Articles | Volume 33, issue 1
https://doi.org/10.5194/npg-33-73-2026
https://doi.org/10.5194/npg-33-73-2026
Research article
 | 
12 Feb 2026
Research article |  | 12 Feb 2026

MESMER-RCM: a probabilistic climate emulator for regional warming projections

Hao Pan, Lukas Gudmundsson, Mathias Hauser, Jonas Schwaab, Yann Quilcaille, and Sonia I. Seneviratne

Viewed

Total article views: 6,206 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,239 737 230 6,206 306 269 316
  • HTML: 5,239
  • PDF: 737
  • XML: 230
  • Total: 6,206
  • Supplement: 306
  • BibTeX: 269
  • EndNote: 316
Views and downloads (calculated since 02 Jul 2025)
Cumulative views and downloads (calculated since 02 Jul 2025)

Viewed (geographical distribution)

Total article views: 6,206 (including HTML, PDF, and XML) Thereof 6,121 with geography defined and 85 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 27 Sep 2026
Download
Short summary
Existing regional climate model (RCM) emulators mainly provide deterministic emulations, while internal RCM variability is typically not represented. We develop MESMER-RCM, a probabilistic RCM emulator for annual 2-m temperature, using a simple and physically interpretable approach. We demonstrate its ability to emulate both RCM trends and internal variability in a high-dimensional spatial setting, where existing approaches typically struggle.
Share