Articles | Volume 16, issue 17
https://doi.org/10.5194/acp-16-10941-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-10941-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Sep 2016
Research article |
| 06 Sep 2016
Inverse modelling of Köhler theory – Part 1: A response surface analysis of CCN spectra with respect to surface-active organic species
Samuel Lowe
Department of Environmental Science and Analytical Chemistry, Stockholm University, Stockholm, Sweden
Bert Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Daniel G. Partridge
CORRESPONDING AUTHOR
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Department of Environmental Science and Analytical Chemistry, Stockholm University, Stockholm, Sweden
Bert Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
David Topping
School of Earth Atmospheric and Environmental Science, University of Manchester, Manchester, UK
National Centre for Atmospheric Science (NCAS), University of Manchester, Manchester, UK
Philip Stier
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
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Cited
12 citations as recorded by crossref.
- Hygroscopicity and CCN Activity of Water‐Soluble Extracts From the Arctic Aerosols in Winter to Early Summer K. Kawana et al. 10.1029/2021JD035979
- Cloud condensation nuclei activity of six pollenkitts and the influence of their surface activity N. Prisle et al. 10.5194/acp-19-4741-2019
- Why would apparent κ linearly change with O/C? Assessing the role of volatility, solubility, and surface activity of organic aerosols S. Nakao 10.1080/02786826.2017.1352082
- Perspective: Aerosol microphysics: From molecules to the chemical physics of aerosols B. Bzdek & J. Reid 10.1063/1.5002641
- Numerical investigation of PM2.5 size enlargement by heterogeneous condensation for particulate abatement F. Fan et al. 10.1016/j.psep.2019.03.018
- Technical note: Monte Carlo genetic algorithm (MCGA) for model analysis of multiphase chemical kinetics to determine transport and reaction rate coefficients using multiple experimental data sets T. Berkemeier et al. 10.5194/acp-17-8021-2017
- Impact of fatty acid coating on the CCN activity of sea salt particles Q. Nguyen et al. 10.1080/16000889.2017.1304064
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
- Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data O. Tikkanen et al. 10.5194/acp-19-9333-2019
- Key drivers of cloud response to surface-active organics S. Lowe et al. 10.1038/s41467-019-12982-0
- Ozonolysis of Oleic Acid Aerosol Revisited: Multiphase Chemical Kinetics and Reaction Mechanisms T. Berkemeier et al. 10.1021/acsearthspacechem.1c00232
- Molecular Structure Inhibiting Synergism in Charged Surfactant Mixtures: An Atomistic Molecular Dynamics Simulation Study G. Ergin et al. 10.1021/acs.langmuir.7b03346
11 citations as recorded by crossref.
- Hygroscopicity and CCN Activity of Water‐Soluble Extracts From the Arctic Aerosols in Winter to Early Summer K. Kawana et al. 10.1029/2021JD035979
- Cloud condensation nuclei activity of six pollenkitts and the influence of their surface activity N. Prisle et al. 10.5194/acp-19-4741-2019
- Why would apparent κ linearly change with O/C? Assessing the role of volatility, solubility, and surface activity of organic aerosols S. Nakao 10.1080/02786826.2017.1352082
- Perspective: Aerosol microphysics: From molecules to the chemical physics of aerosols B. Bzdek & J. Reid 10.1063/1.5002641
- Numerical investigation of PM2.5 size enlargement by heterogeneous condensation for particulate abatement F. Fan et al. 10.1016/j.psep.2019.03.018
- Technical note: Monte Carlo genetic algorithm (MCGA) for model analysis of multiphase chemical kinetics to determine transport and reaction rate coefficients using multiple experimental data sets T. Berkemeier et al. 10.5194/acp-17-8021-2017
- Impact of fatty acid coating on the CCN activity of sea salt particles Q. Nguyen et al. 10.1080/16000889.2017.1304064
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
- Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data O. Tikkanen et al. 10.5194/acp-19-9333-2019
- Key drivers of cloud response to surface-active organics S. Lowe et al. 10.1038/s41467-019-12982-0
- Ozonolysis of Oleic Acid Aerosol Revisited: Multiphase Chemical Kinetics and Reaction Mechanisms T. Berkemeier et al. 10.1021/acsearthspacechem.1c00232
Saved (preprint)
Latest update: 10 Dec 2024
Short summary
A novel inverse modelling framework is developed for analysing the sensitivity of cloud condensation nuclei (CCN) concentrations to simultaneous perturbations in multiple model parameters at atmospherically relevant humidities. Many parameter interactions are identified and CCN concentrations are found to be relatively insensitive to bulk–surface partitioning, while aerosol concentration, surface tension, composition and solution ideality exhibit a higher degree of sensitivity.
A novel inverse modelling framework is developed for analysing the sensitivity of cloud...
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