An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery

Leads are major sites of energy fluxes and brine releases at the air-ocean interface of sea-ice covered oceans. This study presents an algorithm to detect leads wider than 3 km in the entire Arctic Ocean. The algorithm detects 50 % of the lead area that was visible in optical MODIS satellite images....

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Published in:The Cryosphere
Main Authors: Röhrs, J., Kaleschke, L.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2012
Subjects:
Online Access:https://doi.org/10.5194/tc-6-343-2012
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00026024 2023-05-15T14:56:07+02:00 An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery Röhrs, J. Kaleschke, L. 2012-03 electronic https://doi.org/10.5194/tc-6-343-2012 https://noa.gwlb.de/receive/cop_mods_00026024 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00025979/tc-6-343-2012.pdf https://tc.copernicus.org/articles/6/343/2012/tc-6-343-2012.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-6-343-2012 https://noa.gwlb.de/receive/cop_mods_00026024 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00025979/tc-6-343-2012.pdf https://tc.copernicus.org/articles/6/343/2012/tc-6-343-2012.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2012 ftnonlinearchiv https://doi.org/10.5194/tc-6-343-2012 2022-02-08T22:49:24Z Leads are major sites of energy fluxes and brine releases at the air-ocean interface of sea-ice covered oceans. This study presents an algorithm to detect leads wider than 3 km in the entire Arctic Ocean. The algorithm detects 50 % of the lead area that was visible in optical MODIS satellite images. Passive microwave imagery from the Advanced Microwave Scanning Radiometer – Earth Observation System (AMSR-E) is used, allowing daily observations due to the fact that AMSR-E does not depend on daylight or cloud conditions. Using the unique signatures of thin ice in the brightness temperature ratio between the 89 GHz and 19 GHz channels, the algorithm is able to detect thin ice areas in the ice cover and is optimized to detect leads. Leads are mapped for the period from 2002 to 2011 excluding the summer months, and validated qualitatively by using MODIS, Envisat ASAR, and CryoSat-2 data. Several frequently recurring large scale lead patterns are found, especially in regions where sea ice is known to drift out of the Arctic Ocean. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice The Cryosphere Niedersächsisches Online-Archiv NOA Arctic Arctic Ocean Asar ENVELOPE(134.033,134.033,68.667,68.667) The Cryosphere 6 2 343 352
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Röhrs, J.
Kaleschke, L.
An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
topic_facet article
Verlagsveröffentlichung
description Leads are major sites of energy fluxes and brine releases at the air-ocean interface of sea-ice covered oceans. This study presents an algorithm to detect leads wider than 3 km in the entire Arctic Ocean. The algorithm detects 50 % of the lead area that was visible in optical MODIS satellite images. Passive microwave imagery from the Advanced Microwave Scanning Radiometer – Earth Observation System (AMSR-E) is used, allowing daily observations due to the fact that AMSR-E does not depend on daylight or cloud conditions. Using the unique signatures of thin ice in the brightness temperature ratio between the 89 GHz and 19 GHz channels, the algorithm is able to detect thin ice areas in the ice cover and is optimized to detect leads. Leads are mapped for the period from 2002 to 2011 excluding the summer months, and validated qualitatively by using MODIS, Envisat ASAR, and CryoSat-2 data. Several frequently recurring large scale lead patterns are found, especially in regions where sea ice is known to drift out of the Arctic Ocean.
format Article in Journal/Newspaper
author Röhrs, J.
Kaleschke, L.
author_facet Röhrs, J.
Kaleschke, L.
author_sort Röhrs, J.
title An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_short An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_full An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_fullStr An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_full_unstemmed An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_sort algorithm to detect sea ice leads by using amsr-e passive microwave imagery
publisher Copernicus Publications
publishDate 2012
url https://doi.org/10.5194/tc-6-343-2012
https://noa.gwlb.de/receive/cop_mods_00026024
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00025979/tc-6-343-2012.pdf
https://tc.copernicus.org/articles/6/343/2012/tc-6-343-2012.pdf
long_lat ENVELOPE(134.033,134.033,68.667,68.667)
geographic Arctic
Arctic Ocean
Asar
geographic_facet Arctic
Arctic Ocean
Asar
genre Arctic
Arctic Ocean
Sea ice
The Cryosphere
genre_facet Arctic
Arctic Ocean
Sea ice
The Cryosphere
op_relation The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424
https://doi.org/10.5194/tc-6-343-2012
https://noa.gwlb.de/receive/cop_mods_00026024
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00025979/tc-6-343-2012.pdf
https://tc.copernicus.org/articles/6/343/2012/tc-6-343-2012.pdf
op_rights uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-6-343-2012
container_title The Cryosphere
container_volume 6
container_issue 2
container_start_page 343
op_container_end_page 352
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