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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Main Authors: Pollard, Oliver, Barlow, Natasha, Gregoire, Lauren, Gomez, Natalya, Cartelle, Víctor, Ely, Jeremy, Astfalck, Lachlan
Format: Dataset
Language:English
Published: University of Leeds 2023
Subjects:
Online Access:https://dx.doi.org/10.5518/1287
https://archive.researchdata.leeds.ac.uk/1183/
id ftdatacite:10.5518/1287
record_format openpolar
spelling 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
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