Droughts are major natural disasters for many parts of the world. Dry
areas, where the precipitation pattern is markedly seasonal, or is oth
erwise highly variable, are the most susceptible. The Canadian Prairie
s, together with the U.S. Great Plains, are one such area. While immed
iate loss of life is seldom a feature of most droughts, malnutrition a
nd even starvation do follow severe droughts in some parts of the worl
d. In Canada, economic losses, particularly in the agricultural sector
, may reach several hundred millions of dollars in a drought year, wit
h major socio-economic repercussions affecting the entire region. Envi
ronmental damages include soil degradation and erosion, vegetation dam
age, slough and lake deterioration and wildlife loss. Unlike most othe
r natural disasters, drought onset is difficult to identify. Droughts
develop slowly, and until human activity begins to be affected by an o
n-going reduction of precipitation, their existence is unrecognized. D
evelopment and application of specific soil moisture and drought indic
es based on cumulative precipitation deficits have enhanced drought mo
nitoring programs. These in turn provide guidance on the need for miti
gative measures that can be initiated early in the course of a drought
. Any improvement in the timely application of these measures is, howe
ver, strongly dependent on being able to determine the drought's cours
e, extent and likely severity at the earliest stage possible. The iden
tification of precursor conditions for past drought has raised the pos
sibility that the likelihood of a drought occurring in a particular ye
ar or growing season might be predictable. Teleconnections between Nor
th American precipitation patterns and ENSO events and other surface b
oundary conditions in the North Pacific have been detected. Forecastin
g seasonal temperature and perhaps precipitation anomalies appears to
be potentially feasible using a suitable merging of precursor paramete
rs and modelling methodologies. Clearly, future research must focus bo
th on those precursors that have been identified and on a search for p
ossible new ones. Development of better forecasting methodology is als
o essential. Research activity to identify and evaluate new mitigative
measures should also be increased to keep pace with the prospects of
drought predictability.