Transfer Entropy And Conditional Redundancy As Measures Of Causality For Internal And External Substorm Triggers

Details Transfer Entropy And Conditional Redundancy As Measures Of Causality For Internal And External Substorm Triggers Transfer Entropy And Conditional Redundancy As Measures Of Causality For Internal And External Substorm Triggers

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufmsm51b1798j&link_type=abstract

American Geophysical Union, Fall Meeting 2010, abstract #SM51B-1798

Physics

Geophysics

[1916] Informatics / Data And Information Discovery, [2722] Magnetospheric Physics / Forecasting, [2790] Magnetospheric Physics / Substorms, [3245] Mathematical Geophysics / Probabilistic Forecasting

Scientific paper

We examine the expanded substorm dataset compiled by Frey [J. Geophys. Res., 109, A10304, 2004] to evaluate the question of internal vs external triggering of substorms [see Hsu and McPherron, J. Geophys. Res., 107, 1398, 2002; Morley and Freeman, Geophys. Res. Lett., 34, L08104, 2006] using transfer entropy and conditional redundancy as a measures of causality. Conditional Redundancy and Transfer Entropy are particularly useful to identify causal relationships in data sets because they: (a) are highly directional, (b) include higher order, nonlinear correlations, and (c) distinguish between variables that are correlated because of a common driver and variables that are causally correlated. While previous work identified internal triggers based on extended periods of southward IMF, we also consider more direct measures of internal triggering such as the tail inclination angle, which serves as a proxy for the magnetic flux stored in the tail and/or diffuse auroral precipitation, which can serve as a proxy for the particle energy stored in the tail.

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