Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-675-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-14-675-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Model description paper
 | 
02 Feb 2021
Model description paper |  | 02 Feb 2021

PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers

Simon Patrick O'Meara, Shuxuan Xu, David Topping, M. Rami Alfarra, Gerard Capes, Douglas Lowe, Yunqi Shao, and Gordon McFiggans

Viewed

Total article views: 4,889 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,318 1,494 77 4,889 99 139
  • HTML: 3,318
  • PDF: 1,494
  • XML: 77
  • Total: 4,889
  • BibTeX: 99
  • EndNote: 139
Views and downloads (calculated since 20 Aug 2020)
Cumulative views and downloads (calculated since 20 Aug 2020)

Viewed (geographical distribution)

Total article views: 4,889 (including HTML, PDF, and XML) Thereof 4,414 with geography defined and 475 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Nov 2025
Download
Short summary
User-friendly and open-source software for simulating aerosol chambers is a valuable tool for research scientists in designing and analysing their experiments. This paper describes a new version of such software and will therefore provide a useful reference for those applying it. Central to the paper is an assessment of the software's accuracy through comparison against previously published simulations.
Read more
Share
Special issue
Simulation chambers as tools in atmospheric research (AMT/ACP/GMD...