Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1729-2022
© 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-15-1729-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Empirical model of multiple-scattering effect on single-wavelength lidar data of aerosols and clouds
Valery Shcherbakov
CORRESPONDING AUTHOR
Laboratoire de Météorologie Physique, Université Clermont Auvergne, CNRS, UMR 6016, 63178 Aubière, France
Institut Universitaire de Technologie Clermont Auvergne – site de Montluçon, Université Clermont Auvergne, 03100 Montluçon, France
Frédéric Szczap
Laboratoire de Météorologie Physique, Université Clermont Auvergne, CNRS, UMR 6016, 63178 Aubière, France
Alaa Alkasem
Laboratoire de Météorologie Physique, Université Clermont Auvergne, CNRS, UMR 6016, 63178 Aubière, France
Guillaume Mioche
Laboratoire de Météorologie Physique, Université Clermont Auvergne, CNRS, UMR 6016, 63178 Aubière, France
Institut Universitaire de Technologie Clermont Auvergne – site de Montluçon, Université Clermont Auvergne, 03100 Montluçon, France
Céline Cornet
Laboratoire d'Optique Atmosphérique, Université Lille 1, CNRS, UMR 8518, 59655 Villeneuve d'Ascq, France
Viewed
Total article views: 3,370 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Nov 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,394 | 866 | 110 | 3,370 | 309 | 104 | 136 |
- HTML: 2,394
- PDF: 866
- XML: 110
- Total: 3,370
- Supplement: 309
- BibTeX: 104
- EndNote: 136
Total article views: 2,410 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Mar 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,748 | 565 | 97 | 2,410 | 150 | 96 | 127 |
- HTML: 1,748
- PDF: 565
- XML: 97
- Total: 2,410
- Supplement: 150
- BibTeX: 96
- EndNote: 127
Total article views: 960 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Nov 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 646 | 301 | 13 | 960 | 159 | 8 | 9 |
- HTML: 646
- PDF: 301
- XML: 13
- Total: 960
- Supplement: 159
- BibTeX: 8
- EndNote: 9
Viewed (geographical distribution)
Total article views: 3,370 (including HTML, PDF, and XML)
Thereof 3,334 with geography defined
and 36 with unknown origin.
Total article views: 2,410 (including HTML, PDF, and XML)
Thereof 2,385 with geography defined
and 25 with unknown origin.
Total article views: 960 (including HTML, PDF, and XML)
Thereof 949 with geography defined
and 11 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
15 citations as recorded by crossref.
- Quantitative scattering models of broad-band narrow-beam light through fog Y. Liu et al. https://doi.org/10.1364/OE.471317
- Nighttime Contrail Characterization from Multisource Lidar and Meteorological Observations F. Mandija et al. https://doi.org/10.3390/rs18020210
- Small angle approximation for the lidar return from clouds and fogs A. Kokhanovsky et al. https://doi.org/10.1016/j.jqsrt.2023.108648
- Fiber Lidar Sensing of the Vertical Profiles of Low-Level Cloud Extinction Coefficients at 1064 nm S. Park et al. https://doi.org/10.3390/rs18060891
- Optical signal characteristics analysis of atmospheric disturbance density fields generated by high-speed aircraft Y. WANG et al. https://doi.org/10.1016/j.cja.2024.10.002
- Cooperative properties of multiple quantum scattering: II. Coherentlasing N. Enaki https://doi.org/10.1088/1402-4896/ad2ac0
- Mechanism and algorithm for addressing the impact of multiple scattering on surface elevation extraction in photon-counting LiDAR data Z. Wang et al. https://doi.org/10.1016/j.rse.2025.114603
- A Multiple Scattering Theory Approach: Numerical Model for Haze Detection Using Horizontal Scanning LIDAR J. Ooi et al. https://doi.org/10.1016/j.optlaseng.2023.107713
- Incorporating EarthCARE observations into a multi-lidar cloud climate record: the ATLID (Atmospheric Lidar) cloud climate product A. Feofilov et al. https://doi.org/10.5194/amt-16-3363-2023
- 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. https://doi.org/10.5194/amt-17-1197-2024
- Classification of Cloud Phases in Cold-Air Outbreak Events Based on Polarization Lidar and Cloud Radar Observations Y. Zhang et al. https://doi.org/10.1109/TGRS.2026.3663561
- Multiple-scattering effects on single-wavelength lidar sounding of multi-layered clouds V. Shcherbakov et al. https://doi.org/10.5194/amt-17-3011-2024
- Research on the Attenuation Characteristics of LiDAR Transmission Energy in Different Atmospheric Environments X. Yang et al. https://doi.org/10.3390/atmos16020210
- Forest aboveground biomass retrieval integrating ICESat-2, Landsat-8, and environmental factors S. Ma et al. https://doi.org/10.1016/j.ecoinf.2025.103194
- Computation of the Attenuated Backscattering Coefficient by the Backscattering Lidar Signal Simulator (BLISS) in the Framework of the CALIOP/CALIPSO Observations F. Szczap et al. https://doi.org/10.3390/atmos14020249
15 citations as recorded by crossref.
- Quantitative scattering models of broad-band narrow-beam light through fog Y. Liu et al. https://doi.org/10.1364/OE.471317
- Nighttime Contrail Characterization from Multisource Lidar and Meteorological Observations F. Mandija et al. https://doi.org/10.3390/rs18020210
- Small angle approximation for the lidar return from clouds and fogs A. Kokhanovsky et al. https://doi.org/10.1016/j.jqsrt.2023.108648
- Fiber Lidar Sensing of the Vertical Profiles of Low-Level Cloud Extinction Coefficients at 1064 nm S. Park et al. https://doi.org/10.3390/rs18060891
- Optical signal characteristics analysis of atmospheric disturbance density fields generated by high-speed aircraft Y. WANG et al. https://doi.org/10.1016/j.cja.2024.10.002
- Cooperative properties of multiple quantum scattering: II. Coherentlasing N. Enaki https://doi.org/10.1088/1402-4896/ad2ac0
- Mechanism and algorithm for addressing the impact of multiple scattering on surface elevation extraction in photon-counting LiDAR data Z. Wang et al. https://doi.org/10.1016/j.rse.2025.114603
- A Multiple Scattering Theory Approach: Numerical Model for Haze Detection Using Horizontal Scanning LIDAR J. Ooi et al. https://doi.org/10.1016/j.optlaseng.2023.107713
- Incorporating EarthCARE observations into a multi-lidar cloud climate record: the ATLID (Atmospheric Lidar) cloud climate product A. Feofilov et al. https://doi.org/10.5194/amt-16-3363-2023
- 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. https://doi.org/10.5194/amt-17-1197-2024
- Classification of Cloud Phases in Cold-Air Outbreak Events Based on Polarization Lidar and Cloud Radar Observations Y. Zhang et al. https://doi.org/10.1109/TGRS.2026.3663561
- Multiple-scattering effects on single-wavelength lidar sounding of multi-layered clouds V. Shcherbakov et al. https://doi.org/10.5194/amt-17-3011-2024
- Research on the Attenuation Characteristics of LiDAR Transmission Energy in Different Atmospheric Environments X. Yang et al. https://doi.org/10.3390/atmos16020210
- Forest aboveground biomass retrieval integrating ICESat-2, Landsat-8, and environmental factors S. Ma et al. https://doi.org/10.1016/j.ecoinf.2025.103194
- Computation of the Attenuated Backscattering Coefficient by the Backscattering Lidar Signal Simulator (BLISS) in the Framework of the CALIOP/CALIPSO Observations F. Szczap et al. https://doi.org/10.3390/atmos14020249
Saved (final revised paper)
Latest update: 28 May 2026
Short summary
We performed extensive Monte Carlo (MC) simulations of lidar signals and developed an empirical model to account for the multiple scattering in the lidar signals. The simulations have taken into consideration four types of lidar configurations (the ground based, the airborne, the CALIOP, and the ATLID) and four types of particles (coarse aerosol, water cloud, jet-stream cirrus, and cirrus).
The empirical model has very good quality of MC data fitting for all considered cases.
We performed extensive Monte Carlo (MC) simulations of lidar signals and developed an empirical...