Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 24
Articles | Volume 16, issue 24
https://doi.org/10.5194/gmd-16-7275-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-7275-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 24
Model description paper
 | 
18 Dec 2023
Model description paper |  | 18 Dec 2023

Representation of atmosphere-induced heterogeneity in land–atmosphere interactions in E3SM–MMFv2

Jungmin Lee, Walter M. Hannah, and David C. Bader

Viewed

Total article views: 1,505 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
984 452 69 1,505 73 106
  • HTML: 984
  • PDF: 452
  • XML: 69
  • Total: 1,505
  • BibTeX: 73
  • EndNote: 106
Views and downloads (calculated since 25 Apr 2023)
Cumulative views and downloads (calculated since 25 Apr 2023)

Viewed (geographical distribution)

Total article views: 1,505 (including HTML, PDF, and XML) Thereof 1,458 with geography defined and 47 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Oct 2025
Download
Short summary
Representing accurate land–atmosphere interaction processes is overlooked in weather and climate models. In this study, we propose three methods to represent land–atmosphere coupling in the Energy Exascale Earth System Model (E3SM) with the Multi-scale Modeling Framework (MMF) approach. In this study, we introduce spatially homogeneous and heterogeneous land–atmosphere interaction processes within the cloud-resolving model domain. Our 5-year simulations reveal only small differences.
Read more
Share