Hurricanes wreak havoc on the lives and infrastructure ofcoastal communities. Storm surge, a local rise in sea level elevations, is perhaps the most devastating element of these tropical cyclones. Storm surge depends on the tidal stage, barometric pressure, Coriolis effects, wind stress, and wave forcing, as well as the local bathymetry. In the past,many storm surge numerical models, such as Sea, Lake, and Overland Surges from Hurricanes (SLOSH), neglect wave forcing components to conserve computational efficiency. This omission would surely be preferred when wave forcing is not significant. However, numerous situations couldnecessitate the inclusion of waves' effects to more correctly model the surge both spatially and temporally. In its effort to characterize the combined effects of hurricane hazards (hurricane wind, storm surge, and waves) for use in developing structural design criteria for coastal structures, NIST in collaboration with the NOAA's MeteorologicalDevelopment Laboratory (MDL) and the Oceanic and Atmospheric Research (OAR) has developed a methodology that incorporates hurricane science, hydrology, probabilistic methods, and structural engineering needs for use in developing site specific, risk-based design criteria for coastal structures subjected to the above hurricane hazards. This early effort utilizes program SLOSH for hydrodynamic simulations without consideration of wave effects. Recognizing that wave set-up and mass flux might have a significant influence on total storm surge levels, the NIST then collaborated with NOAA's National Hurricane Center (NHC) to provide funding and technical guidance to the University of Florida for the incorporation of a wave model into the SLOSH model to extend SLOSH capability. The result of this effort is described in this report.

Hurricanes wreak havoc on the lives and infrastructure of coastal communities. Storm surge, a local rise in sea elevations, is perhaps the most devastating element of these tropical cyclones. Storm surge depends on the tidal stage, barometric pressure, Coriolis effect, wind stress, and wave forcing, as well as the local bathymetry. In the past, many storm surge numerical models, such as Sea, Lake, and Overland Surges from Hurricanes (SLOSH) (JELESNIANSKI et al, 1992), neglect wave forcing components to conserve computational efficiency. However, numerous situations necessitate the inclusion of waves' effects to more correctly model the surge both spatially and temporally.