The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Low‐frequency variability of the large‐scale ocean circulation: A dynamical systems approach
Open accessAbstract
Oceanic variability on interannual, interdecadal, and longer timescales plays a key role in climate variability and climate change. Paleoclimatic records suggest major changes in the location and rate of deepwater formation in the Atlantic and Southern oceans on timescales from millennia to millions of years. Instrumental records of increasing duration and spatial coverage document substantial variability in the path and intensity of ocean surface currents on timescales of months to decades. We review recent theoretical and numerical results that help explain the physical processes governing the large‐scale ocean circulation and its intrinsic variability. To do so, we apply systematically the methods of dynamical systems theory. The dynamical systems approach is proving successful for more and more detailed and realistic models, up to and including oceanic and coupled ocean‐atmosphere general circulation models. In this approach one follows the road from simple, highly symmetric model solutions, through a “bifurcation tree,” toward the observed, complex behavior of the system under investigation. The observed variability can be shown to have its roots in simple transitions from a circulation with high symmetry in space and regularity in time to circulations with successively lower symmetry in space and less regularity in time. This road of successive bifurcations leads through multiple equilibria to oscillatory and eventually chaotic solutions. Key features of this approach are illustrated in detail for simplified models of two basic problems of the ocean circulation. First, a barotropic model is used to capture major features of the wind‐driven ocean circulation and of the changes in its behavior as wind stress increases. Second, a zonally averaged model is used to show how the thermohaline ocean circulation changes as buoyancy fluxes at the surface increase. For the wind‐driven circulation, multiple separation patterns of a “Gulf‐Stream like” eastward jet are obtained. These multiple equilibria are followed by subannual and interannual oscillations of the jet and of the entire basin's circulation. The multiple equilibria of the thermohaline circulation include deepwater formation near the equator, near either pole or both, as well as intermediate possibilities that bear some degree of resemblance to the currently observed Atlantic overturning pattern. Some of these multiple equilibria are subject, in turn, to oscillatory instabilities with timescales of decades, centuries, and millennia. Interdecadal and centennial oscillations are the ones of greatest interest in the current debate on global warming and on the relative roles of natural and anthropogenic variability in it. They involve the physics of the truly three‐dimensional coupling between the wind‐driven and thermohaline circulation. To arrive at this three‐dimensional picture, the bifurcation tree is sketched out for increasingly complex models for both the wind‐driven and the thermohaline circulation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Pedlosky, J., & Leibovich, S. (1981) · Journal of Applied Mechanics · doi:10.1115/1.3157711 · Cited by 4,631
Global observations of oceanic Rossby waves.
Chelton, D. B., & Schlax, M. G. (1996) · Science · doi:10.1126/science.272.5259.234 · Cited by 828
Century-scale effects of increased atmospheric C02 on the ocean–atmosphere system
Manabe, S., & Stouffer, R. J. (1993) · Nature · doi:10.1038/364215a0 · Cited by 490
Cited by
Decadal Variability of the Kuroshio Extension: Observations and an Eddy-Resolving Model Hindcast*
Taguchi, B., Xie, S.-P., Schneider, N., Nonaka, M., Sasaki, H., & Sasai, Y. (2007) · Journal of Climate · doi:10.1175/jcli4142.1 · Cited by 287
Oscillatory modes of extended Nile River records (A.D. 622–1922)
Kondrashov, D., Feliks, Y., & Ghil, M. (2005) · Geophysical Research Letters · doi:10.1029/2004gl022156 · Cited by 133
Self-citationHerbert, C., Caballero, R., & Bouchet, F. (2020) · Journal of the Atmospheric Sciences · doi:10.1175/jas-d-19-0089.1 · Cited by 27
Metadata
- Authors
- Dijkstra, H. A., & Ghil, M.
- Venue
- Reviews of Geophysics
- Publisher
- American Geophysical Union (AGU)
- Published
- 2005-09
- Volume
- 43
- Issue
- 3
- ISSN
- 0096-1043 (ISSN-L)
- 8755-1209
- 1944-9208
- OpenAlex
- W2074878468
- Cited by
- 252
- References
- 3
- FWCI
- 10.46
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Low‐frequency variability of the large‐scale ocean circulation: A dynamical systems approach. https://app.cochat.ai/papers/10.1029/2002rg000122
- The paper
- Dijkstra, H. A., & Ghil, M. (2005). Low‐frequency variability of the large‐scale ocean circulation: A dynamical systems approach. Reviews of Geophysics. https://doi.org/10.1029/2002rg000122
Data sources
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.