A Dynamic Probability Model of Hurricane Winds in Coastal Counties of the United States

Abstract The authors develop and apply a model that uses hurricane-experience data in counties along the U.S. hurricane coast to give annual exceedence probabilities to maximum tropical cyclone wind events. The model uses a maximum likelihood estimator to determine a linear regression for the scale and shape parameters of the Weibull distribution for maximum wind speed. Model simulations provide quantiles for the probabilities at prescribed hurricane intensities. When the model is run in the raw climatological mode, median probabilities compare favorably with probabilities from the National Hurricane Center’s risk analysis program “HURISK” model. When the model is run in the conditional climatological mode, covariate information in the form of regression equations for the distributional parameters allows probabilities to be estimated that are conditioned on climate factors. Changes to annual hurricane probabilities with respect to a combined effect of a La Nina event and a negative phase of the North Atla...

[1]  E. Simiu,et al.  Hurricane Wind Speeds in the United States , 1980 .

[2]  C. J. Neumann.  Tropical cyclones of the North Atlantic Ocean, 1871-1986. , 1987 .

[3]  Paul J. Hebert,et al.  Hurricane experience levels of coastal county populations, Texas to Maine , 1975 .

[4]  P. Chu,et al.  Modeling Return Periods of Tropical Cyclone Intensities in the Vicinity of Hawaii , 1998 .

[5]  James B. Elsner,et al.  Hurricanes of the North Atlantic: Climate and Society , 1999 .

[6]  P. Jones,et al.  Extension to the North Atlantic oscillation using early instrumental pressure observations from Gibraltar and south‐west Iceland , 1997 .

[7]  Xufeng Niu,et al.  Effect of El Niño on U.S. landfalling hurricanes, revisited , 1998 .

[8]  Kenneth J. Berry,et al.  Predicting Atlantic Seasonal Hurricane Activity 6–11 Months in Advance , 1992 .

[9]  Roger S. Pulwarty,et al.  Hurricanes : climate and socioeconomic impacts , 1997 .

[10]  Christopher J. Merchant,et al.  Atlantic hurricanes and NW Pacific typhoons: ENSO spatial impacts on occurrence and landfall , 2000 .

[11]  James B. Elsner,et al.  Seasonal Prediction Models for North Atlantic Basin Hurricane Location , 1997 .

[12]  L. Chouinard,et al.  MODEL FOR RECURRENCE RATE OF HURRICANES IN GULF OF MEXICO , 1997 .

[13]  C. J. Neumann.  The national hurricane center risk analysis program (HURISK) , 1987 .

[14]  James B. Elsner,et al.  Spatial Variations in Major U.S. Hurricane Activity: Statistics and a Physical Mechanism , 2000 .

[15]  J. Rupp,et al.  A Technique for Estimating Recurrence Intervals of Tropical Cyclone-Related High Winds in the Tropics: Results for Guam , 1996 .

[16]  J. Elsner,et al.  Objective Classification of Atlantic Hurricanes , 1996 .

[17]  P. Jones,et al.  An Extension of the TahitiDarwin Southern Oscillation Index , 1987 .

[18]  H. Wilson,et al.  Hurricanes of the North Atlantic: Climate and Society , 2001 .

[19]  R. H. Simpson,et al.  The hurricane disaster potential scale , 1974 .

[20]  R. W. R. Darling,et al.  Estimating probabilities of hurricane wind speeds using a large-scale empirical model , 1991 .

[21]  Mary W. Downton,et al.  Evaluation of Catastrophe Models Using a Normalized Historical Record : Why it is needed and how to do it , 1999 .