Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and Scatterometer Data
Satellites enable daily and global coverage of the polar oceans and provide a unique monitoring capability of sea ice dynamics. Sea ice drift maps can be estimated in Arctic from several satellite sensors, particularly from scatterometers and radiometers. This study presents the benefits of combinin...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | https://archimer.ifremer.fr/doc/00088/19895/17729.pdf https://doi.org/10.1109/TGRS.2012.2184124 https://archimer.ifremer.fr/doc/00088/19895/ |
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ftarchimer:oai:archimer.ifremer.fr:19895 2023-05-15T14:50:52+02:00 Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and Scatterometer Data Ardhuin, Fanny Ezraty, Robert 2012-07 application/pdf https://archimer.ifremer.fr/doc/00088/19895/17729.pdf https://doi.org/10.1109/TGRS.2012.2184124 https://archimer.ifremer.fr/doc/00088/19895/ eng eng Ieee-inst Electrical Electronics Engineers Inc https://archimer.ifremer.fr/doc/00088/19895/17729.pdf doi:10.1109/TGRS.2012.2184124 https://archimer.ifremer.fr/doc/00088/19895/ 2012 IEEE info:eu-repo/semantics/openAccess restricted use Ieee Transactions On Geoscience And Remote Sensing (0196-2892) (Ieee-inst Electrical Electronics Engineers Inc), 2012-07 , Vol. 50 , N. 7 , P. 2639-2648 Arctic Advanced Scatterometer (ASCAT) drift merging scatterometry sea ice text Publication info:eu-repo/semantics/article 2012 ftarchimer https://doi.org/10.1109/TGRS.2012.2184124 2021-09-23T20:21:00Z Satellites enable daily and global coverage of the polar oceans and provide a unique monitoring capability of sea ice dynamics. Sea ice drift maps can be estimated in Arctic from several satellite sensors, particularly from scatterometers and radiometers. This study presents the benefits of combining single drift fields at the same resolution into a "merged" field, built at three-and six-day lags during winters with a 62.5-km resolution. It is shown that combining these drift fields not only increases the reliability of the displacement estimation and the number of estimated vectors to almost a full ice covered area but also expands the time period over which these estimations are reliable from freeze until the melt onset. The autumn-winter-spring sea ice drift fields presented here are systematically produced at Institut Francais de Recherche pour l'Exploitation de la Mer/Centre d'Exploitation et de Recherche Satellitaire, the sea ice drift 1992-2011 time series is available, and the processing is ongoing. These data are available for operational use and for the scientific community. Article in Journal/Newspaper Arctic Sea ice Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Arctic IEEE Transactions on Geoscience and Remote Sensing 50 7 2639 2648 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
topic |
Arctic Advanced Scatterometer (ASCAT) drift merging scatterometry sea ice |
spellingShingle |
Arctic Advanced Scatterometer (ASCAT) drift merging scatterometry sea ice Ardhuin, Fanny Ezraty, Robert Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and Scatterometer Data |
topic_facet |
Arctic Advanced Scatterometer (ASCAT) drift merging scatterometry sea ice |
description |
Satellites enable daily and global coverage of the polar oceans and provide a unique monitoring capability of sea ice dynamics. Sea ice drift maps can be estimated in Arctic from several satellite sensors, particularly from scatterometers and radiometers. This study presents the benefits of combining single drift fields at the same resolution into a "merged" field, built at three-and six-day lags during winters with a 62.5-km resolution. It is shown that combining these drift fields not only increases the reliability of the displacement estimation and the number of estimated vectors to almost a full ice covered area but also expands the time period over which these estimations are reliable from freeze until the melt onset. The autumn-winter-spring sea ice drift fields presented here are systematically produced at Institut Francais de Recherche pour l'Exploitation de la Mer/Centre d'Exploitation et de Recherche Satellitaire, the sea ice drift 1992-2011 time series is available, and the processing is ongoing. These data are available for operational use and for the scientific community. |
format |
Article in Journal/Newspaper |
author |
Ardhuin, Fanny Ezraty, Robert |
author_facet |
Ardhuin, Fanny Ezraty, Robert |
author_sort |
Ardhuin, Fanny |
title |
Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and Scatterometer Data |
title_short |
Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and Scatterometer Data |
title_full |
Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and Scatterometer Data |
title_fullStr |
Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and Scatterometer Data |
title_full_unstemmed |
Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and Scatterometer Data |
title_sort |
enhanced arctic sea ice drift estimation merging radiometer and scatterometer data |
publisher |
Ieee-inst Electrical Electronics Engineers Inc |
publishDate |
2012 |
url |
https://archimer.ifremer.fr/doc/00088/19895/17729.pdf https://doi.org/10.1109/TGRS.2012.2184124 https://archimer.ifremer.fr/doc/00088/19895/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Ieee Transactions On Geoscience And Remote Sensing (0196-2892) (Ieee-inst Electrical Electronics Engineers Inc), 2012-07 , Vol. 50 , N. 7 , P. 2639-2648 |
op_relation |
https://archimer.ifremer.fr/doc/00088/19895/17729.pdf doi:10.1109/TGRS.2012.2184124 https://archimer.ifremer.fr/doc/00088/19895/ |
op_rights |
2012 IEEE info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.1109/TGRS.2012.2184124 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
50 |
container_issue |
7 |
container_start_page |
2639 |
op_container_end_page |
2648 |
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1766321932554207232 |