Articles | Volume 15, issue 20
Research article
21 Oct 2022
Research article |  | 21 Oct 2022

Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation

Milagros E. Herrera, Oleg Dubovik, Benjamin Torres, Tatyana Lapyonok, David Fuertes, Anton Lopatin, Pavel Litvinov, Cheng Chen, Jose Antonio Benavent-Oltra, Juan L. Bali, and Pablo R. Ristori


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-104', Anonymous Referee #1, 09 May 2022
    • AC1: 'Reply on RC1', Milagros Herrera, 17 Aug 2022
  • CC1: 'Comment on amt-2022-104 from I. Veselovskii', Igor Veselovskii, 22 May 2022
    • AC3: 'Reply on CC1', Milagros Herrera, 17 Aug 2022
  • RC2: 'Comment on amt-2022-104', Feng Xu, 31 May 2022
    • AC2: 'Reply on RC2', Milagros Herrera, 17 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Milagros Herrera on behalf of the Authors (17 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (27 Aug 2022) by Daniel Perez-Ramirez
RR by Feng Xu (28 Aug 2022)
RR by Anonymous Referee #1 (06 Sep 2022)
ED: Publish as is (09 Sep 2022) by Daniel Perez-Ramirez
Short summary
This study deals with the dynamic error estimates of the aerosol-retrieved properties by the GRASP algorithm, which are provided for directly retrieved and derived parameters. Moreover, GRASP provides full covariance matrices that appear to be a useful approach for optimizing observation schemes and retrieval set-ups. The validation of the retrieved dynamic error estimates is done through real and synthetic measurements using sun photometer and lidar observations.