A statistical-dynamical downscaling procedure for global climate simul
ations is verified for the greater Alpine region. This procedure links
global and regional model simulations using frequencies of large-scal
e weather types in order to derive the regional climate corresponding
to a given global climate. The results from multi-year global simulati
ons or large-scale analyses are classified into a set of large-scale w
eather types. Regional model simulations are carried out once for each
class. The model output fields are weighted with the frequencies of t
he corresponding weather type to give the regional climate. As downsca
ling procedures transmit errors in the global climate simulation to th
e regional scale, the verification of the statistical-dynamical proced
ure is based on large-scale observational data, in our case a decade o
f daily ECMWF (European Centre for Medium Range Weather Forecasts) ana
lyses. The downscaled results are compared with local observations for
the same decade. The verification shows that the downscaling procedur
e is able to reproduce climatological features of the observed regiona
l distributions of wind and temperature. However, the downscaled regio
nal distribution of precipitation exhibits major deficiencies. Possibl
e reasons are discussed and further improvements of the statistical-dy
namical downscaling procedure are previewed.