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Winter, Anna; Eisen, Olaf; Kleiner, Thomas; Humbert, Angelika; Steinhage, Daniel (2021): Basal roughness in East Antarctica [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.930525

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Abstract:
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.
Keyword(s):
Antarctica; bedrock; Radar Data; radio-echo sounding
Related to:
Eisen, Olaf; Winter, Anna; Steinhage, Daniel; Kleiner, Thomas; Humbert, Angelika (2020): Basal roughness of the East Antarctic Ice Sheet in relation to flow speed and basal thermal state. Annals of Glaciology, 61(18), 162-175, https://doi.org/10.1017/aog.2020.47
Coverage:
Latitude: -80.000000 * Longitude: 80.000000
Event(s):
East_Antarctica * Latitude: -80.000000 * Longitude: 80.000000 * Method/Device: Multiple investigations (MULT)
Comment:
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 the
roughness 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 known as the Allen deviation, which is a measure of the degree of stationarity of the spatial roughness.
(4) The Hurst exponent H, which is a measure of the stationarity of the roughness characteristics as a function of length scale or its degree of fractality, with values between 0 and 1. A Hurst exponent H = 1 indicates a self-similar surface, where the roughness amplitude (e.g. RMS deviation) grows at the same rate in the vertical and horizontal dimension.
All roughness parameters are based on selected data published in the Bedmap2 data set, Bedmachine Antarctica and the upcoming Bedmap3 data set.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Binary ObjectBinaryEisen, Olaf
2Binary Object (File Size)Binary (Size)BytesEisen, Olaf
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
14 data points

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