Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-7855-2024
https://doi.org/10.5194/gmd-17-7855-2024
Model description paper
 | 
07 Nov 2024
Model description paper |  | 07 Nov 2024

Development of the MPAS-CMAQ coupled system (V1.0) for multiscale global air quality modeling

David C. Wong, Jeff Willison, Jonathan E. Pleim, Golam Sarwar, James Beidler, Russ Bullock, Jerold A. Herwehe, Rob Gilliam, Daiwen Kang, Christian Hogrefe, George Pouliot, and Hosein Foroutan

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Referee Comment on gmd-2024-52', Matthias Karl, 08 Jul 2024
  • RC2: 'Comment on gmd-2024-52', Anonymous Referee #2, 25 Jul 2024
  • AC1: 'gmd-2024-52 response for referee #1 comments', David Wong, 30 Aug 2024
  • AC2: 'gmd-2024-52 response for referee #2 comments', David Wong, 30 Aug 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by David Wong on behalf of the Authors (30 Aug 2024)  Author's response   Author's tracked changes 
EF by Natascha Töpfer (03 Sep 2024)  Manuscript 
ED: Referee Nomination & Report Request started (03 Sep 2024) by Christoph Knote
RR by Matthias Karl (07 Sep 2024)
ED: Publish subject to technical corrections (09 Sep 2024) by Christoph Knote
ED: Publish as is (12 Sep 2024) by Christoph Knote
AR by David Wong on behalf of the Authors (13 Sep 2024)  Manuscript 
Download
Short summary
This work describe how we linked the meteorological Model for Prediction Across Scales – Atmosphere (MPAS-A) with the Community Multiscale Air Quality (CMAQ) air quality model to form a coupled modelling system. This could be used to study air quality or climate and air quality interaction at a global scale. This new model scales well in high-performance computing environments and performs well with respect to ground surface networks in terms of ozone and PM2.5.