Tobias Braun has been working as a doctoral researcher at Potsdam Institute for Climate Impact Research between 2019-2022. Under the purview of the DFG-funded project NEMACS (Nonlinear Empirical Mode Analysis of Complex Systems), he further developed nonlinear time series analysis methods based on recurrence plots and identified significant transitions in palaeoclimate proxy records along with their societal repercussions. He is now affiliated with the Potsdam Institute for Climate Impact Research as a guest researcher.
After finishing his PhD, he pursued a short postdoctoral placement in the ClimXtreme project where he investigated the spatiotemporal characteristics of global atmospheric rivers and their role in triggering heavy precipitation events. Afterwards, he carried out research visits at the Indian Institute of Technology Madras, GFZ-Potsdam, Barcelona Institute of Complex Systems and EPhysLab at University Vigo. Currently, he is a postdoctoral researcher at the Institute for Earth System Science and Remote Sensing at Leipzig University within the ESA-funded ARNETLAB project (https://eo4society.esa.int/projects/arnetlab/). His current interdisciplinary research interests include complex networks, atmospheric rivers, natural hazards, recurrence analysis and palaeoseasonality. Tobias holds a Master's degree in Physics from the University of Duisburg-Essen.
Contact
14412 Potsdam
ORCID
Institute for Earth System Science and Remote Sensing
- 2012-2017: B. Sc. / M. Sc. Physics (University Duisburg-Essen)
- 2019-2022: PhD (University Potsdam)
Research Highlights
- Development of global atmospheric river catalog and a transport network framework
- Development of a power spectral estimate for discrete/event-like data
- Transfer of muli-scale/self-similarity concepts to recurrence analysis
- Detection of a decline in seasonal predictability that might have contributed to disintegration of Classic Maya societies
(selected publications, full list on Google Scholar)
- Braun, T. (2023). "Recurrences in past climates: novel concepts & tools for the study of Palaeoseasonality and beyond." Diss. Universität Potsdam, https://doi.org/10.25932/publishup-58690
- Marwan. N. and Braun, T. (2023). "Power spectral estimate for discrete data." Chaos: An Interdisciplinary Journal of Nonlinear Science 33.5.
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Braun, T., et al (2023). "Decline in seasonal predictability potentially destabilized Classic Maya societies." Communications Earth & Environment 4.1: 82.
- 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." Nonlinear Dynamics 104.4: 3955-3973.
- ESA: Earth Surface Impacts of Hydrological Extremes along Global Atmospheric River Networks (ARNETLAB), Living Planet Fellowship, Leipzig University
- HIDA: Recurrence-based classification of seismic events in a steep mountain catchment, Helmholtz Visiting Researcher Grant
- DFG: Nonlinear Empirical Mode Analysis of Complex Systems: Development of General Approach and Applications in Climate
- BMBF: Klimawandel und Extremereignisse (climXtreme)
- Nonlinear Data Analysis Concepts (University of Potsdam, Institute of Geoscience, GEW-DAP02, 2020-2022)
- Econophysics (University Duisburg-Essen, Faculty of Physics, 2015-2017)
- 2023-: Academic Editor, PLOS Complex Systems
- 2023 Edward N. Lorenz Early Career Award
