Project Name:Accurate and Fast Spectral Wave Modeling and Coupling with ADCIRC
Other Research Participants/Partners:Don Resio, University of North Florida, and Casey Dietrich, North Carolina State University
The ADCIRC coastal circulation and storm surge modeling system has been optimized for large-scale parallel computing hardware and has shown to be scalable up to thousands of processing cores. Given meteorological and tidal information, ADCIRC (ignoring wave physics) can produce a five-day prediction of water levels and velocities within a reasonable time frame for decision-makers, usually 15-30 minutes. With enough computing resources, ensembles of model runs can also be performed to account for uncertainty, e.g., for forecasting applications. The first goal of this project is to improve physics of wave models to increase both the accuracy and efficiency of storm surge predictions. The wave model developed by Resio et al will be tested and encapsulated for incorporation into the ADCIRC Prediction System™ (APS™). The second goal of this project is to incorporate and test the new wave physics within the APS™. ADCIRC developers are working with a team at NOAA to develop a coupled ADCIRC/WaveWatchIII (WWIII) model using the NUOPC framework. We will build upon this framework in this phase of the project.
Numerical methods for partial differential equations, specifically flow and transport problems in CFD; scientific computing and parallel computing; finite element analysis, discontinuous Galerkin methods; shallow water systems, hurricane storm surge modeling, rainfall-induced flooding; ground water systems, flow in porous media, geochemistry; data assimilation, parameter estimation, uncertainty and error estimation.
Presentations and Reports:
In the News:
NC State project aims to create faster storm surge forecasting
Students participate in second annual summer exchange program
Students, faculty to exchange for summer research programs
CRC researchers working with Hurricane Matthew-affected communities
Coastal Resilience Center researchers, partners aid in Hurricane Matthew preparation and recovery
Four projects improving on ADCIRC speed, reliability
Students at CRC partners to hear from experts around Center
ProPublica uses ADCIRC for investigation on Houston disaster preparedness
Can artificial intelligence better predict flooding in coastal areas?
Modeling Hurricane Florence and the ‘Mathematics Of Planet Earth’ Conference
Live Hurricane Florence coverage from around the state
Hurricane Hindsight: Researchers Work to Improve Coastal Flooding Predictions
Hurricane Irma lets North Carolina off easy
National Consortium for Data Science Webinar: Mapping and Visualization of Coastal Flood Forecasts for Decision Support