Modelling sea-level fingerprints of glaciated regions with low mantle viscosity

Sea-level fingerprints define the spatially varying relative sea-level response to changes in grounded ice distribution. These fingerprints are a key component in generating regional sea-level projections. Calculation of these fingerprints is commonly based on the assumption that the isostatic respo...

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Main Authors: Bartholet, Alan, Milne, Glenn A., Latychev, Konstantin
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.5194/esd-2020-72
https://esd.copernicus.org/preprints/esd-2020-72/
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spelling ftcopernicus:oai:publications.copernicus.org:esdd89867 2023-05-15T13:31:39+02:00 Modelling sea-level fingerprints of glaciated regions with low mantle viscosity Bartholet, Alan Milne, Glenn A. Latychev, Konstantin 2020-11-03 application/pdf https://doi.org/10.5194/esd-2020-72 https://esd.copernicus.org/preprints/esd-2020-72/ eng eng doi:10.5194/esd-2020-72 https://esd.copernicus.org/preprints/esd-2020-72/ eISSN: 2190-4987 Text 2020 ftcopernicus https://doi.org/10.5194/esd-2020-72 2020-11-09T17:22:16Z Sea-level fingerprints define the spatially varying relative sea-level response to changes in grounded ice distribution. These fingerprints are a key component in generating regional sea-level projections. Calculation of these fingerprints is commonly based on the assumption that the isostatic response of the Earth is dominantly elastic on century time scales. While this assumption is accurate for regions underlain my mantle material with viscosity close to that of global average estimates, recent work focusing on the Antarctic region has shown that this assumption can led to significant error when the viscosity departs significantly from typical average values. Here we test this assumption for fingerprints associated with glaciers and ice caps. We compare output from a (1D) elastic Earth model to that of a 3D viscoelastic model which includes low viscosity mantle in three glaciated regions: Alaska, southwestern Canada and the southern Andes (Randolph Glacier Inventory (RGI) regions 1, 2 & 17, respectively). This comparison indicates that the error incurred by ignoring the non-elastic response is generally less than 1 cm over the 21st century but can reach magnitudes of up to several 10s of centimetres in low viscosity areas. This error can have large spatial gradients where crustal uplift in ice covered (or previously ice covered) areas changes into subsidence when moving away from the loading centres to areas peripheral to the mass loss. The existence of these large gradients indicates the need for loading models with high spatial resolution to accurately simulate sea-level fingerprints in these regions. We conclude that sea-level projections for Alaska, southwestern Canada and the southern Andes should not be based on elastic Earth models. Text Antarc* Antarctic glacier glacier* glaciers Alaska ice covered areas Copernicus Publications: E-Journals Antarctic Canada The Antarctic
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Sea-level fingerprints define the spatially varying relative sea-level response to changes in grounded ice distribution. These fingerprints are a key component in generating regional sea-level projections. Calculation of these fingerprints is commonly based on the assumption that the isostatic response of the Earth is dominantly elastic on century time scales. While this assumption is accurate for regions underlain my mantle material with viscosity close to that of global average estimates, recent work focusing on the Antarctic region has shown that this assumption can led to significant error when the viscosity departs significantly from typical average values. Here we test this assumption for fingerprints associated with glaciers and ice caps. We compare output from a (1D) elastic Earth model to that of a 3D viscoelastic model which includes low viscosity mantle in three glaciated regions: Alaska, southwestern Canada and the southern Andes (Randolph Glacier Inventory (RGI) regions 1, 2 & 17, respectively). This comparison indicates that the error incurred by ignoring the non-elastic response is generally less than 1 cm over the 21st century but can reach magnitudes of up to several 10s of centimetres in low viscosity areas. This error can have large spatial gradients where crustal uplift in ice covered (or previously ice covered) areas changes into subsidence when moving away from the loading centres to areas peripheral to the mass loss. The existence of these large gradients indicates the need for loading models with high spatial resolution to accurately simulate sea-level fingerprints in these regions. We conclude that sea-level projections for Alaska, southwestern Canada and the southern Andes should not be based on elastic Earth models.
format Text
author Bartholet, Alan
Milne, Glenn A.
Latychev, Konstantin
spellingShingle Bartholet, Alan
Milne, Glenn A.
Latychev, Konstantin
Modelling sea-level fingerprints of glaciated regions with low mantle viscosity
author_facet Bartholet, Alan
Milne, Glenn A.
Latychev, Konstantin
author_sort Bartholet, Alan
title Modelling sea-level fingerprints of glaciated regions with low mantle viscosity
title_short Modelling sea-level fingerprints of glaciated regions with low mantle viscosity
title_full Modelling sea-level fingerprints of glaciated regions with low mantle viscosity
title_fullStr Modelling sea-level fingerprints of glaciated regions with low mantle viscosity
title_full_unstemmed Modelling sea-level fingerprints of glaciated regions with low mantle viscosity
title_sort modelling sea-level fingerprints of glaciated regions with low mantle viscosity
publishDate 2020
url https://doi.org/10.5194/esd-2020-72
https://esd.copernicus.org/preprints/esd-2020-72/
geographic Antarctic
Canada
The Antarctic
geographic_facet Antarctic
Canada
The Antarctic
genre Antarc*
Antarctic
glacier
glacier*
glaciers
Alaska
ice covered areas
genre_facet Antarc*
Antarctic
glacier
glacier*
glaciers
Alaska
ice covered areas
op_source eISSN: 2190-4987
op_relation doi:10.5194/esd-2020-72
https://esd.copernicus.org/preprints/esd-2020-72/
op_doi https://doi.org/10.5194/esd-2020-72
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