Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica

The recent observed thinning of the glacier ice shelves in the Amundsen Sea (Antarctica) has been attributed to warm deep currents, possibly induced by along-coast winds in the vicinity of the glacial ice sheet. Here, high resolution maps of wind fields derived from Synthetic Aperture Radar (SAR) da...

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Published in:Remote Sensing
Main Authors: Gisela Carvajal, Anna Wåhlin, Leif Eriksson, Lars Ulander
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2013
Subjects:
Online Access:https://doi.org/10.3390/rs5084088
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spelling ftmdpi:oai:mdpi.com:/2072-4292/5/8/4088/ 2023-08-20T03:59:33+02:00 Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica Gisela Carvajal Anna Wåhlin Leif Eriksson Lars Ulander 2013-08-16 application/pdf https://doi.org/10.3390/rs5084088 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs5084088 https://creativecommons.org/licenses/by-nc-sa/3.0/ Remote Sensing; Volume 5; Issue 8; Pages: 4088-4106 Amundsen Sea surface wind Synthetic Aperture Radar ocean deep water velocity ERA interim Envisat ASAR Text 2013 ftmdpi https://doi.org/10.3390/rs5084088 2023-07-31T20:33:38Z The recent observed thinning of the glacier ice shelves in the Amundsen Sea (Antarctica) has been attributed to warm deep currents, possibly induced by along-coast winds in the vicinity of the glacial ice sheet. Here, high resolution maps of wind fields derived from Synthetic Aperture Radar (SAR) data have been studied and correlated with subsurface measurements of the deep water velocities in the Amundsen Sea area. Focus is on periods with low ice coverage in 2010 and 2011. In 2010, which had comparatively low ice coverage, the results indicate a more rapid response to wind forcing in the deep currents than in 2011. The SAR wind speed maps have better spatial resolution than available reanalysis data, and higher maximum correlation was obtained with SAR data than with reanalysis data despite the lower temporal resolution. The maximum correlation was R = 0.71, in a direction that is consistent with wind-driven Ekman theory. This is significantly larger than in previous studies. The larger correlation could be due to the better spatial resolution or the restriction to months with minimum ice coverage. The results indicate that SAR is a useful complement to infer the subsurface variability of the ocean circulation in remote areas in polar oceans. Text Amundsen Sea Antarc* Antarctica Ice Sheet Ice Shelves MDPI Open Access Publishing Amundsen Sea Asar ENVELOPE(134.033,134.033,68.667,68.667) Remote Sensing 5 8 4088 4106
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Amundsen Sea
surface wind
Synthetic Aperture Radar
ocean
deep water velocity
ERA interim
Envisat ASAR
spellingShingle Amundsen Sea
surface wind
Synthetic Aperture Radar
ocean
deep water velocity
ERA interim
Envisat ASAR
Gisela Carvajal
Anna Wåhlin
Leif Eriksson
Lars Ulander
Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica
topic_facet Amundsen Sea
surface wind
Synthetic Aperture Radar
ocean
deep water velocity
ERA interim
Envisat ASAR
description The recent observed thinning of the glacier ice shelves in the Amundsen Sea (Antarctica) has been attributed to warm deep currents, possibly induced by along-coast winds in the vicinity of the glacial ice sheet. Here, high resolution maps of wind fields derived from Synthetic Aperture Radar (SAR) data have been studied and correlated with subsurface measurements of the deep water velocities in the Amundsen Sea area. Focus is on periods with low ice coverage in 2010 and 2011. In 2010, which had comparatively low ice coverage, the results indicate a more rapid response to wind forcing in the deep currents than in 2011. The SAR wind speed maps have better spatial resolution than available reanalysis data, and higher maximum correlation was obtained with SAR data than with reanalysis data despite the lower temporal resolution. The maximum correlation was R = 0.71, in a direction that is consistent with wind-driven Ekman theory. This is significantly larger than in previous studies. The larger correlation could be due to the better spatial resolution or the restriction to months with minimum ice coverage. The results indicate that SAR is a useful complement to infer the subsurface variability of the ocean circulation in remote areas in polar oceans.
format Text
author Gisela Carvajal
Anna Wåhlin
Leif Eriksson
Lars Ulander
author_facet Gisela Carvajal
Anna Wåhlin
Leif Eriksson
Lars Ulander
author_sort Gisela Carvajal
title Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica
title_short Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica
title_full Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica
title_fullStr Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica
title_full_unstemmed Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica
title_sort correlation between synthetic aperture radar surface winds and deep water velocity in the amundsen sea, antarctica
publisher Multidisciplinary Digital Publishing Institute
publishDate 2013
url https://doi.org/10.3390/rs5084088
long_lat ENVELOPE(134.033,134.033,68.667,68.667)
geographic Amundsen Sea
Asar
geographic_facet Amundsen Sea
Asar
genre Amundsen Sea
Antarc*
Antarctica
Ice Sheet
Ice Shelves
genre_facet Amundsen Sea
Antarc*
Antarctica
Ice Sheet
Ice Shelves
op_source Remote Sensing; Volume 5; Issue 8; Pages: 4088-4106
op_relation https://dx.doi.org/10.3390/rs5084088
op_rights https://creativecommons.org/licenses/by-nc-sa/3.0/
op_doi https://doi.org/10.3390/rs5084088
container_title Remote Sensing
container_volume 5
container_issue 8
container_start_page 4088
op_container_end_page 4106
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