Decadal transformations of antarctic sea ice modes
In light of ongoing global warming and the accelerated melting of Antarctic sea ice, this study aims to analyze the recent changes in the principal modes of Antarctic sea ice over the past decade, utilizing Empirical Orthogonal Function (EOF) and Singular Value Decomposition (SVD) techniques. The re...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1506715/full |
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| author | Benli Guo Benli Guo Benli Guo Peng Yang Peng Yang Peng Yang Jie Yuan Jie Yuan Jie Yuan Honglian Xing Honglian Xing Honglian Xing Wenjie Yuan Wenjie Yuan Wenjie Yuan Yuanku Meng Yuanku Meng Yuanku Meng |
| author_facet | Benli Guo Benli Guo Benli Guo Peng Yang Peng Yang Peng Yang Jie Yuan Jie Yuan Jie Yuan Honglian Xing Honglian Xing Honglian Xing Wenjie Yuan Wenjie Yuan Wenjie Yuan Yuanku Meng Yuanku Meng Yuanku Meng |
| author_sort | Benli Guo |
| collection | DOAJ |
| description | In light of ongoing global warming and the accelerated melting of Antarctic sea ice, this study aims to analyze the recent changes in the principal modes of Antarctic sea ice over the past decade, utilizing Empirical Orthogonal Function (EOF) and Singular Value Decomposition (SVD) techniques. The results indicate that Antarctic sea ice has shifted from a growth trend of 1.7% per year in the previous decade to a melting trend in almost all regions, except the Amundsen Sea. The decline is particularly pronounced during autumn and winter, with rates of -7.1% and -6.5% per year, respectively. The Weddell Sea and West Pacific exhibit the fastest declines at -6.1% and -5.8% per year, leading to an overall average melting trend of -4.6% per year. Furthermore, the dominant mode of Antarctic sea ice has shifted from the Antarctic Dipole (ADP) pattern in the previous decade to a melting trend in the most recent period. This transition is closely linked to the increase in sea surface temperatures (SST) and surface air temperatures (SAT) in the Southern Ocean, which contribute to the pronounced ice melt observed in recent years. This research enhances our understanding of Antarctic sea ice dynamics and provides valuable insights for future studies on sea ice variability and prediction. |
| format | Article |
| id | doaj-art-22f29013497041ac8d78be59f0260995 |
| institution | Kabale University |
| issn | 2296-7745 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj-art-22f29013497041ac8d78be59f02609952025-01-16T05:10:18ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452025-01-011110.3389/fmars.2024.15067151506715Decadal transformations of antarctic sea ice modesBenli Guo0Benli Guo1Benli Guo2Peng Yang3Peng Yang4Peng Yang5Jie Yuan6Jie Yuan7Jie Yuan8Honglian Xing9Honglian Xing10Honglian Xing11Wenjie Yuan12Wenjie Yuan13Wenjie Yuan14Yuanku Meng15Yuanku Meng16Yuanku Meng17No.8 Institute of Geology and Mineral Resources Exploration of Shandong Province, Key Laboratory of Nonferrous Metal Ore Exploration and Resource Evaluation of Shandong Provincial Bureau of Geology and Mineral Resources, Shandong, Rizhao, ChinaRizhao Big Data Research Institute of Geology and Geographic Information, Shandong, Rizhao, ChinaRizhao Key Laboratory of Land Quality Evaluation And Pollution Remediation, Rizhao, ChinaNo.8 Institute of Geology and Mineral Resources Exploration of Shandong Province, Key Laboratory of Nonferrous Metal Ore Exploration and Resource Evaluation of Shandong Provincial Bureau of Geology and Mineral Resources, Shandong, Rizhao, ChinaRizhao Big Data Research Institute of Geology and Geographic Information, Shandong, Rizhao, ChinaRizhao Key Laboratory of Land Quality Evaluation And Pollution Remediation, Rizhao, ChinaNo.8 Institute of Geology and Mineral Resources Exploration of Shandong Province, Key Laboratory of Nonferrous Metal Ore Exploration and Resource Evaluation of Shandong Provincial Bureau of Geology and Mineral Resources, Shandong, Rizhao, ChinaRizhao Big Data Research Institute of Geology and Geographic Information, Shandong, Rizhao, ChinaRizhao Key Laboratory of Land Quality Evaluation And Pollution Remediation, Rizhao, ChinaNo.8 Institute of Geology and Mineral Resources Exploration of Shandong Province, Key Laboratory of Nonferrous Metal Ore Exploration and Resource Evaluation of Shandong Provincial Bureau of Geology and Mineral Resources, Shandong, Rizhao, ChinaRizhao Big Data Research Institute of Geology and Geographic Information, Shandong, Rizhao, ChinaRizhao Key Laboratory of Land Quality Evaluation And Pollution Remediation, Rizhao, ChinaNo.8 Institute of Geology and Mineral Resources Exploration of Shandong Province, Key Laboratory of Nonferrous Metal Ore Exploration and Resource Evaluation of Shandong Provincial Bureau of Geology and Mineral Resources, Shandong, Rizhao, ChinaRizhao Big Data Research Institute of Geology and Geographic Information, Shandong, Rizhao, ChinaRizhao Key Laboratory of Land Quality Evaluation And Pollution Remediation, Rizhao, ChinaCollege of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaKey Laboratory of Gold Mineralization Processes and Resource Utilization of Ministry of Natural Resources of the People’s Republic of China, Jinan, ChinaShandong Provincial Key Laboratory of Metallogenic Geological Process and Resource Utilization, Jinan, ChinaIn light of ongoing global warming and the accelerated melting of Antarctic sea ice, this study aims to analyze the recent changes in the principal modes of Antarctic sea ice over the past decade, utilizing Empirical Orthogonal Function (EOF) and Singular Value Decomposition (SVD) techniques. The results indicate that Antarctic sea ice has shifted from a growth trend of 1.7% per year in the previous decade to a melting trend in almost all regions, except the Amundsen Sea. The decline is particularly pronounced during autumn and winter, with rates of -7.1% and -6.5% per year, respectively. The Weddell Sea and West Pacific exhibit the fastest declines at -6.1% and -5.8% per year, leading to an overall average melting trend of -4.6% per year. Furthermore, the dominant mode of Antarctic sea ice has shifted from the Antarctic Dipole (ADP) pattern in the previous decade to a melting trend in the most recent period. This transition is closely linked to the increase in sea surface temperatures (SST) and surface air temperatures (SAT) in the Southern Ocean, which contribute to the pronounced ice melt observed in recent years. This research enhances our understanding of Antarctic sea ice dynamics and provides valuable insights for future studies on sea ice variability and prediction.https://www.frontiersin.org/articles/10.3389/fmars.2024.1506715/fullAntarcticsea ice trendsea ice modesea ice variabilityEOF |
| spellingShingle | Benli Guo Benli Guo Benli Guo Peng Yang Peng Yang Peng Yang Jie Yuan Jie Yuan Jie Yuan Honglian Xing Honglian Xing Honglian Xing Wenjie Yuan Wenjie Yuan Wenjie Yuan Yuanku Meng Yuanku Meng Yuanku Meng Decadal transformations of antarctic sea ice modes Frontiers in Marine Science Antarctic sea ice trend sea ice mode sea ice variability EOF |
| title | Decadal transformations of antarctic sea ice modes |
| title_full | Decadal transformations of antarctic sea ice modes |
| title_fullStr | Decadal transformations of antarctic sea ice modes |
| title_full_unstemmed | Decadal transformations of antarctic sea ice modes |
| title_short | Decadal transformations of antarctic sea ice modes |
| title_sort | decadal transformations of antarctic sea ice modes |
| topic | Antarctic sea ice trend sea ice mode sea ice variability EOF |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1506715/full |
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