Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/gmd-19-4513-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-4513-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Model evaluation paper
 | 
27 May 2026
Model evaluation paper |  | 27 May 2026

Simulation of wind and solar energy generation over California with E3SM SCREAM regionally refined models at 3.25 km and 800 m resolutions

Jishi Zhang, Jean-Christophe Golaz, Matthew Vincent Signorotti, Hsiang-He Lee, Peter Bogenschutz, Minda Monteagudo, Paul Aaron Ullrich, Robert S. Arthur, Stephen Po-Chedley, Philip Cameron-Smith, and Jean-Paul Watson

Viewed

Total article views: 14,251 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
11,368 2,660 223 14,251 235 205
  • HTML: 11,368
  • PDF: 2,660
  • XML: 223
  • Total: 14,251
  • BibTeX: 235
  • EndNote: 205
Views and downloads (calculated since 04 Sep 2025)
Cumulative views and downloads (calculated since 04 Sep 2025)

Viewed (geographical distribution)

Total article views: 14,251 (including HTML, PDF, and XML) Thereof 14,037 with geography defined and 214 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 17 Aug 2026
Download
Short summary
We ran a convection-permitting model with regional mesh refinement (3.25 km and 800 m) to simulate present-day wind and solar capacity factors over California, coupling it to an energy generation model. The high-resolution models captured realistic seasonal and diurnal cycles, with wind markedly better than a 25 km model and solar outperforming a 3 km operational forecast. We highlight the critical role of resolution, modeling assumptions, and data reliability in renewable energy assessment.
Read more
Share