The decline of Svalbard land-fast sea ice extent as a result of climate change

The Svalbard Archipelago has experienced some of the most severe temperature increases in the Arctic in the last three decades. This temperature rise has accelerated sea-ice melting along the coast of the archipelago, thus bringing changes to the local environment. In view of the importance of the n...

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Published in:Oceanologia
Main Authors: Jacek A. Urbański, Dagmara Litwicka
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2022
Subjects:
Online Access:https://doi.org/10.1016/j.oceano.2022.03.008
https://doaj.org/article/75cd256d61894b13a6d1012e307270c9
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spelling ftdoajarticles:oai:doaj.org/article:75cd256d61894b13a6d1012e307270c9 2023-05-15T15:14:30+02:00 The decline of Svalbard land-fast sea ice extent as a result of climate change Jacek A. Urbański Dagmara Litwicka 2022-07-01T00:00:00Z https://doi.org/10.1016/j.oceano.2022.03.008 https://doaj.org/article/75cd256d61894b13a6d1012e307270c9 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S0078323422000495 https://doaj.org/toc/0078-3234 0078-3234 doi:10.1016/j.oceano.2022.03.008 https://doaj.org/article/75cd256d61894b13a6d1012e307270c9 Oceanologia, Vol 64, Iss 3, Pp 535-545 (2022) Svalbard Fast ice Warming Machine learning Random Forest Oceanography GC1-1581 article 2022 ftdoajarticles https://doi.org/10.1016/j.oceano.2022.03.008 2022-12-30T23:52:17Z The Svalbard Archipelago has experienced some of the most severe temperature increases in the Arctic in the last three decades. This temperature rise has accelerated sea-ice melting along the coast of the archipelago, thus bringing changes to the local environment. In view of the importance of the near-future distribution of land-fast sea ice along the Svalbard coast, the available observation data on the ice extent between 1973 and 2018 are used herein to create a random forest (RF) model for predicting the daily ice extent and its spatial distribution according to the cumulative number of freezing and thawing degree days and the duration of the ice season. Two RF models are constructed by using either regression or classification algorithms. The regression model makes it possible to estimate the extent of land-fast ice with a root mean square error (RMSE) of 800 km2, while the classification model creates a cluster of submodels in order to forecast the spatial distribution of land-fast ice with less than 10% error. The models also enable the reconstruction of the past ice extent, and the prediction of the near-future extent, from standard meteorological data, and can even analyze the real-time spatial variability of land-fast ice. On average, the minimum two-monthly extent of land-fast sea ice along the Svalbard coast was about 12,000 km2 between 1973 and 2000. In 2005–2019, however, the ice extent declined to about 6,000 km2. A further increase in mean winter air temperatures by two degrees, which is forecast in 10 to 20 years, will result in a minimum two-monthly land-fast ice extent of about 1,500 km2, thus indicating a trend of declining land-fast ice extent in this area. Article in Journal/Newspaper Arctic Climate change Sea ice Svalbard Directory of Open Access Journals: DOAJ Articles Arctic Svalbard Svalbard Archipelago Oceanologia 64 3 535 545
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Svalbard
Fast ice
Warming
Machine learning
Random Forest
Oceanography
GC1-1581
spellingShingle Svalbard
Fast ice
Warming
Machine learning
Random Forest
Oceanography
GC1-1581
Jacek A. Urbański
Dagmara Litwicka
The decline of Svalbard land-fast sea ice extent as a result of climate change
topic_facet Svalbard
Fast ice
Warming
Machine learning
Random Forest
Oceanography
GC1-1581
description The Svalbard Archipelago has experienced some of the most severe temperature increases in the Arctic in the last three decades. This temperature rise has accelerated sea-ice melting along the coast of the archipelago, thus bringing changes to the local environment. In view of the importance of the near-future distribution of land-fast sea ice along the Svalbard coast, the available observation data on the ice extent between 1973 and 2018 are used herein to create a random forest (RF) model for predicting the daily ice extent and its spatial distribution according to the cumulative number of freezing and thawing degree days and the duration of the ice season. Two RF models are constructed by using either regression or classification algorithms. The regression model makes it possible to estimate the extent of land-fast ice with a root mean square error (RMSE) of 800 km2, while the classification model creates a cluster of submodels in order to forecast the spatial distribution of land-fast ice with less than 10% error. The models also enable the reconstruction of the past ice extent, and the prediction of the near-future extent, from standard meteorological data, and can even analyze the real-time spatial variability of land-fast ice. On average, the minimum two-monthly extent of land-fast sea ice along the Svalbard coast was about 12,000 km2 between 1973 and 2000. In 2005–2019, however, the ice extent declined to about 6,000 km2. A further increase in mean winter air temperatures by two degrees, which is forecast in 10 to 20 years, will result in a minimum two-monthly land-fast ice extent of about 1,500 km2, thus indicating a trend of declining land-fast ice extent in this area.
format Article in Journal/Newspaper
author Jacek A. Urbański
Dagmara Litwicka
author_facet Jacek A. Urbański
Dagmara Litwicka
author_sort Jacek A. Urbański
title The decline of Svalbard land-fast sea ice extent as a result of climate change
title_short The decline of Svalbard land-fast sea ice extent as a result of climate change
title_full The decline of Svalbard land-fast sea ice extent as a result of climate change
title_fullStr The decline of Svalbard land-fast sea ice extent as a result of climate change
title_full_unstemmed The decline of Svalbard land-fast sea ice extent as a result of climate change
title_sort decline of svalbard land-fast sea ice extent as a result of climate change
publisher Elsevier
publishDate 2022
url https://doi.org/10.1016/j.oceano.2022.03.008
https://doaj.org/article/75cd256d61894b13a6d1012e307270c9
geographic Arctic
Svalbard
Svalbard Archipelago
geographic_facet Arctic
Svalbard
Svalbard Archipelago
genre Arctic
Climate change
Sea ice
Svalbard
genre_facet Arctic
Climate change
Sea ice
Svalbard
op_source Oceanologia, Vol 64, Iss 3, Pp 535-545 (2022)
op_relation http://www.sciencedirect.com/science/article/pii/S0078323422000495
https://doaj.org/toc/0078-3234
0078-3234
doi:10.1016/j.oceano.2022.03.008
https://doaj.org/article/75cd256d61894b13a6d1012e307270c9
op_doi https://doi.org/10.1016/j.oceano.2022.03.008
container_title Oceanologia
container_volume 64
container_issue 3
container_start_page 535
op_container_end_page 545
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