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Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6)
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). University of Leeds. [Dataset] https://doi.org/10.5518/1287
Dataset 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.
| Subjects: | F000 - Physical sciences > F600 - Geology > F660 - Geophysics | ||||
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| Divisions: | Faculty of Environment > School of Earth and Environment | ||||
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| License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||
| Date deposited: | 05 Nov 2023 21:05 | ||||
| URI: | http://archive.researchdata.leeds.ac.uk/id/eprint/1183 | ||||
Files
Data
Sim Output: LD GLAC1D [2GB]  |
Sim Output: LD ICE6G [2GB] |
Sim Output: PGM Mod Topo [3GB] |
Sim Output: PGM Deformed Topo [3GB] |
Sim Input: LD GLAC1D Margin [43kB] |
Sim Input: LD GLAC1D Shear Stress [809MB] |
Sim Input: LD GLAC1D Topo [40MB] |
Sim Input: LD ICE6G Margin [75kB] |
Sim Input: LD ICE6G Shear Stress [827MB] |
Sim Input: LD ICE6G Topo [80MB] |
Sim Input: PGM Margin [61MB] |
Sim Input: PGM Shear Stress [1GB] |
Sim Input: PGM Topo [7GB] |
Shear Stress Map [254kB] |
Sim Params [34MB] |
Implausibility: LD [157kB] |
Implausibility: LD Masks [190kB] |
Implausibility: LD Metrics [4GB] |
Implausibility: LD Panels [1MB] |
Implausibility: LD Emulation [3MB] |
Implausibility: LD Region Emulation [34MB] |
Implausibility: PGM [10kB] |
Implausibility: PGM Metrics [25kB] |
Implausibility: PGM Mod Metrics [1MB] |
Implausibility: PGM Emulation [4MB] |
Extracted Margins: LD GLAC1D [25kB] |
Extracted Margins: LD ICE6G [137kB] |
Sim Output: LD GLAC1D [2GB] 
Sim Output: LD GLAC1D [2GB]