KO-7   Tuesday July 9 - 15:30

MS30 Part 1 of 2 - Stochastic and multi-scale methods in climate science

MS30 Part 2 of 2

The climate system and its main constituents, such as atmosphere and oceans, are highly complex dynamical systems with a wide range of spatio-temporal scales. Because of their complexity and multiscale character, analysis of these systems is challenging and often involves numerical simulation. Modern developments in modeling and simulation of the climate system include the use of multiscale methods and/or stochastic modeling for representing small-scale processes in computational models of large-scale atmosphere/ocean flow. Another newly emerging research direction is the development of methodologies for analysis and efficient simulation of extreme events such as heat waves, often employing the theory of large deviations. This minisymposium will feature presentations that highlight these developments both from a theoretical and from more applied perspectives.

Daan Crommelin
Georg Gottwald

15:30 - 16:00 - Freddy Bouchet - Rare event and large deviation theory for climate and the solar system dynamics [Abstract]

16:00 - 16:30 - Tobias Grafke - Extreme Event Quantification for Rogue Waves in Deep Sea [Abstract]

16:30 - 17:00 - Anna Von der Heydt - Uncertainty quantification of climate sensitivity: State-dependence, extreme values and the probability of tipping [Abstract]

17:00 - 17:30 - Nikki Vercauteren - Towards stochastic modeling of turbulence in the stably stratified atmospheric boundary layer [Abstract]