Model calibration is a critical phase in the modelling process, and th
e need for a well-established calibration strategy is obvious. Therefo
re a systematic approach for model calibration is proposed which is gu
ided by the intended model use, and which is supported by adequate tec
hniques, prior knowledge and expert judgement. The success of calibrat
ion will be primarily limited by the nature, amount and quality of the
available data, in relation to the complexity of the model; additiona
l limitations are the effectiveness of the applied techniques and the
availability of time, man- and computer power, adequate expertise and
financial resources. These limitations will often preclude a unique ca
librated model. As a consequence, calibration studies should provide i
nformation on the non-uniqueness and/or uncertainty which will be left
in the model (parameters) after calibration, and this uncertainty sho
uld be adequately accounted for in subsequent model applications.