Journal
SPATIAL STATISTICS
Volume 21, Issue -, Pages 187-208Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.spasta.2017.06.009
Keywords
Spatial modeling of extreme events; Extreme value theory; Max-stable processes; Hierarchical models; Spatial prediction; Precipitation data
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Funding
- EDF [091353]
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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 dataset. 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. (C) 2017 Elsevier B.V. All rights reserved.
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