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Geostrophic Turbulence
Abstract
The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from experiments, field measurements, and large-scale simulations at multiple spatiotemporal scales. Machine learning (ML) offers a wealth of techniques to extract ...Read More
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Citations
Cited by
Global observations of nonlinear mesoscale eddies
Chelton, D. B., Schlax, M. G., & Samelson, R. M. (2011) · Progress in Oceanography · doi:10.1016/j.pocean.2011.01.002 · Cited by 2,622
How well do we understand the dynamics of stratospheric warmings?
McIntyre, M. E. (1982) · Journal of the Meteorological Society of Japan Ser II · doi:10.2151/jmsj1965.60.1_37 · Cited by 317
Upper Ocean Turbulence from High-Resolution 3D Simulations
Klein, P., Hua, B. L., Lapeyre, G., Capet, X., Le Gentil, S., & Sasaki, H. (2008) · Journal of Physical Oceanography · doi:10.1175/2007jpo3773.1 · Cited by 317
On the Arrest of Inverse Energy Cascade and the Rhines Scale
Sukoriansky, S., Dikovskaya, N., & Galperin, B. (2007) · Journal of the Atmospheric Sciences · doi:10.1175/jas4013.1 · Cited by 155
Are general circulation models obsolete?
Balaji, V., Couvreux, F., Deshayes, J., Gautrais, J., Hourdin, F., & Rio, C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2202075119 · Cited by 84
Metadata
- Authors
- Rhines, P. B.
- Venue
- Annual Review of Fluid Mechanics
- Publisher
- Annual Reviews
- Published
- 1979-01
- Volume
- 11
- Issue
- 1
- Pages
- 401-441
- ISSN
- 0066-4189 (ISSN-L)
- 1545-4479
- OpenAlex
- W4229698746
- Cited by
- 395
- References
- 0
- FWCI
- 6.82
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rhines, P. B. (1979). Geostrophic Turbulence. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev.fl.11.010179.002153
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.