A case study of Hurricane Erin of the 1995 storm season is presented u
sing the recently developed Florida State University (FSU) Nested Regi
onal Spectral Model. The nested regional spectral model uses a perturb
ation technique similar to that used in the National Centers for Envir
onmental Prediction and European Centre for Medium-Range Weather Forec
asts regional spectral models, but with a number of differences such a
s the use of a Mercator projection. The perturbations are deviations f
rom the FSU Global Spectral Model (FSUGSM) results and are spectrally
represented with pi-periodic trigonometric basis functions. The pertur
bations are relaxed at the boundary to approach the global model resul
ts. The perturbation time tendencies are solved using a semi implicit
time integration scheme similar to that used in the FSUGSM. The region
al model has the same sigma-coordinate vertical structure and physics
as the FSUGSM. Implicit horizontal diffusion and time filtering of the
perturbations is included. Erin made landfall on both the Atlantic co
ast and gulf coast of Florida, each time with hurricane strength. A 4-
day prediction is performed using a 0.5 degrees transform grid, which
yields an equivalent resolution to a T240 global model. T106 and T126
global models were used to provide base fields for the regional model
as well as control experiments. The intensity forecast of the regional
model was superior to that of the global model and reasonably close t
o the observed intensity. With physical initialization, the forecast t
rack of the storm is improved in both the global and regional models.
However, the regional model predicted the best track, showing both lan
dfalls within 100 km of the observed landfalls.