Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3)

Oceanic melting beneath ice shelves is the main driver of the current mass loss of the Antarctic ice sheet and is mostly parameterised in stand-alone ice-sheet modelling. Parameterisations are crude representations of reality, and their response to ocean warming has not been compared to 3-D ocean–ic...

Full description

Bibliographic Details
Published in:Geoscientific Model Development
Main Authors: Favier, Lionel, Jourdain, Nicolas C., Jenkins, Adrian, Merino, Nacho, Durand, Gaël, Gagliardini, Olivier, Gillet-Chaulet, Fabien, Mathiot, Pierre
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/gmd-12-2255-2019
https://gmd.copernicus.org/articles/12/2255/2019/
id ftcopernicus:oai:publications.copernicus.org:gmd74326
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:gmd74326 2023-05-15T13:55:28+02:00 Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3) Favier, Lionel Jourdain, Nicolas C. Jenkins, Adrian Merino, Nacho Durand, Gaël Gagliardini, Olivier Gillet-Chaulet, Fabien Mathiot, Pierre 2019-06-12 application/pdf https://doi.org/10.5194/gmd-12-2255-2019 https://gmd.copernicus.org/articles/12/2255/2019/ eng eng doi:10.5194/gmd-12-2255-2019 https://gmd.copernicus.org/articles/12/2255/2019/ eISSN: 1991-9603 Text 2019 ftcopernicus https://doi.org/10.5194/gmd-12-2255-2019 2020-07-20T16:22:48Z Oceanic melting beneath ice shelves is the main driver of the current mass loss of the Antarctic ice sheet and is mostly parameterised in stand-alone ice-sheet modelling. Parameterisations are crude representations of reality, and their response to ocean warming has not been compared to 3-D ocean–ice-sheet coupled models. Here, we assess various melting parameterisations ranging from simple scalings with far-field thermal driving to emulators of box and plume models, using a new coupling framework combining the ocean model NEMO and the ice-sheet model Elmer/Ice. We define six idealised one-century scenarios for the far-field ocean ranging from cold to warm, and representative of potential futures for typical Antarctic ice shelves. The scenarios are used to constrain an idealised geometry of the Pine Island glacier representative of a relatively small cavity. Melt rates and sea-level contributions obtained with the parameterised stand-alone ice-sheet model are compared to the coupled model results. The plume parameterisations give good results for cold scenarios but fail and underestimate sea level contribution by tens of percent for warm(ing) scenarios, which may be improved by adapting its empirical scaling. The box parameterisation with five boxes compares fairly well to the coupled results for almost all scenarios, but further work is needed to grasp the correct number of boxes. For simple scalings, the comparison to the coupled framework shows that a quadratic as opposed to linear dependency on thermal forcing is required. In addition, the quadratic dependency is improved when melting depends on both local and non-local, i.e. averaged over the ice shelf, thermal forcing. The results of both the box and the two quadratic parameterisations fall within or close to the coupled model uncertainty. All parameterisations overestimate melting for thin ice shelves while underestimating melting in deep water near the grounding line. Further work is therefore needed to assess the validity of these melting parameteriations in more realistic set-ups. Text Antarc* Antarctic Ice Sheet Ice Shelf Ice Shelves Pine Island Glacier Copernicus Publications: E-Journals Antarctic Pine Island Glacier ENVELOPE(-101.000,-101.000,-75.000,-75.000) The Antarctic Geoscientific Model Development 12 6 2255 2283
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Oceanic melting beneath ice shelves is the main driver of the current mass loss of the Antarctic ice sheet and is mostly parameterised in stand-alone ice-sheet modelling. Parameterisations are crude representations of reality, and their response to ocean warming has not been compared to 3-D ocean–ice-sheet coupled models. Here, we assess various melting parameterisations ranging from simple scalings with far-field thermal driving to emulators of box and plume models, using a new coupling framework combining the ocean model NEMO and the ice-sheet model Elmer/Ice. We define six idealised one-century scenarios for the far-field ocean ranging from cold to warm, and representative of potential futures for typical Antarctic ice shelves. The scenarios are used to constrain an idealised geometry of the Pine Island glacier representative of a relatively small cavity. Melt rates and sea-level contributions obtained with the parameterised stand-alone ice-sheet model are compared to the coupled model results. The plume parameterisations give good results for cold scenarios but fail and underestimate sea level contribution by tens of percent for warm(ing) scenarios, which may be improved by adapting its empirical scaling. The box parameterisation with five boxes compares fairly well to the coupled results for almost all scenarios, but further work is needed to grasp the correct number of boxes. For simple scalings, the comparison to the coupled framework shows that a quadratic as opposed to linear dependency on thermal forcing is required. In addition, the quadratic dependency is improved when melting depends on both local and non-local, i.e. averaged over the ice shelf, thermal forcing. The results of both the box and the two quadratic parameterisations fall within or close to the coupled model uncertainty. All parameterisations overestimate melting for thin ice shelves while underestimating melting in deep water near the grounding line. Further work is therefore needed to assess the validity of these melting parameteriations in more realistic set-ups.
format Text
author Favier, Lionel
Jourdain, Nicolas C.
Jenkins, Adrian
Merino, Nacho
Durand, Gaël
Gagliardini, Olivier
Gillet-Chaulet, Fabien
Mathiot, Pierre
spellingShingle Favier, Lionel
Jourdain, Nicolas C.
Jenkins, Adrian
Merino, Nacho
Durand, Gaël
Gagliardini, Olivier
Gillet-Chaulet, Fabien
Mathiot, Pierre
Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3)
author_facet Favier, Lionel
Jourdain, Nicolas C.
Jenkins, Adrian
Merino, Nacho
Durand, Gaël
Gagliardini, Olivier
Gillet-Chaulet, Fabien
Mathiot, Pierre
author_sort Favier, Lionel
title Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3)
title_short Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3)
title_full Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3)
title_fullStr Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3)
title_full_unstemmed Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3)
title_sort assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model nemo(v3.6)–elmer/ice(v8.3)
publishDate 2019
url https://doi.org/10.5194/gmd-12-2255-2019
https://gmd.copernicus.org/articles/12/2255/2019/
long_lat ENVELOPE(-101.000,-101.000,-75.000,-75.000)
geographic Antarctic
Pine Island Glacier
The Antarctic
geographic_facet Antarctic
Pine Island Glacier
The Antarctic
genre Antarc*
Antarctic
Ice Sheet
Ice Shelf
Ice Shelves
Pine Island Glacier
genre_facet Antarc*
Antarctic
Ice Sheet
Ice Shelf
Ice Shelves
Pine Island Glacier
op_source eISSN: 1991-9603
op_relation doi:10.5194/gmd-12-2255-2019
https://gmd.copernicus.org/articles/12/2255/2019/
op_doi https://doi.org/10.5194/gmd-12-2255-2019
container_title Geoscientific Model Development
container_volume 12
container_issue 6
container_start_page 2255
op_container_end_page 2283
_version_ 1766262113108492288