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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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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1774713578866081792 |