A Simulation Approach for Estimating Hurricane Risk over a 5-yr Horizon

AbstractWe develop a stochastic North Atlantic hurricane track model whose climate inputs are Atlantic main development region (MDR) and Indo-Pacific (IP) sea surface temperatures and produce extremely long model simulations for 58 different climates, each one conditioned on 5 yr of observed SSTs from 1950 to 2011—hereafter referred as medium-term (MT) views.Stringent tests are then performed to prove that MT simulations are better predictors of hurricane landfalls than a long-term view conditioned on the entire SST time series from 1950 to 2011.In this analysis, the authors extrapolate beyond the historical record, but not in terms of a forecast of future conditions. Rather it is attempted to define—within the limitation of the modeling approach—the magnitude of extreme events that could have materialized in the past at fixed probability thresholds and what is the likelihood of observed landfalls given such estimates.Finally, a loss proxy is built and the value of the analysis results from a simplified p...

[1]  Volker Schmidt,et al.  Stochastic modelling of tropical cyclone tracks , 2007, Math. Methods Oper. Res..

[2]  Christopher W. Landsea,et al.  Counting Atlantic tropical cyclones back to 1900 , 2007 .

[3]  Katie Coughlin,et al.  Interannual temperature predictions using the CMIP3 multi‐model ensemble mean , 2008 .

[4]  Liguang Wu,et al.  Influence of Sea Surface Warming on Environmental Factors Affecting Long-Term Changes of Atlantic Tropical Cyclone Formation , 2010 .

[5]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[6]  Michael E. Mann,et al.  Observed and Simulated Multidecadal Variability in the Northern Hemisphere , 1999 .

[7]  C. Landsea,et al.  Atlantic Hurricane Database Uncertainty and Presentation of a New Database Format , 2013 .

[8]  E. Chang,et al.  Is the number of North Atlantic tropical cyclones significantly underestimated prior to the availability of satellite observations? , 2007 .

[9]  J. McBride Observational Analysis of Tropical Cyclone Formation. Part I: Basic Description of Data Sets , 1981 .

[10]  Xufeng Niu,et al.  Detecting Shifts in Hurricane Rates Using a Markov Chain Monte Carlo Approach , 2004 .

[11]  L. Kantha Correction to ``Time to Replace the Saffir-Simpson Hurricane Scale?'' , 2006 .

[12]  G. Vecchi,et al.  On Estimates of Historical North Atlantic Tropical Cyclone Activity , 2008 .

[13]  J. Elsner,et al.  Improving Multiseason Forecasts of North Atlantic Hurricane Activity , 2008 .

[14]  Nicholas J. Cook,et al.  Comments on “Plotting Positions in Extreme Value Analysis” , 2011 .

[15]  C. Thorncroft,et al.  Climatology of Vertical Wind Shear over the Tropical Atlantic , 2006 .

[16]  Lawrence A. Twisdale,et al.  SIMULATION OF HURRICANE RISK IN THE U.S. USING EMPIRICAL TRACK MODEL , 2000 .

[17]  M. Tippett,et al.  Pacific meridional mode and El Niño—Southern Oscillation , 2007 .

[18]  Sai Ravela,et al.  A STATISTICAL DETERMINISTIC APPROACH TO HURRICANE RISK ASSESSMENT , 2006 .

[19]  X. Niu,et al.  Changes in the rates of North Atlantic major hurricane activity during the 20th century , 2000 .

[20]  Hui Wang,et al.  Statistical–Dynamical Predictions of Seasonal North Atlantic Hurricane Activity , 2011 .

[21]  Lb Mason,et al.  Synthetic tropical cyclone database , 2005 .

[22]  Suzana J. Camargo,et al.  Climate Modulation of North Atlantic Hurricane Tracks , 2010 .

[23]  K. Emanuel,et al.  Potential Economic Value of Seasonal Hurricane Forecasts , 2012 .

[24]  S. Jewson,et al.  Statistical modelling of North Atlantic tropical cyclone tracks , 2007 .

[25]  Francesco Serinaldi,et al.  Assessing the applicability of fractional order statistics for computing confidence intervals for extreme quantiles , 2009 .

[26]  W. M. Gray,et al.  The Recent Increase in Atlantic Hurricane Activity: Causes and Implications , 2001, Science.

[27]  Chunzai Wang,et al.  Global warming and United States landfalling hurricanes , 2008 .

[28]  John A. Knaff,et al.  NOTES AND CORRESPONDENCE Improvement of Advanced Microwave Sounding Unit Tropical Cyclone Intensity and Size Estimation Algorithms , 2006 .

[29]  Brian J. Soden,et al.  Climatological Variations in North Atlantic Tropical Cyclone Tracks , 2012 .

[30]  E. Yonekura,et al.  A Statistical Model of Tropical Cyclone Tracks in the Western North Pacific with ENSO-Dependent Cyclogenesis , 2011 .

[31]  J. Elsner,et al.  Climatology Models for Extreme Hurricane Winds near the United States , 2006 .

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

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

[34]  E. Yonekura,et al.  North American Tropical Cyclone Landfall and SST: A Statistical Model Study , 2013 .

[35]  John A. Knaff,et al.  A Tropical Cyclone Genesis Parameter for the Tropical Atlantic , 2001 .

[36]  Andrew L. Hulme,et al.  Synoptic- and Frontal-Scale Influences on Tropical Transition Events in the Atlantic Basin. Part I: A Six-Case Survey , 2009 .

[37]  Lance F. Bosart,et al.  The Role of Synoptic-Scale Flow during Tropical Cyclogenesis over the North Atlantic Ocean , 2000 .

[38]  E. Casson,et al.  Simulation and extremal analysis of hurricane events , 2000 .

[39]  W. M. Gray,et al.  GLOBAL VIEW OF THE ORIGIN OF TROPICAL DISTURBANCES AND STORMS , 1968 .

[40]  Mark DeMaria,et al.  The Effect of Vertical Shear on Tropical Cyclone Intensity Change , 1996 .

[41]  Daniel J. Vimont,et al.  The Atlantic Meridional Mode and hurricane activity , 2007 .

[42]  G. Vecchi,et al.  Global Warming and the Weakening of the Tropical Circulation , 2007 .

[43]  Lennart Bengtsson,et al.  Impact of Duration Thresholds on Atlantic Tropical Cyclone Counts , 2010 .

[44]  Elizabeth C. Kent,et al.  Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century , 2003 .

[45]  Raymond M. Zehr,et al.  Reexamination of Tropical Cyclone Wind–Pressure Relationships , 2007 .

[46]  Raymond M. Zehr,et al.  Observational Analysis of Tropical Cyclone Formation. Part II: Comparison of Non-Developing versus Developing Systems , 1981 .

[47]  G. Vecchi,et al.  Estimating Annual Numbers of Atlantic Hurricanes Missing from the HURDAT Database (1878–1965) Using Ship Track Density , 2011 .

[48]  R. Darling,et al.  Parametric Representation of the Primary Hurricane Vortex. Part II: A New Family of Sectionally Continuous Profiles , 2006 .

[49]  R. Atlas,et al.  Impact of the Atlantic warm pool on United States landfalling hurricanes , 2011 .

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

[51]  Augustin Colette,et al.  Using Mesoscale Simulations to Train Statistical Models of Tropical Cyclone Intensity over Land , 2010 .

[52]  V. Angelopoulos,et al.  THEMIS observations of penetration of the plasma sheet into the ring current region during a magnetic storm , 2008 .

[53]  Stephen Jewson,et al.  The spatial structure of European wind storms as characterized by bivariate extreme-value Copulas , 2012 .

[54]  J. Elsner,et al.  Climate and solar signals in property damage losses from hurricanes affecting the United States , 2011 .