Articles | Volume 17, issue 5
https://doi.org/10.5194/os-17-1251-2021
https://doi.org/10.5194/os-17-1251-2021
Research article
 | 
16 Sep 2021
Research article |  | 16 Sep 2021

Effects of strongly eddying oceans on multidecadal climate variability in the Community Earth System Model

André Jüling, Anna von der Heydt, and Henk A. Dijkstra

Related authors

Quantifying the feedback between Antarctic meltwater release and subsurface Southern Ocean warming
Erwin Lambert, Dewi Le Bars, Eveline van der Linden, André Jüling, and Sybren Drijfhout
EGUsphere, https://doi.org/10.5194/egusphere-2024-2257,https://doi.org/10.5194/egusphere-2024-2257, 2024
Short summary
The Southern Ocean Freshwater Input from Antarctica (SOFIA) Initiative: scientific objectives and experimental design
Neil C. Swart, Torge Martin, Rebecca Beadling, Jia-Jia Chen, Christopher Danek, Matthew H. England, Riccardo Farneti, Stephen M. Griffies, Tore Hattermann, Judith Hauck, F. Alexander Haumann, André Jüling, Qian Li, John Marshall, Morven Muilwijk, Andrew G. Pauling, Ariaan Purich, Inga J. Smith, and Max Thomas
Geosci. Model Dev., 16, 7289–7309, https://doi.org/10.5194/gmd-16-7289-2023,https://doi.org/10.5194/gmd-16-7289-2023, 2023
Short summary
Modelling Antarctic ice shelf basal melt patterns using the one-layer Antarctic model for dynamical downscaling of ice–ocean exchanges (LADDIE v1.0)
Erwin Lambert, André Jüling, Roderik S. W. van de Wal, and Paul R. Holland
The Cryosphere, 17, 3203–3228, https://doi.org/10.5194/tc-17-3203-2023,https://doi.org/10.5194/tc-17-3203-2023, 2023
Short summary
The acceleration of sea-level rise along the coast of the Netherlands started in the 1960s
Iris Keizer, Dewi Le Bars, Cees de Valk, André Jüling, Roderik van de Wal, and Sybren Drijfhout
Ocean Sci., 19, 991–1007, https://doi.org/10.5194/os-19-991-2023,https://doi.org/10.5194/os-19-991-2023, 2023
Short summary
The Atlantic's freshwater budget under climate change in the Community Earth System Model with strongly eddying oceans
André Jüling, Xun Zhang, Daniele Castellana, Anna S. von der Heydt, and Henk A. Dijkstra
Ocean Sci., 17, 729–754, https://doi.org/10.5194/os-17-729-2021,https://doi.org/10.5194/os-17-729-2021, 2021
Short summary

Cited articles

Berloff, P., Mc C. Hogg, A., and Dewar, W.: The turbulent oscillator: A mechanism of low-frequency variability of the wind-driven gyres, J. Phys. Oceanogr., 37, 2363–2386, https://doi.org//JPO3118.1, 2007a. a, b
Berloff, P. S., Dewar, W., Kravtsov, S., and McWilliams, J. C.: Ocean Eddy Dynamics in a Coupled Ocean–Atmosphere Model, J. Phys. Oceanogr., 37, 1103–1121, https://doi.org//JPO3041.1, 2007b. a
Biastoch, A., Lutjeharms, J. R. E., Böning, C. W., and Scheinert, M.: Mesoscale perturbations control inter-ocean exchange south of Africa, Geophys. Res. Lett., 35, L20602, https://doi.org/10.1029/2008GL035132, 2008. a
Bindoff, N. L., Stott, P. A., AchutaRao, K. M., Allen, M. R., Gillett, N., Gutzler, D., Hansingo, K., Hegerl, G., Hu, Y., Jain, S., Mokhov, I. I., Overland, J., Perlwitz, J., Sebbari, R., and Zhang, X.: Detection and Attribution of Climate Change: from Global to Regional, in: Climate Change 2013 – The Physical Science Basis, edited by: Intergovernmental Panel on Climate Change, vol. 9781107057, pp. 867–952, Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9781107415324.022, 2013. a
Brown, P. T., Li, W., and Xie, S.-P.: Regions of significant influence on unforced global mean surface air temperature variability in climate models, J. Geophys. Res.-Atmos., 120, 480–494, https://doi.org/10.1002/2014JD022576, 2015. a
Download
Short summary
On top of forced changes such as human-caused global warming, unforced climate variability exists. Most multidecadal variability (MV) involves the oceans, but current climate models use non-turbulent, coarse-resolution oceans. We investigate the effect of resolving important turbulent ocean features on MV. We find that ocean heat content, ocean–atmosphere heat flux, and global mean surface temperature MV is more pronounced in the higher-resolution model relative to higher-frequency variability.