Efficient and Robust Prediction at Ungauged Catchments

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Hydrological models are an integral part of virtually all environmental models formulated at the catchment scale. They are used in the planning, design and operation of water infrastructure. Despite the importance of these models limited rainfall and streamflow gauging forces these models to be routinely applied at ungauged locations where predictive power is poorly understood and almost always unsatisfactory. This project will directly benefit model users by providing (a) robust framework for quantifying uncertainty and (b) improved predictions at ungauged basins. This will provide more realistic guidance for design engineers and policy makers and be of significant benefit to a large range of Australian water users.