Spatio-temporal modelling of extreme storms

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, lat...

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Bibliographic Details
Published in:The Annals of Applied Statistics
Main Authors: Economou, Theodoros, Stephenson, David B., Ferro, Christopher A. T.
Format: Text
Language:English
Published: The Institute of Mathematical Statistics 2014
Subjects:
Online Access:http://projecteuclid.org/euclid.aoas/1419001741
https://doi.org/10.1214/14-AOAS766
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spelling ftculeuclid:oai:CULeuclid:euclid.aoas/1419001741 2023-05-15T17:31:54+02:00 Spatio-temporal modelling of extreme storms Economou, Theodoros Stephenson, David B. Ferro, Christopher A. T. 2014-12 application/pdf http://projecteuclid.org/euclid.aoas/1419001741 https://doi.org/10.1214/14-AOAS766 en eng The Institute of Mathematical Statistics 1932-6157 1941-7330 Copyright 2014 Institute of Mathematical Statistics Bayesian hierarchical model spatial random effects natural hazards extra-tropical cyclones extreme value distribution European windstorms Text 2014 ftculeuclid https://doi.org/10.1214/14-AOAS766 2018-10-06T12:48:48Z 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. Text North Atlantic North Atlantic oscillation Project Euclid (Cornell University Library) The Annals of Applied Statistics 8 4
institution Open Polar
collection Project Euclid (Cornell University Library)
op_collection_id ftculeuclid
language English
topic Bayesian hierarchical model
spatial random effects
natural hazards
extra-tropical cyclones
extreme value distribution
European windstorms
spellingShingle Bayesian hierarchical model
spatial random effects
natural hazards
extra-tropical cyclones
extreme value distribution
European windstorms
Economou, Theodoros
Stephenson, David B.
Ferro, Christopher A. T.
Spatio-temporal modelling of extreme storms
topic_facet Bayesian hierarchical model
spatial random effects
natural hazards
extra-tropical cyclones
extreme value distribution
European windstorms
description 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.
format Text
author Economou, Theodoros
Stephenson, David B.
Ferro, Christopher A. T.
author_facet Economou, Theodoros
Stephenson, David B.
Ferro, Christopher A. T.
author_sort Economou, Theodoros
title Spatio-temporal modelling of extreme storms
title_short Spatio-temporal modelling of extreme storms
title_full Spatio-temporal modelling of extreme storms
title_fullStr Spatio-temporal modelling of extreme storms
title_full_unstemmed Spatio-temporal modelling of extreme storms
title_sort spatio-temporal modelling of extreme storms
publisher The Institute of Mathematical Statistics
publishDate 2014
url http://projecteuclid.org/euclid.aoas/1419001741
https://doi.org/10.1214/14-AOAS766
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation 1932-6157
1941-7330
op_rights Copyright 2014 Institute of Mathematical Statistics
op_doi https://doi.org/10.1214/14-AOAS766
container_title The Annals of Applied Statistics
container_volume 8
container_issue 4
_version_ 1766129798700072960