In this web site, we share our research progress, from development to application, and from coding to publishing. Learn more about What We Do and how to Join Our Team.
Neural Network Predictions of Peak Storm Tides due to Tropical Cyclones

In this study, a NN is developed to predict peak values for storm tides (storm surge and tides) at nine stations along the North Carolina coast. For training, a library of storm-tides was developed via process-based model simulations of 1,813 synthetic storms based on historical data in the north Atlantic Ocean, but with a specific focus on North Carolina, and then augmented by a factor of 50 via combinations with random tides. Unlike previous NN, this approach incorporates the astronomical tides in the training and uses data augmentation techniques for enhanced generalization. The NN performs well, with root-mean-square errors of about 6 cm and mean bias errors for the extreme storms of about 5 cm. For probabilistic predictions of historical storms, the model can predict for 100 ensemble members in 1 sec, and the ranges of peak storm tides are close to their true values.
Resolution Sensitivities for Subgrid Modeling of Coastal Flooding

Community-Engaged Coastal Flood Modeling to Evaluate Sea Level Rise Adaptation Strategies

Sarah Grace selected as Global Change Research Fellow

The fellowship program is designed to train the next generation of global change scientists by providing financial, scientific, and professional development support for graduate students who are interested in multi-disciplinary research. They come together across disciplines to discover, collaborate, and share their knowledge with diverse stakeholders. Learn more about the program at the SECASC web site.
Congratulations to Sarah Grace!
Posters: ADCIRC Users Meeting 2025

Modeling storm surge flooding for participatory transformation of barrier islands: Hatteras Island, NC, USA.

Neural Network Predictions of Flood Maps

Baroclinic 3D modeling of circulation patterns in the Pamlico-Albemarle Sound System
Conference: ADCIRC Users Meeting 2025
Deterministic, Dynamic Model Forecasts of Storm‑Driven Coastal Erosion

Casey is Alumni Distinguished Undergraduate Professor

Casey received the award from Dr. Helen Chen, Senior Vice Provost for Instructional Programs, at the University Teaching Awards Luncheon and Ceremony.