Long-term trends in large-scale circulation behaviour and wind storms for North Atlantic islands: a multi-data analysis using ERA-20C and meteorological station data

Abstract This research examines the role that large-scale circulation plays in local storminess for the North Atlantic islands of Orkney and Shetland, using the ERA-20C (1900–2009) reanalysis dataset. Automatic Lamb weather type classification is applied to daily mean sea level pressure (MSLP) data...

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Main Author: Aideen M. Foley
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://link.springer.com/10.1007/s10584-019-02467-w
id ftrepec:oai:RePEc:spr:climat:v:155:y:2019:i:3:d:10.1007_s10584-019-02467-w
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spelling ftrepec:oai:RePEc:spr:climat:v:155:y:2019:i:3:d:10.1007_s10584-019-02467-w 2023-05-15T17:29:29+02:00 Long-term trends in large-scale circulation behaviour and wind storms for North Atlantic islands: a multi-data analysis using ERA-20C and meteorological station data Aideen M. Foley http://link.springer.com/10.1007/s10584-019-02467-w unknown http://link.springer.com/10.1007/s10584-019-02467-w article ftrepec 2020-12-04T13:30:46Z Abstract This research examines the role that large-scale circulation plays in local storminess for the North Atlantic islands of Orkney and Shetland, using the ERA-20C (1900–2009) reanalysis dataset. Automatic Lamb weather type classification is applied to daily mean sea level pressure (MSLP) data at 0.125° × 0.125° resolution to typify large-scale circulation patterns and calculate measures of storminess (frequencies of severe gale days, very severe gale days, and gale days that are not severe), calibrated using available observations from meteorological stations on the islands, which were made available by the UK Met Office. Analysis of the reanalysis-based gale day record indicates that while the frequency of cyclonic (C) weather type days does not vary over the study period, this weather type is coinciding more often with gale days and especially very severe gale days, which may indicate an increase in the intensity of cyclonic weather types in the region. Article in Journal/Newspaper North Atlantic RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Abstract This research examines the role that large-scale circulation plays in local storminess for the North Atlantic islands of Orkney and Shetland, using the ERA-20C (1900–2009) reanalysis dataset. Automatic Lamb weather type classification is applied to daily mean sea level pressure (MSLP) data at 0.125° × 0.125° resolution to typify large-scale circulation patterns and calculate measures of storminess (frequencies of severe gale days, very severe gale days, and gale days that are not severe), calibrated using available observations from meteorological stations on the islands, which were made available by the UK Met Office. Analysis of the reanalysis-based gale day record indicates that while the frequency of cyclonic (C) weather type days does not vary over the study period, this weather type is coinciding more often with gale days and especially very severe gale days, which may indicate an increase in the intensity of cyclonic weather types in the region.
format Article in Journal/Newspaper
author Aideen M. Foley
spellingShingle Aideen M. Foley
Long-term trends in large-scale circulation behaviour and wind storms for North Atlantic islands: a multi-data analysis using ERA-20C and meteorological station data
author_facet Aideen M. Foley
author_sort Aideen M. Foley
title Long-term trends in large-scale circulation behaviour and wind storms for North Atlantic islands: a multi-data analysis using ERA-20C and meteorological station data
title_short Long-term trends in large-scale circulation behaviour and wind storms for North Atlantic islands: a multi-data analysis using ERA-20C and meteorological station data
title_full Long-term trends in large-scale circulation behaviour and wind storms for North Atlantic islands: a multi-data analysis using ERA-20C and meteorological station data
title_fullStr Long-term trends in large-scale circulation behaviour and wind storms for North Atlantic islands: a multi-data analysis using ERA-20C and meteorological station data
title_full_unstemmed Long-term trends in large-scale circulation behaviour and wind storms for North Atlantic islands: a multi-data analysis using ERA-20C and meteorological station data
title_sort long-term trends in large-scale circulation behaviour and wind storms for north atlantic islands: a multi-data analysis using era-20c and meteorological station data
url http://link.springer.com/10.1007/s10584-019-02467-w
genre North Atlantic
genre_facet North Atlantic
op_relation http://link.springer.com/10.1007/s10584-019-02467-w
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