On 7 May 1985 a mesoscale convective system (MCS) developed within a m
oderately forced large-scale environment for upward motion and moved i
nto the observing network of the Oklahoma-Kansas Preliminary Regional
Experiment for STORM (PRE-STORM). The initial region of convective dev
elopment occurred outside the PRE-STORM network in a data-sparse area.
Simulations using The Pennsylvania State University National Center f
or Atmospheric Research(PSU-NCAR) Mesoscale Model are produced using i
nitial conditions from two different initialization techniques, static
initialization and improved dynamic initialization, to evaluate the a
bility of the mesoscale model to reproduce the complex evolution and s
tructure of this MCS. The results indicate that, even when including t
he special PRE-STORM data in the model initialization process, the num
erical simulation that uses the initial condition from the static init
ialization fails to simulate the observed evolution of the 7 May 1985
MCS. This is attributed to both the relatively weak large-scale forcin
g for upward motion and the lack of adequate mesoscale observations of
the low-level moisture distribution and wind field in the Texas panha
ndle and western Oklahoma. In contrast, the initial condition from the
dynamic initialization approach that uses the results of a continuous
four-dimensional data-assimilation technique (nudging) as a first gue
ss for a static initialization (both of which include the special PRE-
STORM data) produces a successful simulation of the MCS. This simulati
on captures remarkably well many of the observed and analyzed mesoscal
e features determined from the high-resolution PRE-STORM observing net
work data. Threat scores for precipitation amounts and root-mean-squar
e errors of sea level pressure are calculated to provide an objective
measure of the quality of the simulations.