I expanded this research by using P-Surge model runs that were run retroactively for a handful of Atlantic hurricanes. By combining Python with Esri’s ArcGIS software, I was able to effectively process surge values for tens of thousands of grid points. Comparisons between model outputs at various exceedances over time and observed values at landfall were used to compare accuracy. In particular, I attempted to find if the onset of significant storm surge (> 3 feet inundation) could be accurately forecast in P-Surge. Initial findings suggest that using a ten percent exceedance 36 to 48 hours before landfall is ideal. However, as landfall approaches a twenty or even thirty percent exceedance may be the most useful. More storms will need to be analyzed to yield a statistically significant sample size.