Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/gmd-16-335-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-335-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Development and technical paper
 | 
12 Jan 2023
Development and technical paper |  | 12 Jan 2023

Combining regional mesh refinement with vertically enhanced physics to target marine stratocumulus biases as demonstrated in the Energy Exascale Earth System Model version 1

Peter A. Bogenschutz, Hsiang-He Lee, Qi Tang, and Takanobu Yamaguchi

Viewed

Total article views: 1,834 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,423 375 36 1,834 33 33
  • HTML: 1,423
  • PDF: 375
  • XML: 36
  • Total: 1,834
  • BibTeX: 33
  • EndNote: 33
Views and downloads (calculated since 17 Aug 2022)
Cumulative views and downloads (calculated since 17 Aug 2022)

Viewed (geographical distribution)

Total article views: 1,834 (including HTML, PDF, and XML) Thereof 1,740 with geography defined and 94 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
Models that are used to simulate and predict climate often have trouble representing specific cloud types, such as stratocumulus, that are particularly thin in the vertical direction. It has been found that increasing the model resolution can help improve this problem. In this paper, we develop a novel framework that increases the horizontal and vertical resolutions only for areas of the globe that contain stratocumulus, hence reducing the model runtime while providing better results.
Read more