Abstract
AbstractFor the generation of synthetic storms in order to estimate claims due to storm hazards there exist a couple of commercial tools. They are based on expert's knowledge and physical models of wind appearance or work with distortions of historical hazards. In contrast to these approaches we present a purely data driven model. From the historical data we extracted the hourly wind peaks over the last two decades and derived by algebraic methods a stochastic storm model in form of a polynomial chaos expansion.
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