Articles | Volume 21, issue 2
https://doi.org/10.5194/os-21-807-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.Coupled estimation of internal tides and turbulent motions via statistical modal decomposition
Related subject area
Approach: Numerical Models | Properties and processes: Internal waves, turbulence and mixing
Seasonal variability in the semidiurnal internal tide – a comparison between sea surface height and energetics
Ocean Sci., 20, 1187–1208,
2024Cited articles
Berkooz, G., Holmes, P., and Lumley, J.: The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows, Annu. Rev. Fluid Mech., 25, 539–575, https://doi.org/10.1146/annurev.fl.25.010193.002543, 2003. a, b
Boree, J.: Extended proper orthogonal decomposition: A tool to analyse correlated events in turbulent flows, Exp. Fluids, 35, 188–192, https://doi.org/10.1007/s00348-003-0656-3, 2003. a, b
Brunet, G. and Vautard, R.: Empirical normal modes versus empirical orthogonal functions for statistical prediction, J. Atmos. Sci., 53, 3468–3489, https://doi.org/10.1175/1520-0469(1996)053<3468:ENMVEO>2.0.CO;2, 1996. a
Bühler, O.: Waves and Mean Flows, in: 2nd Edn., Cambridge Monographs on Mechanics, Cambridge University Press, https://doi.org/10.1017/CBO9781107478701, 2014. a, b
Burns, K. J., Vasil, G. M., Oishi, J. S., Lecoanet, D., and Brown, B. P.: Dedalus: A flexible framework for numerical simulations with spectral methods, Physical Review Research, 2, 023068, https://doi.org/10.1103/PhysRevResearch.2.023068, 2020. a