Simulation of Hurricane Risk in the U.S. Using Empirical Track Model

Peter J. Vickery, Peter F. Skerlj, Lawrence A. Twisdale

Journal of Structural Engineering · 2000 · 597 citations · 19 references

Concepts

TL;DR

The study introduces a new technique for modeling hurricane risk in the United States. The authors use a storm‑track model that simulates each hurricane’s full oceanic and landfall trajectory, modeling central pressure as a function of sea‑surface temperature, and validate the approach by comparing simulated and observed statistics such as pressure, speed, heading, approach distance, and regional landfall rates of intense hurricanes. The model successfully reproduces the spatially varying hurricane climatology along the U.S.

Abstract

This paper describes a new technique for modeling hurricane risk in the United States. A storm track modeling approach is employed where, for each hurricane, the entire track as it crosses the ocean and makes landfall is modeled. The central pressure is modeled as a function of the sea surface temperature. The approach is validated through comparisons of simulated and observed key hurricane statistics (central pressure, translation speed, heading, and approach distance) along the U.S. coastline. The simulated and observed landfall rates of intense hurricanes (Saffir-Simpson Scale 3 and higher) also are compared on a regional basis along the coast. The model is able to reproduce the continuously varying hurricane climatology along the U.S. coastline, and it provides a rational means for examining the hurricane risk for geographically distributed systems such as transmission lines and insurance portfolios.

References

19