Analysis of Sea Ice Area Variation in the Arctic Ocean

Against the backdrop of global warming, the changing area of Arctic sea ice is constantly shrinking, and the fluctuation of the Arctic sea ice area is the outcome of multiple factors. This paper mainly studies the volatility, periodicity, trend and related climate factors of Arctic sea ice area vari...

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Published in:E3S Web of Conferences
Main Authors: Yi Rong, Jin Minchen, Bian Wenfeng
Format: Article in Journal/Newspaper
Language:English
French
Published: EDP Sciences 2023
Subjects:
Online Access:https://doi.org/10.1051/e3sconf/202344101012
https://doaj.org/article/33e0988dab614ef384f6b90204074208
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spelling ftdoajarticles:oai:doaj.org/article:33e0988dab614ef384f6b90204074208 2024-02-27T08:36:52+00:00 Analysis of Sea Ice Area Variation in the Arctic Ocean Yi Rong Jin Minchen Bian Wenfeng 2023-01-01T00:00:00Z https://doi.org/10.1051/e3sconf/202344101012 https://doaj.org/article/33e0988dab614ef384f6b90204074208 EN FR eng fre EDP Sciences https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/78/e3sconf_celct2023_01012.pdf https://doaj.org/toc/2267-1242 2267-1242 doi:10.1051/e3sconf/202344101012 https://doaj.org/article/33e0988dab614ef384f6b90204074208 E3S Web of Conferences, Vol 441, p 01012 (2023) Environmental sciences GE1-350 article 2023 ftdoajarticles https://doi.org/10.1051/e3sconf/202344101012 2024-01-28T01:51:31Z Against the backdrop of global warming, the changing area of Arctic sea ice is constantly shrinking, and the fluctuation of the Arctic sea ice area is the outcome of multiple factors. This paper mainly studies the volatility, periodicity, trend and related climate factors of Arctic sea ice area variation. It is found that the period of Arctic sea ice area variation T is equal to 3.468 years by establishing a sea ice area change model, and there is a strong negative correlation between the time series of the deseasonalized temperature and the sea ice area through the correlation analysis, with a Pearson coefficient of -0.711. In addition, the Bruun rule leads to the conclusion that for every 1cm increase in sea level, the coastline will retreat by 0.5- 1m, which indirectly indicates that without considering other conditions, the continental area will decrease as the sea ice area decreases. Finally, the conclusion obtained is that the CO2 level has the highest correlation degree by establishing a grey correlation degree model for each factor. Based on this, various measures are proposed to find solutions to the relevant factors and change existing policies to minimize the harm of the warming climate. Article in Journal/Newspaper Arctic Arctic Ocean Global warming Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean E3S Web of Conferences 441 01012
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
French
topic Environmental sciences
GE1-350
spellingShingle Environmental sciences
GE1-350
Yi Rong
Jin Minchen
Bian Wenfeng
Analysis of Sea Ice Area Variation in the Arctic Ocean
topic_facet Environmental sciences
GE1-350
description Against the backdrop of global warming, the changing area of Arctic sea ice is constantly shrinking, and the fluctuation of the Arctic sea ice area is the outcome of multiple factors. This paper mainly studies the volatility, periodicity, trend and related climate factors of Arctic sea ice area variation. It is found that the period of Arctic sea ice area variation T is equal to 3.468 years by establishing a sea ice area change model, and there is a strong negative correlation between the time series of the deseasonalized temperature and the sea ice area through the correlation analysis, with a Pearson coefficient of -0.711. In addition, the Bruun rule leads to the conclusion that for every 1cm increase in sea level, the coastline will retreat by 0.5- 1m, which indirectly indicates that without considering other conditions, the continental area will decrease as the sea ice area decreases. Finally, the conclusion obtained is that the CO2 level has the highest correlation degree by establishing a grey correlation degree model for each factor. Based on this, various measures are proposed to find solutions to the relevant factors and change existing policies to minimize the harm of the warming climate.
format Article in Journal/Newspaper
author Yi Rong
Jin Minchen
Bian Wenfeng
author_facet Yi Rong
Jin Minchen
Bian Wenfeng
author_sort Yi Rong
title Analysis of Sea Ice Area Variation in the Arctic Ocean
title_short Analysis of Sea Ice Area Variation in the Arctic Ocean
title_full Analysis of Sea Ice Area Variation in the Arctic Ocean
title_fullStr Analysis of Sea Ice Area Variation in the Arctic Ocean
title_full_unstemmed Analysis of Sea Ice Area Variation in the Arctic Ocean
title_sort analysis of sea ice area variation in the arctic ocean
publisher EDP Sciences
publishDate 2023
url https://doi.org/10.1051/e3sconf/202344101012
https://doaj.org/article/33e0988dab614ef384f6b90204074208
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Global warming
Sea ice
genre_facet Arctic
Arctic Ocean
Global warming
Sea ice
op_source E3S Web of Conferences, Vol 441, p 01012 (2023)
op_relation https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/78/e3sconf_celct2023_01012.pdf
https://doaj.org/toc/2267-1242
2267-1242
doi:10.1051/e3sconf/202344101012
https://doaj.org/article/33e0988dab614ef384f6b90204074208
op_doi https://doi.org/10.1051/e3sconf/202344101012
container_title E3S Web of Conferences
container_volume 441
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