Articles | Volume 17, issue 1
Model experiment description paper
12 Jan 2024
Model experiment description paper |  | 12 Jan 2024

High-resolution downscaling of CMIP6 Earth system and global climate models using deep learning for Iberia

Pedro M. M. Soares, Frederico Johannsen, Daniela C. A. Lima, Gil Lemos, Virgílio A. Bento, and Angelina Bushenkova


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2023-136', Juan Antonio Añel, 31 Jul 2023
    • AC1: 'Reply on CEC1', Frederico Johannsen, 07 Aug 2023
    • AC2: 'Reply on CEC1', Frederico Johannsen, 14 Sep 2023
  • RC1: 'Comment on gmd-2023-136', Anonymous Referee #1, 08 Sep 2023
    • AC3: 'Reply on RC1', Frederico Johannsen, 15 Sep 2023
  • RC2: 'Comment on gmd-2023-136', Anonymous Referee #2, 18 Oct 2023
    • AC4: 'Reply on RC2', Frederico Johannsen, 24 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Frederico Johannsen on behalf of the Authors (24 Oct 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (01 Nov 2023) by Lele Shu
RR by Anonymous Referee #2 (06 Nov 2023)
RR by Anonymous Referee #1 (13 Nov 2023)
ED: Publish subject to technical corrections (19 Nov 2023) by Lele Shu
AR by Frederico Johannsen on behalf of the Authors (24 Nov 2023)  Author's response   Manuscript 
Short summary
This study uses deep learning (DL) to downscale global climate models for the Iberian Peninsula. Four DL architectures were evaluated and trained using historical climate data and then used to downscale future projections from the global models. These show agreement with the original models and reveal a warming of 2 ºC to 6 ºC, along with decreasing precipitation in western Iberia after 2040. This approach offers key regional climate change information for adaptation strategies in the region.