Observational and numerical studies have consistently shown the importance
of latent heat release associated with frontal precipitation in the develop
ment of a Mei-Yu front. However, a systematic evaluation of precipitation p
arameterization in the simulation of a Mei-Yu front has been rare in the li
terature. In order to enhance our understanding on precipitation parameteri
zation of Mei-Yu fronts, this study conducts numerical experiments to evalu
ate the performance of subgrid-scale cumulus schemes and resolvable-scale m
icrophysics schemes to simulate the Mei-Yu frontal system on 4-5 June 1998
at grid resolutions of 45 km and 15 km, using the Penn State/NCAR mesoscale
model MM5. Principal findings are summarized here.
The horizontal extent and intensity of precipitation, the partitioning of p
recipitation into grid-resolvable and subgrid-scale portions, the vertical
thermodynamic profile in the precipitation region and the embedded mesoscal
e structure are extremely sensitive to the choice of cumulus parameterizati
on schemes. This is true for both the 45- and 15-km grids.
The partitioning of precipitation into subgrid scale and resolvable scale i
s sensitive to the particular cumulus parameterization that is used in the
model, bat it is nearly the same on both the 45- and 15-km grids for a give
n cumulus parameterization.
The detailed ice-phase microphysical processes do not have a significant im
pact on the rainfall pattern on either the 45- and 15-km grids. However, th
e inclusion of cloud ice-snow-graupel microphysical processes increases the
total surface precipitation amount by 30% compared to the amount with. onl
y warm rain processes.
Variations in the subgrid-scale cumulus parameterization have a much larger
impact on the distribution and amount of Mei-Yu frontal precipitation than
do variations in the resolvable-scale microphysics parameterization at mes
oscale grid resolutions of 10-50 km.