Scientific News Report
July 6, 2026 • Mr. E.O. Adamu
A recent study published in African Scientific Reports investigates chaotic behaviour in solar activity across six solar cycles using daily sunspot number, equivalent planetary amplitude, and solar radio flux data. By applying nonlinear dynamical tools such as correlation dimension, Lyapunov exponents, approximate entropy, Hurst exponent, and the GottwaldโMelbourne 0โ1 test, the study confirms low-dimensional deterministic chaos in all three parameters. The findings show strong persistence, long-term autocorrelation, and increasing chaoticity from solar cycle 19 to cycle 24, with solar radio flux displaying the highest chaotic behaviour. This work supports solar physics, space-weather modelling, solar-cycle prediction, and better understanding of how solar variability affects satellites, communication, navigation, and terrestrial technologies.
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