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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Published in:The Annals of Applied Statistics
Main Authors: Economou, Theodoros, Stephenson, David B., Ferro, Christopher A.T.
Format: Article in Journal/Newspaper
Language:English
Published: Institute of Mathematical Statistics 2014
Subjects:
Online Access:http://hdl.handle.net/10871/17349
https://doi.org/10.1214/14-AOAS766
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spelling ftunivexeter:oai:ore.exeter.ac.uk:10871/17349 2023-05-15T17:31:28+02:00 Spatio-temporal modelling of extreme storms Economou, Theodoros Stephenson, David B. Ferro, Christopher A.T. 2014 http://hdl.handle.net/10871/17349 https://doi.org/10.1214/14-AOAS766 en eng Institute of Mathematical Statistics http://dx.doi.org/10.1214/14-AOAS766 http://projecteuclid.org/euclid.aoas/1419001741 Vol. 8 (4), pp. 2223 - 2246 doi:10.1214/14-AOAS766 http://hdl.handle.net/10871/17349 1932-6157 1941-7330 Annals of Applied Statistics Article 2014 ftunivexeter https://doi.org/10.1214/14-AOAS766 2022-11-20T21:31:10Z 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. Article in Journal/Newspaper North Atlantic North Atlantic oscillation University of Exeter: Open Research Exeter (ORE) The Annals of Applied Statistics 8 4
institution Open Polar
collection University of Exeter: Open Research Exeter (ORE)
op_collection_id ftunivexeter
language English
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 Article in Journal/Newspaper
author Economou, Theodoros
Stephenson, David B.
Ferro, Christopher A.T.
spellingShingle Economou, Theodoros
Stephenson, David B.
Ferro, Christopher A.T.
Spatio-temporal modelling of extreme storms
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 Institute of Mathematical Statistics
publishDate 2014
url http://hdl.handle.net/10871/17349
https://doi.org/10.1214/14-AOAS766
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation http://dx.doi.org/10.1214/14-AOAS766
http://projecteuclid.org/euclid.aoas/1419001741
Vol. 8 (4), pp. 2223 - 2246
doi:10.1214/14-AOAS766
http://hdl.handle.net/10871/17349
1932-6157
1941-7330
Annals of Applied Statistics
op_doi https://doi.org/10.1214/14-AOAS766
container_title The Annals of Applied Statistics
container_volume 8
container_issue 4
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