Mesoscale patterns in turbulent convection with machine learning and quantum computing

TU Ilmenau Citizens’ Campus


Speaker: Jörg Schumacher, TU Ilmenau, Department of Mechanical Engineering, Head of Fluid Mechanics Group

Time: Friday, 02.06.2023, 15:00 hrs.

Place: TU Ilmenau, Faraday Building, Weimarer Straße 32

Admission: 5 Euro

Cloud street is the name given to the pattern that develops when cumulus clouds arrange themselves horizontally along the wind direction as if lined up. Granules and supergranules on the are also examples of such regular patterns in nature. The phenomenon that leads to such order in the apparent chaos of flows is what experts call turbulent convection processes. But where do regular patterns come from? What role do they play in heat transport in the flow? And what influence do they have on weather and climate? Prof. Jörg Schumacher, head of the Fluid Mechanics Group in the Department of Mechanical Engineering at TU Ilmenau, deals with such questions.

In his lecture at the TU Ilmenau Citizens’ Campus, Prof. Schumacher explains in a generally understandable way such complex phenomena as mesoscale patterns in turbulent convection. In meteorology, one speaks of a mesoscale convective system when, for example, thunderstorms combine to form a larger thunderstorm complex that exists for several hours. Because the turbulence in the atmosphere is apparently chaotic and changes rapidly, it is still difficult today to reliably predict these gigantic weather phenomena. Prof. Jörg Schumacher, who last year received an ERC Advanced Grant, the European Union’s most prestigious research grant, for his excellent cutting-edge research on flow turbulence, can now use machine-learning algorithms and super and quantum computers to better calculate and more effectively analyze the processes that lead to such structures. In this way, the use of artificial intelligence in flow research could lead to more accurate weather and climate predictions and improved models of solar activity in the future.