Research activities

Overview

• theoretical aspects of complex dynamics,
  nonlinear stochastic processes.
  the relationship between dynamics and statistical physics,
  nonequilibrium statistical physics and fluctuation theorems
  extreme events
• novel concepts for time series analysis, essentially based on the idea of reconstruction of a state space from observations.
  Time series software package TISEAN
• modeling and prediction in atmospheric physics
  ensemble forecasts
  data assimilation
  statistical analysis of meteorological time series

Some more details

• dynamical systems with various time scales, modeling fast chaotic degrees of freedom by stochastic processes
• Hamiltonian systems with symplectic noise (Alexandra Kruscha)
• stochastic models for nonequilibrium thermodynamics and analysis of fluctuations (L\'eo Granger).
• Analysis of ensemble forecast data from ECMWF: outliers, linearity, interpretation of the ensemble, stratification (Stefan Siegert)
• Data assimilation by variational priciples (Jochen Bröcker)
• Sensitivity versus robustness in the geostrophic vorticity equation (Julia Gundermann)
• skill sores for probabilistic forecasts
• metastability in systems with multiplicative noise (Anja Garber, Nicholas Moloney)
• waiting time distributions and seasonal predictions (A. Garber, N. Moloney)

Ongoing PhD theses

Third parties funding: