Regime Shifts in Arctic Oscillation (AO) Variability 1951–2009

Abstract Arctic Oscillation (AO) reflects the dominating mode of SLP (or 1000hPa) variability in hemispheric scale and seems to bear an effect on the weather and, in longer time scales, on climate. The aim of the research was to identify the possible regime shifts in the multiannual course of AO ind...

Full description

Bibliographic Details
Published in:Bulletin of Geography. Physical Geography Series
Main Author: Marosz, Michał
Format: Article in Journal/Newspaper
Language:English
Published: Walter de Gruyter GmbH 2010
Subjects:
Online Access:http://dx.doi.org/10.2478/bgeo-2010-0006
http://content.sciendo.com/view/journals/bgeo/3/1/article-p103.xml
https://www.sciendo.com/pdf/10.2478/bgeo-2010-0006
id crdegruyter:10.2478/bgeo-2010-0006
record_format openpolar
spelling crdegruyter:10.2478/bgeo-2010-0006 2023-05-15T14:57:59+02:00 Regime Shifts in Arctic Oscillation (AO) Variability 1951–2009 Marosz, Michał 2010 http://dx.doi.org/10.2478/bgeo-2010-0006 http://content.sciendo.com/view/journals/bgeo/3/1/article-p103.xml https://www.sciendo.com/pdf/10.2478/bgeo-2010-0006 en eng Walter de Gruyter GmbH http://creativecommons.org/licenses/by-nc-nd/4.0 CC-BY-NC-ND Bulletin of Geography. Physical Geography Series volume 3, issue 1, page 103-119 ISSN 2300-8490 Geophysics Geography, Planning and Development journal-article 2010 crdegruyter https://doi.org/10.2478/bgeo-2010-0006 2022-04-14T05:11:07Z Abstract Arctic Oscillation (AO) reflects the dominating mode of SLP (or 1000hPa) variability in hemispheric scale and seems to bear an effect on the weather and, in longer time scales, on climate. The aim of the research was to identify the possible regime shifts in the multiannual course of AO index which in turn might be utilised in the identification and quantification of the regional/local meteorological field response. The data (AO monthly and daily index values) were acquired from the NOAA Climate Prediction Centre. The AO index is constructed by projecting monthly/daily anomalies of 1000hPa heights poleward of 20°N onto the loading pattern of the AO - 1 st (leading) EOF of the 1000hPa height field for the same spatial domain. The temporal scope of analysis was 1951-2009. The analysis comprised the regime shift identification techniques that track the shifts in the mean values and in the magnitude of fluctuations as well as the usage of the classical linear trend identification in the annual and seasonal scale. The regime shift recognition was followed by the compositing method that allowed the analysis of spatial anomalies in SLP field in Euro-Atlantic region that reflect the response of the regional airflow to identified circulation regimes. Article in Journal/Newspaper Arctic De Gruyter (via Crossref) Arctic Bulletin of Geography. Physical Geography Series 3 1 103 119
institution Open Polar
collection De Gruyter (via Crossref)
op_collection_id crdegruyter
language English
topic Geophysics
Geography, Planning and Development
spellingShingle Geophysics
Geography, Planning and Development
Marosz, Michał
Regime Shifts in Arctic Oscillation (AO) Variability 1951–2009
topic_facet Geophysics
Geography, Planning and Development
description Abstract Arctic Oscillation (AO) reflects the dominating mode of SLP (or 1000hPa) variability in hemispheric scale and seems to bear an effect on the weather and, in longer time scales, on climate. The aim of the research was to identify the possible regime shifts in the multiannual course of AO index which in turn might be utilised in the identification and quantification of the regional/local meteorological field response. The data (AO monthly and daily index values) were acquired from the NOAA Climate Prediction Centre. The AO index is constructed by projecting monthly/daily anomalies of 1000hPa heights poleward of 20°N onto the loading pattern of the AO - 1 st (leading) EOF of the 1000hPa height field for the same spatial domain. The temporal scope of analysis was 1951-2009. The analysis comprised the regime shift identification techniques that track the shifts in the mean values and in the magnitude of fluctuations as well as the usage of the classical linear trend identification in the annual and seasonal scale. The regime shift recognition was followed by the compositing method that allowed the analysis of spatial anomalies in SLP field in Euro-Atlantic region that reflect the response of the regional airflow to identified circulation regimes.
format Article in Journal/Newspaper
author Marosz, Michał
author_facet Marosz, Michał
author_sort Marosz, Michał
title Regime Shifts in Arctic Oscillation (AO) Variability 1951–2009
title_short Regime Shifts in Arctic Oscillation (AO) Variability 1951–2009
title_full Regime Shifts in Arctic Oscillation (AO) Variability 1951–2009
title_fullStr Regime Shifts in Arctic Oscillation (AO) Variability 1951–2009
title_full_unstemmed Regime Shifts in Arctic Oscillation (AO) Variability 1951–2009
title_sort regime shifts in arctic oscillation (ao) variability 1951–2009
publisher Walter de Gruyter GmbH
publishDate 2010
url http://dx.doi.org/10.2478/bgeo-2010-0006
http://content.sciendo.com/view/journals/bgeo/3/1/article-p103.xml
https://www.sciendo.com/pdf/10.2478/bgeo-2010-0006
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Bulletin of Geography. Physical Geography Series
volume 3, issue 1, page 103-119
ISSN 2300-8490
op_rights http://creativecommons.org/licenses/by-nc-nd/4.0
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.2478/bgeo-2010-0006
container_title Bulletin of Geography. Physical Geography Series
container_volume 3
container_issue 1
container_start_page 103
op_container_end_page 119
_version_ 1766330078456709120