Articles | Volume 17, issue 4
Research article
22 Feb 2024
Research article |  | 22 Feb 2024

Global evaluation of fast radiative transfer model coefficients for early meteorological satellite sensors

Bruna Barbosa Silveira, Emma Catherine Turner, and Jérôme Vidot


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-125', Anonymous Referee #1, 10 Aug 2023
    • AC1: 'Reply on RC1', Bruna Barbosa Silveira, 14 Oct 2023
  • RC2: 'Comment on amt-2023-125', Anonymous Referee #2, 17 Aug 2023
    • AC2: 'Reply on RC2', Bruna Barbosa Silveira, 14 Oct 2023
  • RC3: 'Comment on amt-2023-125', Anonymous Referee #3, 29 Aug 2023
    • AC3: 'Reply on RC3', Bruna Barbosa Silveira, 14 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Bruna Barbosa Silveira on behalf of the Authors (15 Oct 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 Oct 2023) by Lars Hoffmann
RR by Anonymous Referee #2 (06 Nov 2023)
ED: Publish subject to technical corrections (07 Nov 2023) by Lars Hoffmann
AR by Bruna Barbosa Silveira on behalf of the Authors (24 Nov 2023)  Author's response   Manuscript 
Short summary
A fast radiative transfer model, used to speed up the full spectral simulation of meteorological satellite channels in weather forecast models, is tested using 25 000 modelled atmospheres. The differences between calculations from the fast and the high-resolution reference models are examined for nine historic weather satellite instruments. The study confirms that a reduced set of 83 atmospheric profiles is robust enough to estimate the scale of the differences obtained from the larger sample.