Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 15
Articles | Volume 19, issue 15
https://doi.org/10.5194/gmd-19-7389-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-7389-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 15
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

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Latest update: 04 Nov 2026
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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.
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