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Uncertainty is an inherent, unavoidable feature in the modeling of natural processes. This is particularly a sensitive issue when dealing with forecasting, especially in the context of climate change impacts. Apart from the uncertainty introduced by different climate projections, additional sources of uncertainty have been acknowledged in the literature: driving models, input information, regionalization,...
Catchment-scale runoff generation involves a complex interaction of physical and chemical processes operating over a wide distribution of spatial and temporal scales. Understanding runoff generation is challenged by this inherent complexity – the more uncertain step of predicting the hydrologic response of catchments is that much more challenging. Many different hypotheses have been implemented in...
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