Spatial-temporal variability of ice cover of the Bering sea

Abstract In this paper, we study the spatial and temporal variability of the Bering sea ice cover. The Bering sea is a major transportation importance as a link in the Northern sea route in turn every activity at sea, meeting the challenges of hydro-meteorological research and predictions in this re...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Authors: Martyn, I, Petrov, Y, Stepanov, S, Sidorenko, A
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2020
Subjects:
Online Access:http://dx.doi.org/10.1088/1755-1315/539/1/012198
https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012198/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012198
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spelling crioppubl:10.1088/1755-1315/539/1/012198 2024-06-02T08:04:20+00:00 Spatial-temporal variability of ice cover of the Bering sea Martyn, I Petrov, Y Stepanov, S Sidorenko, A 2020 http://dx.doi.org/10.1088/1755-1315/539/1/012198 https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012198/pdf https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012198 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 539, issue 1, page 012198 ISSN 1755-1307 1755-1315 journal-article 2020 crioppubl https://doi.org/10.1088/1755-1315/539/1/012198 2024-05-07T13:58:05Z Abstract In this paper, we study the spatial and temporal variability of the Bering sea ice cover. The Bering sea is a major transportation importance as a link in the Northern sea route in turn every activity at sea, meeting the challenges of hydro-meteorological research and predictions in this region largely depend on the knowledge about ice conditions. Observing changes in the ice environment can also serve to assess climate change. For the study, the methods of mathematical statistics applied to data on the amount of ice as a percentage for the Bering sea area in the 1x1 degree grid for the period November 1981goda-April 2014. In the course of the work, the trend component of the time variability of sea ice was identified, spectral and harmonic analysis was performed, and autocorrelation analysis was performed. As a result, for long-term variability, the existence of a trend in the development of ice conditions was revealed, and the presence of a linear trend is unlikely. Analysis of local trends showed a decrease in ice cover in the period 1992-2003, after 2003 there was a large positive trend. Spectral analysis 4 peaks of the spectrum for each were calculated characteristics of harmonics. The sum of harmonics gives a good result when combined with the original data. Long-term variability is low-inertia. when performing an auto forecast for average annual values with a 10-year lead time, it was noted that the prognostic model does not give good results. Article in Journal/Newspaper Bering Sea Northern Sea Route Sea ice IOP Publishing Bering Sea IOP Conference Series: Earth and Environmental Science 539 012198
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract In this paper, we study the spatial and temporal variability of the Bering sea ice cover. The Bering sea is a major transportation importance as a link in the Northern sea route in turn every activity at sea, meeting the challenges of hydro-meteorological research and predictions in this region largely depend on the knowledge about ice conditions. Observing changes in the ice environment can also serve to assess climate change. For the study, the methods of mathematical statistics applied to data on the amount of ice as a percentage for the Bering sea area in the 1x1 degree grid for the period November 1981goda-April 2014. In the course of the work, the trend component of the time variability of sea ice was identified, spectral and harmonic analysis was performed, and autocorrelation analysis was performed. As a result, for long-term variability, the existence of a trend in the development of ice conditions was revealed, and the presence of a linear trend is unlikely. Analysis of local trends showed a decrease in ice cover in the period 1992-2003, after 2003 there was a large positive trend. Spectral analysis 4 peaks of the spectrum for each were calculated characteristics of harmonics. The sum of harmonics gives a good result when combined with the original data. Long-term variability is low-inertia. when performing an auto forecast for average annual values with a 10-year lead time, it was noted that the prognostic model does not give good results.
format Article in Journal/Newspaper
author Martyn, I
Petrov, Y
Stepanov, S
Sidorenko, A
spellingShingle Martyn, I
Petrov, Y
Stepanov, S
Sidorenko, A
Spatial-temporal variability of ice cover of the Bering sea
author_facet Martyn, I
Petrov, Y
Stepanov, S
Sidorenko, A
author_sort Martyn, I
title Spatial-temporal variability of ice cover of the Bering sea
title_short Spatial-temporal variability of ice cover of the Bering sea
title_full Spatial-temporal variability of ice cover of the Bering sea
title_fullStr Spatial-temporal variability of ice cover of the Bering sea
title_full_unstemmed Spatial-temporal variability of ice cover of the Bering sea
title_sort spatial-temporal variability of ice cover of the bering sea
publisher IOP Publishing
publishDate 2020
url http://dx.doi.org/10.1088/1755-1315/539/1/012198
https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012198/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012198
geographic Bering Sea
geographic_facet Bering Sea
genre Bering Sea
Northern Sea Route
Sea ice
genre_facet Bering Sea
Northern Sea Route
Sea ice
op_source IOP Conference Series: Earth and Environmental Science
volume 539, issue 1, page 012198
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/10.1088/1755-1315/539/1/012198
container_title IOP Conference Series: Earth and Environmental Science
container_volume 539
container_start_page 012198
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