Type of Document	Thesis
Author	Malmstadt, Jill C.
Author's Email Address	jmalmstadt@fsu.edu
URN	etd-04072009-112628
Title	Pre-Landfall Intensity as Predictor of Economic Loss from Florida Hurricanes, 1900-2007.
Degree	Master of Science
Department	Geography, Department of
Advisory Committee	Advisor Name Title James B. Elsner Committee Chair J. Anthony Stallins Committee Member T. Victor Mesev Committee Member
Keywords	Florida Hurricanes Economic Loss Correlation Log Linear Regression
Date of Defense	2009-03-04
Availability	unrestricted
Abstract Florida is uniquely susceptible to economic loss from hurricanes and has been affected by some of the most destructive to ever reach the United States. In the wake of the devastating 2005 Atlantic hurricane season, risk assessment companies and reinsurance companies have spent millions of dollars annually to try and predict the expected economic loss from direct hurricane strikes. These companies base their predictions on historical hurricane events and the expected intensity of the current event at landfall. A large portion of economic loss from hurricanes comes from the storm surge, and storm surge is better predicted using intensities prior to landfall (Jordan and Clayson 2008). The relationship between economic loss and hurricane intensity prior to landfall is analyzed using the best available data, and a log linear model is created for use in economic loss prediction. Results show that intensity 5 hours prior to landfall is a better estimate of overall economic loss than the expected intensity at landfall. Additional storm variables may be considered to further explain the relationship between economic loss and hurricane characteristics prior to landfall.
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