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.
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.
the Creative Commons Attribution 3.0 License.
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
Department of Land, Air, and Water Resources, University of
California, Davis, CA, USA
now at: Singapore-MIT Alliance for Research and Technology (SMART), Centre
for Environmental Sensing and Modeling (CENSAM), Singapore
Shu-Hua Chen
CORRESPONDING AUTHOR
Department of Land, Air, and Water Resources, University of
California, Davis, CA, USA
Michael J. Kleeman
Department of Civil & Environmental Engineering, University of
California, Davis, CA, USA
Hongliang Zhang
Department of Civil & Environmental Engineering, University of
California, Davis, CA, USA
Steven P. DeNero
Department of Civil & Environmental Engineering, University of
California, Davis, CA, USA
David K. Joe
Department of Civil & Environmental Engineering, University of
California, Davis, CA, USA
Viewed
Total article views: 3,881 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Nov 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,189 | 1,543 | 149 | 3,881 | 540 | 141 | 213 |
- HTML: 2,189
- PDF: 1,543
- XML: 149
- Total: 3,881
- Supplement: 540
- BibTeX: 141
- EndNote: 213
Total article views: 3,248 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jul 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,899 | 1,226 | 123 | 3,248 | 309 | 125 | 192 |
- HTML: 1,899
- PDF: 1,226
- XML: 123
- Total: 3,248
- Supplement: 309
- BibTeX: 125
- EndNote: 192
Total article views: 633 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Nov 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 290 | 317 | 26 | 633 | 231 | 16 | 21 |
- HTML: 290
- PDF: 317
- XML: 26
- Total: 633
- Supplement: 231
- BibTeX: 16
- EndNote: 21
Cited
10 citations as recorded by crossref.
- Effects of Low‐Carbon Energy Adoption on Airborne Particulate Matter Concentrations With Feedbacks to Future Climate Over California A. Kumar et al. https://doi.org/10.1029/2020JD032636
- Impact of biomass burning aerosols on radiation, clouds, and precipitation over the Amazon: relative importance of aerosol–cloud and aerosol–radiation interactions L. Liu et al. https://doi.org/10.5194/acp-20-13283-2020
- Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study N. Shao et al. https://doi.org/10.5194/acp-23-9873-2023
- Enhanced PM2.5 pollution in China due to aerosol-cloud interactions B. Zhao et al. https://doi.org/10.1038/s41598-017-04096-8
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
- Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0) J. Curtis et al. https://doi.org/10.5194/gmd-17-8399-2024
- Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. https://doi.org/10.1016/j.earscirev.2021.103562
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
- Impacts of urban expansion on fog types in Shanghai, China: Numerical experiments by WRF model Y. Gu et al. https://doi.org/10.1016/j.atmosres.2018.12.026
- Improvement of aerosol activation/ice nucleation in a source-oriented WRF-Chem model to study a winter Storm in California H. Lee et al. https://doi.org/10.1016/j.atmosres.2019.104790
10 citations as recorded by crossref.
- Effects of Low‐Carbon Energy Adoption on Airborne Particulate Matter Concentrations With Feedbacks to Future Climate Over California A. Kumar et al. https://doi.org/10.1029/2020JD032636
- Impact of biomass burning aerosols on radiation, clouds, and precipitation over the Amazon: relative importance of aerosol–cloud and aerosol–radiation interactions L. Liu et al. https://doi.org/10.5194/acp-20-13283-2020
- Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study N. Shao et al. https://doi.org/10.5194/acp-23-9873-2023
- Enhanced PM2.5 pollution in China due to aerosol-cloud interactions B. Zhao et al. https://doi.org/10.1038/s41598-017-04096-8
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
- Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0) J. Curtis et al. https://doi.org/10.5194/gmd-17-8399-2024
- Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. https://doi.org/10.1016/j.earscirev.2021.103562
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
- Impacts of urban expansion on fog types in Shanghai, China: Numerical experiments by WRF model Y. Gu et al. https://doi.org/10.1016/j.atmosres.2018.12.026
- Improvement of aerosol activation/ice nucleation in a source-oriented WRF-Chem model to study a winter Storm in California H. Lee et al. https://doi.org/10.1016/j.atmosres.2019.104790
Saved (final revised paper)
Latest update: 18 Jun 2026
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.
A source-oriented CCN module was implemented in a source-oriented chemistry model to study the...
Altmetrics
Final-revised paper
Preprint