Stochastic Climate Models 2001
DOI: 10.1007/978-3-0348-8287-3_10
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Exponential stability of the quasigeostrophic equation under random perturbations

Abstract: Progress in Probability 49(2001), 241-256. The quasigeostrophic model describes large scale and relatively slow fluid motion in geophysical flows. We investigate the quasigeostrophic model under random forcing and random boundary conditions. We first transform the model into a partial differential equation with random coefficients. Then we show that, under suitable conditions on the random forcing, random boundary conditions, viscosity, Ekman constant and Coriolis parameter, all quasigeostrophic motion approac… Show more

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Cited by 10 publications
(13 citation statements)
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“…There is recent work on random dynamical attractors for the quasigeostrophic flow model by Duan et al [6]. A consequence of that work implies that, when viscosity is sufficiently large and when the trace of the covariance operator for the Wiener process is sufficiently small, then all quasigeostrophic motions approach a point random attractor exponentially fast as time goes to infinity.…”
Section: Discussionmentioning
confidence: 99%
“…There is recent work on random dynamical attractors for the quasigeostrophic flow model by Duan et al [6]. A consequence of that work implies that, when viscosity is sufficiently large and when the trace of the covariance operator for the Wiener process is sufficiently small, then all quasigeostrophic motions approach a point random attractor exponentially fast as time goes to infinity.…”
Section: Discussionmentioning
confidence: 99%
“…With this alternative viewpoint, Markov chains in random environments arise in analyses of time-dependent dynamical systems, such as models of stirred fluids [13] and circulation models of the ocean and atmosphere [8,2,4]. In these settings, one can convert the typically low-dimensional nonlinear dynamics into infinite-dimensional linear dynamics by studying the dynamical action on functions on the low-dimensional space, (representing densities of invariant measures with respect to a suitable reference measure).…”
Section: Alternative Viewpoint Of the Random Environment And Applicatmentioning
confidence: 99%
“…There are many works about mathematical study of some stochastic climate models, see, e.g., [6][7][8]19,20]. Ref.…”
Section: Introductionmentioning
confidence: 99%