Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708
We examine the relationship between ice conditions in the Baltic Sea and the large-scale atmospheric circulation patterns that create them. Singular Spectrum Analysis (SSA) is used to extract long-term trends and quasi-regular oscillations from time series of winter air temperature, date of ice brea...
Published in: | Geophysical Research Letters |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2001
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Online Access: | https://research.ulapland.fi/fi/publications/6d2d5988-0a8e-4d1e-9c74-7256ccbd403f https://doi.org/10.1029/2001GL013573 |
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ftulaplandcdispu:oai:lacris.ulapland.fi:publications/6d2d5988-0a8e-4d1e-9c74-7256ccbd403f 2024-01-28T10:03:52+01:00 Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 Jevrejeva, Svetlana Moore, John C. 2001-12-01 https://research.ulapland.fi/fi/publications/6d2d5988-0a8e-4d1e-9c74-7256ccbd403f https://doi.org/10.1029/2001GL013573 eng eng https://research.ulapland.fi/fi/publications/6d2d5988-0a8e-4d1e-9c74-7256ccbd403f info:eu-repo/semantics/openAccess Jevrejeva , S & Moore , J C 2001 , ' Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 ' , Geophysical Research Letters , vol. 28 , no. 23 , pp. 4503-4506 . https://doi.org/10.1029/2001GL013573 /dk/atira/pure/person/fieldofscience2010/1/17/1 name=Geosciences article 2001 ftulaplandcdispu https://doi.org/10.1029/2001GL013573 2024-01-04T00:03:18Z We examine the relationship between ice conditions in the Baltic Sea and the large-scale atmospheric circulation patterns that create them. Singular Spectrum Analysis (SSA) is used to extract long-term trends and quasi-regular oscillations from time series of winter air temperature, date of ice break-up, maximum annual ice extent in the Baltic Sea (BMI) since 1708 and seasonal North Atlantic Oscillation (NAO) and Arctic Oscillation (AO) indices. The AO exhibits power at periods of 2.3 and 13.9 years as well as at 7.8 years, and in general the NAO can be viewed as a subset of the AO as regards the Baltic region. Time series of ice break-up date also reflects variations in winter AO power in the 13.9-year power band, but not in the NAO 7.8-year band. The BMI seems to act as a non-linear filter on the fairly weak climate oscillations, increasing the signal-tonoise ratio of the oscillations significantly. Article in Journal/Newspaper Arctic North Atlantic North Atlantic oscillation Sea ice LaCRIS - University of Lapland Current Research System Arctic Geophysical Research Letters 28 23 4503 4506 |
institution |
Open Polar |
collection |
LaCRIS - University of Lapland Current Research System |
op_collection_id |
ftulaplandcdispu |
language |
English |
topic |
/dk/atira/pure/person/fieldofscience2010/1/17/1 name=Geosciences |
spellingShingle |
/dk/atira/pure/person/fieldofscience2010/1/17/1 name=Geosciences Jevrejeva, Svetlana Moore, John C. Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 |
topic_facet |
/dk/atira/pure/person/fieldofscience2010/1/17/1 name=Geosciences |
description |
We examine the relationship between ice conditions in the Baltic Sea and the large-scale atmospheric circulation patterns that create them. Singular Spectrum Analysis (SSA) is used to extract long-term trends and quasi-regular oscillations from time series of winter air temperature, date of ice break-up, maximum annual ice extent in the Baltic Sea (BMI) since 1708 and seasonal North Atlantic Oscillation (NAO) and Arctic Oscillation (AO) indices. The AO exhibits power at periods of 2.3 and 13.9 years as well as at 7.8 years, and in general the NAO can be viewed as a subset of the AO as regards the Baltic region. Time series of ice break-up date also reflects variations in winter AO power in the 13.9-year power band, but not in the NAO 7.8-year band. The BMI seems to act as a non-linear filter on the fairly weak climate oscillations, increasing the signal-tonoise ratio of the oscillations significantly. |
format |
Article in Journal/Newspaper |
author |
Jevrejeva, Svetlana Moore, John C. |
author_facet |
Jevrejeva, Svetlana Moore, John C. |
author_sort |
Jevrejeva, Svetlana |
title |
Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 |
title_short |
Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 |
title_full |
Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 |
title_fullStr |
Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 |
title_full_unstemmed |
Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 |
title_sort |
singular spectrum analysis of baltic sea ice conditions and large-scale atmospheric patterns since 1708 |
publishDate |
2001 |
url |
https://research.ulapland.fi/fi/publications/6d2d5988-0a8e-4d1e-9c74-7256ccbd403f https://doi.org/10.1029/2001GL013573 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic North Atlantic North Atlantic oscillation Sea ice |
genre_facet |
Arctic North Atlantic North Atlantic oscillation Sea ice |
op_source |
Jevrejeva , S & Moore , J C 2001 , ' Singular spectrum analysis of Baltic Sea ice conditions and large-scale atmospheric patterns since 1708 ' , Geophysical Research Letters , vol. 28 , no. 23 , pp. 4503-4506 . https://doi.org/10.1029/2001GL013573 |
op_relation |
https://research.ulapland.fi/fi/publications/6d2d5988-0a8e-4d1e-9c74-7256ccbd403f |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1029/2001GL013573 |
container_title |
Geophysical Research Letters |
container_volume |
28 |
container_issue |
23 |
container_start_page |
4503 |
op_container_end_page |
4506 |
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1789329426302894080 |