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Journal Articles Spatial Statistics Year : 2017

Modeling extreme rainfall A comparative study of spatial extreme value models

Abstract

In this paper, focus is done on spatial models for extreme events and on their respective efficiency regarding the estimation of two risk measures: one extrapolating marginal distributions and one summarizing the spatial bivariate dependence of extremes. A wide comparison is performed on an innovative simulation plan that has been specifically designed from a daily precipitation data set. The objective of this paper is twofold: firstly, pointing out the inherent properties of each model, and secondly, advising users on how to choose the model depending on the specific type of risk.
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Dates and versions

hal-01702688 , version 1 (07-02-2018)

Identifiers

  • HAL Id : hal-01702688 , version 1

Cite

Quentin Sebille, Anne-Laure Fougères, Cécile Mercadier. Modeling extreme rainfall A comparative study of spatial extreme value models. Spatial Statistics, 2017, Volume 21 (Part A), pp.187-208. ⟨hal-01702688⟩
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