Articles | Volume 15, issue 5
Atmos. Meas. Tech., 15, 1123–1144, 2022
https://doi.org/10.5194/amt-15-1123-2022
Atmos. Meas. Tech., 15, 1123–1144, 2022
https://doi.org/10.5194/amt-15-1123-2022

Research article 04 Mar 2022

Research article | 04 Mar 2022

Aerosol models from the AERONET database: application to surface reflectance validation

Jean-Claude Roger 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-2021-322', Anonymous Referee #2, 19 Dec 2021
    • AC2: 'Reply on RC1', Jean-Claude Roger, 29 Jan 2022
  • AC1: 'Reply on RC1', Jean-Claude Roger, 24 Dec 2021
  • RC2: 'Comment on amt-2021-322', Anonymous Referee #1, 24 Dec 2021
    • AC3: 'Reply on RC2', Jean-Claude Roger, 29 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jean-Claude Roger on behalf of the Authors (29 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (04 Feb 2022) by Marloes Penning de Vries
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Short summary
From measurements of the sky performed by AERONET, we determined the microphysical properties of the atmospheric particles (aerosols) for each AERONET site. We used the aerosol optical thickness and its variation over the visible spectrum. This allows us to determine an aerosol model useful for (but not only) the validation of the surface reflectance satellite-derived product. The impact of the aerosol model uncertainties on the surface reflectance validation has been found to be 1 % to 3 %.