Prediction and Verification of Storm Surge During Hurricane Sandy with the NWS SLOSH Model

The authors will present the findings of a numerical storm surge prediction model and forecast validation study performed using extensive hydrodynamic observations compiled during Hurricane Sandy (2012) including NOS tide stations, USGS pressure sensors, and USGS high water marks.

An optimized version of the SLOSH code that includes astronomical tides is used to determine the maximum inundation above ground level (AGL) and the degree, extent and forecast trend of the inundation.

The model results will be used to assess how well the predicted maximum water levels converge to those produced by the actual storm.

The analysis provides a platform for future modeling and forecast improvements which will support the upcoming high-resolution inundation graphic (2014) and storm surge warning (2015).