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

Abstract 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. Measureme...

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Published in:Annals of Glaciology
Main Authors: Bartlett, Oliver T., Palmer, Steven J., Schroeder, Dustin M., MacKie, Emma J., Barrows, Timothy T., Graham, Alastair G. C.
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2020
Subjects:
Online Access:http://dx.doi.org/10.1017/aog.2020.35
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S026030552000035X
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spelling crcambridgeupr:10.1017/aog.2020.35 2024-06-09T07:38:28+00:00 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. 2020 http://dx.doi.org/10.1017/aog.2020.35 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S026030552000035X en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Annals of Glaciology volume 61, issue 81, page 46-57 ISSN 0260-3055 1727-5644 journal-article 2020 crcambridgeupr https://doi.org/10.1017/aog.2020.35 2024-05-15T12:59:38Z Abstract 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. Article in Journal/Newspaper Annals of Glaciology Ice Sheet Cambridge University Press Annals of Glaciology 61 81 46 57
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
description Abstract 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.
format Article in Journal/Newspaper
author Bartlett, Oliver T.
Palmer, Steven J.
Schroeder, Dustin M.
MacKie, Emma J.
Barrows, Timothy T.
Graham, Alastair G. C.
spellingShingle 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
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
publisher Cambridge University Press (CUP)
publishDate 2020
url http://dx.doi.org/10.1017/aog.2020.35
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S026030552000035X
genre Annals of Glaciology
Ice Sheet
genre_facet Annals of Glaciology
Ice Sheet
op_source Annals of Glaciology
volume 61, issue 81, page 46-57
ISSN 0260-3055 1727-5644
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1017/aog.2020.35
container_title Annals of Glaciology
container_volume 61
container_issue 81
container_start_page 46
op_container_end_page 57
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