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.
Research article
| 
23 Mar 2022
Research article |
| 23 Mar 2022
| 23 Mar 2022
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
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We performed Monte Carlo simulations of single-wavelength lidar signals from multi-layered clouds with special attention focused on the multiple-scattering (MS) effect in regions of the cloud-free molecular atmosphere. The MS effect on lidar signals always decreases with the increasing distance from the cloud far edge. The decrease is the direct consequence of the fact that the forward peak of particle phase functions is much larger than the receiver field of view.
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physical models.
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Earth Syst. Sci. Data, 13, 4067–4119, https://doi.org/10.5194/essd-13-4067-2021, https://doi.org/10.5194/essd-13-4067-2021, 2021
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The EUREC4A field campaign, designed to test hypothesized mechanisms by which clouds respond to warming and benchmark next-generation Earth-system models, is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. It was the first campaign that attempted to characterize the full range of processes and scales influencing trade wind clouds.
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
Short summary
Spaceborne lidar and radar are suitable tools to investigate cloud vertical properties on a global scale. This paper presents the McRALI code that provides simulations of lidar and radar signals from the EarthCARE mission. Regarding radar signals, cloud heterogeneity induces a severe bias in velocity estimates. Regarding lidar signals, multiple scattering is not negligible. Our results also give some insight into the reliability of lidar signal modeling using independent column approximation.
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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...
