Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels

Sea ice variability within the marginal ice zone (MIZ) and polynyas plays an important role for phytoplankton productivity and krill abundance. Therefore, mapping their spatial extent as well as seasonal and interannual variability is essential for understanding how current and future changes in the...

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Published in:The Cryosphere
Main Authors: Stroeve, Julienne C., Jenouvrier, Stephanie, Campbell, G. Garrett, Barbraud, Christophe, Delord, Karine
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-10-1823-2016
https://tc.copernicus.org/articles/10/1823/2016/
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spelling ftcopernicus:oai:publications.copernicus.org:tc49649 2023-05-15T13:54:27+02:00 Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels Stroeve, Julienne C. Jenouvrier, Stephanie Campbell, G. Garrett Barbraud, Christophe Delord, Karine 2018-09-27 application/pdf https://doi.org/10.5194/tc-10-1823-2016 https://tc.copernicus.org/articles/10/1823/2016/ eng eng doi:10.5194/tc-10-1823-2016 https://tc.copernicus.org/articles/10/1823/2016/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-10-1823-2016 2020-07-20T16:24:02Z Sea ice variability within the marginal ice zone (MIZ) and polynyas plays an important role for phytoplankton productivity and krill abundance. Therefore, mapping their spatial extent as well as seasonal and interannual variability is essential for understanding how current and future changes in these biologically active regions may impact the Antarctic marine ecosystem. Knowledge of the distribution of MIZ, consolidated pack ice and coastal polynyas in the total Antarctic sea ice cover may also help to shed light on the factors contributing towards recent expansion of the Antarctic ice cover in some regions and contraction in others. The long-term passive microwave satellite data record provides the longest and most consistent record for assessing the proportion of the sea ice cover that is covered by each of these ice categories. However, estimates of the amount of MIZ, consolidated pack ice and polynyas depend strongly on which sea ice algorithm is used. This study uses two popular passive microwave sea ice algorithms, the NASA Team and Bootstrap, and applies the same thresholds to the sea ice concentrations to evaluate the distribution and variability in the MIZ, the consolidated pack ice and coastal polynyas. Results reveal that the seasonal cycle in the MIZ and pack ice is generally similar between both algorithms, yet the NASA Team algorithm has on average twice the MIZ and half the consolidated pack ice area as the Bootstrap algorithm. Trends also differ, with the Bootstrap algorithm suggesting statistically significant trends towards increased pack ice area and no statistically significant trends in the MIZ. The NASA Team algorithm on the other hand indicates statistically significant positive trends in the MIZ during spring. Potential coastal polynya area and amount of broken ice within the consolidated ice pack are also larger in the NASA Team algorithm. The timing of maximum polynya area may differ by as much as 5 months between algorithms. These differences lead to different relationships between sea ice characteristics and biological processes, as illustrated here with the breeding success of an Antarctic seabird. Text Antarc* Antarctic ice pack Sea ice Snow Petrels Copernicus Publications: E-Journals Antarctic The Antarctic The Cryosphere 10 4 1823 1843
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Sea ice variability within the marginal ice zone (MIZ) and polynyas plays an important role for phytoplankton productivity and krill abundance. Therefore, mapping their spatial extent as well as seasonal and interannual variability is essential for understanding how current and future changes in these biologically active regions may impact the Antarctic marine ecosystem. Knowledge of the distribution of MIZ, consolidated pack ice and coastal polynyas in the total Antarctic sea ice cover may also help to shed light on the factors contributing towards recent expansion of the Antarctic ice cover in some regions and contraction in others. The long-term passive microwave satellite data record provides the longest and most consistent record for assessing the proportion of the sea ice cover that is covered by each of these ice categories. However, estimates of the amount of MIZ, consolidated pack ice and polynyas depend strongly on which sea ice algorithm is used. This study uses two popular passive microwave sea ice algorithms, the NASA Team and Bootstrap, and applies the same thresholds to the sea ice concentrations to evaluate the distribution and variability in the MIZ, the consolidated pack ice and coastal polynyas. Results reveal that the seasonal cycle in the MIZ and pack ice is generally similar between both algorithms, yet the NASA Team algorithm has on average twice the MIZ and half the consolidated pack ice area as the Bootstrap algorithm. Trends also differ, with the Bootstrap algorithm suggesting statistically significant trends towards increased pack ice area and no statistically significant trends in the MIZ. The NASA Team algorithm on the other hand indicates statistically significant positive trends in the MIZ during spring. Potential coastal polynya area and amount of broken ice within the consolidated ice pack are also larger in the NASA Team algorithm. The timing of maximum polynya area may differ by as much as 5 months between algorithms. These differences lead to different relationships between sea ice characteristics and biological processes, as illustrated here with the breeding success of an Antarctic seabird.
format Text
author Stroeve, Julienne C.
Jenouvrier, Stephanie
Campbell, G. Garrett
Barbraud, Christophe
Delord, Karine
spellingShingle Stroeve, Julienne C.
Jenouvrier, Stephanie
Campbell, G. Garrett
Barbraud, Christophe
Delord, Karine
Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels
author_facet Stroeve, Julienne C.
Jenouvrier, Stephanie
Campbell, G. Garrett
Barbraud, Christophe
Delord, Karine
author_sort Stroeve, Julienne C.
title Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels
title_short Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels
title_full Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels
title_fullStr Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels
title_full_unstemmed Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels
title_sort mapping and assessing variability in the antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels
publishDate 2018
url https://doi.org/10.5194/tc-10-1823-2016
https://tc.copernicus.org/articles/10/1823/2016/
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
ice pack
Sea ice
Snow Petrels
genre_facet Antarc*
Antarctic
ice pack
Sea ice
Snow Petrels
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-10-1823-2016
https://tc.copernicus.org/articles/10/1823/2016/
op_doi https://doi.org/10.5194/tc-10-1823-2016
container_title The Cryosphere
container_volume 10
container_issue 4
container_start_page 1823
op_container_end_page 1843
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