Stochastic extreme rainfall simulations around Montpellier - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Poster Communications Year : 2019

Stochastic extreme rainfall simulations around Montpellier


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.
Fichier principal
Vignette du fichier
Poster2019Numev.pdf (1.33 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

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


  • HAL Id : hal-02417687 , version 1


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⟩
117 View
145 Download


Gmail Facebook X LinkedIn More