To better understand the microphysical and dynamical effects of melting in convective storms, a bin microphysics scheme was implemented in the Weather Research and Forecasting (WRF) model for two idealized cases: a supercell storm and a squall line. Ice was partitioned between pristine ice, snow, and a hybrid graupel/hail category, where a melt fraction parameter was added to prognose the amount of melting that occurs in each frozen hydrometeor bin below the freezing level; sensitivity simulations were run for each case to mimic melting in traditional bulk microphysics schemes. The results suggest that by modifying only the melt fraction, the amount and phase of precipitation that reaches the surface can vary greatly. Moreover, the cold pool characteristics also vary, which is likely tied to the differences in the size and number of shed drops in the different melting schemes, which ultimately affects evaporation rates. Perhaps most interesting, by modifying only the melt fraction parameter (i.e., continuous melting versus instantaneous melting), there appears to be a strong influence on the dynamical evolution of the storms. For example, a multi-cellular storm results at the end of the supercell simulation for the instantaneous melting case, while a supercellular storm develops for the opposite extreme, the continuous melting case.
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