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This paper investigates model validation under a variety of different data scenarios and clarifies how different validation metrics may be appropriate for different scenarios. In the presence of multiple uncertainty sources, model validation metrics that compare the distributions of model prediction and observation are considered. Both ensemble validation and point-by-point approaches are discussed,...
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