Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets

Palaeo-glacial landforms can give insights into bed roughness that currently cannot be captured underneath contemporary-ice streams. A few studies have measured bed roughness of palaeo-ice streams but the bed roughness of specific landform assemblages has not been assessed. If glacial landform assem...

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Main Authors: Francesca A. M. Falcini, Maarten Krabbendam, Katherine A. Selby, David M. Rippin
Format: Article
Language:English
Published: Cambridge University Press 2022-06-01
Series:Journal of Glaciology
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S0022143021001222/type/journal_article
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author Francesca A. M. Falcini
Maarten Krabbendam
Katherine A. Selby
David M. Rippin
author_facet Francesca A. M. Falcini
Maarten Krabbendam
Katherine A. Selby
David M. Rippin
author_sort Francesca A. M. Falcini
collection DOAJ
description Palaeo-glacial landforms can give insights into bed roughness that currently cannot be captured underneath contemporary-ice streams. A few studies have measured bed roughness of palaeo-ice streams but the bed roughness of specific landform assemblages has not been assessed. If glacial landform assemblages have a characteristic bed-roughness signature, this could potentially be used to constrain where certain landform assemblages exist underneath contemporary-ice sheets. To test this, bed roughness was calculated along 5 m × 5 m resolution transects (NEXTMap DTM, 5 m resolution), which were placed over glacial landform assemblages (e.g. drumlins) in the UK. We find that a combination of total roughness and anisotropy of roughness can be used to define characteristic roughness signatures of glacial landform assemblages. The results show that different window sizes are required to determine the characteristic roughness for a wide range of landform types and to produce bed-roughness signatures of these. Mega scale glacial lineations on average have the lowest bed-roughness values and are the most anisotropic landform assemblage.
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spelling doaj.art-0767e099e34c4af58b3a26c885f4d0de2023-03-09T12:41:16ZengCambridge University PressJournal of Glaciology0022-14301727-56522022-06-016851853210.1017/jog.2021.122Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheetsFrancesca A. M. Falcini0https://orcid.org/0000-0001-8619-2637Maarten Krabbendam1Katherine A. Selby2David M. Rippin3https://orcid.org/0000-0001-7757-9880Department of Environment and Geography, Wentworth Way, University of York, York, UKBritish Geological Survey, The Lyell Centre, Research Avenue South, Edinburgh, UKDepartment of Environment and Geography, Wentworth Way, University of York, York, UKDepartment of Environment and Geography, Wentworth Way, University of York, York, UKPalaeo-glacial landforms can give insights into bed roughness that currently cannot be captured underneath contemporary-ice streams. A few studies have measured bed roughness of palaeo-ice streams but the bed roughness of specific landform assemblages has not been assessed. If glacial landform assemblages have a characteristic bed-roughness signature, this could potentially be used to constrain where certain landform assemblages exist underneath contemporary-ice sheets. To test this, bed roughness was calculated along 5 m × 5 m resolution transects (NEXTMap DTM, 5 m resolution), which were placed over glacial landform assemblages (e.g. drumlins) in the UK. We find that a combination of total roughness and anisotropy of roughness can be used to define characteristic roughness signatures of glacial landform assemblages. The results show that different window sizes are required to determine the characteristic roughness for a wide range of landform types and to produce bed-roughness signatures of these. Mega scale glacial lineations on average have the lowest bed-roughness values and are the most anisotropic landform assemblage.https://www.cambridge.org/core/product/identifier/S0022143021001222/type/journal_articleDrumlinsglacial geomorphologyremote sensing
spellingShingle Francesca A. M. Falcini
Maarten Krabbendam
Katherine A. Selby
David M. Rippin
Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets
Journal of Glaciology
Drumlins
glacial geomorphology
remote sensing
title Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets
title_full Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets
title_fullStr Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets
title_full_unstemmed Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets
title_short Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets
title_sort using bed roughness signatures to characterise glacial landform assemblages beneath palaeo ice sheets
topic Drumlins
glacial geomorphology
remote sensing
url https://www.cambridge.org/core/product/identifier/S0022143021001222/type/journal_article
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