SPATIO-TEMPORAL MODELLING OF EXTREME STORMS

被引:19
|
作者
Economou, Theodoros [1 ]
Stephenson, David B. [1 ]
Ferro, Christopher A. T. [1 ]
机构
[1] Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England
来源
ANNALS OF APPLIED STATISTICS | 2014年 / 8卷 / 04期
关键词
Bayesian hierarchical model; spatial random effects; natural hazards; extra-tropical cyclones; extreme value distribution; European windstorms; WIND STORMS; STATISTICS; FORECASTS;
D O I
10.1214/14-AOAS766
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
A flexible spatio-temporal model is implemented to analyse extreme extra-tropical cyclones objectively identified over the Atlantic and Europe in 6-hourly re-analyses from 1979-2009. Spatial variation in the extremal properties of the cyclones is captured using a 150 cell spatial regularisation, latitude as a covariate, and spatial random effects. The North Atlantic Oscillation (NAO) is also used as a covariate and is found to have a significant effect on intensifying extremal storm behaviour, especially over Northern Europe and the Iberian peninsula. Estimates of lower bounds on minimum sea-level pressure are typically 10-50 hPa below the minimum values observed for historical storms with largest differences occurring when the NAO index is positive.
引用
收藏
页码:2223 / 2246
页数:24
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