Articles | Volume 17, issue 20
https://doi.org/10.5194/gmd-17-7445-2024
https://doi.org/10.5194/gmd-17-7445-2024
Model evaluation paper
 | 
25 Oct 2024
Model evaluation paper |  | 25 Oct 2024

Impact of ocean vertical-mixing parameterization on Arctic sea ice and upper-ocean properties using the NEMO-SI3 model

Sofia Allende, Anne Marie Treguier, Camille Lique, Clément de Boyer Montégut, François Massonnet, Thierry Fichefet, and Antoine Barthélemy

Related authors

Characteristics of ocean mesoscale eddies in the Canadian Basin from a high resolution pan-Arctic model
Noemie Planat, Carolina Olivia Dufour, Camille Lique, Jan Klaus Rieck, Claude Talandier, and L. Bruno Tremblay
EGUsphere, https://doi.org/10.5194/egusphere-2025-3527,https://doi.org/10.5194/egusphere-2025-3527, 2025
This preprint is open for discussion and under review for Ocean Science (OS).
Short summary
CMIP7 Data Request: Ocean and Sea Ice Priorities and Opportunities
Baylor Fox-Kemper, Patricia DeRepentigny, Anne Marie Treguier, Christian Stepanek, Eleanor O’Rourke, Chloe Mackallah, Alberto Meucci, Yevgeny Aksenov, Paul J. Durack, Nicole Feldl, Vanessa Hernaman, Céline Heuzé, Doroteaciro Iovino, Gaurav Madan, André L. Marquez, François Massonnet, Jenny Mecking, Dhrubajyoti Samanta, Patrick C. Taylor, Wan-Ling Tseng, and Martin Vancoppenolle
EGUsphere, https://doi.org/10.5194/egusphere-2025-3083,https://doi.org/10.5194/egusphere-2025-3083, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Anatomy of Arctic and Antarctic sea ice lows in an ocean–sea ice model
Benjamin Richaud, François Massonnet, Thierry Fichefet, Dániel Topál, Antoine Barthélemy, and David Docquier
EGUsphere, https://doi.org/10.5194/egusphere-2025-886,https://doi.org/10.5194/egusphere-2025-886, 2025
Short summary
Ensemble design for seasonal climate predictions: studying extreme Arctic sea ice lows with a rare event algorithm
Jerome Sauer, François Massonnet, Giuseppe Zappa, and Francesco Ragone
Earth Syst. Dynam., 16, 683–702, https://doi.org/10.5194/esd-16-683-2025,https://doi.org/10.5194/esd-16-683-2025, 2025
Short summary
Arctic regional changes revealed by clustering of sea-ice observations
Amélie Simon, Pierre Tandeo, Florian Sévellec, and Camille Lique
EGUsphere, https://doi.org/10.5194/egusphere-2025-704,https://doi.org/10.5194/egusphere-2025-704, 2025
Short summary

Related subject area

Climate and Earth system modeling
Correction of sea surface biases in the NEMO ocean general circulation model using neural networks
Andrea Storto, Sergey Frolov, Laura Slivinski, and Chunxue Yang
Geosci. Model Dev., 18, 4789–4804, https://doi.org/10.5194/gmd-18-4789-2025,https://doi.org/10.5194/gmd-18-4789-2025, 2025
Short summary
Representing lateral groundwater flow from land to river in Earth system models
Chang Liao, L. Ruby Leung, Yilin Fang, Teklu Tesfa, and Robinson Negron-Juarez
Geosci. Model Dev., 18, 4601–4624, https://doi.org/10.5194/gmd-18-4601-2025,https://doi.org/10.5194/gmd-18-4601-2025, 2025
Short summary
FINAM is not a model (v1.0): a new Python-based model coupling framework
Sebastian Müller, Martin Lange, Thomas Fischer, Sara König, Matthias Kelbling, Jeisson Javier Leal Rojas, and Stephan Thober
Geosci. Model Dev., 18, 4483–4498, https://doi.org/10.5194/gmd-18-4483-2025,https://doi.org/10.5194/gmd-18-4483-2025, 2025
Short summary
The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7
Nathan P. Gillett, Isla R. Simpson, Gabi Hegerl, Reto Knutti, Dann Mitchell, Aurélien Ribes, Hideo Shiogama, Dáithí Stone, Claudia Tebaldi, Piotr Wolski, Wenxia Zhang, and Vivek K. Arora
Geosci. Model Dev., 18, 4399–4416, https://doi.org/10.5194/gmd-18-4399-2025,https://doi.org/10.5194/gmd-18-4399-2025, 2025
Short summary
Enhancing winter climate simulations of the Great Lakes: insights from a new coupled lake–ice–atmosphere (CLIAv1) system on the importance of integrating 3D hydrodynamics with a regional climate model
Pengfei Xue, Chenfu Huang, Yafang Zhong, Michael Notaro, Miraj B. Kayastha, Xing Zhou, Chuyan Zhao, Christa Peters-Lidard, Carlos Cruz, and Eric Kemp
Geosci. Model Dev., 18, 4293–4316, https://doi.org/10.5194/gmd-18-4293-2025,https://doi.org/10.5194/gmd-18-4293-2025, 2025
Short summary

Cited articles

Allende, S.: sofiallende/nemo: v4.2.1 (NEMO-v4.2.1), Zenodo [code], https://doi.org/10.5281/zenodo.10732752, 2024. a
Allende, S., Fichefet, T., Goosse, H., and Treguier, A.: On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean, Ocean Model., 184, 102226, https://doi.org/10.1016/j.ocemod.2023.102226, 2023.​​​​​​​ a, b, c
Allende Contador, S.: Sensitivity experiments of the parameters involved in the turbulent kinetic energy mixed layer penetration scheme of the NEMO ocean model, Open Data @ UCLouvain, V1 [data set], https://doi.org/10.14428/DVN/NZSKTU, 2024. a
Axell, L.: Wind-driven internal waves and Langmuir circulations in a numerical ocean model of the southern Baltic Sea, J. Geophys. Res.-Oceans, 107, 25-1–25-20​​​​​​​, 2002. a
Batrak, Y. and Müller, M.: On the warm bias in atmospheric reanalyses induced by the missing snow over Arctic sea-ice, Nat. Commun., 10, 4170, https://doi.org/10.1038/s41467-019-11975-3, 2019.​​​​​​​ a
Download
Short summary
We study the parameters of the turbulent-kinetic-energy mixed-layer-penetration scheme in the NEMO model with regard to sea-ice-covered regions of the Arctic Ocean. This evaluation reveals the impact of these parameters on mixed-layer depth, sea surface temperature and salinity, and ocean stratification. Our findings demonstrate significant impacts on sea ice thickness and sea ice concentration, emphasizing the need for accurately representing ocean mixing to understand Arctic climate dynamics.
Share