Analysis of Arctic and Antarctic sea ice extent using quantile regression
Abstract A number of recent studies have examined trends in sea ice cover using ordinary least squares regression. In this study, quantile regression is applied to analyse other aspects of the distribution of sea ice extent. More specifically, trends in the mean, maximum, and minimum sea ice extent...
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crwiley:10.1002/joc.3491 2024-09-15T17:47:28+00:00 Analysis of Arctic and Antarctic sea ice extent using quantile regression Tareghian, Reza Rasmussen, Peter 2012 http://dx.doi.org/10.1002/joc.3491 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.3491 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.3491 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 33, issue 5, page 1079-1086 ISSN 0899-8418 1097-0088 journal-article 2012 crwiley https://doi.org/10.1002/joc.3491 2024-08-13T04:14:50Z Abstract A number of recent studies have examined trends in sea ice cover using ordinary least squares regression. In this study, quantile regression is applied to analyse other aspects of the distribution of sea ice extent. More specifically, trends in the mean, maximum, and minimum sea ice extent in the Arctic and Antarctic are investigated. While there is a significant decreasing trend in mean Arctic sea ice extent of − 4.5% per decade from 1979 through 2010, the Antarctic results show a small positive trend of 2.3% per decade. In some cases such as the Antarctic minimum ice cover, selected quantile regressions yield slope estimates that differ from trends in the mean. It was also found that the variability in Antarctic sea ice extent is higher than that in the Arctic. Copyright © 2012 Royal Meteorological Society Article in Journal/Newspaper Antarc* Antarctic Sea ice Wiley Online Library International Journal of Climatology 33 5 1079 1086 |
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Wiley Online Library |
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crwiley |
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English |
description |
Abstract A number of recent studies have examined trends in sea ice cover using ordinary least squares regression. In this study, quantile regression is applied to analyse other aspects of the distribution of sea ice extent. More specifically, trends in the mean, maximum, and minimum sea ice extent in the Arctic and Antarctic are investigated. While there is a significant decreasing trend in mean Arctic sea ice extent of − 4.5% per decade from 1979 through 2010, the Antarctic results show a small positive trend of 2.3% per decade. In some cases such as the Antarctic minimum ice cover, selected quantile regressions yield slope estimates that differ from trends in the mean. It was also found that the variability in Antarctic sea ice extent is higher than that in the Arctic. Copyright © 2012 Royal Meteorological Society |
format |
Article in Journal/Newspaper |
author |
Tareghian, Reza Rasmussen, Peter |
spellingShingle |
Tareghian, Reza Rasmussen, Peter Analysis of Arctic and Antarctic sea ice extent using quantile regression |
author_facet |
Tareghian, Reza Rasmussen, Peter |
author_sort |
Tareghian, Reza |
title |
Analysis of Arctic and Antarctic sea ice extent using quantile regression |
title_short |
Analysis of Arctic and Antarctic sea ice extent using quantile regression |
title_full |
Analysis of Arctic and Antarctic sea ice extent using quantile regression |
title_fullStr |
Analysis of Arctic and Antarctic sea ice extent using quantile regression |
title_full_unstemmed |
Analysis of Arctic and Antarctic sea ice extent using quantile regression |
title_sort |
analysis of arctic and antarctic sea ice extent using quantile regression |
publisher |
Wiley |
publishDate |
2012 |
url |
http://dx.doi.org/10.1002/joc.3491 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.3491 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.3491 |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_source |
International Journal of Climatology volume 33, issue 5, page 1079-1086 ISSN 0899-8418 1097-0088 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/joc.3491 |
container_title |
International Journal of Climatology |
container_volume |
33 |
container_issue |
5 |
container_start_page |
1079 |
op_container_end_page |
1086 |
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1810496842418356224 |