Regensburg 2019 – wissenschaftliches Programm
SYCZ 1.6: Hauptvortrag
Donnerstag, 4. April 2019, 12:15–12:45, H4
Long range temporal correlations in complex systems — •Holger Kantz1, Marc Hoell1,2, Mozhdeh Massah1, Philipp Meyer1, and Katja Polotzek1 — 1Max Planck Institute for the Physics of Complex Systems, Dresden, Germany — 2Department of Physics, Bar Ilan University, Israel
In the past 3 decades, hundreds of measured time series data from physical, environmental, biological, and economic systems have been shown to exhibit long range temporal correlations (LRC), which usually is attributed to some kind of memory in a system. Since first principles' models are usually memory-less ODEs or PDEs, it seems to be the complex dynamics of such systems which creates memory. In this talk, we will present the current state of understanding of LRC, starting with the detection and quantification of LRC which includes some pitfalls. We show some consequences of LRC on statistical inference, we present paradigmatic models for LRC data, and we address the issue of the source for such correlations. We exemplify these issues by an analysis of precipitation data and of global mean surface temperatures.