Articles | Volume 16, issue 13
https://doi.org/10.5194/acp-16-8353-2016
https://doi.org/10.5194/acp-16-8353-2016
Research article
 | 
12 Jul 2016
Research article |  | 12 Jul 2016

Implementation of warm-cloud processes in a source-oriented WRF/Chem model to study the effect of aerosol mixing state on fog formation in the Central Valley of California

Hsiang-He Lee, Shu-Hua Chen, Michael J. Kleeman, Hongliang Zhang, Steven P. DeNero, and David K. Joe

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 Shuhua Chen on behalf of the Authors (25 Feb 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Feb 2016) by Jianzhong Ma
RR by Anonymous Referee #2 (14 Mar 2016)
RR by Anonymous Referee #3 (19 Apr 2016)
ED: Reconsider after major revisions (19 Apr 2016) by Jianzhong Ma
AR by Shuhua Chen on behalf of the Authors (31 May 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (31 May 2016) by Jianzhong Ma
ED: Publish subject to technical corrections (20 Jun 2016) by Jianzhong Ma
Download
Short summary
A source-oriented CCN module was implemented in a source-oriented chemistry model to study the effect of aerosol mixing state on fog formation. The fraction of aerosols activating into CCN at a supersaturation of 0.5 % in the Central Valley decreased from 94 % in the internal mixture model to 80 % in the source-oriented model. The internal mixture model predicted greater CCN activation than the source-oriented model due to artificial coating of hydrophobic particles with hygroscopic components.
Altmetrics
Final-revised paper
Preprint