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FastIsostasy.jl - Accelerated computation of glacial isostatic adjustment

Authors

Swierczek-Jereczek,  Jan
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Montoya,  Marisa
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Robinson,  Alexander
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Alvarez-Solas,  Jorge
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Swierczek-Jereczek, J., Montoya, M., Robinson, A., Alvarez-Solas, J. (2023): FastIsostasy.jl - Accelerated computation of glacial isostatic adjustment, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-0500


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015941
Abstract
Glacial isostatic adjustment (GIA) represents an important negative feedback on ice-sheet dynamics. The magnitude and time scale of GIA primarily depend on the upper mantle viscosity and the lithosphere thickness. These parameters have been found to vary strongly over the Antarctic continent, showing ranges of 10^18 - 10^23 Pa s for the viscosity and 30 - 250 km for the lithospheric thickness. Recent studies show that capturing these spatial dependencies are of significant importance for the long-term evolution of the Antarctic Ice Sheet (AIS). However, 3D GIA models are computationally expensive and sometimes require an iterative coupling for the ice sheet and the solid-Earth solutions to converge. As a consequence, their use remains limited, potentially leading to errors in the simulated ice-sheet response and associated sea-level rise projections. Here, we propose to tackle this problem by generalising the work of Bueler et al. (2007) and Coulon et al. (2021). FastIsostasy allows for an explicit accounting of the effects of spatially heterogeneous viscosity and lithospheric thicknesses and is computationally very efficient.