Investigating palaeoclimate conditions with nonlinear time series analysis

05.12.2022, 13:15 Uhr

MARUM I, Raum 2070

Norbert Marwan

Potsdam-Institut für Klimafolgenforschung

The study of palaeoclimate data is related with specific challenges, such as nonstationarities, nonlinear feedbacks, irregular sampling, or different kinds of uncertainties. Recurrence analysis and complex networks are concepts based on nonlinear dynamics and complex systems science that can help to identify regime transitions and couplings in palaeoclimate data. I demonstrate their potential for studying variations and couplings for selected palaeoclimate research questions.