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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Bibliographic Details
Main Authors: Melsheimer, Christian, Spreen, Gunnar, Ye, Yufang, Shokr, Mohammed
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.909054
https://doi.org/10.1594/PANGAEA.909054
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.909054
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)