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ABSTRACT: As all hydrological models are intrinsically limited hypotheses on the behaviour of catchments, models which attempt to represent real-world behaviour will always remain imperfect. To make progress on the long road towards improved models, we need demanding tests, i.e. true crash tests. Efficient testing requires large and varied data sets to develop and assess hydrological models, to ensure their generality, to diagnose their failures, and ultimately, help improving them.
