Articles | Volume 14, issue 1
Research article
12 Jan 2021
Research article |  | 12 Jan 2021

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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Frédéric SZCZAP on behalf of the Authors (20 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Oct 2020) by Ad Stoffelen
ED: Publish as is (18 Nov 2020) by Ad Stoffelen
AR by Frédéric SZCZAP on behalf of the Authors (18 Nov 2020)  Author's response    Manuscript
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.