The study examines the impacts of the prognostic liquid fraction and the use of multiple ice categories on the simulation of hail in the context of near convection-resolving (250-m grid spacing) quasi-idealized simulations of two hail-producing supercell storms in different environments. All simulations use the triple-moment-ice configuration but varying the prognostic liquid fraction (on or off) and the number of ice categories (from 1 to 4). The sensitivity to the conditions for initiation of new ice into specific categories and to merge categories with similar physical properties is also examined. The inclusion of prognostic liquid fraction significantly modifies the rates of melting and shedding of hail and ultimately reduces the amount of ice reaching the surface. This has important implications for assumptions commonly made in conventional 2-moment schemes. The increasing number of ice categories reduces the amount of “property dilution”, which occurs when two or more populations of particles with different properties are represented by a single category (and thus a single size distribution and set of properties). This impacts the amount of ice reaching the surface and the maximum hail size.

