Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 20
Articles | Volume 16, issue 20
https://doi.org/10.5194/gmd-16-5729-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5729-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 20
Model description paper
 | 
17 Oct 2023
Model description paper |  | 17 Oct 2023

QES-Plume v1.0: a Lagrangian dispersion model

Fabien Margairaz, Balwinder Singh, Jeremy A. Gibbs, Loren Atwood, Eric R. Pardyjak, and Rob Stoll

Viewed

Total article views: 1,824 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,389 381 54 1,824 41 48
  • HTML: 1,389
  • PDF: 381
  • XML: 54
  • Total: 1,824
  • BibTeX: 41
  • EndNote: 48
Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads (calculated since 12 Dec 2022)

Viewed (geographical distribution)

Total article views: 1,824 (including HTML, PDF, and XML) Thereof 1,756 with geography defined and 68 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Jan 2025
Download
Short summary
The Quick Environmental Simulation (QES) tool is a low-computational-cost fast-response framework. It provides high-resolution wind and concentration information to study complex problems, such as spore or smoke transport, urban pollution, and air quality. This paper presents the particle dispersion model and its validation against analytical solutions and wind-tunnel data for a mock-urban setting. In all cases, the model provides accurate results with competitive computational performance.
Read more