Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems

Publication briefs

Publication type: Scientific Report
Authors: Rui A. P. Perdigão; Julia Hall
Date: November 11th, 2020
Title: Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems
DOI: https://doi.org/10.46337/201111.
Cite as: Perdigão R. A. P.; Hall J. (2020): Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. https://doi.org/10.46337/201111.
Indexed: Yes (Crossref)

Other formats: Contribution NG009-0006 to the AGU Fall Meeting 2020:
Public Summary: https://agu.confex.com/agu/fm20/meetingapp.cgi/Paper/721649
iPoster: https://agu2020fallmeeting-agu.ipostersessions.com/?s=CA-7E-33-EB-B1-2C-A7-36-2C-5B-74-C9-FB-4C-D6-C4
(Presented and discussed live online on December 16th, 2020)

Methodological Keywords: Causation, Prediction, Causality, Thermodynamics, Physics of Time, Synergy, Coevolution, Complexity, Emergence, Complex Systems, Dynamical Systems, Information Theory, Information Physics, Fluid Dynamics, Predictability, Mathematical Physics, Differential Geometry, Fractional Differential Geometry, Chaos, Entropy, Turbulence, Critical Transitions, Extreme Events, Non-Ergodic Information.

For further information and queries, please contact: mdsc[at]meteoceanics.eu.

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