Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography
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机载透冰雷达测量的地理空间模拟揭示了冰盖床地形的高程欠测量偏差
DOI:
10.1017/aog.2020.35
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发表时间:
2020
影响因子:
2.9
通讯作者:
Graham, Alastair G.
中科院分区:
文献类型:
--
作者:
Bartlett, Oliver T.;Palmer, Steven J.;Schroeder, Dustin M.;MacKie, Emma J.;Barrows, Timothy T.;Graham, Alastair G.
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.
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影响因子:
4
作者:
R. Bingham;M. Siegert
通讯作者:
R. Bingham;M. Siegert
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
K. Jezek;Xiaolan Wu;J. Paden;C. Leuschen
通讯作者:
C. Leuschen
DOI:
10.5194/tc-11-1247-2017
发表时间:
2017-05
期刊:
The Cryosphere
影响因子:
--
作者:
T. Jordan;M. Cooper;D. Schroeder;Christopher B. Williams;J. Paden;M. Siegert;J. Bamber
通讯作者:
T. Jordan;M. Cooper;D. Schroeder;Christopher B. Williams;J. Paden;M. Siegert;J. Bamber
影响因子:
5.2
作者:
G. Durand;O. Gagliardini;L. Favier;T. Zwinger;E. L. Meur
通讯作者:
G. Durand;O. Gagliardini;L. Favier;T. Zwinger;E. L. Meur
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
D. Schroeder;A. Romero;L. Carrer;C. Grima;B. Campbell;Wlodek Kofman;L. Bruzzone;D. Blankenship
通讯作者:
D. Blankenship