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North Carolina State University

Project Name:

Improving the Efficiency of Flooding Predictions via Adaptive Mesh Resolution

Other Research Participants/Partners:

Clint Dawson, University of Texas at Austin

Project Description:

Coastal communities rely on predictions of flooding caused by storms. Computational models are essential for making these predictions, but a typical prediction can require hundreds or even thousands of computational cores in a supercomputer and several hours of wall-clock time. In this project, we will improve the performance and accuracy of a widely-used, predictive model for coastal flooding. The model’s representation of the coastal environment will adapt during the storm, to better utilize the computing resources and ultimately provide a faster prediction.

Project Abstract

Research Interests:

Development of computational models for wind waves and coastal circulation, and their application to high-resolution simulations of ocean behavior

Contact Info:

Phone: (919) 515-5277
Categories: