Catchment scale hydrological modelling: A review of model types, calibration approaches and uncertainty analysis methods in the context of recent developments in technology and applications

In catchment hydrology, it is in practice impossible to measure everything we would like to know
about the hydrological system, mainly due to high catchment heterogeneity and the limitations of
measurement techniques. These limitations and the need to extrapolate information from the
available measurements in both space and time initiated the application of hydrological models.
However, hydrological models suffer from uncertainty in their predictions, which reduces applicability
of and confidence in such models. In this review, we summarise the different classifications of
hydrological model types, and discuss relative advantages and disadvantages of each type of
model. In addition, we summarise established model calibration processes and discuss the sources
of uncertainty that affect model predictions. We summarise different methods to quantify uncertainty
in the model predictions that could sit well within a model evaluation framework. And, finally, some
recent developments in hydrological modelling are reviewed.
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