Inverse modelling of Köhler theory – Part 1: A response surface analysis of CCN spectra with respect to surface-active organic species

Lowe, Samuel; Partridge, Daniel G.; Topping, David; Stier, Philip

doi:https://doi.org/10.5194/acp-16-10941-2016

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.

https://doi.org/10.5194/acp-16-10941-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 17

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, Daniel G. Partridge, David Topping, and Philip Stier

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Final revised paper (published on 06 Sep 2016)
Supplement to the final revised paper
Preprint (discussion started on 23 Feb 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Anonymous Referee #1, 11 Mar 2016
- AC1: 'Response to anonymous referee #1', Daniel Partridge, 12 Jul 2016
RC2: 'Interactive comment on “Inverse modelling of Köhler theory – Part 1: A response surface analysis of CCN spectra with respect to surface-active organic species” by S. Lowe et al.', Anonymous Referee #2, 22 Mar 2016
- AC2: 'Response to anonymous referee #2', Daniel Partridge, 12 Jul 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Daniel Partridge on behalf of the Authors (14 Jul 2016) Author's response Manuscript

ED: Referee Nomination & Report Request started (15 Jul 2016) by Veli-Matti Kerminen

RR by Anonymous Referee #1 (23 Jul 2016)

ED: Publish as is (25 Jul 2016) by Veli-Matti Kerminen

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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.