The ADCIRC model is used to produce an ensemble of storm surge simulations. The ensemble is generated in an idealized context where the model is driven by best track data and perturbations from the best track (e.g. storm track, maximum wind, storm speed). Inundation metrics are computed for both storm-following inundation and location-based inundation to better understand the predictive nature. While the magnitude of maximum inundation at a point is often emphasized in storm surge prediction studies, this study focuses on integrated metrics such as inundation volume and spatial extent of inundation along the coast and inland. Given the asymmetric nature of hurricane-related storm surge, multiple length scales are computed to define the spatial extents. Results will be presented from simulations of Hurricane Ike to demonstrate the sensitivity of inundation to a certain storm of certain strength as the track varies. Application to, and impact on, additional hurricanes in the Gulf of Mexico as well as perturbations of other storm parameters will also be discussed. In addition to providing a better understanding of storm surge predictability, results from this study will also be connected to an agent-based model of human response to an impending storm threat as part of a larger project focusing on understanding and improving communication of hurricane risks.