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Uncertainties of Glacial Isostatic Adjustment Model Predictions in North America associated with 3D structure

Li, T; Wu, P; Wang, H; Steffen, H; Khan, N; Engelhart, SE; Vacchi, M; Shaw, T; Peltier, WR; Horton, BP

Uncertainties of Glacial Isostatic Adjustment Model Predictions in North America associated with 3D structure Thumbnail


T Li

P Wu

H Wang

H Steffen

N Khan

M Vacchi

T Shaw

WR Peltier

BP Horton


We quantify GIA prediction uncertainties of 250 1D and 3D glacial isostatic adjustment (GIA) models through comparisons with deglacial relative sea‐level (RSL) data from North America and rate of vertical land motion ( urn:x-wiley:00948276:media:grl60497:grl60497-math-0001) and gravity rate of change ( urn:x-wiley:00948276:media:grl60497:grl60497-math-0002) from GNSS and GRACE data, respectively. Spatially, the size of the RSL uncertainties varies across North America with the largest from Hudson Bay and near previous ice margins along the northern Atlantic and Pacific coasts, which suggests 3D viscosity structure in the lower mantle and laterally varying lithospheric thickness. Temporally, RSL uncertainties decrease from the Last Glacial Maximum to present except for west of Hudson Bay and the northeastern Pacific coast. The uncertainties of both these regions increase from 30 to 45 m between 15 and 11 ka BP, which may be due to the rapid decrease of surface loading at that time. Present‐day urn:x-wiley:00948276:media:grl60497:grl60497-math-0003 and urn:x-wiley:00948276:media:grl60497:grl60497-math-0004 uncertainties are largest in southwestern Hudson Bay with magnitudes of 2.4 mm/year and 0.4 μGal/year, mainly due to the 3D viscosity structure in the lower mantle.

Journal Article Type Article
Acceptance Date Apr 5, 2020
Online Publication Date May 13, 2020
Publication Date May 28, 2020
Deposit Date Apr 7, 2020
Publicly Available Date May 13, 2020
Journal Geophysical Research Letters
Print ISSN 0094-8276
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 47
Issue 10
Article Number e2020GL087944
Public URL


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Copyright Statement
© 2020. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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