Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica

Seismic data indicate that there are large viscosity variations in the mantle beneath Antarctica. Consideration of such variations would affect predictions of models of Glacial Isostatic Adjustment (GIA), which are used to correct satellite measurements of ice mass change. However, most GIA models u...

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Published in:Earth and Planetary Science Letters
Main Authors: Van der Wal, W. (author), Whitehouse, P.L. (author), Schrama, E.J.O. (author)
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2015
Subjects:
Online Access:https://doi.org/10.1016/j.epsl.2015.01.001
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spelling fttudelft:oai:tudelft.nl:uuid:a81856a6-4959-4a2c-9b44-9bd3c7960d73 2023-07-30T03:58:41+02:00 Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica Van der Wal, W. (author) Whitehouse, P.L. (author) Schrama, E.J.O. (author) 2015-01-28 https://doi.org/10.1016/j.epsl.2015.01.001 http://resolver.tudelft.nl/uuid:a81856a6-4959-4a2c-9b44-9bd3c7960d73 en eng Elsevier Earth and Planetary Science Letters, 414, 2015--0012-821X https://doi.org/10.1016/j.epsl.2015.01.001 http://resolver.tudelft.nl/uuid:a81856a6-4959-4a2c-9b44-9bd3c7960d73 © 2015 The Authors This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) glacial rebound mantle rheology viscosity time-variable gravity GRACE Antarctica journal article Text 2015 fttudelft https://doi.org/10.1016/j.epsl.2015.01.001 2023-07-08T20:17:18Z Seismic data indicate that there are large viscosity variations in the mantle beneath Antarctica. Consideration of such variations would affect predictions of models of Glacial Isostatic Adjustment (GIA), which are used to correct satellite measurements of ice mass change. However, most GIA models used for that purpose have assumed the mantle to be uniformly stratified in terms of viscosity. The goal of this study is to estimate the effect of lateral variations in viscosity on Antarctic mass balance estimates derived from the Gravity Recovery and Climate Experiment (GRACE) data. To this end, recently-developed global GIA models based on lateral variations in mantle temperature are tuned to fit constraints in the northern hemisphere and then compared to GPS-derived uplift rates in Antarctica. We find that these models can provide a better fit to GPS uplift rates in Antarctica than existing GIA models with a radially-varying (1D) rheology. When 3D viscosity models in combination with specific ice loading histories are used to correct GRACE measurements, mass loss in Antarctica is smaller than previously found for the same ice loading histories and their preferred 1D viscosity profiles. The variation in mass balance estimates arising from using different plausible realizations of 3D viscosity amounts to 20 Gt/yr for the ICE-5G ice model and 16 Gt/yr for the W12a ice model; these values are larger than the GRACE measurement error, but smaller than the variation arising from unknown ice history. While there exist 1D Earth models that can reproduce the total mass balance estimates derived using 3D Earth models, the spatial pattern of gravity rates can be significantly affected by 3D viscosity in a way that cannot be reproduced by GIA models with 1D viscosity. As an example, models with 1D viscosity always predict maximum gravity rates in the Ross Sea for the ICE-5G ice model, however, for one of the three preferred 3D models the maximum (for the same ice model) is found near the Weddell Sea. This demonstrates that 3D ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Ross Sea Weddell Sea Delft University of Technology: Institutional Repository Antarctic Ross Sea Weddell Weddell Sea Earth and Planetary Science Letters 414 134 143
institution Open Polar
collection Delft University of Technology: Institutional Repository
op_collection_id fttudelft
language English
topic glacial rebound
mantle rheology
viscosity
time-variable gravity
GRACE
Antarctica
spellingShingle glacial rebound
mantle rheology
viscosity
time-variable gravity
GRACE
Antarctica
Van der Wal, W. (author)
Whitehouse, P.L. (author)
Schrama, E.J.O. (author)
Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica
topic_facet glacial rebound
mantle rheology
viscosity
time-variable gravity
GRACE
Antarctica
description Seismic data indicate that there are large viscosity variations in the mantle beneath Antarctica. Consideration of such variations would affect predictions of models of Glacial Isostatic Adjustment (GIA), which are used to correct satellite measurements of ice mass change. However, most GIA models used for that purpose have assumed the mantle to be uniformly stratified in terms of viscosity. The goal of this study is to estimate the effect of lateral variations in viscosity on Antarctic mass balance estimates derived from the Gravity Recovery and Climate Experiment (GRACE) data. To this end, recently-developed global GIA models based on lateral variations in mantle temperature are tuned to fit constraints in the northern hemisphere and then compared to GPS-derived uplift rates in Antarctica. We find that these models can provide a better fit to GPS uplift rates in Antarctica than existing GIA models with a radially-varying (1D) rheology. When 3D viscosity models in combination with specific ice loading histories are used to correct GRACE measurements, mass loss in Antarctica is smaller than previously found for the same ice loading histories and their preferred 1D viscosity profiles. The variation in mass balance estimates arising from using different plausible realizations of 3D viscosity amounts to 20 Gt/yr for the ICE-5G ice model and 16 Gt/yr for the W12a ice model; these values are larger than the GRACE measurement error, but smaller than the variation arising from unknown ice history. While there exist 1D Earth models that can reproduce the total mass balance estimates derived using 3D Earth models, the spatial pattern of gravity rates can be significantly affected by 3D viscosity in a way that cannot be reproduced by GIA models with 1D viscosity. As an example, models with 1D viscosity always predict maximum gravity rates in the Ross Sea for the ICE-5G ice model, however, for one of the three preferred 3D models the maximum (for the same ice model) is found near the Weddell Sea. This demonstrates that 3D ...
format Article in Journal/Newspaper
author Van der Wal, W. (author)
Whitehouse, P.L. (author)
Schrama, E.J.O. (author)
author_facet Van der Wal, W. (author)
Whitehouse, P.L. (author)
Schrama, E.J.O. (author)
author_sort Van der Wal, W. (author)
title Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica
title_short Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica
title_full Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica
title_fullStr Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica
title_full_unstemmed Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica
title_sort effect of gia models with 3d composite mantle viscosity on grace mass balance estimates for antarctica
publisher Elsevier
publishDate 2015
url https://doi.org/10.1016/j.epsl.2015.01.001
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geographic Antarctic
Ross Sea
Weddell
Weddell Sea
geographic_facet Antarctic
Ross Sea
Weddell
Weddell Sea
genre Antarc*
Antarctic
Antarctica
Ross Sea
Weddell Sea
genre_facet Antarc*
Antarctic
Antarctica
Ross Sea
Weddell Sea
op_relation Earth and Planetary Science Letters, 414, 2015--0012-821X
https://doi.org/10.1016/j.epsl.2015.01.001
http://resolver.tudelft.nl/uuid:a81856a6-4959-4a2c-9b44-9bd3c7960d73
op_rights © 2015 The Authors
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
op_doi https://doi.org/10.1016/j.epsl.2015.01.001
container_title Earth and Planetary Science Letters
container_volume 414
container_start_page 134
op_container_end_page 143
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