Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5529-2022
https://doi.org/10.5194/gmd-15-5529-2022
Model evaluation paper
 | 
20 Jul 2022
Model evaluation paper |  | 20 Jul 2022

Improving Madden–Julian oscillation simulation in atmospheric general circulation models by coupling with a one-dimensional snow–ice–thermocline ocean model

Wan-Ling Tseng, Huang-Hsiung Hsu, Yung-Yao Lan, Wei-Liang Lee, Chia-Ying Tu, Pei-Hsuan Kuo, Ben-Jei Tsuang, and Hsin-Chien Liang

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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-2021-381', Anonymous Referee #1, 02 Feb 2022
  • RC2: 'Comment on gmd-2021-381', Anonymous Referee #2, 10 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Wan-Ling Tseng on behalf of the Authors (07 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (04 Jul 2022) by Richard Neale
AR by Wan-Ling Tseng on behalf of the Authors (05 Jul 2022)  Author's response    Manuscript
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Short summary
We show that coupling a high-resolution one-column ocean model to three atmospheric general circulation models dramatically improves Madden–Julian oscillation (MJO) simulations. It suggests two major improvements to the coupling process in the preconditioning phase and strongest convection phase over the Maritime Continent. Our results demonstrate a simple but effective way to significantly improve MJO simulations and potentially seasonal to subseasonal prediction.