Abstract
No matter how sophisticated and accurate hydrologic models may be, prediction uncertainty is unavoidable problem in rainfall-runoff modeling and it stems from various components. Therefore, it is essential to identify and reduce sources of uncertainty for more precise agreement between model prediction and observations in the real system. In the context of uncertainty issues, the problem of model structural uncertainty or stability is an issue of increasing interest in recent research. This paper examines a nature of model structural inadequacy using a single-objective global optimization method in hydrological modeling and proposes a framework to assess model structural stability through a comparison of two hydrologic models.
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