720 Advances in Computational Methods for Coastal Flooding

Kyle Mandli, Columbia University
Coastal flooding is one of the most frequent and ubiquitous of natural hazards throughout the world. Events such as Hurricane Sandy and the Tōhoku tsunami have demonstrated the potential for destruction with an ability to overcome substantial efforts at mitigating these types of threats. With the addition of sea-level rise the ability to predict these events quickly and accurately is critical to the sustainability of our life along the coasts of the world. Computational predictive capabilities are critical to addressing this threat but require the ability to handle multiple, disparate scales, handle the physics relevant at each of these scales, and remain tractable under the necessity of large ensembles to handle uncertainty in the input.

This minisymposium will highlight work being done a wide-variety of problems related to coastal inundation. This includes work on representation of coastal infrastructure, computational scalability, uncertainty quantification, and modeling.