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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/amt-2020-236
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-236
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  08 Jul 2020

08 Jul 2020

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A revised version of this preprint is currently under review for the journal AMT.

McRALI: a Monte Carlo high spectral resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing

Frédéric Szczap1, Alaa Alkasem1, Guillaume Mioche1,2, Valery Shcherbakov1,2, Céline Cornet3, Julien Delanoë4, Yahya Gour1,5, Olivier Jourdan1, Sandra Banson1, and Edouard Bray1 Frédéric Szczap et al.
  • 1Université Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, France
  • 2Université Clermont Auvergne, Institut Universitaire de Technologie d’Allier, 03100 Montluçon, France
  • 3UniversitéLille, CNRS, UMR 8518, Laboratoire d’OptiqueAtmosphérique (LOA), F-59000 Lille, France
  • 4Université de Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, Sorbonne Université, CNRS, Laboratoire Atmosphère, Milieu, Observations Spatiales (LATMOS), Institut Pierre Simon Laplace (IPSL), Guyancourt, France
  • 5Université Clermont Auvergne, Institut Universitaire de Technologie d’Allier, 03200 Vichy, France

Abstract. The aim of this paper is to present the Monte-Carlo code McRALI that provides simulations, under multiple scattering regimes of polarized high spectral resolution (HRS) lidar as well as Doppler radar observations for three-dimensional (3D) cloudy atmosphere. The effects of non-uniform beam filling (NUBF) on HSR lidar and Doppler radar signals related to the EarthCARE mission are investigated with the help of an academic 3D box-cloud, characterized by a single isolated jump in cloud optical depth, assuming vertically constant wind velocity. Regarding Doppler radar signals, it is confirmed that NUBF induces a severe bias in velocity estimates. The correlation of the NUBF bias of Doppler velocity with the horizontal gradient of reflectivity shows a correlation coefficient value around 0.15 m s−1(dBZ km−1)−1 close to that given in scientific literature. Regarding HSR lidar signals, we confirm that multiple scattering processes are not negligible. We show that NUBF effects on molecular, particulate and total attenuated backscatter are mainly due to unresolved variability of cloud inside the receiver field of view, and to a lesser extent, to the horizontal photon transport. This finding gives some insight into the reliability of lidar signal modelling using independent column approximation (ICA).

Frédéric Szczap et al.

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Frédéric Szczap et al.

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Latest update: 27 Oct 2020
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Short summary
Spaceborne LIDAR and RADAR are suitable tools to investigate vertical properties of clouds on a global scale. This paper presents the code McRALI that provides simulations of lidar and radar signals of 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 give also some insight into the reliability of lidar signal modelling using independent column approximation.
Spaceborne LIDAR and RADAR are suitable tools to investigate vertical properties of clouds on a...
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