Quantification of parameter and calibration uncertainty in morphological modelling
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Abstract
There are different sources of uncertainty in morphological modeling on time scales of years. The standard deterministic modelling approach does not provide any information on the amount of uncertainty contained in a forecast. This lack of information could provide a false sense of accuracy and skill. Quantitative insight in these prediction uncertainties is therefore of crucial importance for decision making in coastal engineering and management.