Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 21
Articles | Volume 15, issue 21
https://doi.org/10.5194/gmd-15-8135-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8135-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 21
Model evaluation paper
 | 
11 Nov 2022
Model evaluation paper |  | 11 Nov 2022

Advancing precipitation prediction using a new-generation storm-resolving model framework – SIMA-MPAS (V1.0): a case study over the western United States

Xingying Huang, Andrew Gettelman, William C. Skamarock, Peter Hjort Lauritzen, Miles Curry, Adam Herrington, John T. Truesdale, and Michael Duda

Viewed

Total article views: 2,201 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,607 532 62 2,201 159 56 57
  • HTML: 1,607
  • PDF: 532
  • XML: 62
  • Total: 2,201
  • Supplement: 159
  • BibTeX: 56
  • EndNote: 57
Views and downloads (calculated since 17 Jun 2022)
Cumulative views and downloads (calculated since 17 Jun 2022)

Viewed (geographical distribution)

Total article views: 2,201 (including HTML, PDF, and XML) Thereof 2,068 with geography defined and 133 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Nov 2024
Download
Short summary
We focus on the recent development of a state-of-the-art storm-resolving global climate model and investigate how this next-generation model performs for precipitation prediction over the western USA. Results show realistic representations of precipitation with significantly enhanced snowpack over complex terrains. The model evaluation advances the unified modeling of large-scale forcing constraints and realistic fine-scale features to advance multi-scale climate predictions and changes.
Read more