Difficulties in defining truly mechanistic model structures and diffic
ulties of model calibration and validation suggest that the applicatio
n of distributed hydrological models is more an exercise in prophecy t
han prediction. One response to these problems is outlined in terms of
a realistic assessment of uncertainty in hydrological prophecy, toget
her with a framework (GLUE) within which such ideas can be implemented
. It is suggested that a post-modernistic hydrology will recognise the
uncertainties inherent in hydrological modelling and will focus atten
tion on the value of data in conditioning hydrological prophecies.