Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 17
Articles | Volume 16, issue 17
https://doi.org/10.5194/gmd-16-5237-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5237-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 17
Model description paper
 | 
13 Sep 2023
Model description paper |  | 13 Sep 2023

J-GAIN v1.1: a flexible tool to incorporate aerosol formation rates obtained by molecular models into large-scale models

Daniel Yazgi and Tinja Olenius

Viewed

Total article views: 2,775 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,895 737 143 2,775 181 257
  • HTML: 1,895
  • PDF: 737
  • XML: 143
  • Total: 2,775
  • BibTeX: 181
  • EndNote: 257
Views and downloads (calculated since 27 Mar 2023)
Cumulative views and downloads (calculated since 27 Mar 2023)

Viewed (geographical distribution)

Total article views: 2,775 (including HTML, PDF, and XML) Thereof 2,685 with geography defined and 90 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 06 May 2026
Download
Short summary
We present flexible tools to implement aerosol formation rate predictions in climate and chemical transport models. New-particle formation is a significant but uncertain factor affecting aerosol numbers and an active field within molecular modeling which provides data for assessing formation rates for different chemical species. We introduce tools to generate and interpolate formation rate lookup tables for user-defined data, thus enabling the easy inclusion and testing of formation schemes.
Read more
Share