Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadata

Cited literature [42 references]  Display  Hide  Download
Contributor : Anne-Laure Fougères Connect in order to contact the contributor
Submitted on : Wednesday, February 7, 2018 - 9:45:48 AM
Last modification on : Monday, June 28, 2021 - 2:26:07 PM
Long-term archiving on: : Friday, May 4, 2018 - 12:25:33 AM


Files produced by the author(s)


  • HAL Id : hal-01702688, version 1


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



Record views


Files downloads