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...
Published in: | Geophysical Research Letters |
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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 |
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Australian National University: ANU Digital Collections |
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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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1788067304857141248 |