TY - JOUR
T1 - Quantifying the uncertainty in the Eurasian ice-sheet geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6)
AU - Pollard, Oliver G.
AU - Barlow, Natasha L.M.
AU - Gregoire, Lauren J.
AU - Gomez, Natalya
AU - Cartelle, Víctor
AU - Ely, Jeremy C.
AU - Astfalck, Lachlan C.
N1 - Funding Information:
This research has been funded under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 802281).
Funding Information:
This paper forms a contribution to the ERC RISeR project, with funding directly supporting Natasha L. M. Barlow, Oliver G. Pollard, and Víctor Cartelle. The authors acknowledge PALSEA, a working group of the International Union for Quaternary Sciences (INQUA) and Past Global Changes (PAGES), which in turn received support from the Swiss Academy of Sciences and the Chinese Academy of Sciences. The authors wish to thank Sarah Bradley, Amy McGuire, Graham Rush, and the University of Leeds Climate-Ice Group for fruitful discussion around this work, and Evan Gowan, Lev Tarasov, and Samuel Toucanne for their comments that helped improved the manuscript. The Leeds Centre for Environmental Modelling And Computation (CEMAC) provided invaluable technical assistance for this project. Lauren J. Gregoire is funded by a UK Research and Innovation Future Leaders Fellowship (MR/S016961/1). Natalya Gomez is supported by the Canada Research Chairs program (241814) and Natural Sciences and Engineering Research Council (RGPIN-2016-05159). Jeremy C. Ely acknowledges support from a NERC independent fellowship (NE/R014574/1). Lachlan C. Astfalck is funded by the ARC ITRH for Transforming energy Infrastructure through Digital Engineering (TIDE; Grant no. IH200100009).
Publisher Copyright:
© 2023 Oliver G. Pollard et al.
PY - 2023/11/10
Y1 - 2023/11/10
N2 - 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 (PGM) by employing large ensemble experiments from a simple ice-sheet model that depends solely on basal shear 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 PGM to create an ensemble of constrained 3D Eurasian ice-sheet geometries. Our reconstructed PGM Eurasian ice-sheet volume is 48±8m sea-level equivalent (SLE). We find that the Barents-Kara Sea region displays both the largest mean volume and volume uncertainty of 24±8mSLE while the British-Irish sector volume of 1.7±0.2mSLE is the smallest. Our new workflow may be applied to other locations and periods where ice-sheet histories have limited empirical data.
AB - 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 (PGM) by employing large ensemble experiments from a simple ice-sheet model that depends solely on basal shear 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 PGM to create an ensemble of constrained 3D Eurasian ice-sheet geometries. Our reconstructed PGM Eurasian ice-sheet volume is 48±8m sea-level equivalent (SLE). We find that the Barents-Kara Sea region displays both the largest mean volume and volume uncertainty of 24±8mSLE while the British-Irish sector volume of 1.7±0.2mSLE is the smallest. Our new workflow may be applied to other locations and periods where ice-sheet histories have limited empirical data.
UR - http://www.scopus.com/inward/record.url?scp=85177999181&partnerID=8YFLogxK
U2 - 10.5194/tc-17-4751-2023
DO - 10.5194/tc-17-4751-2023
M3 - Article
AN - SCOPUS:85177999181
SN - 1994-0416
VL - 17
SP - 4751
EP - 4777
JO - Cryosphere
JF - Cryosphere
IS - 11
ER -