Articles | Volume 24, issue 10
https://doi.org/10.5194/acp-24-5907-2024
https://doi.org/10.5194/acp-24-5907-2024
Research article
 | 
23 May 2024
Research article |  | 23 May 2024

Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model

Ulrike Proske, Sylvaine Ferrachat, and Ulrike Lohmann

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2783', Anonymous Referee #1, 03 Jan 2024
    • AC1: 'Reply on RC1 and RC2', Ulrike Proske, 23 Feb 2024
  • RC2: 'Comment on egusphere-2023-2783', Anonymous Referee #2, 03 Jan 2024
    • AC1: 'Reply on RC1 and RC2', Ulrike Proske, 23 Feb 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Ulrike Proske on behalf of the Authors (23 Feb 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (23 Feb 2024) by Yuan Wang
RR by Anonymous Referee #2 (02 Mar 2024)
RR by Anonymous Referee #1 (11 Mar 2024)
ED: Publish subject to minor revisions (review by editor) (12 Mar 2024) by Yuan Wang
AR by Ulrike Proske on behalf of the Authors (18 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (26 Mar 2024) by Yuan Wang
AR by Ulrike Proske on behalf of the Authors (27 Mar 2024)
Download
Short summary
Climate models include treatment of aerosol particles because these influence clouds and radiation. Over time their representation has grown increasingly detailed. This complexity may hinder our understanding of model behaviour. Thus here we simplify the aerosol representation of our climate model by prescribing mean concentrations, which saves run time and helps to discover unexpected model behaviour. We conclude that simplifications provide a new perspective for model study and development.
Altmetrics
Final-revised paper
Preprint