Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 24
Articles | Volume 18, issue 24
https://doi.org/10.5194/gmd-18-10143-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-10143-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 24
Development and technical paper
 | 
18 Dec 2025
Development and technical paper |  | 18 Dec 2025

GUST1.0: a GPU-accelerated 3D urban surface temperature model

Shuo-Jun Mei, Guanwen Chen, Jian Hang, and Ting Sun

Viewed

Total article views: 3,853 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,752 1,020 81 3,853 95 117
  • HTML: 2,752
  • PDF: 1,020
  • XML: 81
  • Total: 3,853
  • BibTeX: 95
  • EndNote: 117
Views and downloads (calculated since 19 May 2025)
Cumulative views and downloads (calculated since 19 May 2025)

Viewed (geographical distribution)

Total article views: 3,853 (including HTML, PDF, and XML) Thereof 3,818 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 03 May 2026
Download
Short summary
Cities face growing heat challenges due to dense buildings, but predicting surface temperatures is complex because sunlight, airflow, and heat radiation interact. By simulating how sunlight bounces between structures and how heat transfers through materials, we accurately predicted temperatures on roofs, roads, and walls. The model successfully handled intricate city layouts thanks to GPU speed. By revealing which heat matters most, we aim to guide smarter city designs for a warming climate.
Read more
Share