Articles | Volume 16, issue 17
Atmos. Chem. Phys., 16, 10941–10963, 2016
https://doi.org/10.5194/acp-16-10941-2016
Atmos. Chem. Phys., 16, 10941–10963, 2016
https://doi.org/10.5194/acp-16-10941-2016

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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Download
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.
Altmetrics
Final-revised paper
Preprint