A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3)
International audience Providing reliable projections of the ice sheet contribution to future sea-level rise has become one of the main challenges of the ice sheet modelling community. To increase confidence in future projections, a good knowledge of the present-day state of ice flow dynamics, which...
Published in: | Geoscientific Model Development |
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Main Authors: | , , , , , |
Other Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2019
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Online Access: | https://hal.archives-ouvertes.fr/hal-02328234 https://hal.archives-ouvertes.fr/hal-02328234/document https://hal.archives-ouvertes.fr/hal-02328234/file/gmd-12-2481-2019.pdf https://doi.org/10.5194/gmd-12-2481-2019 |
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Université de Nantes: HAL-UNIV-NANTES |
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ftunivnantes |
language |
English |
topic |
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
spellingShingle |
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology Le Clec'H, Sébastien Quiquet, Aurélien Charbit, Sylvie Dumas, Christophe Kageyama, Masa Ritz, Catherine A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) |
topic_facet |
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
description |
International audience Providing reliable projections of the ice sheet contribution to future sea-level rise has become one of the main challenges of the ice sheet modelling community. To increase confidence in future projections, a good knowledge of the present-day state of ice flow dynamics, which is critically dependent on basal conditions, is strongly needed. The main difficulty is tied to the scarcity of observations at the ice-bed interface at the scale of the whole ice sheet, resulting in poorly constrained parameterisations in ice sheet models. To circumvent this drawback, inverse modelling approaches can be developed to infer initial conditions for ice sheet models that best reproduce available data. Most often such approaches allow for a good representation of the mean present-day state of the ice sheet but are accompanied with unphys-ical trends. Here, we present an initialisation method for the Greenland ice sheet using the thermo-mechanical hybrid GRISLI (GRenoble Ice Shelf and Land Ice) ice sheet model. Our approach is based on the adjustment of the basal drag coefficient that relates the sliding velocities at the ice-bed interface to basal shear stress in unfrozen bed areas. This method relies on an iterative process in which the basal drag is periodically adjusted in such a way that the simulated ice thickness matches the observed one. The quality of the method is assessed by computing the root mean square errors in ice thickness changes. Because the method is based on an adjustment of the sliding velocities only, the results are discussed in terms of varying ice flow enhancement factors that control the deformation rates. We show that this factor has a strong impact on the minimisation of ice thickness errors and has to be chosen as a function of the internal thermal state of the ice sheet (e.g. a low enhancement factor for a warm ice sheet). While the method performance slightly increases with the duration of the minimisation procedure, an ice thickness root mean square error (RMSE) of 50.3 m ... |
author2 |
Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Modélisation du climat (CLIM) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) |
format |
Article in Journal/Newspaper |
author |
Le Clec'H, Sébastien Quiquet, Aurélien Charbit, Sylvie Dumas, Christophe Kageyama, Masa Ritz, Catherine |
author_facet |
Le Clec'H, Sébastien Quiquet, Aurélien Charbit, Sylvie Dumas, Christophe Kageyama, Masa Ritz, Catherine |
author_sort |
Le Clec'H, Sébastien |
title |
A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) |
title_short |
A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) |
title_full |
A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) |
title_fullStr |
A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) |
title_full_unstemmed |
A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) |
title_sort |
rapidly converging initialisation method to simulate the present-day greenland ice sheet using the grisli ice sheet model (version 1.3) |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.archives-ouvertes.fr/hal-02328234 https://hal.archives-ouvertes.fr/hal-02328234/document https://hal.archives-ouvertes.fr/hal-02328234/file/gmd-12-2481-2019.pdf https://doi.org/10.5194/gmd-12-2481-2019 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet Ice Shelf |
genre_facet |
Greenland Ice Sheet Ice Shelf |
op_source |
ISSN: 1991-959X Geoscientific Model Development https://hal.archives-ouvertes.fr/hal-02328234 Geoscientific Model Development, European Geosciences Union, 2019, 12 (6), pp.2481-2499. ⟨10.5194/gmd-12-2481-2019⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-12-2481-2019 hal-02328234 https://hal.archives-ouvertes.fr/hal-02328234 https://hal.archives-ouvertes.fr/hal-02328234/document https://hal.archives-ouvertes.fr/hal-02328234/file/gmd-12-2481-2019.pdf doi:10.5194/gmd-12-2481-2019 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/gmd-12-2481-2019 |
container_title |
Geoscientific Model Development |
container_volume |
12 |
container_issue |
6 |
container_start_page |
2481 |
op_container_end_page |
2499 |
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1766018670007418880 |
spelling |
ftunivnantes:oai:HAL:hal-02328234v1 2023-05-15T16:28:59+02:00 A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) Le Clec'H, Sébastien Quiquet, Aurélien Charbit, Sylvie Dumas, Christophe Kageyama, Masa Ritz, Catherine Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Modélisation du climat (CLIM) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) 2019 https://hal.archives-ouvertes.fr/hal-02328234 https://hal.archives-ouvertes.fr/hal-02328234/document https://hal.archives-ouvertes.fr/hal-02328234/file/gmd-12-2481-2019.pdf https://doi.org/10.5194/gmd-12-2481-2019 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-12-2481-2019 hal-02328234 https://hal.archives-ouvertes.fr/hal-02328234 https://hal.archives-ouvertes.fr/hal-02328234/document https://hal.archives-ouvertes.fr/hal-02328234/file/gmd-12-2481-2019.pdf doi:10.5194/gmd-12-2481-2019 info:eu-repo/semantics/OpenAccess ISSN: 1991-959X Geoscientific Model Development https://hal.archives-ouvertes.fr/hal-02328234 Geoscientific Model Development, European Geosciences Union, 2019, 12 (6), pp.2481-2499. ⟨10.5194/gmd-12-2481-2019⟩ [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2019 ftunivnantes https://doi.org/10.5194/gmd-12-2481-2019 2022-10-18T23:40:26Z International audience Providing reliable projections of the ice sheet contribution to future sea-level rise has become one of the main challenges of the ice sheet modelling community. To increase confidence in future projections, a good knowledge of the present-day state of ice flow dynamics, which is critically dependent on basal conditions, is strongly needed. The main difficulty is tied to the scarcity of observations at the ice-bed interface at the scale of the whole ice sheet, resulting in poorly constrained parameterisations in ice sheet models. To circumvent this drawback, inverse modelling approaches can be developed to infer initial conditions for ice sheet models that best reproduce available data. Most often such approaches allow for a good representation of the mean present-day state of the ice sheet but are accompanied with unphys-ical trends. Here, we present an initialisation method for the Greenland ice sheet using the thermo-mechanical hybrid GRISLI (GRenoble Ice Shelf and Land Ice) ice sheet model. Our approach is based on the adjustment of the basal drag coefficient that relates the sliding velocities at the ice-bed interface to basal shear stress in unfrozen bed areas. This method relies on an iterative process in which the basal drag is periodically adjusted in such a way that the simulated ice thickness matches the observed one. The quality of the method is assessed by computing the root mean square errors in ice thickness changes. Because the method is based on an adjustment of the sliding velocities only, the results are discussed in terms of varying ice flow enhancement factors that control the deformation rates. We show that this factor has a strong impact on the minimisation of ice thickness errors and has to be chosen as a function of the internal thermal state of the ice sheet (e.g. a low enhancement factor for a warm ice sheet). While the method performance slightly increases with the duration of the minimisation procedure, an ice thickness root mean square error (RMSE) of 50.3 m ... Article in Journal/Newspaper Greenland Ice Sheet Ice Shelf Université de Nantes: HAL-UNIV-NANTES Greenland Geoscientific Model Development 12 6 2481 2499 |