How Accurately Should We Model Ice Shelf Melt Rates?

Assessment of ocean‐forced ice sheet loss requires that ocean models be able to represent sub‐ice shelf melt rates. However, spatial accuracy of modeled melt is not well investigated, and neither is the level of accuracy required to assess ice sheet loss. Focusing on a fast‐thinning region of West A...

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Published in:Geophysical Research Letters
Main Authors: Goldberg, Daniel, Gourmelen, Noel, Kimura, S., Millan, R., Snow, Kate
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union
Subjects:
Online Access:http://hdl.handle.net/1885/202485
https://doi.org/10.1029/2018GL080383
https://openresearch-repository.anu.edu.au/bitstream/1885/202485/5/01_Goldberg_How_Accurately_Should_We_Model_2019.pdf.jpg
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spelling ftanucanberra:oai:openresearch-repository.anu.edu.au:1885/202485 2024-01-14T10:01:33+01:00 How Accurately Should We Model Ice Shelf Melt Rates? Goldberg, Daniel Gourmelen, Noel Kimura, S. Millan, R. Snow, Kate application/pdf http://hdl.handle.net/1885/202485 https://doi.org/10.1029/2018GL080383 https://openresearch-repository.anu.edu.au/bitstream/1885/202485/5/01_Goldberg_How_Accurately_Should_We_Model_2019.pdf.jpg en_AU eng American Geophysical Union 0094-8276 http://hdl.handle.net/1885/202485 doi:10.1029/2018GL080383 https://openresearch-repository.anu.edu.au/bitstream/1885/202485/5/01_Goldberg_How_Accurately_Should_We_Model_2019.pdf.jpg © 2018. The Authors. http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution License Geophysical Research Letters Journal article ftanucanberra https://doi.org/10.1029/2018GL080383 2023-12-15T09:36:10Z Assessment of ocean‐forced ice sheet loss requires that ocean models be able to represent sub‐ice shelf melt rates. However, spatial accuracy of modeled melt is not well investigated, and neither is the level of accuracy required to assess ice sheet loss. Focusing on a fast‐thinning region of West Antarctica, we calculate spatially resolved ice‐shelf melt from satellite altimetry and compare against results from an ocean model with varying representations of cavity geometry and ocean physics. Then, we use an ice‐flow model to assess the impact of the results on grounded ice. We find that a number of factors influence model‐data agreement of melt rates, with bathymetry being the leading factor; but this agreement is only important in isolated regions under the ice shelves, such as shear margins and grounding lines. To improve ice sheet forecasts, both modeling and observations of ice‐ocean interactions must be improved in these critical regions. This work was supported by Natural Environment Resources Council grant NE/M003590/1, and European Space Agency contracts CryoTop4000107394/12/I-NB and CryoTop Evolution 4000116874/16/I-NB Article in Journal/Newspaper Antarc* Antarctica Ice Sheet Ice Shelf Ice Shelves West Antarctica Australian National University: ANU Digital Collections West Antarctica Geophysical Research Letters 46 1 189 199
institution Open Polar
collection Australian National University: ANU Digital Collections
op_collection_id ftanucanberra
language English
description Assessment of ocean‐forced ice sheet loss requires that ocean models be able to represent sub‐ice shelf melt rates. However, spatial accuracy of modeled melt is not well investigated, and neither is the level of accuracy required to assess ice sheet loss. Focusing on a fast‐thinning region of West Antarctica, we calculate spatially resolved ice‐shelf melt from satellite altimetry and compare against results from an ocean model with varying representations of cavity geometry and ocean physics. Then, we use an ice‐flow model to assess the impact of the results on grounded ice. We find that a number of factors influence model‐data agreement of melt rates, with bathymetry being the leading factor; but this agreement is only important in isolated regions under the ice shelves, such as shear margins and grounding lines. To improve ice sheet forecasts, both modeling and observations of ice‐ocean interactions must be improved in these critical regions. This work was supported by Natural Environment Resources Council grant NE/M003590/1, and European Space Agency contracts CryoTop4000107394/12/I-NB and CryoTop Evolution 4000116874/16/I-NB
format Article in Journal/Newspaper
author Goldberg, Daniel
Gourmelen, Noel
Kimura, S.
Millan, R.
Snow, Kate
spellingShingle Goldberg, Daniel
Gourmelen, Noel
Kimura, S.
Millan, R.
Snow, Kate
How Accurately Should We Model Ice Shelf Melt Rates?
author_facet Goldberg, Daniel
Gourmelen, Noel
Kimura, S.
Millan, R.
Snow, Kate
author_sort Goldberg, Daniel
title How Accurately Should We Model Ice Shelf Melt Rates?
title_short How Accurately Should We Model Ice Shelf Melt Rates?
title_full How Accurately Should We Model Ice Shelf Melt Rates?
title_fullStr How Accurately Should We Model Ice Shelf Melt Rates?
title_full_unstemmed How Accurately Should We Model Ice Shelf Melt Rates?
title_sort how accurately should we model ice shelf melt rates?
publisher American Geophysical Union
url http://hdl.handle.net/1885/202485
https://doi.org/10.1029/2018GL080383
https://openresearch-repository.anu.edu.au/bitstream/1885/202485/5/01_Goldberg_How_Accurately_Should_We_Model_2019.pdf.jpg
geographic West Antarctica
geographic_facet West Antarctica
genre Antarc*
Antarctica
Ice Sheet
Ice Shelf
Ice Shelves
West Antarctica
genre_facet Antarc*
Antarctica
Ice Sheet
Ice Shelf
Ice Shelves
West Antarctica
op_source Geophysical Research Letters
op_relation 0094-8276
http://hdl.handle.net/1885/202485
doi:10.1029/2018GL080383
https://openresearch-repository.anu.edu.au/bitstream/1885/202485/5/01_Goldberg_How_Accurately_Should_We_Model_2019.pdf.jpg
op_rights © 2018. The Authors.
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution License
op_doi https://doi.org/10.1029/2018GL080383
container_title Geophysical Research Letters
container_volume 46
container_issue 1
container_start_page 189
op_container_end_page 199
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