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dc.contributor.authorMarschalek, JW
dc.contributor.authorGasson, E
dc.contributor.authorvan de Flierdt, T
dc.contributor.authorHillenbrand, C-D
dc.contributor.authorSiegert, MJ
dc.contributor.authorHolder, L
dc.date.accessioned2025-03-13T11:32:43Z
dc.date.issued2025-03-12
dc.date.updated2025-03-13T09:43:53Z
dc.description.abstractIce sheet models should be able to accurately simulate palaeo ice sheets to have confidence in their projections of future polar ice sheet mass loss and resulting global sea level rise. This requires accurate reconstructions of the extent and flow patterns of palaeo ice sheets using real-world data. Such reconstructions can be achieved by tracing the detrital components of offshore sedimentary records back to their source areas on land. For Antarctica, however, sediment provenance data and ice sheet model results have not been directly linked, despite the complementary information each can provide on the other. Here, we present a computational framework (Tracing Antarctic Sediment Provenance, TASP) that predicts marine geochemical sediment provenance data using the output of numerical ice sheet modelling. The ice sheet model is used to estimate the spatial pattern of erosion potential and to trace ice flow pathways. Beyond the ice sheet margin, approximations of modern detrital particle transport mechanisms using ocean reanalysis data produce a good agreement between our predictions for the modern ice sheet–ocean system and seabed surface sediments. These results show that the algorithm could be used to predict the provenance signature of past ice sheet configurations. TASP currently predicts neodymium isotope compositions using the PSUICE3D ice sheet model, but thanks to its design it could be adapted to predict other provenance indicators or use the outputs of other ice sheet models.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.format.extent1673-1708
dc.identifier.citationVol. 18(5), pp. 1673-1708en_GB
dc.identifier.doihttps://doi.org/10.5194/gmd-18-1673-2025
dc.identifier.grantnumberNE/L002515/1en_GB
dc.identifier.grantnumberNE/R018219/1en_GB
dc.identifier.grantnumberNE/W000172/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/140616
dc.language.isoenen_GB
dc.publisherEuropean Geosciences Union / Copernicus Publicationsen_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.11449956en_GB
dc.relation.urlhttps://doi.org/10.6075/J04Q7SHTen_GB
dc.relation.urlhttps://doi.org/10.24381/cds.67e8eeb7en_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.7548284en_GB
dc.rights© Author(s) 2025. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.en_GB
dc.titleQuantitative sub-ice and marine tracing of Antarctic sediment provenance (TASP v1.0)en_GB
dc.typeArticleen_GB
dc.date.available2025-03-13T11:32:43Z
dc.descriptionThis is the final version. Available on open access from the European Geosciences Union via the DOI in this recorden_GB
dc.descriptionCode and data availability: The TASP code is available under a GPLv3 licence. The version of TASP used to produce the results in this paper was run using MATLAB version R2022a and is archived on Zenodo (Marschalek, 2023; https://doi.org/10.5281/zenodo.11449956). An example ice sheet model output used to produce the results in this paper is also available in the TASP repository (DeConto et al., 2021). The sub-ice shelf melt rate data can be found at the following DOI: https://doi.org/10.6075/J04Q7SHT (Adusumilli et al., 2020). The ORAS5 ocean reanalysis product files used (velocity and sea surface temperature) can be downloaded from the following DOI: https://doi.org/10.24381/cds.67e8eeb7 (Copernicus Climate Data Store, 2021). As these are published datasets, it is not appropriate to copy these data in our TASP repository as it could lead to confusion about the original source of the data. However, the files are freely accessible in these archives or can be provided by the corresponding author upon request. The new neodymium isotope data published here are available from the following DOI: https://doi.org/10.5281/zenodo.7548284 (Holder and Marschalek, 2023).en_GB
dc.identifier.eissn1991-9603
dc.identifier.journalGeoscientific Model Developmenten_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_GB
dcterms.dateAccepted2024-12-03
dcterms.dateSubmitted2024-06-04
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2025-03-12
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2025-03-13T11:29:16Z
refterms.versionFCDVoR
refterms.dateFOA2025-03-13T11:32:47Z
refterms.panelBen_GB
refterms.dateFirstOnline2025-03-12
exeter.rights-retention-statementNo


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© Author(s) 2025. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's licence is described as © Author(s) 2025. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.