Computational methods for coherent sets and coherent transport

• Applicants: Professor Dr. Oliver Junge; Dr. Daniel Karrasch
• Subject Area: Mathematics
• Term: from 2016 to 2020
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 316201505

Long living superstructures in turbulent fluids may be characterized as so-called (Lagrangian) coherent sets of the underlying time-dependent velocity field. These sets can be computed elegantly as sublevel sets of eigenfunctions of a certain linear operator, the transfer operator. Traditionally, the discretization of this operator has been based on the computation of a large number of Lagrangian trajectories and low order ansatz functions in space, resulting in rather expensive computations for even moderate accuracy and small problems. Recently, techniques have been proposed which use high-order ansatz functions and a direct time integration of the associated Fokker-Planck equation. This approach allows to compute Lagrangian coherent sets without computing Lagrangian trajectories. However, these methods are not yet applicable to 3D turbulent fluid flows which require a high spatial resolution.Within this project, in order to detect superstructures effectively and rapidly, we are going to develop new numerical techniques for a fast and reliable discretization of the transfer operator eigenproblem. This in turn will allow to predict the emergence or bifurcation of superstructures and potentially allow for short-term forecasts of extreme events. In order to quantify the fluxes of mass, heat and momentum across interfaces, we will further develop a new set-oriented methodology of transport in general 3D flows from the Lagrangian viewpoint, including a fast numerical implementation.

• DFG Programme: Priority Programmes
• Subproject of: SPP 1881: Turbulent Superstructures
• International Connection: Australia
• Cooperation Partner: Professor Dr. Gary Froyland