A nine-year climatology of arctic sea ice lead orientation and frequency from AMSR-E

We infer the fractional coverage of sea ice leads (as concentration) in the Arctic from Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) brightness temperatures. The lead concentration resolves leads of at least 3 km in width. We introduce a new algorithm based on the...

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Published in:Remote Sensing
Main Authors: Broehan, D., Kaleschke, L.
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/11858/00-001M-0000-0025-B48C-6
http://hdl.handle.net/21.11116/0000-0003-3BDB-5
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spelling ftpubman:oai:pure.mpg.de:item_2030781 2023-08-20T04:03:56+02:00 A nine-year climatology of arctic sea ice lead orientation and frequency from AMSR-E Broehan, D. Kaleschke, L. 2014-02 application/pdf http://hdl.handle.net/11858/00-001M-0000-0025-B48C-6 http://hdl.handle.net/21.11116/0000-0003-3BDB-5 eng eng info:eu-repo/semantics/altIdentifier/doi/10.3390/rs6021451 http://hdl.handle.net/11858/00-001M-0000-0025-B48C-6 http://hdl.handle.net/21.11116/0000-0003-3BDB-5 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Remote Sensing info:eu-repo/semantics/article 2014 ftpubman https://doi.org/10.3390/rs6021451 2023-08-01T23:50:42Z We infer the fractional coverage of sea ice leads (as concentration) in the Arctic from Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) brightness temperatures. The lead concentration resolves leads of at least 3 km in width. We introduce a new algorithm based on the progressive probabilistic Hough transform to automatically infer lead positions and orientations from daily AMSR-E satellite observations. Because the progressive probabilistic Hough transform often detects an identical lead several times the algorithm clusters neighboring leads that belong to one lead position. A first comparison of automatically detected lead positions and orientations with manually detected lead positions and orientations reveals that 57% of the reference leads are correctly determined. Around 11% of automatically detected leads are located where no reference lead occurs. The automatically detected lead orientations are distributed slightly differently from the reference lead orientations. A second comparison of automatically detected leads in the Fram Strait to leads in a wide swath mode Advanced Synthetic Aperture Radar scene shows a good agreement. We provide an Arctic-wide time series of lead orientations for winters from 2002 to 2011. For example, while a lead orientation of 110° with respect to the Greenwich meridian prevails in the Fram Strait, lead orientations in the Beaufort Sea are more isotropically distributed. We find significant preferred lead orientations almost everywhere in the Arctic Ocean when averaged over the entire AMSR-E time series. © 2014 by the authors. Article in Journal/Newspaper Arctic Arctic Ocean Beaufort Sea Fram Strait Sea ice Max Planck Society: MPG.PuRe Arctic Arctic Ocean Greenwich Remote Sensing 6 2 1451 1475
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description We infer the fractional coverage of sea ice leads (as concentration) in the Arctic from Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) brightness temperatures. The lead concentration resolves leads of at least 3 km in width. We introduce a new algorithm based on the progressive probabilistic Hough transform to automatically infer lead positions and orientations from daily AMSR-E satellite observations. Because the progressive probabilistic Hough transform often detects an identical lead several times the algorithm clusters neighboring leads that belong to one lead position. A first comparison of automatically detected lead positions and orientations with manually detected lead positions and orientations reveals that 57% of the reference leads are correctly determined. Around 11% of automatically detected leads are located where no reference lead occurs. The automatically detected lead orientations are distributed slightly differently from the reference lead orientations. A second comparison of automatically detected leads in the Fram Strait to leads in a wide swath mode Advanced Synthetic Aperture Radar scene shows a good agreement. We provide an Arctic-wide time series of lead orientations for winters from 2002 to 2011. For example, while a lead orientation of 110° with respect to the Greenwich meridian prevails in the Fram Strait, lead orientations in the Beaufort Sea are more isotropically distributed. We find significant preferred lead orientations almost everywhere in the Arctic Ocean when averaged over the entire AMSR-E time series. © 2014 by the authors.
format Article in Journal/Newspaper
author Broehan, D.
Kaleschke, L.
spellingShingle Broehan, D.
Kaleschke, L.
A nine-year climatology of arctic sea ice lead orientation and frequency from AMSR-E
author_facet Broehan, D.
Kaleschke, L.
author_sort Broehan, D.
title A nine-year climatology of arctic sea ice lead orientation and frequency from AMSR-E
title_short A nine-year climatology of arctic sea ice lead orientation and frequency from AMSR-E
title_full A nine-year climatology of arctic sea ice lead orientation and frequency from AMSR-E
title_fullStr A nine-year climatology of arctic sea ice lead orientation and frequency from AMSR-E
title_full_unstemmed A nine-year climatology of arctic sea ice lead orientation and frequency from AMSR-E
title_sort nine-year climatology of arctic sea ice lead orientation and frequency from amsr-e
publishDate 2014
url http://hdl.handle.net/11858/00-001M-0000-0025-B48C-6
http://hdl.handle.net/21.11116/0000-0003-3BDB-5
geographic Arctic
Arctic Ocean
Greenwich
geographic_facet Arctic
Arctic Ocean
Greenwich
genre Arctic
Arctic Ocean
Beaufort Sea
Fram Strait
Sea ice
genre_facet Arctic
Arctic Ocean
Beaufort Sea
Fram Strait
Sea ice
op_source Remote Sensing
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3390/rs6021451
http://hdl.handle.net/11858/00-001M-0000-0025-B48C-6
http://hdl.handle.net/21.11116/0000-0003-3BDB-5
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.3390/rs6021451
container_title Remote Sensing
container_volume 6
container_issue 2
container_start_page 1451
op_container_end_page 1475
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