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Stochastic extreme rainfall simulations around Montpellier

(1) , (2) , (3) , (4)
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Abstract

To better manage the risks of destructive natural disasters, impact models can be fed with simulations of extreme scenarios to study sensitivity to temporal and spatial variability. We propose semi-parametric stochastic simulation of realistic spatio-temporal extreme fields using a moderate number of observed extreme space-time episodes to generate an unlimited number of extreme scenarios of any magnitude. Our framework draws sound theoretical justification from extreme value theory, building on generalized Pareto limit processes. For illustration on hourly gridded precipitation data in Mediterranean France, we calculate risk measures using extreme event simulations for yet unobserved magnitudes.
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Dates and versions

hal-02417687 , version 1 (13-01-2020)

Identifiers

  • HAL Id : hal-02417687 , version 1

Cite

Fátima Palacios Rodríguez, Gwladys Toulemonde, Julie Carreau, Thomas Opitz. Stochastic extreme rainfall simulations around Montpellier. 8èmes journées scientifiques du LabEx NUMEV, Nov 2019, Montpellier, France. ⟨hal-02417687⟩
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