A method of semi-automated classification of windstorms over France is
proposed, in order to provide insurance companies with meteorological
statistical values, that could lead to an evaluation of storm risks.
Because not all storm events have the same origins or the same feature
s, and do not always hit the same regions, a classification is necessa
ry in order to assemble storm events with meteorological and geographi
cal similarities. The classification is based on the expert knowledge
of a weather forecaster, who first analyses 44 storm events and draws
out the meteorological features of different types of storm. Afterward
s, the results of the human typology are automated by determining deci
sive rules with criteria, which are calculated with only observed mete
orological surface data over France. The automation of the human typol
ogy is obtained by taking into account the main results of statistical
methods such as objective classification or discrimination and by val
idating them with physical considerations. We thus succeed in formulat
ing the reasoning of the expert. The classification is then applied to
the Meteo-France records since 1962. We succeed in selecting 524 stor
m events and in classing them into seven main types, with enough event
s in each class to calculate statistical values. (C) 1998 Royal Meteor
ological Society.