Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 16
Articles | Volume 16, issue 16
https://doi.org/10.5194/gmd-16-4659-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-4659-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 16
Development and technical paper
 | 
18 Aug 2023
Development and technical paper |  | 18 Aug 2023

Dynamic Meteorology-induced Emissions Coupler (MetEmis) development in the Community Multiscale Air Quality (CMAQ): CMAQ-MetEmis

Bok H. Baek, Carlie Coats, Siqi Ma, Chi-Tsan Wang, Yunyao Li, Jia Xing, Daniel Tong, Soontae Kim, and Jung-Hun Woo

Viewed

Total article views: 2,733 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,864 785 84 2,733 92 147
  • HTML: 1,864
  • PDF: 785
  • XML: 84
  • Total: 2,733
  • BibTeX: 92
  • EndNote: 147
Views and downloads (calculated since 25 Jan 2023)
Cumulative views and downloads (calculated since 25 Jan 2023)

Viewed (geographical distribution)

Total article views: 2,733 (including HTML, PDF, and XML) Thereof 2,679 with geography defined and 54 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Apr 2026
Download
Short summary
To enable the direct feedback effects of aerosols and local meteorology in an air quality modeling system without any computational bottleneck, we have developed an inline meteorology-induced emissions coupler module within the U.S. Environmental Protection Agency’s Community Multiscale Air Quality modeling system to dynamically model the complex MOtor Vehicle Emission Simulator (MOVES) on-road mobile emissions inline without a separate dedicated emissions processing model like SMOKE.
Read more
Share