Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition
Sea ice cover in the Arctic and Antarctic is an important indicator of changes in the climate, with important environmental, economic and security consequences. The complexity of the spatio-temporal dynamics of sea ice makes it difficult to assess the temporal nature of the changes—e.g. linear or ex...
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ftpubmed:oai:pubmedcentral.nih.gov:7530978 2023-05-15T14:02:07+02:00 Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition Hogg, James Fonoberova, Maria Mezić, Igor 2020-10-01 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530978/ http://www.ncbi.nlm.nih.gov/pubmed/33004885 https://doi.org/10.1038/s41598-020-73211-z en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530978/ http://www.ncbi.nlm.nih.gov/pubmed/33004885 http://dx.doi.org/10.1038/s41598-020-73211-z © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. CC-BY Sci Rep Article Text 2020 ftpubmed https://doi.org/10.1038/s41598-020-73211-z 2020-10-11T00:27:06Z Sea ice cover in the Arctic and Antarctic is an important indicator of changes in the climate, with important environmental, economic and security consequences. The complexity of the spatio-temporal dynamics of sea ice makes it difficult to assess the temporal nature of the changes—e.g. linear or exponential—and their precise geographical loci. In this study, Koopman Mode Decomposition (KMD) is applied to satellite data of sea ice concentration for the Northern and Southern hemispheres to gain insight into the temporal and spatial dynamics of the sea ice behavior and to predict future sea ice behavior. We observe spatial modes corresponding to the mean and annual variation of Arctic and Antarctic sea ice concentration and observe decreases in the mean sea ice concentration from early to later periods, as well as corresponding shifts in the locations that undergo significant annual variation in sea ice concentration. We discover exponentially decaying spatial modes in both hemispheres and discuss their precise spatial extent, and also perform predictions of future sea ice concentration. The Koopman operator-based, data-driven decomposition technique gives insight into spatial and temporal dynamics of sea ice concentration not apparent in traditional approaches. Text Antarc* Antarctic Arctic Sea ice PubMed Central (PMC) Antarctic Arctic Scientific Reports 10 1 |
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Article Hogg, James Fonoberova, Maria Mezić, Igor Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition |
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Article |
description |
Sea ice cover in the Arctic and Antarctic is an important indicator of changes in the climate, with important environmental, economic and security consequences. The complexity of the spatio-temporal dynamics of sea ice makes it difficult to assess the temporal nature of the changes—e.g. linear or exponential—and their precise geographical loci. In this study, Koopman Mode Decomposition (KMD) is applied to satellite data of sea ice concentration for the Northern and Southern hemispheres to gain insight into the temporal and spatial dynamics of the sea ice behavior and to predict future sea ice behavior. We observe spatial modes corresponding to the mean and annual variation of Arctic and Antarctic sea ice concentration and observe decreases in the mean sea ice concentration from early to later periods, as well as corresponding shifts in the locations that undergo significant annual variation in sea ice concentration. We discover exponentially decaying spatial modes in both hemispheres and discuss their precise spatial extent, and also perform predictions of future sea ice concentration. The Koopman operator-based, data-driven decomposition technique gives insight into spatial and temporal dynamics of sea ice concentration not apparent in traditional approaches. |
format |
Text |
author |
Hogg, James Fonoberova, Maria Mezić, Igor |
author_facet |
Hogg, James Fonoberova, Maria Mezić, Igor |
author_sort |
Hogg, James |
title |
Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition |
title_short |
Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition |
title_full |
Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition |
title_fullStr |
Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition |
title_full_unstemmed |
Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition |
title_sort |
exponentially decaying modes and long-term prediction of sea ice concentration using koopman mode decomposition |
publisher |
Nature Publishing Group UK |
publishDate |
2020 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530978/ http://www.ncbi.nlm.nih.gov/pubmed/33004885 https://doi.org/10.1038/s41598-020-73211-z |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_source |
Sci Rep |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530978/ http://www.ncbi.nlm.nih.gov/pubmed/33004885 http://dx.doi.org/10.1038/s41598-020-73211-z |
op_rights |
© The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
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CC-BY |
op_doi |
https://doi.org/10.1038/s41598-020-73211-z |
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Scientific Reports |
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10 |
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