JA Puleo, JC Dietrich, J Figlus, K Nederhoff, F Shi, SM Smallegan, CD Storlazzi, A van Dongeren. “Comparative assessment of total water levels for coastal military facility readiness and resilience using numerical models.” Department of Defense, Environmental Security Technology Certificate Program, 2022/04/13 to 2026/04/12, $2,177,000 (Dietrich: $346,000).
Author Archives: Casey Dietrich
Webinar: ECU
Johnathan wins Third Place in Student Presentation Competition
Congratulations to Johnathan!
Adaptation Pathways for Climate Change Resilience on Barrier Islands
![](https://ccht.ccee.ncsu.edu/wp-content/uploads/sites/10/2022/03/Anderson-2022-SB-150x150.png)
Improved Wave Predictions with ST6 Physics and ADCIRC+SWAN
![](https://ccht.ccee.ncsu.edu/wp-content/uploads/sites/10/2022/03/Day-2022-SB-150x150.png)
SWAN release version 41.20 included a new “package” of wave physics (referred to as ST6 physics). This package has new parameterizations of wind input, whitecapping, swell dissipation, wind speed scaling, and other processes (Rogers et al. 2012). The ST6 physics have been adopted by other wave models (e.g. NOAA’s WaveWatch III, Liu et al. 2019), and it may become the preferred physics package for SWAN. However, because the ST6 physics package has changes to so many parameterizations, it is necessary to quantify its effects on wave predictions. Recent studies (e.g. Aydogan and Ayat 2021) have demonstrated the benefits of using the ST6 physics in the standalone version of SWAN, but its effects have not been quantified for the coupled ADCIRC+SWAN (Dietrich et al. 2011a), which is used for real-time forecasts during impending storms. Do the ST6 physics improve the ADCIRC+SWAN wave predictions?
News: Subgrid Corrections in Spring Newsletter
Spring 2022 Newsletter
Our NSF project to implement subgrid corrections in ADCIRC was featured in the Spring 2022 newsletter for our department. This is great recognition for Johnathan’s PhD research.
Identifying the Drivers of Chronic Coastal Flooding: A Community-Centric Approach
The proposed work integrates outreach and research activities over the two-year project period to improve our prediction and communication of chronic flood hazards to stakeholders in the Town of Carolina Beach, NC (CB), a community plagued by chronic flooding. We will couple an existing high-resolution hydrodynamic model with a stormwater management model to hindcast and test hypotheses on the drivers of chronic, and sometimes unexpected, flood events in CB. In parallel, we will deploy a real-time flood sensor network in CB to continuously measure the stormwater network capacity and fill data gaps on the incidence and causes of chronic flooding. In response to the expressed need from local officials, we will also use the in-situ data to develop an early-warning system and engage community members to co-develop flood-mitigation design scenarios for future testing using the new model framework.
K Anarde, M Hino, A Gold, JC Dietrich. “Identifying the drivers of chronic coastal flooding: a community-centric approach.” National Oceanic and Oceanic Administration, North Carolina Sea Grant, 2022/02/01 to 2024/01/31, $119,411.
Ajimon’s Paper Selected as Editor’s Choice
![](https://ccht.ccee.ncsu.edu/wp-content/uploads/sites/10/2022/01/large_placeholder_cover.jpg)
Congratulations to Ajimon!