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...
Published in: | IOP Conference Series: Earth and Environmental Science |
---|---|
Main Authors: | , , |
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 |
id |
crioppubl:10.1088/1755-1315/611/1/012042 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1810433798280577024 |