- Abstract:
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In this study a novel framework for inverse modelling of cloud condensation nuclei (CCN) spectra is developed using Köhler theory. The framework is established by using model-generated synthetic measurements as calibration data for a parametric sensitivity analysis. Assessment of the relative importance of aerosol physicochemical parameters, while accounting for bulk–surface partitioning of surface-active organic species, is carried out over a range of atmospherically relevant supersaturation...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
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(pdf, 7.5mb)
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- Publisher copy:
- 10.5194/acp-16-10941-2016
-
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- Publisher:
- Copernicus Publications Publisher's website
- Journal:
- Atmospheric Chemistry and Physics Journal website
- Publication date:
- 2016-09-06
- Acceptance date:
- 2016-07-25
- DOI:
- EISSN:
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1680-7324
- ISSN:
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1680-7316
- Pubs id:
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pubs:641586
- URN:
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uri:cedb2f92-6b1e-4b94-b75a-e090d0084cfc
- UUID:
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uuid:cedb2f92-6b1e-4b94-b75a-e090d0084cfc
- Local pid:
- pubs:641586
- Copyright holder:
- Lowe et al.
- Copyright date:
- 2016
- Notes:
- © Author(s) 2016. Published by Copernicus Publications on behalf of the European Geosciences Union. This work is distributed under the Creative Commons Attribution 3.0 License.
Journal article
Inverse modelling of Köhler theory – Part 1: A response surface analysis of CCN spectra with respect to surface-active organic species
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