Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography

© The Author(s), 2020. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/). Airborne radio-echo sounding (RES) surveys are widely used to measure ice-sheet bed t...

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Main Authors: Bartlett, Oliver T., Palmer, Steven J., Schroeder, Dustin M., Mackie, Emma J., Barrows, Timothy T., Graham, Alastair G.C.
Other Authors: Department of Psychology, Sport and Geography, School of Life and Medical Sciences, Agriculture and Environmental Management Research, Agriculture, Food and Veterinary Sciences
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/2299/24388
http://www.scopus.com/inward/record.url?scp=85082112730&partnerID=8YFLogxK
id ftunivhertford:oai:uhra.herts.ac.uk:2299/24388
record_format openpolar
spelling ftunivhertford:oai:uhra.herts.ac.uk:2299/24388 2023-05-15T13:29:38+02:00 Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography Bartlett, Oliver T. Palmer, Steven J. Schroeder, Dustin M. Mackie, Emma J. Barrows, Timothy T. Graham, Alastair G.C. Department of Psychology, Sport and Geography School of Life and Medical Sciences Agriculture and Environmental Management Research Agriculture, Food and Veterinary Sciences 2021-04-01 12 http://hdl.handle.net/2299/24388 http://www.scopus.com/inward/record.url?scp=85082112730&partnerID=8YFLogxK eng eng Annals of Glaciology School of Life and Medical Sciences Bartlett , O T , Palmer , S J , Schroeder , D M , Mackie , E J , Barrows , T T & Graham , A G C 2021 , ' Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography ' , Annals of Glaciology , vol. 61 , no. 81 , pp. 46-57 . https://doi.org/10.1017/aog.2020.35 0260-3055 PURE: 25060778 PURE UUID: ff7beb31-b411-44c8-a196-c14a5a3bc72b Scopus: 85082112730 ORCID: /0000-0002-0347-7926/work/93471292 http://hdl.handle.net/2299/24388 http://www.scopus.com/inward/record.url?scp=85082112730&partnerID=8YFLogxK Open Glaciological instruments and methods Greenland Ice Sheet radio-echo sounding subglacial topography Earth-Surface Processes 2021 ftunivhertford 2022-01-14T00:01:05Z © The Author(s), 2020. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/). Airborne radio-echo sounding (RES) surveys are widely used to measure ice-sheet bed topography. Measuring bed topography as accurately and widely as possible is of critical importance to modelling ice dynamics and hence to constraining better future ice response to climate change. Measurement accuracy of RES surveys is influenced both by the geometry of bed topography and the survey design. Here we develop a novel approach for simulating RES surveys over glaciated terrain, to quantify the sensitivity of derived bed elevation to topographic geometry. Furthermore, we investigate how measurement errors influence the quantification of glacial valley geometry. We find a negative bias across RES measurements, where off-nadir return measurement error is typically -1.8 ± 11.6 m. Topographic highlands are under-measured an order of magnitude more than lowlands. Consequently, valley depth and cross-sectional area are largely under-estimated. While overall estimates of ice thickness are likely too high, we find large glacier valley cross-sectional area to be under-estimated by -2.8 ± 18.1%. Therefore, estimates of ice flux through large outlet glaciers are likely too low when this effect is not taken into account. Additionally, bed mismeasurements potentially impact our appreciation of outlet-glacier stability. Peer reviewed Final Published version Other/Unknown Material Annals of Glaciology glacier Greenland Ice Sheet University of Hertfordshire: UH Research Archive Greenland
institution Open Polar
collection University of Hertfordshire: UH Research Archive
op_collection_id ftunivhertford
language English
topic Glaciological instruments and methods
Greenland Ice Sheet
radio-echo sounding
subglacial topography
Earth-Surface Processes
spellingShingle Glaciological instruments and methods
Greenland Ice Sheet
radio-echo sounding
subglacial topography
Earth-Surface Processes
Bartlett, Oliver T.
Palmer, Steven J.
Schroeder, Dustin M.
Mackie, Emma J.
Barrows, Timothy T.
Graham, Alastair G.C.
Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
topic_facet Glaciological instruments and methods
Greenland Ice Sheet
radio-echo sounding
subglacial topography
Earth-Surface Processes
description © The Author(s), 2020. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/). Airborne radio-echo sounding (RES) surveys are widely used to measure ice-sheet bed topography. Measuring bed topography as accurately and widely as possible is of critical importance to modelling ice dynamics and hence to constraining better future ice response to climate change. Measurement accuracy of RES surveys is influenced both by the geometry of bed topography and the survey design. Here we develop a novel approach for simulating RES surveys over glaciated terrain, to quantify the sensitivity of derived bed elevation to topographic geometry. Furthermore, we investigate how measurement errors influence the quantification of glacial valley geometry. We find a negative bias across RES measurements, where off-nadir return measurement error is typically -1.8 ± 11.6 m. Topographic highlands are under-measured an order of magnitude more than lowlands. Consequently, valley depth and cross-sectional area are largely under-estimated. While overall estimates of ice thickness are likely too high, we find large glacier valley cross-sectional area to be under-estimated by -2.8 ± 18.1%. Therefore, estimates of ice flux through large outlet glaciers are likely too low when this effect is not taken into account. Additionally, bed mismeasurements potentially impact our appreciation of outlet-glacier stability. Peer reviewed Final Published version
author2 Department of Psychology, Sport and Geography
School of Life and Medical Sciences
Agriculture and Environmental Management Research
Agriculture, Food and Veterinary Sciences
author Bartlett, Oliver T.
Palmer, Steven J.
Schroeder, Dustin M.
Mackie, Emma J.
Barrows, Timothy T.
Graham, Alastair G.C.
author_facet Bartlett, Oliver T.
Palmer, Steven J.
Schroeder, Dustin M.
Mackie, Emma J.
Barrows, Timothy T.
Graham, Alastair G.C.
author_sort Bartlett, Oliver T.
title Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
title_short Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
title_full Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
title_fullStr Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
title_full_unstemmed Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
title_sort geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
publishDate 2021
url http://hdl.handle.net/2299/24388
http://www.scopus.com/inward/record.url?scp=85082112730&partnerID=8YFLogxK
geographic Greenland
geographic_facet Greenland
genre Annals of Glaciology
glacier
Greenland
Ice Sheet
genre_facet Annals of Glaciology
glacier
Greenland
Ice Sheet
op_relation Annals of Glaciology
School of Life and Medical Sciences
Bartlett , O T , Palmer , S J , Schroeder , D M , Mackie , E J , Barrows , T T & Graham , A G C 2021 , ' Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography ' , Annals of Glaciology , vol. 61 , no. 81 , pp. 46-57 . https://doi.org/10.1017/aog.2020.35
0260-3055
PURE: 25060778
PURE UUID: ff7beb31-b411-44c8-a196-c14a5a3bc72b
Scopus: 85082112730
ORCID: /0000-0002-0347-7926/work/93471292
http://hdl.handle.net/2299/24388
http://www.scopus.com/inward/record.url?scp=85082112730&partnerID=8YFLogxK
op_rights Open
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