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

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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.
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