dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Frank, J.E. | |
dc.contributor.author | Pol, H. van den | |
dc.date.accessioned | 2015-12-21T18:00:23Z | |
dc.date.available | 2015-12-21T18:00:23Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/21565 | |
dc.description.abstract | Recently Chekroun et al. developed a method based on so called ‘parameterising manifolds’ to study
stochastic (partial) differential equations. This method is promising for obtaining stochastic reduced models.
We apply their method to a model of the wind-driven ocean ocean circulation at midlatitudes. To model the
stream function ψ we use the quasi-geostrophic barotropic potential vorticity equation. The Reynolds number
(R) is used as bifurcation parameter. ψ is susceptible to several types of bifurcations. We study the pitchfork
bifurcation which occurs for R ≈ 36.6.
We apply reduction methods to model perturbations around the stationary state. First the deterministic case
is considered and the parameterising manifold approach is compared to the Galerkin type of method used in
Van der Vaart et al. It is shown that the ‘parameterising manifold’ approach may be seen as an extension of the Galerkin
method. To include also baroclinic effects, we model baroclinic instabilities by noise on the perturbations. The
stochastic reduced model we obtain from the parameterising manifold approach captures the dynamics of the
full stochastic model well. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 1364598 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Applying the parameterising manifold approach to the wind-driven circulation | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | stochastic, model reduction, parameterizing manifolds, parameterising manifolds, Chekroun, wind-driven circulation, Galerkin, parameterising manifold, stochastic model reduction | |
dc.subject.courseuu | Mathematical Sciences | |