An assessment of basal melt parameterisations for Antarctic ice shelves

International audience Ocean-induced ice-shelf melt is one of the largest uncertainty factors in the Antarctic contribution to future sealevel rise. Several parameterisations exist, linking oceanic properties in front of the ice shelf to melt at the base of the ice shelf, to force ice-sheet models....

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Published in:The Cryosphere
Main Authors: Burgard, Clara, Jourdain, Nicolas, C, Reese, Ronja, Jenkins, Adrian, Mathiot, Pierre
Other Authors: Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), University of Northumbria at Newcastle United Kingdom, Institut de gestion des entreprises -USJ (IGE), Université Saint-Joseph de Beyrouth (USJ)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
Subjects:
Online Access:https://hal.science/hal-04301353
https://hal.science/hal-04301353/document
https://hal.science/hal-04301353/file/burgard_TC_2022.pdf
https://doi.org/10.5194/tc-16-4931-2022
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spelling ftunigrenoble:oai:HAL:hal-04301353v1 2024-04-14T08:03:37+00:00 An assessment of basal melt parameterisations for Antarctic ice shelves Burgard, Clara Jourdain, Nicolas, C Reese, Ronja Jenkins, Adrian Mathiot, Pierre Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) University of Northumbria at Newcastle United Kingdom Institut de gestion des entreprises -USJ (IGE) Université Saint-Joseph de Beyrouth (USJ) 2022-12-14 https://hal.science/hal-04301353 https://hal.science/hal-04301353/document https://hal.science/hal-04301353/file/burgard_TC_2022.pdf https://doi.org/10.5194/tc-16-4931-2022 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-4931-2022 hal-04301353 https://hal.science/hal-04301353 https://hal.science/hal-04301353/document https://hal.science/hal-04301353/file/burgard_TC_2022.pdf doi:10.5194/tc-16-4931-2022 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-04301353 The Cryosphere, 2022, 16 (12), pp.4931 - 4975. ⟨10.5194/tc-16-4931-2022⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2022 ftunigrenoble https://doi.org/10.5194/tc-16-4931-2022 2024-03-21T16:09:22Z International audience Ocean-induced ice-shelf melt is one of the largest uncertainty factors in the Antarctic contribution to future sealevel rise. Several parameterisations exist, linking oceanic properties in front of the ice shelf to melt at the base of the ice shelf, to force ice-sheet models. Here, we assess the potential of a range of these existing basal melt parameterisations to emulate basal melt rates simulated by a cavity-resolving ocean model on the circum-Antarctic scale. To do so, we perform two cross-validations, over time and over ice shelves respectively, and re-tune the parameterisations in a perfectmodel approach, to compare the melt rates produced by the newly tuned parameterisations to the melt rates simulated by the ocean model. We find that the quadratic dependence of melt to thermal forcing without dependency on the individual ice-shelf slope and the plume parameterisation yield the best compromise, in terms of integrated shelf melt and spatial patterns. The box parameterisation, which separates the sub-shelf circulation into boxes, the PICOP parameterisation, which combines the box and plume parameterisation, and quadratic parameterisations with dependency on the ice slope yield basal melt rates further from the model reference. The linear parameterisation cannot be recommended as the resulting integrated ice-shelf melt is comparably furthest from the reference. When using offshore hydrographic input fields in comparison to properties on the continental shelf, all parameterisations perform worse; however, the box and the slopedependent quadratic parameterisations yield the comparably best results. In addition to the new tuning, we provide uncertainty estimates for the tuned parameters. Article in Journal/Newspaper Antarc* Antarctic Ice Sheet Ice Shelf Ice Shelves The Cryosphere Université Grenoble Alpes: HAL Antarctic The Antarctic The Cryosphere 16 12 4931 4975
institution Open Polar
collection Université Grenoble Alpes: HAL
op_collection_id ftunigrenoble
language English
topic [SDE]Environmental Sciences
spellingShingle [SDE]Environmental Sciences
Burgard, Clara
Jourdain, Nicolas, C
Reese, Ronja
Jenkins, Adrian
Mathiot, Pierre
An assessment of basal melt parameterisations for Antarctic ice shelves
topic_facet [SDE]Environmental Sciences
description International audience Ocean-induced ice-shelf melt is one of the largest uncertainty factors in the Antarctic contribution to future sealevel rise. Several parameterisations exist, linking oceanic properties in front of the ice shelf to melt at the base of the ice shelf, to force ice-sheet models. Here, we assess the potential of a range of these existing basal melt parameterisations to emulate basal melt rates simulated by a cavity-resolving ocean model on the circum-Antarctic scale. To do so, we perform two cross-validations, over time and over ice shelves respectively, and re-tune the parameterisations in a perfectmodel approach, to compare the melt rates produced by the newly tuned parameterisations to the melt rates simulated by the ocean model. We find that the quadratic dependence of melt to thermal forcing without dependency on the individual ice-shelf slope and the plume parameterisation yield the best compromise, in terms of integrated shelf melt and spatial patterns. The box parameterisation, which separates the sub-shelf circulation into boxes, the PICOP parameterisation, which combines the box and plume parameterisation, and quadratic parameterisations with dependency on the ice slope yield basal melt rates further from the model reference. The linear parameterisation cannot be recommended as the resulting integrated ice-shelf melt is comparably furthest from the reference. When using offshore hydrographic input fields in comparison to properties on the continental shelf, all parameterisations perform worse; however, the box and the slopedependent quadratic parameterisations yield the comparably best results. In addition to the new tuning, we provide uncertainty estimates for the tuned parameters.
author2 Institut des Géosciences de l’Environnement (IGE)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Université Grenoble Alpes (UGA)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
University of Northumbria at Newcastle United Kingdom
Institut de gestion des entreprises -USJ (IGE)
Université Saint-Joseph de Beyrouth (USJ)
format Article in Journal/Newspaper
author Burgard, Clara
Jourdain, Nicolas, C
Reese, Ronja
Jenkins, Adrian
Mathiot, Pierre
author_facet Burgard, Clara
Jourdain, Nicolas, C
Reese, Ronja
Jenkins, Adrian
Mathiot, Pierre
author_sort Burgard, Clara
title An assessment of basal melt parameterisations for Antarctic ice shelves
title_short An assessment of basal melt parameterisations for Antarctic ice shelves
title_full An assessment of basal melt parameterisations for Antarctic ice shelves
title_fullStr An assessment of basal melt parameterisations for Antarctic ice shelves
title_full_unstemmed An assessment of basal melt parameterisations for Antarctic ice shelves
title_sort assessment of basal melt parameterisations for antarctic ice shelves
publisher HAL CCSD
publishDate 2022
url https://hal.science/hal-04301353
https://hal.science/hal-04301353/document
https://hal.science/hal-04301353/file/burgard_TC_2022.pdf
https://doi.org/10.5194/tc-16-4931-2022
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Ice Sheet
Ice Shelf
Ice Shelves
The Cryosphere
genre_facet Antarc*
Antarctic
Ice Sheet
Ice Shelf
Ice Shelves
The Cryosphere
op_source ISSN: 1994-0424
EISSN: 1994-0416
The Cryosphere
https://hal.science/hal-04301353
The Cryosphere, 2022, 16 (12), pp.4931 - 4975. ⟨10.5194/tc-16-4931-2022⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-4931-2022
hal-04301353
https://hal.science/hal-04301353
https://hal.science/hal-04301353/document
https://hal.science/hal-04301353/file/burgard_TC_2022.pdf
doi:10.5194/tc-16-4931-2022
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/tc-16-4931-2022
container_title The Cryosphere
container_volume 16
container_issue 12
container_start_page 4931
op_container_end_page 4975
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