Articles | Volume 16, issue 20
https://doi.org/10.5194/gmd-16-5729-2023
https://doi.org/10.5194/gmd-16-5729-2023
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1256', Bertrand Carissimo, 31 Jan 2023
    • AC1: 'Comment on egusphere-2022-1256', Fabien Margairaz, 15 Aug 2023
  • RC2: 'Comment on egusphere-2022-1256', Jérémy Bernard, 30 May 2023
    • AC1: 'Comment on egusphere-2022-1256', Fabien Margairaz, 15 Aug 2023
  • AC1: 'Comment on egusphere-2022-1256', Fabien Margairaz, 15 Aug 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Fabien Margairaz on behalf of the Authors (15 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Aug 2023) by Leena Järvi
AR by Fabien Margairaz on behalf of the Authors (31 Aug 2023)
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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.