Articles | Volume 23, issue 23
https://doi.org/10.5194/acp-23-14691-2023
https://doi.org/10.5194/acp-23-14691-2023
Research article
 | 
29 Nov 2023
Research article |  | 29 Nov 2023

Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model

Zhangcheng Pei, Sonya L. Fiddes, W. John R. French, Simon P. Alexander, Marc D. Mallet, Peter Kuma, and Adrian McDonald

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Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Zhangcheng Pei on behalf of the Authors (27 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (27 Jul 2023) by Matthew Lebsock
RR by Emily Tansey (15 Aug 2023)
RR by Anonymous Referee #2 (16 Aug 2023)
ED: Publish subject to minor revisions (review by editor) (18 Aug 2023) by Matthew Lebsock
AR by Zhangcheng Pei on behalf of the Authors (26 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (28 Sep 2023) by Matthew Lebsock
AR by Zhangcheng Pei on behalf of the Authors (28 Sep 2023)
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Short summary
In this paper, we use ground-based observations to evaluate a climate model and a satellite product in simulating surface radiation and investigate how radiation biases are influenced by cloud properties over the Southern Ocean. We find that significant radiation biases exist in both the model and satellite. The cloud fraction and cloud occurrence play an important role in affecting radiation biases. We suggest further development for the model and satellite using ground-based observations.
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