Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ...
The corrected multiyear ice (MYI) concentration product from the University of Bremen, Institute of Environmental Physics (IUP), is being retrieved with a two-step algorithm:(1) A constrained optimisation technique that uses different sets of microwave satellite data and the probability distribution...
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Online Access: | https://dx.doi.org/10.1594/pangaea.909054 https://doi.pangaea.de/10.1594/PANGAEA.909054 |
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ftdatacite:10.1594/pangaea.909054 2024-09-15T17:46:46+00:00 Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ... Melsheimer, Christian Spreen, Gunnar Ye, Yufang Shokr, Mohammed 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.909054 https://doi.pangaea.de/10.1594/PANGAEA.909054 en eng PANGAEA https://dx.doi.org/10.1016/j.rse.2012.10.016 https://dx.doi.org/10.1109/tgrs.2008.2000624 https://dx.doi.org/10.1109/tgrs.2015.2503884 https://dx.doi.org/10.3390/rs8050397 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 AMSR2 Antarctic ASCAT Multiyear ice satellite sea ice concentration SITAnt File content File name File format File size Uniform resource locator/link to file Multiple investigations Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 dataset Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.90905410.1016/j.rse.2012.10.01610.1109/tgrs.2008.200062410.1109/tgrs.2015.250388410.3390/rs8050397 2024-08-01T10:57:37Z The corrected multiyear ice (MYI) concentration product from the University of Bremen, Institute of Environmental Physics (IUP), is being retrieved with a two-step algorithm:(1) A constrained optimisation technique that uses different sets of microwave satellite data and the probability distributions of radiometric signatures of different ice types whose concentration (area fraction) is to be retrieved. This is the Environment Canada Ice Concentration Extractor (ECICE) [Shokr et al. 2008, Shokr and Agnew 2013]. The input data used here are microwave radiometer data at 18 and 37 GHz (horizontal and vertical polarisation) from the instrument AMSR2 (Advanced Microwave Scanning Radiometer 2) on the JAXA satellite GCOM-W1, as well as microwave scatterometer data from ASCAT on the European satellites MetOp-A and -B.(2) Two correction schemes for the output from ECICE in order to correct for anomalous radiometric and backscatter observations. Such anomalies are caused by snow wetness and metamorphism. This happens ... Dataset Antarc* Antarctic Sea ice DataCite |
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collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
AMSR2 Antarctic ASCAT Multiyear ice satellite sea ice concentration SITAnt File content File name File format File size Uniform resource locator/link to file Multiple investigations Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 |
spellingShingle |
AMSR2 Antarctic ASCAT Multiyear ice satellite sea ice concentration SITAnt File content File name File format File size Uniform resource locator/link to file Multiple investigations Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Melsheimer, Christian Spreen, Gunnar Ye, Yufang Shokr, Mohammed Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ... |
topic_facet |
AMSR2 Antarctic ASCAT Multiyear ice satellite sea ice concentration SITAnt File content File name File format File size Uniform resource locator/link to file Multiple investigations Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 |
description |
The corrected multiyear ice (MYI) concentration product from the University of Bremen, Institute of Environmental Physics (IUP), is being retrieved with a two-step algorithm:(1) A constrained optimisation technique that uses different sets of microwave satellite data and the probability distributions of radiometric signatures of different ice types whose concentration (area fraction) is to be retrieved. This is the Environment Canada Ice Concentration Extractor (ECICE) [Shokr et al. 2008, Shokr and Agnew 2013]. The input data used here are microwave radiometer data at 18 and 37 GHz (horizontal and vertical polarisation) from the instrument AMSR2 (Advanced Microwave Scanning Radiometer 2) on the JAXA satellite GCOM-W1, as well as microwave scatterometer data from ASCAT on the European satellites MetOp-A and -B.(2) Two correction schemes for the output from ECICE in order to correct for anomalous radiometric and backscatter observations. Such anomalies are caused by snow wetness and metamorphism. This happens ... |
format |
Dataset |
author |
Melsheimer, Christian Spreen, Gunnar Ye, Yufang Shokr, Mohammed |
author_facet |
Melsheimer, Christian Spreen, Gunnar Ye, Yufang Shokr, Mohammed |
author_sort |
Melsheimer, Christian |
title |
Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ... |
title_short |
Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ... |
title_full |
Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ... |
title_fullStr |
Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ... |
title_full_unstemmed |
Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ... |
title_sort |
multiyear ice concentration, antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) ... |
publisher |
PANGAEA |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.909054 https://doi.pangaea.de/10.1594/PANGAEA.909054 |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_relation |
https://dx.doi.org/10.1016/j.rse.2012.10.016 https://dx.doi.org/10.1109/tgrs.2008.2000624 https://dx.doi.org/10.1109/tgrs.2015.2503884 https://dx.doi.org/10.3390/rs8050397 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.90905410.1016/j.rse.2012.10.01610.1109/tgrs.2008.200062410.1109/tgrs.2015.250388410.3390/rs8050397 |
_version_ |
1810495136409321472 |