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David Ahijevych, Eric Gilleland, Barbara G. Brown, and Elizabeth E. Ebert

in performance over coarse-grid models. Small errors in the position or timing of small convective features result in false alarms and missed events that dominate traditional categorical verification scores ( Wilks 2006 ). This problem is exacerbated by smaller grid spacing. Several traditional scores such as critical success index (CSI; or threat score) and Gilbert skill score (GSS; or equitable threat score) have been used for decades to track model performance, but their utility is limited

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Elizabeth E. Ebert

1. Introduction High space and time resolution quantitative precipitation forecasts (QPFs) are becoming increasingly available for use in such weather-related applications as heavy rain, flooding, landslides, and other high-impact weather prediction and hydrological applications such as streamflow prediction and water management. High-resolution modeling allows for more realistic structure and variability in the rainfall patterns, including better representation of topographically influenced

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