Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157193
Title: Influence of 3D earth structure on glacial isostatic adjustment in the Russian Arctic
Authors: Li, Tanghua
Khan, Nicole S.
Baranskaya, Alisa V.
Shaw, Timothy Adam
Peltier, W. Richard
Stuhne, Gordan R.
Wu, Patrick
Horton, Benjamin Peter
Keywords: Science::Geology
Issue Date: 2022
Source: Li, T., Khan, N. S., Baranskaya, A. V., Shaw, T. A., Peltier, W. R., Stuhne, G. R., Wu, P. & Horton, B. P. (2022). Influence of 3D earth structure on glacial isostatic adjustment in the Russian Arctic. Journal of Geophysical Research: Solid Earth, 127(3), e2021JB023631-. https://dx.doi.org/10.1029/2021JB023631
Project: MOE2019 -T3-1-004 
MOE2018-T2-1-030 
MOE-T2EP50120-0007 
Journal: Journal of Geophysical Research: Solid Earth 
Abstract: Analyses of glacial isostatic adjustment (GIA) and deglacial relative sea-level (RSL) change in the Russian Arctic deliver important insights into the Earth's viscosity structure and the deglaciation history of the Eurasian ice sheet complex. Here, we validate the 1D GIA models ICE-6G_C (VM5a) and ICE-7G_NA (VM7) and select new 3D GIA models in the Russian Arctic against a quality-controlled deglacial RSL database of >500 sea-level data points from 24 regions. Both 1D models correspond to the RSL data along the southern coast of the Barents Sea and Franz Josef Land from ∼11 ka BP to present but show notable misfits (>50 m at 10 ka BP) with the White Sea data. We find 3D model predictions of deglacial RSL resolve most of the misfits with the observed data for the White Sea while retaining comparable fits in other regions of the Russian Arctic. Our results further reveal: (a) RSL in the western Russian Arctic is sensitive to elastic lithosphere with lateral thickness variation and 3D viscosity structure in the upper mantle; and (b) RSL in the whole Russian Arctic is less sensitive to 3D viscosity structure in the lower mantle compared to the upper mantle. The 3D models reveal a compromise in the upper mantle between the background viscosity and scaling factor to best fit the RSL data, which needs to be considered in future 3D GIA studies.
URI: https://hdl.handle.net/10356/157193
ISSN: 2169-9356
DOI: 10.1029/2021JB023631
Schools: Asian School of the Environment 
Research Centres: Earth Observatory of Singapore 
Rights: © 2022 The Authors.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes
Fulltext Permission: open
Fulltext Availability: With Fulltext
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