Articles | Volume 14, issue 14
https://doi.org/10.5194/acp-14-7485-2014
© Author(s) 2014. 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-14-7485-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Jul 2014
Research article |
| 24 Jul 2014
Incorporation of advanced aerosol activation treatments into CESM/CAM5: model evaluation and impacts on aerosol indirect effects
B. Gantt
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA
now at the Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA
X. Zhang
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA
Y. Zhang
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
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- Long- and short-term temporal variability in cloud condensation nuclei spectra over a wide supersaturation range in the Southern Great Plains site R. Perkins et al. https://doi.org/10.5194/acp-22-6197-2022
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- The Weather Research and Forecasting Model with Aerosol–Cloud Interactions (WRF-ACI): Development, Evaluation, and Initial Application T. Glotfelty et al. https://doi.org/10.1175/MWR-D-18-0267.1
- Multiscale Applications of Two Online-Coupled Meteorology-Chemistry Models during Recent Field Campaigns in Australia, Part I: Model Description and WRF/Chem-ROMS Evaluation Using Surface and Satellite Data and Sensitivity to Spatial Grid Resolutions Y. Zhang et al. https://doi.org/10.3390/atmos10040189
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