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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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 |
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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 |
_version_ |
1800748964019961856 |