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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Main Authors: Bartlett, Oliver T., Palmer, Steven J., Schroeder, Dustin M., MacKie, Emma J., Barrows, Timothy T., Graham, Alastair G.
Format: Article in Journal/Newspaper
Language:unknown
Published: Digital Commons @ University of South Florida 2020
Subjects:
Online Access:https://digitalcommons.usf.edu/msc_facpub/1576
https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=2528&context=msc_facpub
id ftunisfloridatam:oai:digitalcommons.usf.edu:msc_facpub-2528
record_format openpolar
spelling ftunisfloridatam:oai:digitalcommons.usf.edu:msc_facpub-2528 2023-05-15T16:21:26+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. 2020-01-01T08:00:00Z application/pdf https://digitalcommons.usf.edu/msc_facpub/1576 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=2528&context=msc_facpub unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/msc_facpub/1576 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=2528&context=msc_facpub http://creativecommons.org/licenses/by/4.0/ CC-BY Marine Science Faculty Publications Glaciological instruments and methods Greenland Ice Sheet radio-echo sounding subglacial topography Life Sciences article 2020 ftunisfloridatam 2022-01-20T18:38:49Z 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 glacier Greenland Ice Sheet Digital Commons University of South Florida (USF) Greenland
institution Open Polar
collection Digital Commons University of South Florida (USF)
op_collection_id ftunisfloridatam
language unknown
topic Glaciological instruments and methods
Greenland Ice Sheet
radio-echo sounding
subglacial topography
Life Sciences
spellingShingle Glaciological instruments and methods
Greenland Ice Sheet
radio-echo sounding
subglacial topography
Life Sciences
Bartlett, Oliver T.
Palmer, Steven J.
Schroeder, Dustin M.
MacKie, Emma J.
Barrows, Timothy T.
Graham, Alastair G.
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
Life Sciences
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 Bartlett, Oliver T.
Palmer, Steven J.
Schroeder, Dustin M.
MacKie, Emma J.
Barrows, Timothy T.
Graham, Alastair G.
author_facet Bartlett, Oliver T.
Palmer, Steven J.
Schroeder, Dustin M.
MacKie, Emma J.
Barrows, Timothy T.
Graham, Alastair G.
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 Digital Commons @ University of South Florida
publishDate 2020
url https://digitalcommons.usf.edu/msc_facpub/1576
https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=2528&context=msc_facpub
geographic Greenland
geographic_facet Greenland
genre glacier
Greenland
Ice Sheet
genre_facet glacier
Greenland
Ice Sheet
op_source Marine Science Faculty Publications
op_relation https://digitalcommons.usf.edu/msc_facpub/1576
https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=2528&context=msc_facpub
op_rights http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
_version_ 1766009433504088064