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

Szczap, Frédéric; Alkasem, Alaa; Mioche, Guillaume; Shcherbakov, Valery; Cornet, Céline; Delanoë, Julien; Gour, Yahya; Jourdan, Olivier; Banson, Sandra; Bray, Edouard

doi:https://doi.org/10.5194/amt-14-199-2021

Articles | Volume 14, issue 1

https://doi.org/10.5194/amt-14-199-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-199-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

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Final revised paper (published on 12 Jan 2021)
Preprint (discussion started on 08 Jul 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review', Anonymous Referee #1, 18 Sep 2020
- AC1: 'Response to reviewer 1', Frédéric SZCZAP, 20 Oct 2020
RC2: 'Review of "McRALI: a Monte Carlo high spectral resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing" by Szczap et al.', Anonymous Referee #2, 18 Sep 2020
- AC2: 'Response to reviewer 2', Frédéric SZCZAP, 20 Oct 2020

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.