Johnathan wins First Place in Student Presentation Competition

Ph.D. student Johnathan Woodruff won first place in the student presentation competition during the annual Environmental, Water Resources, and Coastal Engineering Research Symposium. This award is chosen by judges from among all of the student presentations and is reflective of both compelling research activities and excellent presentation skills. The award includes a $500 cash stipend.

Congratulations to Johnathan!

CCHT Ph.D. student Johnathan Woodruff.

Virtual Conference: EWC Symposium 2021

BA Rumbaugh, JC Dietrich. “Impact of storm events on density stratification in the Pamlico and Albemarle Estuarine System.Environmental, Water Resources, and Coastal Engineering Research Symposium, North Carolina State University, 26 February 2021.

JL Woodruff, JC Dietrich, AB Kennedy, D Wirasaet, D Bolster, Z Silver, S Medlin, RL Kolar. “Finite Element Shallow Water Flow Model with Subgrid Corrections for Efficient Predictions of Storm-Driven Coastal Flooding.Environmental, Water Resources, and Coastal Engineering Research Symposium, North Carolina State University, 26 February 2021.

Posters: EWC Symposium 2020

A Poisson, JC Dietrich “Improving ‘sub-grid’ representation in the SLOSH model. Environmental, Water Resources, and Coastal Engineering Research Symposium , North Carolina State University, 6 March 2020.

Improving ‘sub-grid’ representation in the SLOSH model.

CA Rucker, N Tull, JC Dietrich, R Luettich, R Cyriac. “Improving the accuracy of a real-time ADCIRC storm surge downscaling model. Environmental, Water Resources, and Coastal Engineering Research Symposium , North Carolina State University, 6 March 2020.

Improving the accuracy of a real-time ADCIRC storm surge downscaling model.

JL Woodruff, JC Dietrich, AB Kennedy, D Wirasaet, D Bolster, Z Silver, RL Kolar. “Improving predictions of coastal flooding via sub-mesh corrections.Environmental, Water Resources, and Coastal Engineering Research Symposium, North Carolina State University, 6 March 2020.

Improving predictions of coastal flooding via sub-mesh corrections.

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