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 distributio...
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Format: | Dataset |
Language: | English |
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PANGAEA
2019
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Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.909054 https://doi.org/10.1594/PANGAEA.909054 |
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.909054 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
AMSR2 Antarctic Antarctic_Sea_Ice ASCAT File content File format File name File size MULT Multiple investigations Multiyear ice Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas satellite sea ice concentration SITAnt SPP1158 Uniform resource locator/link to file |
spellingShingle |
AMSR2 Antarctic Antarctic_Sea_Ice ASCAT File content File format File name File size MULT Multiple investigations Multiyear ice Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas satellite sea ice concentration SITAnt SPP1158 Uniform resource locator/link to file 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 Antarctic_Sea_Ice ASCAT File content File format File name File size MULT Multiple investigations Multiyear ice Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas satellite sea ice concentration SITAnt SPP1158 Uniform resource locator/link to file |
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 when air temperature rises and approaches the melting point. Air temperature from meteorological reanalysis data used in one correction scheme and sea ice drift is used in the second [Ye et al. 2016a, 2016b]. The data are gridded on a polar stereographic grid (EPSG code 3412, Antarctic) with 12.5 km grid resolution. Further details are explained in the MYI User Guide (https://seaice.uni-bremen.de/data/MultiYearIce/MYIuserguide.pdf). Caveats: This is the first data set of Antarctic multiyear sea ice. Rough young ice and first year ice might erroneously be detected as MYI, and in the vicinity of grounded icebergs, spurious MYI can occur that further spreads during the freezing season. |
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://doi.pangaea.de/10.1594/PANGAEA.909054 https://doi.org/10.1594/PANGAEA.909054 |
op_coverage |
MEDIAN LATITUDE: -73.000000 * MEDIAN LONGITUDE: 180.000000 * SOUTH-BOUND LATITUDE: -80.000000 * WEST-BOUND LONGITUDE: 180.000000 * NORTH-BOUND LATITUDE: -66.000000 * EAST-BOUND LONGITUDE: 180.000000 |
long_lat |
ENVELOPE(180.000000,180.000000,-66.000000,-80.000000) |
geographic |
Arctic Antarctic Canada |
geographic_facet |
Arctic Antarctic Canada |
genre |
Antarc* Antarctic Arctic Arctic Iceberg* Iceberg* Sea ice |
genre_facet |
Antarc* Antarctic Arctic Arctic Iceberg* Iceberg* Sea ice |
op_relation |
Shokr, Mohammed; Agnew, Tom (2013): Validation and potential applications of Environment Canada Ice Concentration Extractor (ECICE) algorithm to Arctic ice by combining AMSR-E and QuikSCAT observations. Remote Sensing of Environment, 128, 315-332, https://doi.org/10.1016/j.rse.2012.10.016 Shokr, Mohammed; Lambe, Andrew; Agnew, Tom (2008): A New Algorithm (ECICE) to Estimate Ice Concentration From Remote Sensing Observations: An Application to 85-GHz Passive Microwave Data. IEEE Transactions on Geoscience and Remote Sensing, 46(12), 4104-4121, https://doi.org/10.1109/tgrs.2008.2000624 Ye, Yufang; Heygster, Georg; Shokr, Mohammed (2016): Improving Multiyear Ice Concentration Estimates With Reanalysis Air Temperatures. IEEE Transactions on Geoscience and Remote Sensing, 54(5), 2602-2614, https://doi.org/10.1109/TGRS.2015.2503884 Ye, Yufang; Shokr, Mohammed; Heygster, Georg; Spreen, Gunnar (2016): Improving Multiyear Sea Ice Concentration Estimates with Sea Ice Drift. Remote Sensing, 8(5), 397, https://doi.org/10.3390/rs8050397 https://doi.pangaea.de/10.1594/PANGAEA.909054 https://doi.org/10.1594/PANGAEA.909054 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
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_ |
1812811385161121792 |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.909054 2024-10-13T14:01:31+00:00 Multiyear Ice Concentration, Antarctic, 12.5 km grid, cold seasons 2013-2018 (from satellite) Melsheimer, Christian Spreen, Gunnar Ye, Yufang Shokr, Mohammed MEDIAN LATITUDE: -73.000000 * MEDIAN LONGITUDE: 180.000000 * SOUTH-BOUND LATITUDE: -80.000000 * WEST-BOUND LONGITUDE: 180.000000 * NORTH-BOUND LATITUDE: -66.000000 * EAST-BOUND LONGITUDE: 180.000000 2019 text/tab-separated-values, 30 data points https://doi.pangaea.de/10.1594/PANGAEA.909054 https://doi.org/10.1594/PANGAEA.909054 en eng PANGAEA Shokr, Mohammed; Agnew, Tom (2013): Validation and potential applications of Environment Canada Ice Concentration Extractor (ECICE) algorithm to Arctic ice by combining AMSR-E and QuikSCAT observations. Remote Sensing of Environment, 128, 315-332, https://doi.org/10.1016/j.rse.2012.10.016 Shokr, Mohammed; Lambe, Andrew; Agnew, Tom (2008): A New Algorithm (ECICE) to Estimate Ice Concentration From Remote Sensing Observations: An Application to 85-GHz Passive Microwave Data. IEEE Transactions on Geoscience and Remote Sensing, 46(12), 4104-4121, https://doi.org/10.1109/tgrs.2008.2000624 Ye, Yufang; Heygster, Georg; Shokr, Mohammed (2016): Improving Multiyear Ice Concentration Estimates With Reanalysis Air Temperatures. IEEE Transactions on Geoscience and Remote Sensing, 54(5), 2602-2614, https://doi.org/10.1109/TGRS.2015.2503884 Ye, Yufang; Shokr, Mohammed; Heygster, Georg; Spreen, Gunnar (2016): Improving Multiyear Sea Ice Concentration Estimates with Sea Ice Drift. Remote Sensing, 8(5), 397, https://doi.org/10.3390/rs8050397 https://doi.pangaea.de/10.1594/PANGAEA.909054 https://doi.org/10.1594/PANGAEA.909054 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess AMSR2 Antarctic Antarctic_Sea_Ice ASCAT File content File format File name File size MULT Multiple investigations Multiyear ice Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas satellite sea ice concentration SITAnt SPP1158 Uniform resource locator/link to file dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.90905410.1016/j.rse.2012.10.01610.1109/tgrs.2008.200062410.1109/TGRS.2015.250388410.3390/rs8050397 2024-10-02T00:42:44Z 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 when air temperature rises and approaches the melting point. Air temperature from meteorological reanalysis data used in one correction scheme and sea ice drift is used in the second [Ye et al. 2016a, 2016b]. The data are gridded on a polar stereographic grid (EPSG code 3412, Antarctic) with 12.5 km grid resolution. Further details are explained in the MYI User Guide (https://seaice.uni-bremen.de/data/MultiYearIce/MYIuserguide.pdf). Caveats: This is the first data set of Antarctic multiyear sea ice. Rough young ice and first year ice might erroneously be detected as MYI, and in the vicinity of grounded icebergs, spurious MYI can occur that further spreads during the freezing season. Dataset Antarc* Antarctic Arctic Arctic Iceberg* Iceberg* Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Arctic Antarctic Canada ENVELOPE(180.000000,180.000000,-66.000000,-80.000000) |