Articles | Volume 16, issue 2
https://doi.org/10.5194/gmd-16-705-2023
https://doi.org/10.5194/gmd-16-705-2023
Development and technical paper
 | 
30 Jan 2023
Development and technical paper |  | 30 Jan 2023

Monthly-scale extended predictions using the atmospheric model coupled with a slab ocean

Zhenming Wang, Shaoqing Zhang, Yishuai Jin, Yinglai Jia, Yangyang Yu, Yang Gao, Xiaolin Yu, Mingkui Li, Xiaopei Lin, and Lixin Wu

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2022-159', Astrid Kerkweg, 15 Aug 2022
    • CEC2: 'Reply on CEC1', Astrid Kerkweg, 15 Aug 2022
      • AC2: 'Reply on CEC2', Zhenming Wang, 16 Aug 2022
    • AC1: 'Reply on CEC1', Zhenming Wang, 16 Aug 2022
  • RC1: 'Comment on gmd-2022-159', Anonymous Referee #1, 21 Sep 2022
    • AC3: 'Reply on RC1', Zhenming Wang, 19 Oct 2022
  • RC2: 'Comment on gmd-2022-159', Anonymous Referee #2, 04 Oct 2022
    • AC4: 'Reply on RC2', Zhenming Wang, 19 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Zhenming Wang on behalf of the Authors (19 Oct 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 Oct 2022) by Shu-Chih Yang
RR by Anonymous Referee #1 (14 Nov 2022)
RR by Anonymous Referee #2 (25 Nov 2022)
ED: Publish subject to minor revisions (review by editor) (19 Dec 2022) by Shu-Chih Yang
AR by Zhenming Wang on behalf of the Authors (30 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 Jan 2023) by Shu-Chih Yang
AR by Zhenming Wang on behalf of the Authors (15 Jan 2023)  Manuscript 
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Short summary
To improve the numerical model predictability of monthly extended-range scales, we use the simplified slab ocean model (SOM) to restrict the complicated sea surface temperature (SST) bias from a 3-D dynamical ocean model. As for SST prediction, whether in space or time, the WRF-SOM is verified to have better performance than the WRF-ROMS, which has a significant impact on the atmosphere. For extreme weather events such as typhoons, the predictions of WRF-SOM are in good agreement with WRF-ROMS.