Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 22
Articles | Volume 17, issue 22
https://doi.org/10.5194/gmd-17-8399-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-17-8399-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 22
Development and technical paper
 | 
27 Nov 2024
Development and technical paper |  | 27 Nov 2024

Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0)

Jeffrey H. Curtis, Nicole Riemer, and Matthew West

Viewed

Total article views: 1,361 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,084 218 59 1,361 110 168
  • HTML: 1,084
  • PDF: 218
  • XML: 59
  • Total: 1,361
  • BibTeX: 110
  • EndNote: 168
Views and downloads (calculated since 19 Apr 2024)
Cumulative views and downloads (calculated since 19 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,361 (including HTML, PDF, and XML) Thereof 1,353 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
This paper introduces a numerical method for simulating particle-based aerosol transport in atmospheric models. We detail the various numerical properties of the advection order method and demonstrate its implementation in a 3D weather prediction model (WRF) for the first time. Particle-based techniques improve the accuracy of aerosol size and composition predictions, which are key for aerosol–cloud and aerosol–radiation interactions.
Read more
Share
Special issue
Particle-based methods for simulating atmospheric aerosol...