Regional climate prediction is not an insoluble problem, but it is a proble
m characterized by inherent uncertainty. There are two sources of this unce
rtainty: the unpredictability of the climatic and global systems. The clima
te system is rendered unpredictable by deterministic chaos; the global syst
em renders climate prediction uncertain through the unpredictability of the
external forcings imposed on the climate system. It is commonly inferred f
rom the differences between climate models on regional scales that the mode
ls are deficient, but climate system unpredictability is such that this inf
erence is premature; the differences are due to an unresolved combination o
f climate system unpredictability and model deficiencies. Since model defic
iencies are discussed frequently and the two sources of inherent uncertaint
y are discussed only rarely, this review considers the implications of clim
atic and global system unpredictability for regional climate prediction. Co
nsequently we regard regional climate prediction as a cascade of uncertaint
y, rather than as a single result process sullied by model deficiencies. We
suggest three complementary methodological approaches: (1) the use of mult
iple forcing scenarios to cope with global system unpredictability; (2) the
use of ensembles to cope with climate system unpredictability; and (3) the
consideration of the entire response of the climate system to cope with th
e nature of climate change. We understand regional climate change in terms
of changes in the general circulations of the atmosphere and oceans; so we
illustrate the role of uncertainty in the task of regional climate predicti
on with the behaviour of the North Atlantic thermohaline circulation. In co
nclusion we discuss the implications of the uncertainties in regional clima
te prediction for research into the impacts of climate change, and we recog
nize the role of feedbacks in complicating the relatively simple cascade of
uncertainties presented here.