Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) ...
The North Sea Last Interglacial sea level is sensitive to the fingerprint of mass loss from polar ice sheets. However, the signal is complicated by the influence of glacial isostatic adjustment driven by Penultimate Glacial Period ice-sheet changes, and yet these ice-sheet geometries remain signific...
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University of Leeds
2023
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Online Access: | https://dx.doi.org/10.5518/1287 https://archive.researchdata.leeds.ac.uk/1183/ |
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ftdatacite:10.5518/1287 2023-12-31T10:07:58+01:00 Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) ... Pollard, Oliver Barlow, Natasha Gregoire, Lauren Gomez, Natalya Cartelle, Víctor Ely, Jeremy Astfalck, Lachlan 2023 https://dx.doi.org/10.5518/1287 https://archive.researchdata.leeds.ac.uk/1183/ en eng University of Leeds https://dx.doi.org/https://doi.org/10.5194/tc-2023-5 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 FOS Physical sciences Geophysics FOS Earth and related environmental sciences Dataset dataset 2023 ftdatacite https://doi.org/10.5518/1287https://doi.org/10.5194/tc-2023-5 2023-12-01T10:41:27Z The North Sea Last Interglacial sea level is sensitive to the fingerprint of mass loss from polar ice sheets. However, the signal is complicated by the influence of glacial isostatic adjustment driven by Penultimate Glacial Period ice-sheet changes, and yet these ice-sheet geometries remain significantly uncertain. Here, we produce new reconstructions of the Eurasian ice sheet during the Penultimate Glacial Maximum by employing large ensemble experiments from a simple ice-sheet model that depends solely on basal sheer stress, ice extent, and topography. To explore the range of uncertainty in possible ice geometries, we use a parameterised shear-stress map as input that has been developed to incorporate bedrock characteristics and the influence of ice-sheet basal processes. We perform Bayesian uncertainty quantification, utilising Gaussian Process emulation, to calibrate against global ice-sheet reconstructions of the last deglaciation and rule out combinations of input parameters that produce unrealistic ice ... Dataset Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
FOS Physical sciences Geophysics FOS Earth and related environmental sciences |
spellingShingle |
FOS Physical sciences Geophysics FOS Earth and related environmental sciences Pollard, Oliver Barlow, Natasha Gregoire, Lauren Gomez, Natalya Cartelle, Víctor Ely, Jeremy Astfalck, Lachlan Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) ... |
topic_facet |
FOS Physical sciences Geophysics FOS Earth and related environmental sciences |
description |
The North Sea Last Interglacial sea level is sensitive to the fingerprint of mass loss from polar ice sheets. However, the signal is complicated by the influence of glacial isostatic adjustment driven by Penultimate Glacial Period ice-sheet changes, and yet these ice-sheet geometries remain significantly uncertain. Here, we produce new reconstructions of the Eurasian ice sheet during the Penultimate Glacial Maximum by employing large ensemble experiments from a simple ice-sheet model that depends solely on basal sheer stress, ice extent, and topography. To explore the range of uncertainty in possible ice geometries, we use a parameterised shear-stress map as input that has been developed to incorporate bedrock characteristics and the influence of ice-sheet basal processes. We perform Bayesian uncertainty quantification, utilising Gaussian Process emulation, to calibrate against global ice-sheet reconstructions of the last deglaciation and rule out combinations of input parameters that produce unrealistic ice ... |
format |
Dataset |
author |
Pollard, Oliver Barlow, Natasha Gregoire, Lauren Gomez, Natalya Cartelle, Víctor Ely, Jeremy Astfalck, Lachlan |
author_facet |
Pollard, Oliver Barlow, Natasha Gregoire, Lauren Gomez, Natalya Cartelle, Víctor Ely, Jeremy Astfalck, Lachlan |
author_sort |
Pollard, Oliver |
title |
Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) ... |
title_short |
Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) ... |
title_full |
Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) ... |
title_fullStr |
Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) ... |
title_full_unstemmed |
Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) ... |
title_sort |
dataset from: quantifying the uncertainty in the eurasian ice-sheet geometry at the penultimate glacial maximum (marine isotope stage 6) ... |
publisher |
University of Leeds |
publishDate |
2023 |
url |
https://dx.doi.org/10.5518/1287 https://archive.researchdata.leeds.ac.uk/1183/ |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
https://dx.doi.org/https://doi.org/10.5194/tc-2023-5 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5518/1287https://doi.org/10.5194/tc-2023-5 |
_version_ |
1786840520891301888 |