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Utilising seismic station internal GPS for tracking surging glacier sliding velocity

Wojciech Gajek Orcid Logo, Adrian Luckman Orcid Logo, William D. Harcourt Orcid Logo, Danni Mei Pearce Orcid Logo, Richard Hann Orcid Logo

Journal of Glaciology, Volume: 71, Start page: e40

Swansea University Author: Adrian Luckman Orcid Logo

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DOI (Published version): 10.1017/jog.2025.30

Abstract

Glacier ice flux is a key indicator of mass balance; therefore, accurate monitoring of ice dynamics is essential. Satellite-based methods are widely used for glacier velocity measurements but are limited by satellite revisit frequency. This study explores using seismic station internal GPS data to t...

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Published in: Journal of Glaciology
ISSN: 0022-1430 1727-5652
Published: Cambridge University Press (CUP) 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa70698
first_indexed 2025-10-16T10:48:05Z
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spelling 2025-10-16T11:50:16.3576869 v2 70698 2025-10-16 Utilising seismic station internal GPS for tracking surging glacier sliding velocity 008cb668b2671b653a88677f075799a9 0000-0002-9618-5905 Adrian Luckman Adrian Luckman true false 2025-10-16 BGPS Glacier ice flux is a key indicator of mass balance; therefore, accurate monitoring of ice dynamics is essential. Satellite-based methods are widely used for glacier velocity measurements but are limited by satellite revisit frequency. This study explores using seismic station internal GPS data to track glacier movement. While less accurate than differential GPS, this method offers high-temporal resolution as a by-product where seismic stations are deployed. Using a seismic station on Borebreen, Svalbard, we show that internal GPS provides reliable surface velocity measurements. When compared with satellite-inferred velocities, the results show a strong correlation, suggesting that the internal GPS, despite its inherent uncertainty, can serve as an efficient tool for glacier velocity monitoring. The high-temporal sampling reveals short-term dynamics of speed-up events and underscores the role of meltwater in driving these processes. This approach augments glacier observation networks at no additional cost. Journal Article Journal of Glaciology 71 e40 Cambridge University Press (CUP) 0022-1430 1727-5652 glacier flow, glacier surges, ice velocity, seismology 10 4 2025 2025-04-10 10.1017/jog.2025.30 Letter COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University Another institution paid the OA fee We acknowledge funding from the Royal Geographical Society (RGS) Walters Kundert Fellowship, a Norwegian Research Council (RCN) Arctic Field Grant, and from the Svalbard Integrated Arctic Earth Observing System (SIOS) via an access to Planet Imagery grant. 2025-10-16T11:50:16.3576869 2025-10-16T11:40:28.3653230 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Wojciech Gajek 0000-0002-8754-3440 1 Adrian Luckman 0000-0002-9618-5905 2 William D. Harcourt 0000-0003-3897-3193 3 Danni Mei Pearce 0000-0002-6889-224X 4 Richard Hann 0000-0002-0577-5812 5 70698__35358__f68c4f288df34dbf8868bc6ca80be06b.pdf 70698.VOR.pdf 2025-10-16T11:46:22.4966201 Output 2311891 application/pdf Version of Record true © The Author(s), 2025. Published by Cambridge University Press on behalf of International Glaciological Society. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (CC BY-NC-SA). true eng http://creativecommons.org/licenses/by-nc-sa/4.0
title Utilising seismic station internal GPS for tracking surging glacier sliding velocity
spellingShingle Utilising seismic station internal GPS for tracking surging glacier sliding velocity
Adrian Luckman
title_short Utilising seismic station internal GPS for tracking surging glacier sliding velocity
title_full Utilising seismic station internal GPS for tracking surging glacier sliding velocity
title_fullStr Utilising seismic station internal GPS for tracking surging glacier sliding velocity
title_full_unstemmed Utilising seismic station internal GPS for tracking surging glacier sliding velocity
title_sort Utilising seismic station internal GPS for tracking surging glacier sliding velocity
author_id_str_mv 008cb668b2671b653a88677f075799a9
author_id_fullname_str_mv 008cb668b2671b653a88677f075799a9_***_Adrian Luckman
author Adrian Luckman
author2 Wojciech Gajek
Adrian Luckman
William D. Harcourt
Danni Mei Pearce
Richard Hann
format Journal article
container_title Journal of Glaciology
container_volume 71
container_start_page e40
publishDate 2025
institution Swansea University
issn 0022-1430
1727-5652
doi_str_mv 10.1017/jog.2025.30
publisher Cambridge University Press (CUP)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
description Glacier ice flux is a key indicator of mass balance; therefore, accurate monitoring of ice dynamics is essential. Satellite-based methods are widely used for glacier velocity measurements but are limited by satellite revisit frequency. This study explores using seismic station internal GPS data to track glacier movement. While less accurate than differential GPS, this method offers high-temporal resolution as a by-product where seismic stations are deployed. Using a seismic station on Borebreen, Svalbard, we show that internal GPS provides reliable surface velocity measurements. When compared with satellite-inferred velocities, the results show a strong correlation, suggesting that the internal GPS, despite its inherent uncertainty, can serve as an efficient tool for glacier velocity monitoring. The high-temporal sampling reveals short-term dynamics of speed-up events and underscores the role of meltwater in driving these processes. This approach augments glacier observation networks at no additional cost.
published_date 2025-04-10T05:31:27Z
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