An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea

Abstract This study addresses a possibility to use surface air temperature (SAT) of the Northern Hemisphere as a potential predictor for winter sea ice concentration (SIC) in the Barents Sea. The areas of most significant correlation between the leading modes of joint variability of the observed SIC...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Authors: Cherenkova, E A, Semenov, V A, Titkova, T B
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2020
Subjects:
Online Access:http://dx.doi.org/10.1088/1755-1315/611/1/012042
https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012042/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012042
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spelling crioppubl:10.1088/1755-1315/611/1/012042 2024-09-15T17:57:39+00:00 An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea Cherenkova, E A Semenov, V A Titkova, T B 2020 http://dx.doi.org/10.1088/1755-1315/611/1/012042 https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012042/pdf https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012042 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 611, issue 1, page 012042 ISSN 1755-1307 1755-1315 journal-article 2020 crioppubl https://doi.org/10.1088/1755-1315/611/1/012042 2024-08-26T04:19:10Z Abstract This study addresses a possibility to use surface air temperature (SAT) of the Northern Hemisphere as a potential predictor for winter sea ice concentration (SIC) in the Barents Sea. The areas of most significant correlation between the leading modes of joint variability of the observed SIC in January-March and the SAT in the autumn, winter, and spring months in the 1979-2019 period are determined using a method of singular value decomposition (SVD) of covariance matrices. An analysis of the structure of this linkage has shown its robustness for SIC in the Barents Sea. The most strongly related areas are found in the first leading mode of the SVD analysis of the SIC in January-March and the SAT in November-January. The first SVD-mode explains in total 55% of covariation of both parameters. It has been revealed that the January-March SIC in the northern part of the Barents Sea is strongly correlated with the November-January SAT in Scandinavia and over the Barents Sea (the correlation coefficient is -0.8). The relationship between the SIC and SAT in key areas has allowed obtaining estimates of SIC in the northern part of the Barents Sea in the 21 st century from an ensemble of 30 CMIP5 GCMs by using models’ SAT data. It has been found that the RCP 4.5 scenario results in a strong reduction in the sea ice in the northern part of the Barents Sea by 2041-2050. At the same time, no complete disappearance of sea ice is expected until the end of the century. According to the aggressive scenario RCP 8.5, almost free-ice Barents Sea is expected by the middle of the 21 st century. Article in Journal/Newspaper Barents Sea Sea ice IOP Publishing IOP Conference Series: Earth and Environmental Science 611 012042
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract This study addresses a possibility to use surface air temperature (SAT) of the Northern Hemisphere as a potential predictor for winter sea ice concentration (SIC) in the Barents Sea. The areas of most significant correlation between the leading modes of joint variability of the observed SIC in January-March and the SAT in the autumn, winter, and spring months in the 1979-2019 period are determined using a method of singular value decomposition (SVD) of covariance matrices. An analysis of the structure of this linkage has shown its robustness for SIC in the Barents Sea. The most strongly related areas are found in the first leading mode of the SVD analysis of the SIC in January-March and the SAT in November-January. The first SVD-mode explains in total 55% of covariation of both parameters. It has been revealed that the January-March SIC in the northern part of the Barents Sea is strongly correlated with the November-January SAT in Scandinavia and over the Barents Sea (the correlation coefficient is -0.8). The relationship between the SIC and SAT in key areas has allowed obtaining estimates of SIC in the northern part of the Barents Sea in the 21 st century from an ensemble of 30 CMIP5 GCMs by using models’ SAT data. It has been found that the RCP 4.5 scenario results in a strong reduction in the sea ice in the northern part of the Barents Sea by 2041-2050. At the same time, no complete disappearance of sea ice is expected until the end of the century. According to the aggressive scenario RCP 8.5, almost free-ice Barents Sea is expected by the middle of the 21 st century.
format Article in Journal/Newspaper
author Cherenkova, E A
Semenov, V A
Titkova, T B
spellingShingle Cherenkova, E A
Semenov, V A
Titkova, T B
An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea
author_facet Cherenkova, E A
Semenov, V A
Titkova, T B
author_sort Cherenkova, E A
title An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea
title_short An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea
title_full An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea
title_fullStr An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea
title_full_unstemmed An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea
title_sort empirical method for the prediction of extreme low winter sea ice extent in the barents sea
publisher IOP Publishing
publishDate 2020
url http://dx.doi.org/10.1088/1755-1315/611/1/012042
https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012042/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012042
genre Barents Sea
Sea ice
genre_facet Barents Sea
Sea ice
op_source IOP Conference Series: Earth and Environmental Science
volume 611, issue 1, page 012042
ISSN 1755-1307 1755-1315
op_rights http://creativecommons.org/licenses/by/3.0/
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1755-1315/611/1/012042
container_title IOP Conference Series: Earth and Environmental Science
container_volume 611
container_start_page 012042
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