Abstract: Water resources decision-making processes involving impacts of climate change require coherent climate datasets, which may exhibit high spatial and temporal variability. These datasets are used in models with forcing data ...

Abstract: To construct a valid model, hydrologists face challenges in determining sensitivity to the forcing data and uncertainty in model parameters. These require basin data and forcing data from different sources, which may be ...

Abstract: Multiobjective water resources systems require long-term operational plans that consider vulnerability to failure under nonstationary conditions due to climate change. The paper presents a probabilistic decision-making ...

Abstract: Two of the most challenging issues in building robust hydrological models are determining model parameter uncertainty and examining parameter sensitivity to the system forcing data. These are especially important in dry ...