Articles | Volume 16, issue 21
https://doi.org/10.5194/gmd-16-6355-2023
https://doi.org/10.5194/gmd-16-6355-2023
Methods for assessment of models
 | 
08 Nov 2023
Methods for assessment of models |  | 08 Nov 2023

Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations

Shuaiqi Tang, Adam C. Varble, Jerome D. Fast, Kai Zhang, Peng Wu, Xiquan Dong, Fan Mei, Mikhail Pekour, Joseph C. Hardin, and Po-Lun Ma

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-51', Anonymous Referee #1, 23 Jun 2023
  • RC2: 'Comment on gmd-2023-51', Anonymous Referee #2, 07 Aug 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Shuaiqi Tang on behalf of the Authors (29 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Sep 2023) by Axel Lauer
RR by Anonymous Referee #1 (19 Sep 2023)
ED: Publish subject to minor revisions (review by editor) (19 Sep 2023) by Axel Lauer
AR by Shuaiqi Tang on behalf of the Authors (29 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (02 Oct 2023) by Axel Lauer
AR by Shuaiqi Tang on behalf of the Authors (02 Oct 2023)
Short summary
To assess the ability of Earth system model (ESM) predictions, we developed a tool called ESMAC Diags to understand how aerosols, clouds, and aerosol–cloud interactions are represented in ESMs. This paper describes its version 2 functionality. We compared the model predictions with measurements taken by planes, ships, satellites, and ground instruments over four regions across the world. Results show that this new tool can help identify model problems and guide future development of ESMs.