Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2363-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-2363-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2021
Research article |
| 18 Feb 2021
| 18 Feb 2021
Impacts of cloud microphysics parameterizations on simulated aerosol–cloud interactions for deep convective clouds over Houston
Yuwei Zhang
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD, USA
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
Zhanqing Li
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD, USA
Daniel Rosenfeld
Institute of Earth Sciences, The Hebrew University of Jerusalem,
Jerusalem, Israel
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17 citations as recorded by crossref.
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- Aerosol–precipitation elevation dependence over the central Himalayas using cloud-resolving WRF-Chem numerical modeling P. Adhikari & J. Mejia 10.5194/acp-23-1019-2023
- Assessment of future solar energy potential changes under the shared socio-economic pathways scenario 2–4.5 with WRF-chem: The roles of meteorology and emission Y. Zhang et al. 10.1016/j.atmosenv.2023.120232
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- Modeling impacts of ice-nucleating particles from marine aerosols on mixed-phase orographic clouds during 2015 ACAPEX field campaign Y. Lin et al. 10.5194/acp-22-6749-2022
- Using Polarimetric Radar Observations to Characterize First Echoes of Thunderstorms and Nonthunderstorms: A Comparative Study C. Zhao et al. 10.1029/2022JD036671
- Quantification of aerosol and cloud effects on solar energy over China using WRF-Chem Y. Zhang et al. 10.1016/j.atmosres.2022.106245
- Observation on the Droplet Ranging from 2 to 16 μm in Cloud Droplet Size Distribution Based on Digital Holography P. Gao et al. 10.3390/rs14102414
2 citations as recorded by crossref.
Latest update: 24 Apr 2024
Short summary
Impacts of anthropogenic aerosols on deep convective clouds (DCCs) and precipitation are examined using both the Morrison bulk and spectral bin microphysics (SBM) schemes. With the SBM scheme, anthropogenic aerosols notably invigorate convective intensity and precipitation, causing better agreement between the simulated DCCs and observations; this effect is absent with the Morrison scheme, mainly due to limitations of the saturation adjustment approach for droplet condensation and evaporation.
Impacts of anthropogenic aerosols on deep convective clouds (DCCs) and precipitation are...
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