Articles | Volume 19, issue 15
https://doi.org/10.5194/gmd-19-7389-2026
https://doi.org/10.5194/gmd-19-7389-2026
Model description paper
 | 
11 Aug 2026
Model description paper |  | 11 Aug 2026

GLIDE-SOL: a GPU-accelerated global lightweight infrastructure for diagnostic environmental modeling with SOLWEIG

Andrea Zonato, Harsh G. Kamath, Naveen Sudharsan, Luca Monaco, Jonas Kittner, Luise Wolf, Matthias Demuzere, Ariane Middel, Benjamin Bechtel, and Massimo Milelli

Viewed

Total article views: 2,131 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,275 671 185 2,131 170 190
  • HTML: 1,275
  • PDF: 671
  • XML: 185
  • Total: 2,131
  • BibTeX: 170
  • EndNote: 190
Views and downloads (calculated since 17 Apr 2026)
Cumulative views and downloads (calculated since 17 Apr 2026)

Viewed (geographical distribution)

Total article views: 2,131 (including HTML, PDF, and XML) Thereof 1,960 with geography defined and 171 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 14 Oct 2026
Download
Short summary
Cities need fast, reliable heat-stress maps to plan cooling measures and protect people. We built an automated workflow that gathers global public data, runs an outdoor comfort model much faster on graphics processing units, and adds simple corrections for wind and night-time warming. Tested in Dortmund against many sensors, errors fell from about ten to under three °C.
Share