Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 12
Articles | Volume 17, issue 12
https://doi.org/10.5194/gmd-17-5009-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5009-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 12
Development and technical paper
 | 
27 Jun 2024
Development and technical paper |  | 27 Jun 2024

A computationally efficient parameterization of aerosol, cloud and precipitation pH for application at global and regional scale (EQSAM4Clim-v12)

Swen Metzger, Samuel Rémy, Jason E. Williams, Vincent Huijnen, and Johannes Flemming

Viewed

Total article views: 1,519 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,221 235 63 1,519 66 67 108
  • HTML: 1,221
  • PDF: 235
  • XML: 63
  • Total: 1,519
  • Supplement: 66
  • BibTeX: 67
  • EndNote: 108
Views and downloads (calculated since 12 Dec 2023)
Cumulative views and downloads (calculated since 12 Dec 2023)

Viewed (geographical distribution)

Total article views: 1,519 (including HTML, PDF, and XML) Thereof 1,506 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Oct 2025
Download
Short summary
EQSAM4Clim has recently been revised to provide an accurate and efficient method for calculating the acidity of atmospheric particles. It is based on an analytical concept that is sufficiently fast and free of numerical noise, which makes it attractive for air quality forecasting. Version 12 allows the calculation of aerosol composition based on the gas–liquid–solid and the reduced gas–liquid partitioning with the associated water uptake for both cases, including the acidity of the aerosols.
Read more
Share