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...
Published in: | E3S Web of Conferences |
---|---|
Main Authors: | , , |
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 |
id |
ftdoajarticles:oai:doaj.org/article:33e0988dab614ef384f6b90204074208 |
---|---|
record_format |
openpolar |
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 |
container_start_page |
01012 |
_version_ |
1792043813210947584 |