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Surface Mass Balance Variability Causes Viscoelastic Solid Earth Deformation in the Antarctic Peninsula

Lookup NU author(s): Dr Achraf Koulali IdrissiORCiD, Professor Peter ClarkeORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025. The Author(s).Present-day ice-mass changes in Antarctica typically deform the solid Earth elastically, and this signal needs removing from Global Positioning System (GPS) observations of displacement before they can be used to constrain models of glacial isostatic adjustment. However, much of West Antarctica is underlain by weak upper mantle, meaning these short-term fluctuations may also cause viscous (transient or steady-state) deformation of the Earth. We model the viscoelastic response of the Earth to surface mass balance (SMB) variability in the Antarctic Peninsula and find an improved fit to GPS data at most sites compared to elastic only. Viscoelastic modeling constrains upper mantle steady-state viscosity in the northern Peninsula to 5 × 1017 to 2 × 1018 Pa s, and >1 × 1018 Pa s for the mid to southern Peninsula. In the northern Peninsula, removing viscoelastic displacement caused by SMB variability from GPS time series increases estimated uplift rates by up to 3 mm/yr compared with using an elastic-only correction.


Publication metadata

Author(s): Nield GA, Bentley MJ, Koulali A, Clarke PJ, King MA, Wilson T, Whitehouse PL

Publication type: Article

Publication status: Published

Journal: Geophysical Research Letters

Year: 2025

Volume: 52

Issue: 12

Print publication date: 28/06/2025

Online publication date: 19/06/2025

Acceptance date: 23/05/2025

Date deposited: 30/07/2025

ISSN (print): 0094-8276

ISSN (electronic): 1944-8007

Publisher: John Wiley and Sons Inc

URL: https://doi.org/10.1029/2025GL114595

DOI: 10.1029/2025GL114595

Data Access Statement: Table S1 in Supporting Information S1 contains a table of GPS site metadata sources. UKANET data is available at Whitehouse and Clarke (2024). Modeling was performed using Abaqus—a commercial software and can be purchased from the developer (Dassault Systemes, 2023). We have used version 2023 in this study. Outputs for the best fitting model and corrected GPS time series are archived on Zenodo (Nield, 2025), and will be available at the NERC Polar Data Centre repository. Figures have been produced using Generic Mapping Tools (Wessel et al., 2013).


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Funding

Funder referenceFunder name
Australian Research Council. Grant Number: SR200100008
NE/R002029/1Natural Environment Research Council (NERC)
NERC

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