In regions affected by tropical storms the damage caused by hurricane winds
can be catastrophic. Consequently, accurate estimates of hurricane activit
y in such regions are vital. Unfortunately, the severity of events means th
at wind speed data are scarce and unreliable, even by standards which are u
sual for extreme value analysis. In contrast, records of atmospheric pressu
res are more complete. This suggests a two-stage approach: the development
of a model describing spatiotemporal patterns of wind field behaviour for h
urricane events; then the simulation of such events, using meteorological c
limate models, to obtain a realization of associated wind speeds whose extr
emal characteristics are summarized. This is not a new idea, but we apply c
areful statistical modelling for each aspect of the model development and s
imulation, taking the Gulf and Atlantic coastlines of the USA as our study
area. Moreover, we address for the first time the issue of spatial dependen
ce in extremes of hurricane events, which we find to have substantial impli
cations for regional risk assessments.