Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar
Abstract We present continuous estimates of snow and firn density, layer depth and accumulation from a multi-channel, multi-offset, ground-penetrating radar traverse. Our method uses the electromagnetic velocity, estimated from waveform travel-times measured at common-midpoints between sources and r...
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Cambridge University Press (CUP)
2020
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Online Access: | http://dx.doi.org/10.1017/jog.2020.91 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S002214302000091X |
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crcambridgeupr:10.1017/jog.2020.91 2024-09-15T18:09:51+00:00 Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar Meehan, Tate G. Marshall, H. P. Bradford, John H. Hawley, Robert L. Overly, Thomas B. Lewis, Gabriel Graeter, Karina Osterberg, Erich McCarthy, Forrest 2020 http://dx.doi.org/10.1017/jog.2020.91 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S002214302000091X en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Journal of Glaciology volume 67, issue 262, page 219-228 ISSN 0022-1430 1727-5652 journal-article 2020 crcambridgeupr https://doi.org/10.1017/jog.2020.91 2024-07-24T04:03:53Z Abstract We present continuous estimates of snow and firn density, layer depth and accumulation from a multi-channel, multi-offset, ground-penetrating radar traverse. Our method uses the electromagnetic velocity, estimated from waveform travel-times measured at common-midpoints between sources and receivers. Previously, common-midpoint radar experiments on ice sheets have been limited to point observations. We completed radar velocity analysis in the upper ~2 m to estimate the surface and average snow density of the Greenland Ice Sheet. We parameterized the Herron and Langway (1980) firn density and age model using the radar-derived snow density, radar-derived surface mass balance (2015–2017) and reanalysis-derived temperature data. We applied structure-oriented filtering to the radar image along constant age horizons and increased the depth at which horizons could be reliably interpreted. We reconstructed the historical instantaneous surface mass balance, which we averaged into annual and multidecadal products along a 78 km traverse for the period 1984–2017. We found good agreement between our physically constrained parameterization and a firn core collected from the dry snow accumulation zone, and gained insights into the spatial correlation of surface snow density. Article in Journal/Newspaper Greenland Ice Sheet Journal of Glaciology Cambridge University Press Journal of Glaciology 67 262 219 228 |
institution |
Open Polar |
collection |
Cambridge University Press |
op_collection_id |
crcambridgeupr |
language |
English |
description |
Abstract We present continuous estimates of snow and firn density, layer depth and accumulation from a multi-channel, multi-offset, ground-penetrating radar traverse. Our method uses the electromagnetic velocity, estimated from waveform travel-times measured at common-midpoints between sources and receivers. Previously, common-midpoint radar experiments on ice sheets have been limited to point observations. We completed radar velocity analysis in the upper ~2 m to estimate the surface and average snow density of the Greenland Ice Sheet. We parameterized the Herron and Langway (1980) firn density and age model using the radar-derived snow density, radar-derived surface mass balance (2015–2017) and reanalysis-derived temperature data. We applied structure-oriented filtering to the radar image along constant age horizons and increased the depth at which horizons could be reliably interpreted. We reconstructed the historical instantaneous surface mass balance, which we averaged into annual and multidecadal products along a 78 km traverse for the period 1984–2017. We found good agreement between our physically constrained parameterization and a firn core collected from the dry snow accumulation zone, and gained insights into the spatial correlation of surface snow density. |
format |
Article in Journal/Newspaper |
author |
Meehan, Tate G. Marshall, H. P. Bradford, John H. Hawley, Robert L. Overly, Thomas B. Lewis, Gabriel Graeter, Karina Osterberg, Erich McCarthy, Forrest |
spellingShingle |
Meehan, Tate G. Marshall, H. P. Bradford, John H. Hawley, Robert L. Overly, Thomas B. Lewis, Gabriel Graeter, Karina Osterberg, Erich McCarthy, Forrest Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar |
author_facet |
Meehan, Tate G. Marshall, H. P. Bradford, John H. Hawley, Robert L. Overly, Thomas B. Lewis, Gabriel Graeter, Karina Osterberg, Erich McCarthy, Forrest |
author_sort |
Meehan, Tate G. |
title |
Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar |
title_short |
Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar |
title_full |
Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar |
title_fullStr |
Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar |
title_full_unstemmed |
Reconstruction of historical surface mass balance, 1984–2017 from GreenTrACS multi-offset ground-penetrating radar |
title_sort |
reconstruction of historical surface mass balance, 1984–2017 from greentracs multi-offset ground-penetrating radar |
publisher |
Cambridge University Press (CUP) |
publishDate |
2020 |
url |
http://dx.doi.org/10.1017/jog.2020.91 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S002214302000091X |
genre |
Greenland Ice Sheet Journal of Glaciology |
genre_facet |
Greenland Ice Sheet Journal of Glaciology |
op_source |
Journal of Glaciology volume 67, issue 262, page 219-228 ISSN 0022-1430 1727-5652 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1017/jog.2020.91 |
container_title |
Journal of Glaciology |
container_volume |
67 |
container_issue |
262 |
container_start_page |
219 |
op_container_end_page |
228 |
_version_ |
1810447451272773632 |