Resource planners and managers interested in utilizing climate model o
utput as part of their operational activities immediately confront the
dilemma of scale discordance. Their functional responsibilities cover
relatively small geographical areas and necessarily require data of r
elatively high spatial resolution. Climate models cover a large geogra
phical, i.e. global, domain and produce data at comparatively low spat
ial resolution. Although the scale differences between model output an
d planning input are large, several techniques have been developed for
disaggregating climate model output to a scale appropriate for use in
water resource planning and management applications, With techniques
in hand to reduce the limitations imposed by scale discordance, water
resource professionals must now confront a more fundamental constraint
on the use of climate models-the inability to produce accurate repres
entations and forecasts of regional climate. Given the current capabil
ities of climate models, and the likelihood that the uncertainty assoc
iated with long-term climate model forecasts will remain high for some
years to come, the water resources planning community may find it imp
ractical to utilize such forecasts operationally.