Physics
Scientific paper
Mar 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012georl..3906806p&link_type=abstract
Geophysical Research Letters, Volume 39, Issue 6, CiteID L06806
Physics
Natural Hazards: Atmospheric (0370, 3322, 3339), Natural Hazards: Statistical Analysis (1984, 1986), Natural Hazards: Spatial Modeling (3252, 3255), Natural Hazards: Vulnerability, Natural Hazards: Economic Impacts Of Disasters
Scientific paper
Analyzing insurance-loss data we derive stochastic storm-damage functions for residential buildings. On district level we fit power-law relations between daily loss and maximum wind speed, typically spanning more than 4 orders of magnitude. The estimated exponents for 439 German districts roughly range from 8 to 12. In addition, we find correlations among the parameters and socio-demographic data, which we employ in a simplified parametrization of the damage function with just 3 independent parameters for each district. A Monte Carlo method is used to generate loss estimates and confidence bounds of daily and annual storm damages in Germany. Our approach reproduces the annual progression of winter storm losses and enables to estimate daily losses over a wide range of magnitudes.
Burghoff O.
Held Hermann
Kropp Jürgen P.
Prahl B. F.
Rybski Diego
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