Using a Coupled Numerical Modeling System to Investigate Flooding Impacts During Hurricane Florence (2018)
Sponsor: United States Geological Survey
North Carolina State University: Joseph B. Zambon, Ruoying He
United States Geological Survey: John Warner
February 2020 - March 2022
We will continue OOMG's work on coastal circulation dynamics using both models and observations by investigating the impacts of Hurricane Florence’s devastating landfall in North and South Carolina in 2018. By including a hydrological model, WRF-Hydro, we hope to better predict coastal and inland flooding through including the atmosphere-hydrology cycle in the ocean-atmosphere-wave coupled system that is needed to accurately resolve landfalling hurricanes. We will leverage our existing assets at the NCSU High-Performance Computing center and through cloud-based solutions (Amazon Web Services), to develop comprehensive simulations linking the coastal environment to inland hydrological cycles, both of which were severely impacted by Hurricane Florence.
Work is in progress.
Results from this project were presented at several meetings and workshops in 2021, including two NSF-sponsored panel discussions on the relocation of the Pioneer Array, the American Meteorological Society, and American Geophysical Union general meetings.
- “Investigation of Extreme Weather, Wave, and Precipitation During Hurricane Florence (2018) Using the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST) Model” by Joseph B. Zambon, Ruoying He, John Warner, and Christie Hegermiller. American Meteorological Society conference, Boston, MA, January 2020
- “Investigation of Extreme Weather, Wave, and Precipitation During Hurricane Florence (2018) Using the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST) Model” by Joseph B. Zambon, Ruoying He, John Warner, and Christie Hegermiller presented virtually at two NSF panel discussions in 2021.
- Zambon, J. B., He, R., Warner, J. C. & Hegermiller, C. A. (2021) Impact of SST and Surface Waves on Hurricane Florence (2018): A Coupled Modeling Investigation. Weather and Forecasting, 36, 1713–1734.