Analytic Solution for Wind-Driven Setup

In their manuscript “Analytic Solutions for Computer Flow Model Testing,” Lynch and Gray present solutions for water levels and depth-averaged velocities, for tidal and/or wind forcing, and for Cartesian and polar domains. These solutions have been useful for model validation, especially for tides, and especially within the ADCIRC community — the first example problem in the ADCIRC documentation is based on one of their solutions. That problem, for tidal flows in a polar domain, has been used to validate several model advancements over the years.

However, we found an error in their solution for wind-driven setup on a polar domain. It appears to be a typographical error — the variables are not updated correctly at the last step, when the solution is generalized for a wind with arbitrary direction. This solution is not used frequently, and we did not find a correction to this error in the literature (although we were unable to access every subsequent manuscript that cited the Lynch and Gray solution). So we are documenting it here.

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Presentation: HPC User Research Symposium

News: Post-Florence Field Observations

2018/10/10 – NCSU Civil, Construction, and Environmental Engineering
CCEE Researchers respond rapidly to Hurricane Florence

ncsu-engr

Much of the North Carolina coast is lined with sandy beaches and dunes, which can erode during storms, allowing sand onto major roadways and floodwaters into communities. To develop predictions for this erosion and its effects on infrastructure, it was critical to collect observations shortly after the storm. A multi-disciplinary team led by Dr. Elizabeth Sciaudone traveled to Dare County to collect time-sensitive data at Kitty Hawk, Nags Head, Pea Island, and Hatteras Island. Working in conjunction with the Institute for Transportation Research and Education (ITRE), the Center for Geospatial Analytics in the College of Natural Resources, and industry partner SenseFly, researchers surveyed beach and dune changes. Real-Time Kinematic GPS equipment was used to survey select cross-shore beach and dune profiles and document the extent of dune erosion and overwash (inland sand deposits), such as when NC Highway 12 becomes covered after large storms.

Autumn Poisson

Updated 2018/08/16

Ph.D. Student (Graduate Research Assistant)
Department of Civil, Construction and Environmental Engineering
North Carolina State University
Mann Hall, Room 424
2501 Stinson Drive
Raleigh NC 27607
apoisso@ncsu.edu

I am a first year PhD student in the CCHT at North Carolina State University. I am originally from Michigan where we have a different kind of coastline, but a very large one none the less. Living near the Great Lakes, my love for the natural environment was always present. I studied environmental science and mathematics at the University of Michigan for my undergraduate degree and then ecology for my masters. After graduating, I worked with various organizations on things related to environmental education, communication and outreach, and fresh water studies, and in a more pivotal position working on a coastal watershed restoration project on a small island in the Pacific Ocean. It was here where I fell in love with that other coast, the salty one. Afterward, I worked in landscape limnology (freshwater) research at Michigan State University with some truly amazing people who helped me develop an interest in the research process. From there I decided I needed a new challenge and needed to develop my own research interests, so I decided to apply to go back to school for my PhD.

During the start of my PhD, I will be working on the the NSF project “Subgrid-Scale Corrections to Increase the Accuracy and Efficiency of Storm Surge Models,” which has the goal of incorporating the more nuanced structure of coastal landscapes available in higher resolution storm surge models into broader scaled models thus reducing computation times while also maintaining model accuracy. Since I am just starting, my research interests have not been fully formed and are still rather broad. However, I hope to use my numerical modeling and quantitative skills to assist coastal communities as they prepare for the unforeseen changes they will experience. This includes learning more about coastal processes and coastal modeling to understand how storm events and subsequent storm surge will impact and alter the coastal landscape.

In addition to my work at NC State, I am also passionate about my personal health and fitness so I spend most of my free time either at the gym or cooking in the kitchen. I also love to read and spend time in the outdoors. I hope to experience all that North Carolina has to offer from the mountains to the sea.

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