Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure
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 chang...
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Science::General Glacial Isostatic Adjustment Uncertainties |
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Science::General Glacial Isostatic Adjustment Uncertainties Li, Tanghua Wu, Patrick Wang, Hansheng Steffen, Holger Khan, Nicole S. Engelhart, Simon E. Vacchi, Matteo Shaw, Timothy Adam Peltier, W. Richard Horton, Benjamin Peter Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure |
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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. |
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Asian School of the Environment |
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Asian School of the Environment Li, Tanghua Wu, Patrick Wang, Hansheng Steffen, Holger Khan, Nicole S. Engelhart, Simon E. Vacchi, Matteo Shaw, Timothy Adam Peltier, W. Richard Horton, Benjamin Peter |
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Li, Tanghua Wu, Patrick Wang, Hansheng Steffen, Holger Khan, Nicole S. Engelhart, Simon E. Vacchi, Matteo Shaw, Timothy Adam Peltier, W. Richard Horton, Benjamin Peter |
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Li, Tanghua |
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Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure |
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Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure |
title_full |
Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure |
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Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure |
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Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure |
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uncertainties of glacial isostatic adjustment model predictions in north america associated with 3d structure |
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2020 |
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sg-ntu-dr.10356-1452142023-09-12T01:14:11Z Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure Li, Tanghua Wu, Patrick Wang, Hansheng Steffen, Holger Khan, Nicole S. Engelhart, Simon E. Vacchi, Matteo Shaw, Timothy Adam Peltier, W. Richard Horton, Benjamin Peter Asian School of the Environment Earth Observatory of Singapore Science::General Glacial Isostatic Adjustment Uncertainties 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. Ministry of Education (MOE) National Research Foundation (NRF) Published version We thank Donald Argus and an anonymous reviewer for their very constructive comments, which have helped to improve the manuscript. Patrick Wu received GRF grant 17315316 from the Hong Kong Research Grants Council. Tanghua Li and Benjamin P. Horton are supported by the Singapore Ministry of Education Academic Research Fund MOE2019‐T3‐1‐004 and MOE2018‐T2‐1‐030, the National Research Foundation Singapore, and the Singapore Ministry of Education, under the Research Centers of Excellence initiative. Hansheng Wang is funded by the National Key R & D Program of China (2017YFA0603103) and National Natural Science Foundation of China (41431070 and 41974009). The research of W.R. Peltier at Toronto is supported by NSERC discovery grant A9627. The FE calculation was performed with the ABAQUS package from Hibbitt, Karlsson, and Sorensen Inc. This research is conducted in part using the research computing facilities and/or advisory services offered by Information Technology Services, the University of Hong Kong. This article is a contribution to PALSEA (Palaeo‐Constraints on Sea‐Level Rise), HOLSEA, and International Geoscience Program (IGCP) Project 639, “Sea‐Level Changes from Minutes to Millennia”. This work is Earth Observatory of Singapore contribution 293. The mean GIA signals of RSL, urn:x-wiley:00948276:media:grl60497:grl60497-math-0076, and urn:x-wiley:00948276:media:grl60497:grl60497-math-0077 with 1σ, 2σ, and 3σ uncertainties are provided for downloading in DR‐NTU (Data) with open access (https://doi.org/10.21979/N9/26AY8H). The deglacial RSL data, observed GNSS data used in this study are from the supplementary information of the corresponding references (with link) that are listed in the References List: Engelhart & Horton, 2012; Engelhart et al., 2015; Hawkes et al., 2016; Khan et al., 2017; Love et al., 2016; Peltier et al., 2015; Vacchi et al., 2018. 2020-12-15T05:09:18Z 2020-12-15T05:09:18Z 2020 Journal Article Li, T., Wu, P., Wang, H., Steffen, H., Khan, N. S., Engelhart, S. E., Vacchi, M., Shaw, T. A., Peltier, W. R. & Horton, B. P. (2020). Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure. Geophysical Research Letters, 47(10), e2020GL087944-. https://dx.doi.org/10.1029/2020GL087944 0094-8276 https://hdl.handle.net/10356/145214 10.1029/2020GL087944 10 47 e2020GL087944 en MOE2019-T3-1-004 MOE2018-T2-1-030 Geophysical Research Letters 10.21979/N9/26AY8H © 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. application/pdf application/pdf |