Articles | Volume 15, issue 1
Model evaluation paper
 | Highlight paper
13 Jan 2022
Model evaluation paper | Highlight paper |  | 13 Jan 2022

Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models

Eduardo Moreno-Chamarro, Louis-Philippe Caron, Saskia Loosveldt Tomas, Javier Vegas-Regidor, Oliver Gutjahr, Marie-Pierre Moine, Dian Putrasahan, Christopher D. Roberts, Malcolm J. Roberts, Retish Senan, Laurent Terray, Etienne Tourigny, and Pier Luigi Vidale


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-209', Anonymous Referee #1, 23 Jul 2021
    • RC2: 'Reply on RC1', Anonymous Referee #2, 28 Jul 2021
      • AC2: 'Reply on RC2', Eduardo Moreno-Chamarro, 12 Nov 2021
    • AC1: 'Reply on RC1', Eduardo Moreno-Chamarro, 12 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Eduardo Moreno-Chamarro on behalf of the Authors (12 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (22 Nov 2021) by Qiang Wang

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Eduardo Moreno-Chamarro on behalf of the Authors (03 Jan 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (11 Jan 2022) by Qiang Wang
Short summary
Climate models do not fully reproduce observations: they show differences (biases) in regional temperature, precipitation, or cloud cover. Reducing model biases is important to increase our confidence in their ability to reproduce present and future climate changes. Model realism is set by its resolution: the finer it is, the more physical processes and interactions it can resolve. We here show that increasing resolution of up to ~ 25 km can help reduce model biases but not remove them entirely.