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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:

In this ongoing project, researchers have developed three related technologies to improve the performance and accuracy of the ADvanced CIRCulation (ADCIRC) model, which is used widely for predictions of coastal flooding due to hurricanes and other storms.  These three technologies are Adcirpolate, ADCIRC+DLB and Kalpana. These project technologies  have shown they improve the performance of ADCIRC.  However, they are not yet included in the operational workflow of the ADCIRC Prediction System™ (APS™). Researchers will work with the principal APS developers/operators to transition the technologies so they can be useful in real-time.

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