| Title: |
Benefits of a Landfast Ice Representation on Simulated Antarctic Sea Ice and Coastal Polynya Dynamics |
| Authors: |
Pirlet, Noé; Fichefet, Thierry; Vancoppenolle, Martin; Fraser, Alexander; Mathiot, Pierre; Barriat, Pierre-Yves; rousset, clement; Barthélemy, Antoine; Pelletier, C.; Madec, Gurvan; Kittel, Christoph |
| Contributors: |
Université Catholique de Louvain = Catholic University of Louvain (UCL); Nucleus for European Modeling of the Ocean (LOCEAN-NEMO R&D); Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN); Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)); École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-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)-École polytechnique (X); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité); University of Tasmania Hobart (UTAS); 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)-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA); European Centre for Medium-Range Weather Forecasts (ECMWF); Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich (ULiège); Vrije Universiteit Brussel Bruxelles (VUB); This research was conducted within the Belgian National Fund of Scientific Research (FNRS), project LICEPOD, PDR Grant T.0079.22. Computational resources have been provided by the supercomputing facilities of the UCLouvain (CISM/UCL) and the Consortium des Equipements de Calcul Intensif en Fédération Wallonie Bruxelles (CECI), funded by the Fonds de la Recherche Scientifique—FNRS (F.R.S.–FNRS) (convention no. 2.5020.11) and by the Walloon Region. This project has received grant funding from Agence Nationale de la Recherche—France 2030as part of the PEPR TRACCS programme under Grant ANR‐22‐EXTR‐008, and from the Australian Government as part ofthe Antarctic Science Collaboration Initiative program. ADF is supported by ARC Grants FT230100234, LP170101090, LE220100103, and DP240100325, and acknowledges the generous support of the Harris CharitableTrust through the Antarctic Science Foundation.; ANR-22-EXTR-0008,IMPRESSION-ESM,TRansformative Advances in Climate modelling for Climate Services - Projet Ciblé 7 - IMproving the physical PRocESS representatION in Earth System Models(2022) |
| Source: |
ISSN: 2169-9275. |
| Publisher Information: |
CCSD; Wiley-Blackwell |
| Publication Year: |
2025 |
| Collection: |
Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
| Subject Terms: |
Antarctica; Sea ice; polynyas; modelling; landfast ice; [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology; [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
| Description: |
International audience ; The Antarctic coastal marine region is a unique and highly complex environment, of which landfast ice and polynyas are key features, especially in the context of dense water formation. Current large‐scale ocean‐sea ice models used in climate studies simulate hardly any Antarctic landfast ice, which has presumably negative implications on sea ice and polynya dynamics. Here we develop, implement, and evaluate an empirical circumpolar Antarctic landfast‐ice representation for large‐scale ocean‐sea ice models. This representation is based on the restoring of sea ice velocity to zero where and when landfast ice is observed, according to a recently released circum‐Antarctic landfast ice database. Using 2001–2017 hindcast simulations with the NEMO‐ model, we demonstrate that prescribing landfast ice not only ensures accurate landfast ice coverage, as expected, but also largely improves the simulated landfast ice thickness and polynya dynamics. This includes more realistic polynya coverage, individual polynya shape, frequency, and ice production rates. Additionally, the model low bias in summer ice extent is reduced, as prescribing landfast ice locks thicker ice near the coast, taking longer to melt. Our simulations also give the first estimate of landfast ice volume, representing 10.6% of the pan‐Antarctic total, compared to 3.8% of the total Antarctic sea ice extent. We argue that velocity restoring is appropriate for some investigations of the Antarctic landfast ice over the recent past, but not for the remote past or future projections, for which a physical representation of landfast ice drivers, particularly iceberg‐sea ice interactions, is necessary. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://doi.org/10.5281/zenodo.13985478 |
| DOI: |
10.1029/2024JC022032 |
| Availability: |
https://hal.science/hal-05247283; https://hal.science/hal-05247283v1/document; https://hal.science/hal-05247283v1/file/Pirlet_et_al_JGR25_landfastice.pdf; https://doi.org/10.1029/2024JC022032 |
| Rights: |
https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.32FEA2EB |
| Database: |
BASE |