PD Dr. rer. nat. habil. Norbert Marwan

• 1999 Physics: Univ of Technology Dresden
• 2003 PhD Physics: Univ of Potsdam
• 2019 Habil Geoscience: Univ of Potsdam

Research highlights

1. Development of the new time series analysis framework of recurrence networks, their use for detection of regime transitions and applications in physiology and climate.
2. Development of recurrence based coupling analysis, significance assessment of recurrence based data analysis, and recurrence analysis for high-dimensional systems with applications in cardio-respiratory systems, global warming, and monsoon systems.
3. Complex network analysis of climate data, in particular of extreme states. Identification of characteristic spatio-temporal patterns and teleconnections in monsoon systems as well as development of a prediction scheme for extreme rainfall using the network approach.
4. Multiscale approach for complex network analysis.
5. Theoretical justification of complex networks as representatives of atmospheric and ocean circulation. Boundary corrections for spatially embedded networks.
6. Framework for age-depth modelling of palaeoclimate proxy records and introduction of an “absolute time scale” by transferring dating uncertainties into the proxy domain.
7. Introduction of the "Transfer cost time series" (TACTS) approach for analysing time series with irregular sampling.
8. Development of the concept of basin stability for complex networks and application in power grid stability.

Selected publications

(full list: https://www.pik-potsdam.de/~marwan/publications.php)

1. N. Marwan, M. C. Romano, M. Thiel, J. Kurths: Recurrence Plots for the Analysis of Complex Systems, Physics Reports, 438(5–6), 237–329 (2007).
2. N. Marwan, J. F. Donges, Y. Zou, R. V. Donner, J. Kurths: Complex network approach for recurrence analysis of time series, Physics Letters A, 373(46), 4246–4254 (2009).
3. J. F. Donges, R. V. Donner, M. H. Trauth, N. Marwan, H. J. Schellnhuber, J. Kurths: Nonlinear detection of paleoclimate-variability transitions possibly related to human evolution, Proceedings of the National Academy of Sciences, 108(51), 20422–20427 (2011).
4. D. J. Kennett, S. F. M. Breitenbach, V. V. Aquino, Y. Asmerom, J. Awe, J. U. L. Baldini, P. Bartlein, B. J. Culleton, C. Ebert, C. Jazwa, M. J. Macri, N. Marwan, V. Polyak, K. M. Prufer, H. E. Ridley, H. Sodemann, B. Winterhalder, G. H. Haug: Development and Disintegration of Maya Political Systems in Response to Climate Change, Science, 338(6108), 788–791 (2012).
5. N. Boers, B. Bookhagen, H. M. J. Barbosa, N. Marwan, J. Kurths, J. A. Marengo: Prediction of extreme floods in the eastern Central Andes based on a complex networks approach, Nature Communications, 5, 5199 (2014).
6. N. Molkenthin, K. Rehfeld, N. Marwan, J. Kurths: Networks from Flows – From Dynamics to Topology, Scientific Reports, 4(4119), 1–5 (2014).
7. H. E. Ridley, Y. Asmerom, J. U. L. Baldini, S. F. M. Breitenbach, V. V. Aquino, K. M. Prufer, B. J. Culleton, V. Polyak, F. A. Lechleitner, D. J. Kennett, M. Zhang, N. Marwan, C. G. Macpherson, L. M. Baldini, T. Xiao, J. L. Peterkin, J. Awe, G. H. Haug: Aerosol forcing of the position of the intertropical convergence zone since ad 1550, Nature Geoscience, 8, 195–200 (2015).
8. J. Runge, V. Petoukhov, J. F. Donges, J. Hlinka, N. Jajcay, M. Vejmelka, D. Hartman, N. Marwan, M. Paluš, J. Kurths: Identifying causal gateways and mediators in complex spatio-temporal systems, Nature Communications, 6, 8502 (2015)
9. D. Eroglu, F. H. McRobie, I. Ozken, T. Stemler, K.-H. Wyrwoll, S. F. M. Breitenbach, N. Marwan, J. Kurths: See-saw relationship of the Holocene East Asian-Australian summer monsoon, Nature Communications, 7, 12929 (2016).
10. B. Goswami, N. Boers, A. Rheinwalt, N. Marwan, J. Heitzig, S. F. M. Breitenbach, J. Kurths: Abrupt transitions in time series with uncertainties, Nature Communications, 9, 48 (2018).
11. Y. Zou, R. V. Donner, N. Marwan, J. F. Donges, J. Kurths: Complex network approaches to nonlinear time series analysis, Physics Reports, 787, 1–97 (2019).
12. T. Westerhold, N. Marwan, A. J. Drury, D. Liebrand, C. Agnini, E. Anagnostou, J. S. K. Barnet, S. M. Bohaty, D. De Vleeschouwer, F. Florindo, T. Frederichs, D. A. Hodell, A. E. Holbourn, D. Kroon, V. Lauretano, K. Littler, L. J. Lourens, M. Lyle, H. Pälike, U. Röhl, J. Tian, R. H. Wilkens, P. A. Wilson, J. C. Zachos: An astronomically dated record of Earth's climate and its predictability over the last 66 million years, Science, 369(6509), 1383–1387 (2020).
13. M. Singh, R. Krishnan, B. Goswami, A. D. Choudhury, P. Swapna, R. Vellore, A. G. Prajeesh, N. Sandeep, C. Venkataraman, R. V. Donner, N. Marwan, J. Kurths: Fingerprint of volcanic forcing on the ENSO–Indian monsoon coupling, Science Advances, 6, eaba8164 (2020).

• DFG: Impacts of uncertainties in climate data analyses (IUCliD): Approaches to working with measurements as a series of probability distributions
• DFG: Natural Hazards and Risks in a Changing World
• DFG: Recurrence plot analysis of regime changes in dynamical Systems
• DFG: Nonlinear Empirical Mode Analysis of Complex Systems: Development of General Approach and Applications in Climate
• DFG: Trends, rhythms and events in East African climate: statistical analysis of the paleoclimare records of the long sediment cores of the Chew Bahir basin
• BMBF: Klimawandel und Extremereignisse (climXtreme)
• EU: Tipping points in the Earth system – Towards sharper estimates of critical forcing levels (TiPES)
• EU: QUantitative paleoEnvironments from SpeleoThems (QUEST)

University of Potsdam, Institute of Geoscience

• GEW-DAP02 Nonlinear Data Analysis Concepts
• Data Management in the Geosciences

Past and current

International Journal of Bifurcation and Chaos, Nonlinear Processes in Geophysics, Frontiers in Applied Mathematics and Statistics, Journal of Chaos, Entropy, Frontiers in Applied Mathematics and Statistics, The Journal of Chaos

Guest editor

Chaos, The European Physical Journal ST, Springer Series in Complexity, Springer Proceedings in Mathematics and Statistics, Quaternary Science Reviews