Case Study

Quantifying the risk of shoreline hazards: The datasets needed for effective catastrophe modeling

Quantifying the risk of shoreline hazards: The datasets needed for effective catastrophe modeling

Model with precision Seventy-five percent of the US population resides in a coastal area 1 . Potential hazards go beyond simple flooding. Erosion, deposition and changes in littoral cells can impact the risks associated with coastline structures. Additional triggers include high winds, flooding due to intense precipitation and storm surges caused by tropical cyclones, tsunami, landslides and tidal waves. Since Hurricane Katrina, catastrophe modelers are paying even more attention to coastal hazards, looking for new ways to mitigate risks and identify gaps in their underwriting processes. Today, reliable models start with accurate data. This includes up-to-date datasets for each of the aforementioned triggering factors, plus details on the property in question, such as its type,

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