Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 18
Articles | Volume 17, issue 18
https://doi.org/10.5194/gmd-17-7029-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-7029-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 18
Model evaluation paper
 | 
19 Sep 2024
Model evaluation paper |  | 19 Sep 2024

Atmospheric-river-induced precipitation in California as simulated by the regionally refined Simple Convective Resolving E3SM Atmosphere Model (SCREAM) Version 0

Peter A. Bogenschutz, Jishi Zhang, Qi Tang, and Philip Cameron-Smith

Viewed

Total article views: 1,733 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
926 192 615 1,733 57 86
  • HTML: 926
  • PDF: 192
  • XML: 615
  • Total: 1,733
  • BibTeX: 57
  • EndNote: 86
Views and downloads (calculated since 30 Apr 2024)
Cumulative views and downloads (calculated since 30 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,733 (including HTML, PDF, and XML) Thereof 1,717 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Oct 2025
Download
Short summary
Using high-resolution and state-of-the-art modeling techniques we simulate five atmospheric river events for California to test the capability to represent precipitation for these events. We find that our model is able to capture the distribution of precipitation very well but suffers from overestimating the precipitation amounts over high elevation. Increasing the resolution further has no impact on reducing this bias, while increasing the domain size does have modest impacts.
Read more
Share