Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2363-2021
https://doi.org/10.5194/acp-21-2363-2021
Research article
 | 
18 Feb 2021
Research article |  | 18 Feb 2021

Impacts of cloud microphysics parameterizations on simulated aerosol–cloud interactions for deep convective clouds over Houston

Yuwei Zhang, Jiwen Fan, Zhanqing Li, and Daniel Rosenfeld

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Cited articles

Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation – 3. Sectional representation, J. Geophys. Res.-Atmos., 107, 4026, https://doi.org/10.1029/2001jd000483, 2002. 
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Arakawa, A.: The cumulus parameterization problem: Past, present, and future, J. Climate, 17, 2493–2525, https://doi.org/10.1175/1520-0442(2004)017<2493:Ratcpp>2.0.Co;2, 2004. 
Chen, F. and Dudhia, J.: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, https://doi.org/10.1175/1520-0493(2001)129<0569:Caalsh>2.0.Co;2, 2001. 
Chen, Q., Fan, J., Yin, Y., and Han, B.: Aerosol impacts on mesoscale convective systems forming under different vertical wind shear conditions, J. Geophys. Res.-Atmos., 125, e2018JD030027, https://doi.org/10.1029/2018JD030027, 2020. 
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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.
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