Chairs: Nikki Vercauteren, Peter Koltai, Abhishek Parswarar Harikrishnan
Phenomenological modelling has been long since used to describe turbulent flow dynamics. Most modelling approaches used in fluid mechanics and in atmospheric sciences rely on statistical physics ideas applied to close the equations used to represent the evolution of large-scale flow structures. Structures with certain degrees of coherence however exist and have been observed at all scales – examples include vortical structures, convective cells or hurricanes. Theoretical understanding of the dynamics of structures on multiple scales could lead to different ways of closing the turbulent flow equations when all scales cannot be resolved numerically.
Additionally, new data-driven approaches enable to automatically uncover structures of dynamical relevance at a multitude of scales – a two-in-one modelling approach through which closure schemes can be learned from detailed simulations of turbulent flows. This mini symposium aims at gathering contributions in these theoretical and data-driven areas to advance understanding of turbulent and atmospheric flows.
Find abstracts for all talks here or linked individually below.
11:00 |
Kathrin Padberg-Gehle (Leuphana University Lueneburg, Germany) Transport analysis in turbulent convection by Lagrangian trajectories |
11:30 |
Oliver Junge (TU Munich) Linear response for the dynamic Laplacian and finite-time coherent sets |
12:00 |
Federica Gugole (CWI, Amsterdam, The Netherlands) Detecting turbulence structure via Dynamic Mode Decomposition |
12:30 | Open Discussion |
13:00 |
Lunch Break |
14:30 |
Berengere Dubrulle (CNRS-CEA, Saclay, France) Can we simulate climate change? The lessons from a laboratory experiment |
15:00 |
Tom Doerffel (FU Berlin) |
15:30 |
Qi (Rose) Yu (UC San Diego, USA) |
16:00 |
Open Discussion |