Eddies in the Marginal Ice Zone of Fram Strait and Svalbard from Spaceborne SAR Observations in Winter

Here we investigate the intensity of eddy generation and their properties in the marginal ice zone (MIZ) regions of Fram Strait and around Svalbard using spaceborne synthetic aperture radar (SAR) data from Envisat ASAR and Sentinel-1 in winter 2007 and 2018. Analysis of 2039 SAR images allowed ident...

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Published in:Remote Sensing
Main Authors: Igor E. Kozlov, Oksana A. Atadzhanova
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/rs14010134
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spelling ftmdpi:oai:mdpi.com:/2072-4292/14/1/134/ 2023-08-20T04:04:42+02:00 Eddies in the Marginal Ice Zone of Fram Strait and Svalbard from Spaceborne SAR Observations in Winter Igor E. Kozlov Oksana A. Atadzhanova agris 2021-12-29 application/pdf https://doi.org/10.3390/rs14010134 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing and Geo-Spatial Science https://dx.doi.org/10.3390/rs14010134 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 1; Pages: 134 ocean eddies marginal ice zone sea ice SAR imaging Fram Strait Svalbard Greenland Sea Hopen Island Arctic Ocean Text 2021 ftmdpi https://doi.org/10.3390/rs14010134 2023-08-01T03:41:47Z Here we investigate the intensity of eddy generation and their properties in the marginal ice zone (MIZ) regions of Fram Strait and around Svalbard using spaceborne synthetic aperture radar (SAR) data from Envisat ASAR and Sentinel-1 in winter 2007 and 2018. Analysis of 2039 SAR images allowed identifying 4619 eddy signatures. The number of eddies detected per image per kilometer of MIZ length is similar for both years. Submesoscale and small mesoscale eddies dominate with cyclones detected twice more frequently than anticyclones. Eddy diameters range from 1 to 68 km with mean values of 6 km and 12 km over shallow and deep water, respectively. Mean eddy size grows with increasing ice concentration in the MIZ, yet most eddies are detected at the ice edge and where the ice concentration is below 20%. The fraction of sea ice trapped in cyclones (53%) is slightly higher than that in anticyclones (48%). The amount of sea ice trapped by a single ‘mean’ eddy is about 40 km2, while the average horizontal retreat of the ice edge due to eddy-induced ice melt is about 0.2–0.5 km·d–1 ± 0.02 km·d–1. Relation of eddy occurrence to background currents and winds is also discussed. Text Arctic Arctic Ocean Fram Strait Greenland Greenland Sea Hopen Hopen island Sea ice Svalbard Hopen MDPI Open Access Publishing Arctic Arctic Ocean Svalbard Greenland Asar ENVELOPE(134.033,134.033,68.667,68.667) Hopen ENVELOPE(9.279,9.279,63.379,63.379) Remote Sensing 14 1 134
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic ocean eddies
marginal ice zone
sea ice
SAR imaging
Fram Strait
Svalbard
Greenland Sea
Hopen Island
Arctic Ocean
spellingShingle ocean eddies
marginal ice zone
sea ice
SAR imaging
Fram Strait
Svalbard
Greenland Sea
Hopen Island
Arctic Ocean
Igor E. Kozlov
Oksana A. Atadzhanova
Eddies in the Marginal Ice Zone of Fram Strait and Svalbard from Spaceborne SAR Observations in Winter
topic_facet ocean eddies
marginal ice zone
sea ice
SAR imaging
Fram Strait
Svalbard
Greenland Sea
Hopen Island
Arctic Ocean
description Here we investigate the intensity of eddy generation and their properties in the marginal ice zone (MIZ) regions of Fram Strait and around Svalbard using spaceborne synthetic aperture radar (SAR) data from Envisat ASAR and Sentinel-1 in winter 2007 and 2018. Analysis of 2039 SAR images allowed identifying 4619 eddy signatures. The number of eddies detected per image per kilometer of MIZ length is similar for both years. Submesoscale and small mesoscale eddies dominate with cyclones detected twice more frequently than anticyclones. Eddy diameters range from 1 to 68 km with mean values of 6 km and 12 km over shallow and deep water, respectively. Mean eddy size grows with increasing ice concentration in the MIZ, yet most eddies are detected at the ice edge and where the ice concentration is below 20%. The fraction of sea ice trapped in cyclones (53%) is slightly higher than that in anticyclones (48%). The amount of sea ice trapped by a single ‘mean’ eddy is about 40 km2, while the average horizontal retreat of the ice edge due to eddy-induced ice melt is about 0.2–0.5 km·d–1 ± 0.02 km·d–1. Relation of eddy occurrence to background currents and winds is also discussed.
format Text
author Igor E. Kozlov
Oksana A. Atadzhanova
author_facet Igor E. Kozlov
Oksana A. Atadzhanova
author_sort Igor E. Kozlov
title Eddies in the Marginal Ice Zone of Fram Strait and Svalbard from Spaceborne SAR Observations in Winter
title_short Eddies in the Marginal Ice Zone of Fram Strait and Svalbard from Spaceborne SAR Observations in Winter
title_full Eddies in the Marginal Ice Zone of Fram Strait and Svalbard from Spaceborne SAR Observations in Winter
title_fullStr Eddies in the Marginal Ice Zone of Fram Strait and Svalbard from Spaceborne SAR Observations in Winter
title_full_unstemmed Eddies in the Marginal Ice Zone of Fram Strait and Svalbard from Spaceborne SAR Observations in Winter
title_sort eddies in the marginal ice zone of fram strait and svalbard from spaceborne sar observations in winter
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs14010134
op_coverage agris
long_lat ENVELOPE(134.033,134.033,68.667,68.667)
ENVELOPE(9.279,9.279,63.379,63.379)
geographic Arctic
Arctic Ocean
Svalbard
Greenland
Asar
Hopen
geographic_facet Arctic
Arctic Ocean
Svalbard
Greenland
Asar
Hopen
genre Arctic
Arctic Ocean
Fram Strait
Greenland
Greenland Sea
Hopen
Hopen island
Sea ice
Svalbard
Hopen
genre_facet Arctic
Arctic Ocean
Fram Strait
Greenland
Greenland Sea
Hopen
Hopen island
Sea ice
Svalbard
Hopen
op_source Remote Sensing; Volume 14; Issue 1; Pages: 134
op_relation Remote Sensing and Geo-Spatial Science
https://dx.doi.org/10.3390/rs14010134
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs14010134
container_title Remote Sensing
container_volume 14
container_issue 1
container_start_page 134
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