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

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 accura...

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Published in:Annals of Glaciology
Main Authors: Oliver T. Bartlett, Steven J. Palmer, Dustin M. Schroeder, Emma J. MacKie, Timothy T. Barrows, Alastair G. C. Graham
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2020
Subjects:
Online Access:https://doi.org/10.1017/aog.2020.35
https://doaj.org/article/429e3d0e634345638764827fdf8398be
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spelling ftdoajarticles:oai:doaj.org/article:429e3d0e634345638764827fdf8398be 2023-05-15T13:29:29+02:00 Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography Oliver T. Bartlett Steven J. Palmer Dustin M. Schroeder Emma J. MacKie Timothy T. Barrows Alastair G. C. Graham 2020-04-01T00:00:00Z https://doi.org/10.1017/aog.2020.35 https://doaj.org/article/429e3d0e634345638764827fdf8398be EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S026030552000035X/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2020.35 0260-3055 1727-5644 https://doaj.org/article/429e3d0e634345638764827fdf8398be Annals of Glaciology, Vol 61, Pp 46-57 (2020) Glaciological instruments and methods Greenland Ice Sheet radio-echo sounding subglacial topography Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.1017/aog.2020.35 2023-03-12T01:31:55Z 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 glacier Greenland Ice Sheet Directory of Open Access Journals: DOAJ Articles Greenland Annals of Glaciology 61 81 46 57
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Glaciological instruments and methods
Greenland Ice Sheet
radio-echo sounding
subglacial topography
Meteorology. Climatology
QC851-999
spellingShingle Glaciological instruments and methods
Greenland Ice Sheet
radio-echo sounding
subglacial topography
Meteorology. Climatology
QC851-999
Oliver T. Bartlett
Steven J. Palmer
Dustin M. Schroeder
Emma J. MacKie
Timothy T. Barrows
Alastair G. C. Graham
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
Meteorology. Climatology
QC851-999
description 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 Oliver T. Bartlett
Steven J. Palmer
Dustin M. Schroeder
Emma J. MacKie
Timothy T. Barrows
Alastair G. C. Graham
author_facet Oliver T. Bartlett
Steven J. Palmer
Dustin M. Schroeder
Emma J. MacKie
Timothy T. Barrows
Alastair G. C. Graham
author_sort Oliver T. Bartlett
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
publishDate 2020
url https://doi.org/10.1017/aog.2020.35
https://doaj.org/article/429e3d0e634345638764827fdf8398be
geographic Greenland
geographic_facet Greenland
genre Annals of Glaciology
glacier
Greenland
Ice Sheet
genre_facet Annals of Glaciology
glacier
Greenland
Ice Sheet
op_source Annals of Glaciology, Vol 61, Pp 46-57 (2020)
op_relation https://www.cambridge.org/core/product/identifier/S026030552000035X/type/journal_article
https://doaj.org/toc/0260-3055
https://doaj.org/toc/1727-5644
doi:10.1017/aog.2020.35
0260-3055
1727-5644
https://doaj.org/article/429e3d0e634345638764827fdf8398be
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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