Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 2
Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-685-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-685-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 2
Model evaluation paper
 | 
26 Jan 2024
Model evaluation paper |  | 26 Jan 2024

Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1

Roya Ghahreman, Wanmin Gong, Paul A. Makar, Alexandru Lupu, Amanda Cole, Kulbir Banwait, Colin Lee, and Ayodeji Akingunola

Viewed

Total article views: 1,107 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
797 256 54 1,107 101 49 39
  • HTML: 797
  • PDF: 256
  • XML: 54
  • Total: 1,107
  • Supplement: 101
  • BibTeX: 49
  • EndNote: 39
Views and downloads (calculated since 06 Jun 2023)
Cumulative views and downloads (calculated since 06 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,107 (including HTML, PDF, and XML) Thereof 1,097 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Nov 2024
Download
Short summary
The article explores the impact of different representations of below-cloud scavenging on model biases. A new scavenging scheme and precipitation-phase partitioning improve the model's performance, with better SO42- scavenging and wet deposition of NO3- and NH4+.
Read more