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Titel |
Successive bifurcations in a shallow-water model applied to the wind-driven ocean circulation |
VerfasserIn |
S. Speich, H. Dijkstra, M. Ghil |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1023-5809
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Digitales Dokument |
URL |
Erschienen |
In: Nonlinear Processes in Geophysics ; 2, no. 3/4 ; Nr. 2, no. 3/4, S.241-268 |
Datensatznummer |
250000258
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Publikation (Nr.) |
copernicus.org/npg-2-241-1995.pdf |
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Zusammenfassung |
Climate - the "coarse-gridded" state of the coupled
ocean - atmosphere system - varies on many time and space scales. The challenge is to relate
such variation to specific mechanisms and to produce verifiable quantitative explanations.
In this paper, we study the oceanic component of the climate system and, in particular,
the different circulation regimes of the mid-latitude win driven ocean on the interannual
time scale. These circulations are dominated by two counterrotating, basis scale gyres:
subtropical and subpolar. Numerical techniques of bifurcation theory are used to stud the
multiplicity and stability of the steady-state solution of a wind-driven, double-gyre,
reduced-gravity, shallow water model. Branches of stationary solutions and their linear
stability are calculated systematically as parameter are varied. This is one of the first
geophysical studies i which such techniques are applied to a dynamical system with tens of
thousands of degrees of freedom. Multiple stationary solutions obtain as a result of
nonlinear interactions between the two main recirculating cell (cyclonic and
anticyclonic)
of the large- scale double-gyre flow. These equilibria appear for realistic values of the
forcing and dissipation parameters. They undergo Hop bifurcation and transition to
aperiodic solutions eventually occurs. The periodic and chaotic behaviour is probably
related to an increased number of vorticity cells interaction with each other. A
preliminary comparison with observations of the Gulf Stream and Kuroshio Extensions
suggests that the intern variability of our simulated mid-latitude ocean is a important
factor in the observed interannual variability o these two current systems. |
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