The use of simplification as a route to scientific insight is reviewed
with examples from hydrology and analogies from other sciences. The d
iscussion covers a number of types of simplification: (a) simplificati
on of the governing equations; (b) reduction of the state space, i.e.
the number of dependent variables; (c) reduction of the solution space
, i.e. the number of independent variables; (d) reduction of the param
eter space, e.g. by freezing a slowly varying parameter; (e) simplific
ation of the driving function e.g. Fourier analysis. The importance of
scale is stressed and the possibility of apparent paradoxes between d
iffering scales is noted. The complementary nature of deterministic an
d stochastic approaches is also discussed.