Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 18
Articles | Volume 15, issue 18
https://doi.org/10.5194/gmd-15-7139-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-7139-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 18
Model description paper
 | 
22 Sep 2022
Model description paper |  | 22 Sep 2022

MultilayerPy (v1.0): a Python-based framework for building, running and optimising kinetic multi-layer models of aerosols and films

Adam Milsom, Amy Lees, Adam M. Squires, and Christian Pfrang

Viewed

Total article views: 2,830 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,044 697 89 2,830 195 77 131
  • HTML: 2,044
  • PDF: 697
  • XML: 89
  • Total: 2,830
  • Supplement: 195
  • BibTeX: 77
  • EndNote: 131
Views and downloads (calculated since 02 May 2022)
Cumulative views and downloads (calculated since 02 May 2022)

Viewed (geographical distribution)

Total article views: 2,830 (including HTML, PDF, and XML) Thereof 2,700 with geography defined and 130 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Dec 2025
Download
Short summary
MultilayerPy is a Python-based framework facilitating the creation, running and optimisation of state-of-the-art kinetic multi-layer models of aerosol and film processes. Models can be fit to data with local and global optimisation algorithms along with a statistical sampling algorithm, which quantifies the uncertainty in optimised model parameters. This “modelling study in a box” enables more reproducible and reliable results, with model code and outputs produced in a human-readable way.
Read more
Share