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...
id |
ftleedsunivrd:oai:archive.researchdata.leeds.ac.uk:1183 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Research Data Leeds Repository (University of Leeds) |
op_collection_id |
ftleedsunivrd |
language |
English |
topic |
F660 - Geophysics |
spellingShingle |
F660 - Geophysics Pollard, Oliver G. Barlow, Natasha L.M. Gregoire, Lauren Gomez, Natalya Cartelle, Victor Ely, Jeremy C. Astfalck, Lachlan C. Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) |
topic_facet |
F660 - Geophysics |
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 sheets. The refined parameter space is then applied to the Penultimate Glacial Maximum to create an ensemble of constrained 3D Eurasian ice-sheet geometries. Our reconstructed Penultimate Glacial Maximum Eurasian ice-sheet volume is 48 ± 8 m sle. We find that the Barents-Kara Sea region displays both the largest mean volume and volume uncertainty of 24 ± 8 m sle while the British-Irish sector’s volume of 1.7 ± 0.2 m sle is smallest. Our new workflow may be applied to other locations and periods where ice-sheet histories have limited empirical data. |
format |
Dataset |
author |
Pollard, Oliver G. Barlow, Natasha L.M. Gregoire, Lauren Gomez, Natalya Cartelle, Victor Ely, Jeremy C. Astfalck, Lachlan C. |
author_facet |
Pollard, Oliver G. Barlow, Natasha L.M. Gregoire, Lauren Gomez, Natalya Cartelle, Victor Ely, Jeremy C. Astfalck, Lachlan C. |
author_sort |
Pollard, Oliver G. |
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://archive.researchdata.leeds.ac.uk/1183/ https://archive.researchdata.leeds.ac.uk/1183/1/ld_glac1d.nc.zip https://archive.researchdata.leeds.ac.uk/1183/2/ld_ice6g.nc.zip https://archive.researchdata.leeds.ac.uk/1183/3/pgm_topo0.nc.zip https://archive.researchdata.leeds.ac.uk/1183/4/pgm_topo1.nc.zip https://archive.researchdata.leeds.ac.uk/1183/5/ld_glac1d_margins.zip https://archive.researchdata.leeds.ac.uk/1183/6/ld_glac1d_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/7/ld_glac1d_topography.zip https://archive.researchdata.leeds.ac.uk/1183/8/ld_ice6g_margins.zip https://archive.researchdata.leeds.ac.uk/1183/9/ld_ice6g_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/10/ld_ice6g_topography.zip https://archive.researchdata.leeds.ac.uk/1183/11/pgm_margins.zip https://archive.researchdata.leeds.ac.uk/1183/12/pgm_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/13/pgm_topography.zip https://archive.researchdata.leeds.ac.uk/1183/14/shear_stress_map.zip https://archive.researchdata.leeds.ac.uk/1183/15/param_samples.zip https://archive.researchdata.leeds.ac.uk/1183/16/ld_implausibility.nc.zip https://archive.researchdata.leeds.ac.uk/1183/17/ld_masks.nc.zip https://archive.researchdata.leeds.ac.uk/1183/18/ld_metrics.nc.zip https://archive.researchdata.leeds.ac.uk/1183/19/ld_optical_panels.nc.zip https://archive.researchdata.leeds.ac.uk/1183/20/ld_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/21/ld_predict_regions.nc.zip https://archive.researchdata.leeds.ac.uk/1183/22/pgm_implausibility.nc.zip https://archive.researchdata.leeds.ac.uk/1183/23/pgm_metrics.nc.zip https://archive.researchdata.leeds.ac.uk/1183/24/pgm_mod_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/25/pgm_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/26/ld_glac1d.zip https://archive.researchdata.leeds.ac.uk/1183/27/ld_ice6g.zip |
geographic |
Kara Sea |
geographic_facet |
Kara Sea |
genre |
Ice Sheet Kara Sea |
genre_facet |
Ice Sheet Kara Sea |
op_relation |
https://archive.researchdata.leeds.ac.uk/1183/1/ld_glac1d.nc.zip https://archive.researchdata.leeds.ac.uk/1183/2/ld_ice6g.nc.zip https://archive.researchdata.leeds.ac.uk/1183/3/pgm_topo0.nc.zip https://archive.researchdata.leeds.ac.uk/1183/4/pgm_topo1.nc.zip https://archive.researchdata.leeds.ac.uk/1183/5/ld_glac1d_margins.zip https://archive.researchdata.leeds.ac.uk/1183/6/ld_glac1d_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/7/ld_glac1d_topography.zip https://archive.researchdata.leeds.ac.uk/1183/8/ld_ice6g_margins.zip https://archive.researchdata.leeds.ac.uk/1183/9/ld_ice6g_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/10/ld_ice6g_topography.zip https://archive.researchdata.leeds.ac.uk/1183/11/pgm_margins.zip https://archive.researchdata.leeds.ac.uk/1183/12/pgm_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/13/pgm_topography.zip https://archive.researchdata.leeds.ac.uk/1183/14/shear_stress_map.zip https://archive.researchdata.leeds.ac.uk/1183/15/param_samples.zip https://archive.researchdata.leeds.ac.uk/1183/16/ld_implausibility.nc.zip https://archive.researchdata.leeds.ac.uk/1183/17/ld_masks.nc.zip https://archive.researchdata.leeds.ac.uk/1183/18/ld_metrics.nc.zip https://archive.researchdata.leeds.ac.uk/1183/19/ld_optical_panels.nc.zip https://archive.researchdata.leeds.ac.uk/1183/20/ld_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/21/ld_predict_regions.nc.zip https://archive.researchdata.leeds.ac.uk/1183/22/pgm_implausibility.nc.zip https://archive.researchdata.leeds.ac.uk/1183/23/pgm_metrics.nc.zip https://archive.researchdata.leeds.ac.uk/1183/24/pgm_mod_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/25/pgm_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/26/ld_glac1d.zip https://archive.researchdata.leeds.ac.uk/1183/27/ld_ice6g.zip Pollard, Oliver G. and Barlow, Natasha L.M. and Gregoire, Lauren and Gomez, Natalya and Cartelle, Victor and Ely, Jeremy C. and Astfalck, Lachlan C. (2023) Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6). [Dataset] |
op_rights |
cc_by_v4_0 |
_version_ |
1802645537571209216 |
spelling |
ftleedsunivrd:oai:archive.researchdata.leeds.ac.uk:1183 2024-06-23T07:53:44+00:00 Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) Pollard, Oliver G. Barlow, Natasha L.M. Gregoire, Lauren Gomez, Natalya Cartelle, Victor Ely, Jeremy C. Astfalck, Lachlan C. 2023 archive https://archive.researchdata.leeds.ac.uk/1183/ https://archive.researchdata.leeds.ac.uk/1183/1/ld_glac1d.nc.zip https://archive.researchdata.leeds.ac.uk/1183/2/ld_ice6g.nc.zip https://archive.researchdata.leeds.ac.uk/1183/3/pgm_topo0.nc.zip https://archive.researchdata.leeds.ac.uk/1183/4/pgm_topo1.nc.zip https://archive.researchdata.leeds.ac.uk/1183/5/ld_glac1d_margins.zip https://archive.researchdata.leeds.ac.uk/1183/6/ld_glac1d_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/7/ld_glac1d_topography.zip https://archive.researchdata.leeds.ac.uk/1183/8/ld_ice6g_margins.zip https://archive.researchdata.leeds.ac.uk/1183/9/ld_ice6g_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/10/ld_ice6g_topography.zip https://archive.researchdata.leeds.ac.uk/1183/11/pgm_margins.zip https://archive.researchdata.leeds.ac.uk/1183/12/pgm_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/13/pgm_topography.zip https://archive.researchdata.leeds.ac.uk/1183/14/shear_stress_map.zip https://archive.researchdata.leeds.ac.uk/1183/15/param_samples.zip https://archive.researchdata.leeds.ac.uk/1183/16/ld_implausibility.nc.zip https://archive.researchdata.leeds.ac.uk/1183/17/ld_masks.nc.zip https://archive.researchdata.leeds.ac.uk/1183/18/ld_metrics.nc.zip https://archive.researchdata.leeds.ac.uk/1183/19/ld_optical_panels.nc.zip https://archive.researchdata.leeds.ac.uk/1183/20/ld_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/21/ld_predict_regions.nc.zip https://archive.researchdata.leeds.ac.uk/1183/22/pgm_implausibility.nc.zip https://archive.researchdata.leeds.ac.uk/1183/23/pgm_metrics.nc.zip https://archive.researchdata.leeds.ac.uk/1183/24/pgm_mod_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/25/pgm_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/26/ld_glac1d.zip https://archive.researchdata.leeds.ac.uk/1183/27/ld_ice6g.zip en eng University of Leeds https://archive.researchdata.leeds.ac.uk/1183/1/ld_glac1d.nc.zip https://archive.researchdata.leeds.ac.uk/1183/2/ld_ice6g.nc.zip https://archive.researchdata.leeds.ac.uk/1183/3/pgm_topo0.nc.zip https://archive.researchdata.leeds.ac.uk/1183/4/pgm_topo1.nc.zip https://archive.researchdata.leeds.ac.uk/1183/5/ld_glac1d_margins.zip https://archive.researchdata.leeds.ac.uk/1183/6/ld_glac1d_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/7/ld_glac1d_topography.zip https://archive.researchdata.leeds.ac.uk/1183/8/ld_ice6g_margins.zip https://archive.researchdata.leeds.ac.uk/1183/9/ld_ice6g_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/10/ld_ice6g_topography.zip https://archive.researchdata.leeds.ac.uk/1183/11/pgm_margins.zip https://archive.researchdata.leeds.ac.uk/1183/12/pgm_shearstress.zip https://archive.researchdata.leeds.ac.uk/1183/13/pgm_topography.zip https://archive.researchdata.leeds.ac.uk/1183/14/shear_stress_map.zip https://archive.researchdata.leeds.ac.uk/1183/15/param_samples.zip https://archive.researchdata.leeds.ac.uk/1183/16/ld_implausibility.nc.zip https://archive.researchdata.leeds.ac.uk/1183/17/ld_masks.nc.zip https://archive.researchdata.leeds.ac.uk/1183/18/ld_metrics.nc.zip https://archive.researchdata.leeds.ac.uk/1183/19/ld_optical_panels.nc.zip https://archive.researchdata.leeds.ac.uk/1183/20/ld_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/21/ld_predict_regions.nc.zip https://archive.researchdata.leeds.ac.uk/1183/22/pgm_implausibility.nc.zip https://archive.researchdata.leeds.ac.uk/1183/23/pgm_metrics.nc.zip https://archive.researchdata.leeds.ac.uk/1183/24/pgm_mod_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/25/pgm_predict.nc.zip https://archive.researchdata.leeds.ac.uk/1183/26/ld_glac1d.zip https://archive.researchdata.leeds.ac.uk/1183/27/ld_ice6g.zip Pollard, Oliver G. and Barlow, Natasha L.M. and Gregoire, Lauren and Gomez, Natalya and Cartelle, Victor and Ely, Jeremy C. and Astfalck, Lachlan C. (2023) Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6). [Dataset] cc_by_v4_0 F660 - Geophysics Dataset 2023 ftleedsunivrd 2024-05-27T23:37:42Z 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 sheets. The refined parameter space is then applied to the Penultimate Glacial Maximum to create an ensemble of constrained 3D Eurasian ice-sheet geometries. Our reconstructed Penultimate Glacial Maximum Eurasian ice-sheet volume is 48 ± 8 m sle. We find that the Barents-Kara Sea region displays both the largest mean volume and volume uncertainty of 24 ± 8 m sle while the British-Irish sector’s volume of 1.7 ± 0.2 m sle is smallest. Our new workflow may be applied to other locations and periods where ice-sheet histories have limited empirical data. Dataset Ice Sheet Kara Sea Research Data Leeds Repository (University of Leeds) Kara Sea |