Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/gmd-16-705-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-705-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
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

Viewed

Total article views: 2,221 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,682 455 84 2,221 46 57
  • HTML: 1,682
  • PDF: 455
  • XML: 84
  • Total: 2,221
  • BibTeX: 46
  • EndNote: 57
Views and downloads (calculated since 04 Aug 2022)
Cumulative views and downloads (calculated since 04 Aug 2022)

Viewed (geographical distribution)

Total article views: 2,221 (including HTML, PDF, and XML) Thereof 2,104 with geography defined and 117 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Dec 2024
Download
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.
Read more