Articles | Volume 22, issue 17
Research article
08 Sep 2022
Research article |  | 08 Sep 2022

Model output statistics (MOS) applied to Copernicus Atmospheric Monitoring Service (CAMS) O3 forecasts: trade-offs between continuous and categorical skill scores

Hervé Petetin, Dene Bowdalo, Pierre-Antoine Bretonnière, Marc Guevara, Oriol Jorba, Jan Mateu Armengol, Margarida Samso Cabre, Kim Serradell, Albert Soret, and Carlos Pérez Garcia-Pando


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-864', Anonymous Referee #1, 26 Jan 2022
    • AC1: 'Reply on RC1', Hervé Petetin, 02 Jun 2022
  • RC2: 'Comment on acp-2021-864', Anonymous Referee #3, 03 Mar 2022
    • AC2: 'Reply on RC2', Hervé Petetin, 02 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Hervé Petetin on behalf of the Authors (02 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Jun 2022) by Pedro Jimenez-Guerrero
RR by Anonymous Referee #3 (23 Jun 2022)
RR by Anonymous Referee #1 (27 Jun 2022)
ED: Publish as is (04 Jul 2022) by Pedro Jimenez-Guerrero
AR by Hervé Petetin on behalf of the Authors (25 Jul 2022)
Short summary
This study investigates the extent to which ozone forecasts provided by the Copernicus Atmospheric Monitoring Service (CAMS) can be improved using surface observations and state-of-the-art statistical methods. Through a case study over the Iberian Peninsula in 2018–2019, it unambiguously demonstrates the value of these methods for improving the raw CAMS O3 forecasts while at the same time highlighting the complexity of improving the detection of the highest O3 concentrations.
Final-revised paper