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Space-time extreme processes simulation for flash floods in Mediterranean France

Abstract : Flash floods in France are highly destructive natural phenomena, not only by creating material damage but also by threatening the safety of human life. To anticipate the impact of such disasters, it is crucial to propose stochastic simulation methods of realistic scenarios for spatio-temporal extreme fields. Pareto processes are justified because they model phenomena that exceed a certain extreme threshold. Therefore, they are promising models for the aforementioned challenge. Nonparametric and parametric approaches in this framework have been provided over last years, but the proposed models do not establish a direct link to Pareto processes. A semiparametric method for simulation of extreme space-time generalized Pareto processes is introduced. A key benefit of the proposed method is that it allows to generate an unlimited number of realizations of such extreme fields. Our simulation method is applied to a rainfall data-set to model flash floods in a region in Mediterranean France.
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Contributor : Fatima Palacios Rodriguez <>
Submitted on : Wednesday, January 2, 2019 - 9:02:29 AM
Last modification on : Monday, November 30, 2020 - 6:42:01 PM


  • HAL Id : hal-01968104, version 1


Fátima Palacios Rodríguez, Gwladys Toulemonde, Julie Carreau, Thomas Opitz. Space-time extreme processes simulation for flash floods in Mediterranean France. METMA 2018 - 9th Workshop on Spatio-temporal modelling, Jun 2018, Montpellier, France. pp.1-4. ⟨hal-01968104⟩



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