Tobias Braun is working as a doctoral researcher at the Potsdam Institute for Climate Impact Research since 2019. Under the purview of the DFG-funded project NEMACS (Nonlinear Empirical Mode Analysis of Complex Systems), he is conducting research on the detection of abrupt regime transitions in palaeoclimate proxy time series and on (non)linear spatio-temporal variability in climate and other complex systems. His main focus is centered on further developing and modifying nonlinear time series methodologies in order to account for frequently faced data-related challenges such as uncertainties and irregular sampling. To this extent, he employs methods ranging from recurrence plots over mode decomposition techniques to complex network analysis. Tobias holds a Master's degree in Physics from the University of Duisburg-Essen.
Contact
14412 Potsdam
ORCID
- Braun, T., Unni, V. R., Sujith, R. I., Kurths, J., & Marwan, N. (2021). Detection of Dynamical Regime Transitions with Lacunarity as a Multiscale Recurrence Quantification Measure. arXiv preprint arXiv:2101.10136.
- Braun, T., Waechter, M., Peinke, J., & Guhr, T. (2020). Correlated power time series of individual wind turbines: A data driven model approach. Journal of Renewable and Sustainable Energy, 12(2), 023301.
- Braun, T., Fiegen, J. A., Wagner, D. C., Krause, S. M., & Guhr, T. (2018). Impact and recovery process of mini flash crashes: An empirical study. PloS one, 13(5), e0196920.
Nonlinear Empirical Mode Analysis of Complex Systems: Development of General Approach and Applications in Climate (DFG)
Nonlinear Data Analysis Concepts (University of Potsdam, Institute of Geoscience, GEW-DAP02 )
Review Editor in Dynamical Systems: Frontiers in Applied Mathematics and Statistics
