Articles | Volume 20, issue 17
Atmos. Chem. Phys., 20, 10441–10458, 2020
https://doi.org/10.5194/acp-20-10441-2020
Atmos. Chem. Phys., 20, 10441–10458, 2020
https://doi.org/10.5194/acp-20-10441-2020

Research article 08 Sep 2020

Research article | 08 Sep 2020

Comparing secondary organic aerosol (SOA) volatility distributions derived from isothermal SOA particle evaporation data and FIGAERO–CIMS measurements

Olli-Pekka Tikkanen et al.

Model code and software

Monte Carlo Genetic Algorithm Olli-Pekka Tikkanen https://doi.org/10.5281/zenodo.3759732

Download
Short summary
We compared the volatility distributions of secondary organic aerosol (SOA) constituents estimated from isothermal evaporation experiments from either particle size change data, by process modelling and global optimization, or from mass spectrometer data with positive matrix factorization analysis. Our results show that, despite the two very different estimation methods, the volatility distributions are comparable if uncertainties are taken into account.
Altmetrics
Final-revised paper
Preprint