Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1729-2022
https://doi.org/10.5194/amt-15-1729-2022
Research article
 | 
23 Mar 2022
Research article |  | 23 Mar 2022

Empirical model of multiple-scattering effect on single-wavelength lidar data of aerosols and clouds

Valery Shcherbakov, Frédéric Szczap, Alaa Alkasem, Guillaume Mioche, and Céline Cornet

Related authors

Multiple-scattering effects on single-wavelength lidar sounding of multi-layered clouds
Valery Shcherbakov, Frédéric Szczap, Guillaume Mioche, and Céline Cornet
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-109,https://doi.org/10.5194/amt-2023-109, 2023
Revised manuscript accepted for AMT
Short summary
McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing
Frédéric Szczap, Alaa Alkasem, Guillaume Mioche, Valery Shcherbakov, Céline Cornet, Julien Delanoë, Yahya Gour, Olivier Jourdan, Sandra Banson, and Edouard Bray
Atmos. Meas. Tech., 14, 199–221, https://doi.org/10.5194/amt-14-199-2021,https://doi.org/10.5194/amt-14-199-2021, 2021
Short summary
Study of the diffraction pattern of cloud particles and the respective responses of optical array probes
Thibault Vaillant de Guélis, Alfons Schwarzenböck, Valery Shcherbakov, Christophe Gourbeyre, Bastien Laurent, Régis Dupuy, Pierre Coutris, and Christophe Duroure
Atmos. Meas. Tech., 12, 2513–2529, https://doi.org/10.5194/amt-12-2513-2019,https://doi.org/10.5194/amt-12-2513-2019, 2019
Porous aerosol in degassing plumes of Mt. Etna and Mt. Stromboli
Valery Shcherbakov, Olivier Jourdan, Christiane Voigt, Jean-Francois Gayet, Aurélien Chauvigne, Alfons Schwarzenboeck, Andreas Minikin, Marcus Klingebiel, Ralf Weigel, Stephan Borrmann, Tina Jurkat, Stefan Kaufmann, Romy Schlage, Christophe Gourbeyre, Guy Febvre, Tatyana Lapyonok, Wiebke Frey, Sergej Molleker, and Bernadett Weinzierl
Atmos. Chem. Phys., 16, 11883–11897, https://doi.org/10.5194/acp-16-11883-2016,https://doi.org/10.5194/acp-16-11883-2016, 2016
Cloud chamber experiments on the origin of ice crystal complexity in cirrus clouds
Martin Schnaiter, Emma Järvinen, Paul Vochezer, Ahmed Abdelmonem, Robert Wagner, Olivier Jourdan, Guillaume Mioche, Valery N. Shcherbakov, Carl G. Schmitt, Ugo Tricoli, Zbigniew Ulanowski, and Andrew J. Heymsfield
Atmos. Chem. Phys., 16, 5091–5110, https://doi.org/10.5194/acp-16-5091-2016,https://doi.org/10.5194/acp-16-5091-2016, 2016

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Geometrical and optical properties of cirrus clouds in Barcelona, Spain: analysis with the two-way transmittance method of 4 years of lidar measurements
Cristina Gil-Díaz, Michäel Sicard, Adolfo Comerón, Daniel Camilo Fortunato dos Santos Oliveira, Constantino Muñoz-Porcar, Alejandro Rodríguez-Gómez, Jasper R. Lewis, Ellsworth J. Welton, and Simone Lolli
Atmos. Meas. Tech., 17, 1197–1216, https://doi.org/10.5194/amt-17-1197-2024,https://doi.org/10.5194/amt-17-1197-2024, 2024
Short summary
Determination of the vertical distribution of in-cloud particle shape using SLDR-mode 35 GHz scanning cloud radar
Audrey Teisseire, Patric Seifert, Alexander Myagkov, Johannes Bühl, and Martin Radenz
Atmos. Meas. Tech., 17, 999–1016, https://doi.org/10.5194/amt-17-999-2024,https://doi.org/10.5194/amt-17-999-2024, 2024
Short summary
Artificial intelligence (AI)-derived 3D cloud tomography from geostationary 2D satellite data
Sarah Brüning, Stefan Niebler, and Holger Tost
Atmos. Meas. Tech., 17, 961–978, https://doi.org/10.5194/amt-17-961-2024,https://doi.org/10.5194/amt-17-961-2024, 2024
Short summary
The EarthCARE mission: science data processing chain overview
Michael Eisinger, Fabien Marnas, Kotska Wallace, Takuji Kubota, Nobuhiro Tomiyama, Yuichi Ohno, Toshiyuki Tanaka, Eichi Tomita, Tobias Wehr, and Dirk Bernaerts
Atmos. Meas. Tech., 17, 839–862, https://doi.org/10.5194/amt-17-839-2024,https://doi.org/10.5194/amt-17-839-2024, 2024
Short summary
Cloud optical and physical properties retrieval from EarthCARE multi-spectral imager: the M-COP products
Anja Hünerbein, Sebastian Bley, Hartwig Deneke, Jan Fokke Meirink, Gerd-Jan van Zadelhoff, and Andi Walther
Atmos. Meas. Tech., 17, 261–276, https://doi.org/10.5194/amt-17-261-2024,https://doi.org/10.5194/amt-17-261-2024, 2024
Short summary

Cited articles

Ackermann, J. Völger, P., and Wiegner, M.: Significance of multiple scattering from tropospheric aerosols for ground-based backscatter lidar measurements, Appl. Opt., 38, 5195–5201, https://doi.org/10.1364/AO.38.005195, 1999. 
Alkasem, A., Szczap, F., Cornet, C., Shcherbakov, V., Gour, Y., Jourdan, O., Labonnote, L. C., and Mioche, G.: Effects of cirrus heterogeneity on lidar CALIOP/CALIPSO data, J. Quant. Spectrosc. Ra., 202, 38–49, https://doi.org/10.1016/j.jqsrt.2017.07.005, 2017. 
Allen, R. and Platt, C.: Lidar for multiple backscattering and depolarization observations, Appl. Opt., 16, 3193–3199, https://doi.org/10.1364/AO.16.003193, 1977. 
Bissonnette, L. R.: Lidar and Multiple Scattering, in: Lidar, edited by: Weitkamp, C., Springer Series in Optical Sciences, Springer, New York, NY, vol. 102, 43–103, https://doi.org/10.1007/0-387-25101-4_3, 2005. 
Download
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.