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New research led by USGS SPCMSC researcher Justin Birchler assesses the skill of the USGS/NOAA Total Water Level and Coastal Change Forecast along the North Carolina coast during the landfall of Hurricane Isaias in August 2020. 

Map shows colored dots predicting dune impacts on coastal N. and S. Carolinas. Darker dots predict greater impact.
Map comparison of predicted dune impacts described by storm impact scaling regime (Sallenger, 2000; Sherwood et al., 2022) from the Total Water Level and Coastal Change Forecast (circles, outer band) and locations of observed overwash for Wilmington, North Carolina, USA (ILM) and Morehead City, North Carolina, USA (MHX) National Weather Service regions (squares, inner band) for impacts of Hurricane Isaias in August 2020. The solid black line north of Wrightsville Beach denotes the region transition from ILM (south) and MHX (north). Courtesy of Journal of Coastal Engineering: Open Access. Attribution 4.0 International Deed, CC BY 4.0

The Total Water Level and Coastal Change Forecast (TWL&CC Forecast) provides coastal communities with 6-day notice of potential elevated water levels and coastal change (i.e., dune erosion, overwash, or inundation) on sandy beaches that threatens safety, infrastructure, or resources. This work assesses the skill of forecasts during a period of elevated water levels along the coast of North Carolina caused by Hurricane Isaias in August 2020, using a combination of observations and model hindcasts. Water levels and waves were observed throughout the storm at three locations near Wrightsville Beach, NC; a wave buoy offshore, a tide gage at a local pier, and a pressure sensor deployed at the pier. A wave resolving hydrodynamic model was forced with hourly wave energy to hindcast wave-induced water levels at the shoreline. The analyses demonstrated that water level observations at the pier were a useful proxy for total water levels at the shoreline (sum of tide, surge and wave runup) that are predicted by the TWL&CC Forecast. Wave-driven water levels accounted for 52 percent of the forecast TWL during the three peak hours of Isaias. The skill demonstrated (TWL bias = -0.54 meters) indicates that the forecasting system can provide fast and reliable predictions of TWL across hundreds of miles of coastline at sub-mile resolution, days to hours in advance of when storms threaten coastal regions.

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