrt.2025.109792
- Vertical distribution of type-discriminated aerosol concentration from a three-wavelength backscatter spaceborne lidar F. Qayyum et al. https://doi.org/10.1016/j.rse.2026.115399
- A novel laboratory methodology to evaluate the particle extinction-to-backscatter ratio or particle lidar ratio of aerosols A. Miffre et al. https://doi.org/10.1038/s41598-026-61997-3
- China Aerosol Raman Lidar Network (CARLNET)—Part II: Quality Assessment of Lidar Raw Data Z. Bu et al. https://doi.org/10.3390/rs18040663
10 citations as recorded by crossref.
- Investigating the link between mineral dust hematite content and intensive optical properties by means of lidar measurements and aerosol modeling S. Gómez Maqueo Anaya et al. https://doi.org/10.5194/acp-25-9737-2025
- Quantifying the aging of dust aerosols using Mie–polarization–fluorescence lidar: Linking optical evolution to chemical transformations Y. Ji et al. https://doi.org/10.1016/j.atmosres.2026.109312
- Evaluation of Non-Spherical Particle Models for Mineral Dust in Multi-Wavelength Polarization Lidar Applications: Comparison of Spheroid, Super-Ellipsoid, and Irregular-Hexagonal Models L. Wang & D. Liu https://doi.org/10.3390/rs17233804
- Vertical detection of wavelength dependence of aerosol optical depth within the boundary layer via a four-wavelength atmospheric lidar X. Wang et al. https://doi.org/10.1016/j.measurement.2025.120200
- Influence of surface roughness on single scattering properties of irregular hexahedra for remote sensing T. Oppermann et al. https://doi.org/10.1016/j.jqsrt.2026.110056
- Model of Randomly Oriented Spheroids for the Retrieval of Non-Spherical Particle Microphysical Parameters from 3β + 2α + 3δ Lidar Measurements, Part 3: Case Studies A. Kolgotin & D. Müller https://doi.org/10.3390/rs18122012
- Numerical investigation on size retrieval error for coated dust aerosol with different shape distributions based on spherical shape assumption and the effects on radiative estimation J. Liu et al. https://doi.org/10.1016/j.jqsrt.2025.109792
- Vertical distribution of type-discriminated aerosol concentration from a three-wavelength backscatter spaceborne lidar F. Qayyum et al. https://doi.org/10.1016/j.rse.2026.115399
- A novel laboratory methodology to evaluate the particle extinction-to-backscatter ratio or particle lidar ratio of aerosols A. Miffre et al. https://doi.org/10.1038/s41598-026-61997-3
- China Aerosol Raman Lidar Network (CARLNET)—Part II: Quality Assessment of Lidar Raw Data Z. Bu et al. https://doi.org/10.3390/rs18040663
Saved (final revised paper)
Latest update: 18 Sep 2026
Short summary
Our study retrieved dust aerosol microphysical properties from lidar measurements using different scattering models. Numeric simulations and real data applications revealed the importance of considering depolarization measurements and the superiority of the irregular–hexahedral model in the retrieval of dust aerosols from lidar measurements.
Our study retrieved dust aerosol microphysical properties from lidar measurements using...
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