Articles | Volume 15, issue 6
Atmos. Meas. Tech., 15, 1729–1754, 2022
https://doi.org/10.5194/amt-15-1729-2022
Atmos. Meas. Tech., 15, 1729–1754, 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 et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-312', Anonymous Referee #3, 16 Dec 2021
  • RC2: 'Comment on amt-2021-312', Anonymous Referee #3, 18 Dec 2021
  • RC3: 'Comment on amt-2021-312', Anonymous Referee #1, 27 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by V. Shcherbakov on behalf of the Authors (01 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (14 Feb 2022) by Alexander Kokhanovsky
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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.