A region-based hierarchical model for extreme rainfall over the UK, incorporating spatial dependence and temporal trend

被引:12
|
作者
Atyeo, Jonathan [1 ]
Walshaw, David [1 ]
机构
[1] Newcastle Univ, Sch Math & Stat, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
基金
英国工程与自然科学研究理事会;
关键词
regional model; Gaussian tail model; generalized extreme value distribution; asymptotic independence; extreme rain;
D O I
10.1002/env.2155
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, we develop a Bayesian hierarchical model for extreme rainfall over the entire U.K. The model is based around a strong regional structure, so that for each of nine distinct physiographic regions, we impose a distinct model for the marginal behaviour that employs site-specific covariate information, and a model for the dependence structure. Using data collected at 204 locations over a 40-year period, the model is designed to meet the challenges posed by the problem, specifically: the distinct extremal behaviour in the different regions; the need to model extremal dependence for up to 25 sites within a region; and the possibility of temporal trends within the extreme rainfall climate. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:509 / 521
页数:13
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