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

Abstract. Aerosol–cloud interactions remain largely uncertain with respect to predicting their impacts on weather and climate. Cloud microphysics parameterization is one of the factors leading large uncertainty. Here, we investigate anthropogenic aerosols convective intensity precipitation a thunderstorm occurring 19 June 2013 over Houston Chemistry version Weather Research Forecast model (WRF-Chem) using Morrison two-moment bulk scheme spectral bin (SBM) scheme. We find that SBM predicts deep cloud shows better agreement observations in terms reflectivity compared has been used many climate models. With scheme, see significant invigoration effect by aerosols, mainly through enhanced condensation latent heating. Such an absent microphysics, because saturation adjustment approach for droplet evaporation calculation limits enhancement (1) heat removing dependence droplets (2) ice-related processes leads stronger warm rain weaker ice than explicit supersaturation approach.