Learning from successful applications of methods originating in statistical mechanics,
complex systems science, or information theory in one scientific field (eg, atmospheric …

Many solar wind parameters correlate with one another, which complicates the causal‐effect
studies of solar wind driving of the magnetosphere. Conditional mutual information (CMI) is …

Currently, there is no clear understanding of the comprehensive set of variables that controls
fluxes of relativistic electrons within the outer radiation belt. Herein, the methodology based …

Ecohydrological models vary in their sensitivity to forcing data and use available information
to different extents. We focus on the impact of forcing precision on ecohydrological model …

This review examines complexity science in the context of Heliophysics, describing it not as
a discipline, but as a paradigm. In the context of Heliophysics, complexity science is the …

Information-theoretic generalization of Granger causality principle, based on evaluation of
conditional mutual information, also known as transfer entropy (CMI/TE), is redefined in the …

We evaluate causal dependencies between thirteen indices that represent large-scale
climate patterns (El Nino/Southern Oscillation, the North Atlantic Oscillation, the Pacific …

An accurate understanding of dissimilarities in geomagnetic variability between quiet and
disturbed periods has the potential to vastly improve space weather diagnosis. In this work …

Correlation does not necessarily imply causation, and this is why causal methods have been
developed to try to disentangle true causal links from spurious relationships. In our study, we …

There is a general consensus that fluctuations in the solar wind magnetic field and/or the
Alfvenicity of the solar wind drive a solar wind-magnetosphere interaction. 11 years of hourly …