Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 16, issue 13
Articles | Volume 16, issue 13
https://doi.org/10.5194/acp-16-8353-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-8353-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 16, issue 13
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

Viewed

Total article views: 3,415 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,927 1,367 121 3,415 434 100 140
  • HTML: 1,927
  • PDF: 1,367
  • XML: 121
  • Total: 3,415
  • Supplement: 434
  • BibTeX: 100
  • EndNote: 140
Views and downloads (calculated since 17 Nov 2015)
Cumulative views and downloads (calculated since 17 Nov 2015)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 22 Aug 2025
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint