Articles | Volume 23, issue 15
Research article
04 Aug 2023
Research article |  | 04 Aug 2023

Insights of warm-cloud biases in Community Atmospheric Model 5 and 6 from the single-column modeling framework and Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) observations

Yuan Wang, Xiaojian Zheng, Xiquan Dong, Baike Xi, and Yuk L. Yung


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-587', Anonymous Referee #1, 02 May 2023
    • AC1: 'Reply on RC1', Yuan Wang, 31 May 2023
  • RC2: 'Comment on egusphere-2023-587', Anonymous Referee #2, 05 May 2023
    • AC2: 'Reply on RC2', Yuan Wang, 31 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yuan Wang on behalf of the Authors (31 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (05 Jun 2023) by Matthew Lebsock
RR by Anonymous Referee #2 (15 Jun 2023)
ED: Publish subject to technical corrections (28 Jun 2023) by Matthew Lebsock
AR by Yuan Wang on behalf of the Authors (30 Jun 2023)  Manuscript 
Short summary
Marine boundary layer clouds remain poorly predicted in global climate models due to multiple entangled uncertainty sources. This study uses the in situ observations from a recent field campaign to constrain and evaluate cloud physics in a simplified version of a climate model. Progress and remaining issues in the cloud physics parameterizations are identified. We systematically evaluate the impacts of large-scale forcing, microphysical scheme, and aerosol concentrations on the cloud property.
Final-revised paper