Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 24
Articles | Volume 15, issue 24
https://doi.org/10.5194/gmd-15-8999-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8999-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 24
Model experiment description paper
 | 
16 Dec 2022
Model experiment description paper |  | 16 Dec 2022

A method for transporting cloud-resolving model variance in a multiscale modeling framework

Walter Hannah and Kyle Pressel

Viewed

Total article views: 2,006 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,678 278 50 2,006 46 39
  • HTML: 1,678
  • PDF: 278
  • XML: 50
  • Total: 2,006
  • BibTeX: 46
  • EndNote: 39
Views and downloads (calculated since 06 Jul 2022)
Cumulative views and downloads (calculated since 06 Jul 2022)

Viewed (geographical distribution)

Total article views: 2,006 (including HTML, PDF, and XML) Thereof 1,955 with geography defined and 51 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Sep 2024
Download
Short summary
A multiscale modeling framework couples two models of the atmosphere that each cover different scale ranges. Traditionally, fluctuations in the small-scale model are not transported by the flow on the large-scale model grid, but this is hypothesized to be responsible for a persistent, unphysical checkerboard pattern. A method is presented to facilitate the transport of these small-scale fluctuations, analogous to how small-scale clouds and turbulence are transported in the real atmosphere.
Read more