On the Non-Stationary Relationship between the Siberian High and Arctic Oscillation
An area-weighted k-means clustering method based on pattern correlations is proposed and used to explore the relationship between the Siberian High (SH) and Arctic Oscillation (AO) during the winter months (December-January-February) of 1948–2014. Five regimes are identified. Four of these five regi...
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ftpubmed:oai:pubmedcentral.nih.gov:4928963 2023-05-15T14:54:12+02:00 On the Non-Stationary Relationship between the Siberian High and Arctic Oscillation Huang, Wenyu Wang, Bin Wright, Jonathon S. Chen, Ruyan 2016-06-30 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928963/ http://www.ncbi.nlm.nih.gov/pubmed/27362556 https://doi.org/10.1371/journal.pone.0158122 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928963/ http://www.ncbi.nlm.nih.gov/pubmed/27362556 http://dx.doi.org/10.1371/journal.pone.0158122 © 2016 Huang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY Research Article Text 2016 ftpubmed https://doi.org/10.1371/journal.pone.0158122 2016-07-24T00:07:09Z An area-weighted k-means clustering method based on pattern correlations is proposed and used to explore the relationship between the Siberian High (SH) and Arctic Oscillation (AO) during the winter months (December-January-February) of 1948–2014. Five regimes are identified. Four of these five regimes (comprising 171 of 201 months) show a negative correlation between the SH and AO indices, while the last regime (30 months) shows a positive correlation. The location of the SH shifts southward into China under two of the four negative-correlation regimes (117 months), with pressure variations over the center of activity for the SH opposite to pressure variations over the climatological center of the SH (which is used to define the SH index). Adjusting the SH index to account for these spatial shifts suggests positive rather than negative correlations between major variations in the SH and AO under these regimes. Under one of the two remaining negative-correlation regimes, pressure anomalies are weak over the Arctic Ocean. In total, only one regime comprising 21 of 201 months strictly obeys the negative correlation between the SH and AO reported by previous studies. The climate regime characterized by an intensified SH is associated with a greater frequency of cold surges over northern and southeastern China, and the weakening of the East Asian winter monsoon during the 1980s was accompanied by a sharp reduction in the occurrence of this regime. Text Arctic Arctic Ocean PubMed Central (PMC) Arctic Arctic Ocean PLOS ONE 11 6 e0158122 |
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Research Article Huang, Wenyu Wang, Bin Wright, Jonathon S. Chen, Ruyan On the Non-Stationary Relationship between the Siberian High and Arctic Oscillation |
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Research Article |
description |
An area-weighted k-means clustering method based on pattern correlations is proposed and used to explore the relationship between the Siberian High (SH) and Arctic Oscillation (AO) during the winter months (December-January-February) of 1948–2014. Five regimes are identified. Four of these five regimes (comprising 171 of 201 months) show a negative correlation between the SH and AO indices, while the last regime (30 months) shows a positive correlation. The location of the SH shifts southward into China under two of the four negative-correlation regimes (117 months), with pressure variations over the center of activity for the SH opposite to pressure variations over the climatological center of the SH (which is used to define the SH index). Adjusting the SH index to account for these spatial shifts suggests positive rather than negative correlations between major variations in the SH and AO under these regimes. Under one of the two remaining negative-correlation regimes, pressure anomalies are weak over the Arctic Ocean. In total, only one regime comprising 21 of 201 months strictly obeys the negative correlation between the SH and AO reported by previous studies. The climate regime characterized by an intensified SH is associated with a greater frequency of cold surges over northern and southeastern China, and the weakening of the East Asian winter monsoon during the 1980s was accompanied by a sharp reduction in the occurrence of this regime. |
format |
Text |
author |
Huang, Wenyu Wang, Bin Wright, Jonathon S. Chen, Ruyan |
author_facet |
Huang, Wenyu Wang, Bin Wright, Jonathon S. Chen, Ruyan |
author_sort |
Huang, Wenyu |
title |
On the Non-Stationary Relationship between the Siberian High and Arctic Oscillation |
title_short |
On the Non-Stationary Relationship between the Siberian High and Arctic Oscillation |
title_full |
On the Non-Stationary Relationship between the Siberian High and Arctic Oscillation |
title_fullStr |
On the Non-Stationary Relationship between the Siberian High and Arctic Oscillation |
title_full_unstemmed |
On the Non-Stationary Relationship between the Siberian High and Arctic Oscillation |
title_sort |
on the non-stationary relationship between the siberian high and arctic oscillation |
publisher |
Public Library of Science |
publishDate |
2016 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928963/ http://www.ncbi.nlm.nih.gov/pubmed/27362556 https://doi.org/10.1371/journal.pone.0158122 |
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Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928963/ http://www.ncbi.nlm.nih.gov/pubmed/27362556 http://dx.doi.org/10.1371/journal.pone.0158122 |
op_rights |
© 2016 Huang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
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CC-BY |
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https://doi.org/10.1371/journal.pone.0158122 |
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PLOS ONE |
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