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

Viewed

Total article views: 1,970 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,503 399 68 1,970 135 33 33
  • HTML: 1,503
  • PDF: 399
  • XML: 68
  • Total: 1,970
  • Supplement: 135
  • BibTeX: 33
  • EndNote: 33
Views and downloads (calculated since 10 Jan 2022)
Cumulative views and downloads (calculated since 10 Jan 2022)

Viewed (geographical distribution)

Total article views: 1,970 (including HTML, PDF, and XML) Thereof 1,887 with geography defined and 83 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Nov 2024
Download
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.