New glacier thickness and bed topography maps for Svalbard

<p>Knowledge of the thickness, volume, and subglacial topography of glaciers is crucial for a range of glaciological, hydrological, and societal issues, including studies on climate-warming-induced glacier retreat and associated sea level rise. This is not in the least true for Svalbard, one o...

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Main Authors: W. van Pelt, T. Frank
Format: Article
Language:English
Published: Copernicus Publications 2025-01-01
Series:The Cryosphere
Online Access:https://tc.copernicus.org/articles/19/1/2025/tc-19-1-2025.pdf
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author W. van Pelt
T. Frank
author_facet W. van Pelt
T. Frank
author_sort W. van Pelt
collection DOAJ
description <p>Knowledge of the thickness, volume, and subglacial topography of glaciers is crucial for a range of glaciological, hydrological, and societal issues, including studies on climate-warming-induced glacier retreat and associated sea level rise. This is not in the least true for Svalbard, one of the fastest-warming places in the world. Here, we present new maps of the ice thickness and subglacial topography for every glacier on Svalbard. Using remotely sensed observations of surface height, ice velocity, rate of surface elevation change, and glacier boundaries in combination with a modelled mass balance product, we apply an inverse method that leverages state-of-the-art ice flow models to obtain the shape of the glacier bed. Specifically, we model large glaciers with the Parallel Ice Sheet Model (PISM) at 500 m resolution, while we resolve smaller mountain glaciers at 100 m resolution using the physics-informed deep-learning-based Instructed Glacier Model (IGM). Actively surging glaciers are modelled using a perfect-plasticity model. We find a total glacier volume (excluding the island Kvitøya) of 6800 <span class="inline-formula">±</span> 238 km<span class="inline-formula"><sup>3</sup></span>, corresponding to 16.3 <span class="inline-formula">±</span> 0.6 mm sea level equivalent. Validation against thickness observations shows high statistical agreement, and the combination of the three methods is found to reduce uncertainties. We discuss the remaining sources of errors, differences from previous ice thickness maps of the region, and future applications of our results.</p>
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institution Kabale University
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publishDate 2025-01-01
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spelling doaj-art-cad864ff37874df99bcd8a9957075baf2025-01-07T09:37:14ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242025-01-011911710.5194/tc-19-1-2025New glacier thickness and bed topography maps for SvalbardW. van Pelt0T. Frank1Department of Earth Sciences, Uppsala University, Uppsala, SwedenDepartment of Earth Sciences, Uppsala University, Uppsala, Sweden<p>Knowledge of the thickness, volume, and subglacial topography of glaciers is crucial for a range of glaciological, hydrological, and societal issues, including studies on climate-warming-induced glacier retreat and associated sea level rise. This is not in the least true for Svalbard, one of the fastest-warming places in the world. Here, we present new maps of the ice thickness and subglacial topography for every glacier on Svalbard. Using remotely sensed observations of surface height, ice velocity, rate of surface elevation change, and glacier boundaries in combination with a modelled mass balance product, we apply an inverse method that leverages state-of-the-art ice flow models to obtain the shape of the glacier bed. Specifically, we model large glaciers with the Parallel Ice Sheet Model (PISM) at 500 m resolution, while we resolve smaller mountain glaciers at 100 m resolution using the physics-informed deep-learning-based Instructed Glacier Model (IGM). Actively surging glaciers are modelled using a perfect-plasticity model. We find a total glacier volume (excluding the island Kvitøya) of 6800 <span class="inline-formula">±</span> 238 km<span class="inline-formula"><sup>3</sup></span>, corresponding to 16.3 <span class="inline-formula">±</span> 0.6 mm sea level equivalent. Validation against thickness observations shows high statistical agreement, and the combination of the three methods is found to reduce uncertainties. We discuss the remaining sources of errors, differences from previous ice thickness maps of the region, and future applications of our results.</p>https://tc.copernicus.org/articles/19/1/2025/tc-19-1-2025.pdf
spellingShingle W. van Pelt
T. Frank
New glacier thickness and bed topography maps for Svalbard
The Cryosphere
title New glacier thickness and bed topography maps for Svalbard
title_full New glacier thickness and bed topography maps for Svalbard
title_fullStr New glacier thickness and bed topography maps for Svalbard
title_full_unstemmed New glacier thickness and bed topography maps for Svalbard
title_short New glacier thickness and bed topography maps for Svalbard
title_sort new glacier thickness and bed topography maps for svalbard
url https://tc.copernicus.org/articles/19/1/2025/tc-19-1-2025.pdf
work_keys_str_mv AT wvanpelt newglacierthicknessandbedtopographymapsforsvalbard
AT tfrank newglacierthicknessandbedtopographymapsforsvalbard