Influence of 3D Earth Structure on Glacial Isostatic Adjustment in the Russian Arctic
Autor: | Timothy M. Shaw, Alisa Baranskaya, Patrick Wu, G. R. Stuhne, W. Richard Peltier, Nicole S. Khan, Benjamin P. Horton, Tanghua Li |
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Přispěvatelé: | Asian School of the Environment, Earth Observatory of Singapore |
Rok vydání: | 2022 |
Předmět: |
Sea-Level Change
Earth structure Lateral Heterogeneity Post-glacial rebound Geology [Science] engineering.material Russian Arctic Glacial Isostatic Adjustment Geophysics Arctic Space and Planetary Science Geochemistry and Petrology engineering Earth and Planetary Sciences (miscellaneous) Physical geography Rheology Geology |
Zdroj: | Journal of Geophysical Research: Solid Earth. 127 |
ISSN: | 2169-9356 2169-9313 |
DOI: | 10.1029/2021jb023631 |
Popis: | 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. Ministry of Education (MOE) National Research Foundation (NRF) Published version Tanghua Li, Timothy A. Shaw, and Benjamin P. Horton are supported by the Singapore Ministry of Education Academic Research Fund MOE2019 -T3-1-004, MOE2018-T2-1-030 and MOE-T2EP50120-0007, the National Research Foundation Singapore, and the Singapore Ministry of Education, under the Research Centers of Excellence initia- tive. The research of W. Richard Peltier at Toronto is supported by NSERC discov- ery Grant A9627. The work of Alisa Baranskaya was supported by the Russian Science Foundation Grant 22-77-10,031; she used equipment and facilities obtained within the State Budget Theme АААА- А16-116032810055-0. The FE calcula- tion 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. The authors acknowledge HOLSEA and PALSEA, working groups 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. This article is a contribution to International Geoscience Program (IGCP) Project 639, “Sea-Level Changes from Minutes to Millennia.” We express our gratitude to Muhammad Hadi Ikhsan for support with the graphics. This work is Earth Observatory of Singapore contribution 435. |
Databáze: | OpenAIRE |
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