Information transfer and synchronization among the scales of climate variability: clues for understanding anomalies and extreme events?

0497839 - ÚI 2019 DE eng A - Abstract
Paluš, Milan
Information transfer and synchronization among the scales of climate variability: clues for understanding anomalies and extreme events?
Geophysical Research Abstracts. Roč. 19 (2017), s. 11460. ISSN 1607-7962.
[EGU General Assembly 2017. 23.04.2017-28.04.2017, Vienna]
Institutional support: RVO:67985807
https://meetingorganizer.copernicus.org/EGU2017/EGU2017-11460.pdf

Deeper understanding of complex dynamics of the Earth atmosphere and climate is inevitable for sustainable development, mitigation and adaptation strategies for global change and for prediction of and resilience against extreme events. Traditional (linear) approaches cannot explain or even detect nonlinear interactions of dynamical processes evolving on multiple spatial and temporal scales. Combination of nonlinear dynamics and information theory explains synchronization as a process of adjustment of information rates [1] and causal relations (à la Granger) as information transfer [2]. Information born in dynamical complexity or information transferred among systems on a way to synchronization might appear as an abstract quantity, however, information transfer is tied to a transfer of mass and energy, as demonstrated in a recent study using directed (causal) climate networks [2].

Permanent Link: http://hdl.handle.net/11104/0290316