New glacier thickness and bed topography maps for Svalbard

dc.contributor.authorvan Pelt, Ward
dc.contributor.authorFrank, Thomas
dc.date.accessioned2025-10-29T19:15:02Z
dc.date.issued2025-01-07
dc.description.abstractKnowledge 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 ± 238 km³, corresponding to 16.3 ± 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.
dc.description.sponsorshipWard van Pelt received funding from a career grant by the Swedish National Space Agency (2018-C; project no. 189/18) and a starting grant from the Swedish Research Council project no. 2020-04319). Development of PISM is supported by NASA (grant nos. 20-CRYO2020-0052 and 80NSSC22K0274) and NSF (grant no. OAC-2118285). The computations were enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) at Chalmers partially funded by the Swedish Research Council (grant no. 2022-06725). The publication of this article was funded by the Swedish Research Council, Forte, Formas, and Vinnova
dc.description.urihttps://tc.copernicus.org/articles/19/1/2025/
dc.format.extent17 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2fxyz-eq1f
dc.identifier.citationPelt, Ward van, and Thomas Frank. “New Glacier Thickness and Bed Topography Maps for Svalbard.” The Cryosphere 19, no. 1 (2025): 1–17. https://doi.org/10.5194/tc-19-1-2025.
dc.identifier.urihttps://doi.org/10.5194/tc-19-1-2025
dc.identifier.urihttp://hdl.handle.net/11603/40711
dc.language.isoen
dc.publisherEGU
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofiHARP NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleNew glacier thickness and bed topography maps for Svalbard
dc.typeText

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