Basal roughness in East Antarctica ...
We provide a data set to investigate the subglacial properties of the East Antarctic Ice Sheet by statistically analysing the roughness of the bed topography, inferred from radio-echo sounding measurements. We analyse two sets of roughness parameters, one derived in the spatial and the other in the...
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Online Access: | https://dx.doi.org/10.1594/pangaea.930525 https://doi.pangaea.de/10.1594/PANGAEA.930525 |
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ftdatacite:10.1594/pangaea.930525 2024-06-09T07:40:36+00:00 Basal roughness in East Antarctica ... Winter, Anna Eisen, Olaf Kleiner, Thomas Humbert, Angelika Steinhage, Daniel 2021 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.930525 https://doi.pangaea.de/10.1594/PANGAEA.930525 en eng PANGAEA https://dx.doi.org/10.1017/aog.2020.47 Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 Antarctica bedrock Radar Data radio-echo sounding Binary Object Binary Object File Size Multiple investigations Dataset dataset 2021 ftdatacite https://doi.org/10.1594/pangaea.93052510.1017/aog.2020.47 2024-05-13T12:44:57Z We provide a data set to investigate the subglacial properties of the East Antarctic Ice Sheet by statistically analysing the roughness of the bed topography, inferred from radio-echo sounding measurements. We analyse two sets of roughness parameters, one derived in the spatial and the other in the spectral domain, with two roughness parameters each. This enables us to compare the suitability of the four roughness parameters to classify the subglacial landscapes below the ice sheet. ... : Basal motion of ice sheets depends in part on the roughness and material properties of the subglacial bed and the occurrence of water. Here we present the data set used in Eisen et al., 2020, to investigate the subglacial properties of the East Antarctic Ice Sheet by statistically analysing theroughness of the bed topography, inferred from radio-echo sounding measurements. We present two sets of roughness parameters, one derived in the spatial and the other in the spectral domain, with two roughness parameters each.From our analysis in the spectral domain, we obtain two parameters:(1) The vertical roughness ξ, which quantifies the vertical variation of the basal topography (termed br for "basal roughness" in the data files); and(2) The parameter η (eta), which is a measure for the horizontal variation of the basal topography, with high values corresponding to a dominance of long wavelengths. From the analysis in the spatial domain, we derive a second set of two parameters:(3) The RMS deviation ν (nu), also ... Dataset Antarc* Antarctic Antarctica East Antarctica Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Antarctic East Antarctic Ice Sheet East Antarctica Eta ENVELOPE(-62.917,-62.917,-64.300,-64.300) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Antarctica bedrock Radar Data radio-echo sounding Binary Object Binary Object File Size Multiple investigations |
spellingShingle |
Antarctica bedrock Radar Data radio-echo sounding Binary Object Binary Object File Size Multiple investigations Winter, Anna Eisen, Olaf Kleiner, Thomas Humbert, Angelika Steinhage, Daniel Basal roughness in East Antarctica ... |
topic_facet |
Antarctica bedrock Radar Data radio-echo sounding Binary Object Binary Object File Size Multiple investigations |
description |
We provide a data set to investigate the subglacial properties of the East Antarctic Ice Sheet by statistically analysing the roughness of the bed topography, inferred from radio-echo sounding measurements. We analyse two sets of roughness parameters, one derived in the spatial and the other in the spectral domain, with two roughness parameters each. This enables us to compare the suitability of the four roughness parameters to classify the subglacial landscapes below the ice sheet. ... : Basal motion of ice sheets depends in part on the roughness and material properties of the subglacial bed and the occurrence of water. Here we present the data set used in Eisen et al., 2020, to investigate the subglacial properties of the East Antarctic Ice Sheet by statistically analysing theroughness of the bed topography, inferred from radio-echo sounding measurements. We present two sets of roughness parameters, one derived in the spatial and the other in the spectral domain, with two roughness parameters each.From our analysis in the spectral domain, we obtain two parameters:(1) The vertical roughness ξ, which quantifies the vertical variation of the basal topography (termed br for "basal roughness" in the data files); and(2) The parameter η (eta), which is a measure for the horizontal variation of the basal topography, with high values corresponding to a dominance of long wavelengths. From the analysis in the spatial domain, we derive a second set of two parameters:(3) The RMS deviation ν (nu), also ... |
format |
Dataset |
author |
Winter, Anna Eisen, Olaf Kleiner, Thomas Humbert, Angelika Steinhage, Daniel |
author_facet |
Winter, Anna Eisen, Olaf Kleiner, Thomas Humbert, Angelika Steinhage, Daniel |
author_sort |
Winter, Anna |
title |
Basal roughness in East Antarctica ... |
title_short |
Basal roughness in East Antarctica ... |
title_full |
Basal roughness in East Antarctica ... |
title_fullStr |
Basal roughness in East Antarctica ... |
title_full_unstemmed |
Basal roughness in East Antarctica ... |
title_sort |
basal roughness in east antarctica ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.930525 https://doi.pangaea.de/10.1594/PANGAEA.930525 |
long_lat |
ENVELOPE(-62.917,-62.917,-64.300,-64.300) |
geographic |
Antarctic East Antarctic Ice Sheet East Antarctica Eta |
geographic_facet |
Antarctic East Antarctic Ice Sheet East Antarctica Eta |
genre |
Antarc* Antarctic Antarctica East Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica East Antarctica Ice Sheet |
op_relation |
https://dx.doi.org/10.1017/aog.2020.47 |
op_rights |
Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.93052510.1017/aog.2020.47 |
_version_ |
1801383969989591040 |