Detecting and disentangling nonlinear structure from solar flux time series

Details Detecting and disentangling nonlinear structure from solar flux time series Detecting and disentangling nonlinear structure from solar flux time series

Aug 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992wadc.iafcq....a&link_type=abstract

IAF, International Astronautical Congress, 43rd, Washington, Aug. 28-Sept. 5, 1992. 12 p.

Astronomy and Astrophysics

Astronomy

Chaos, Power Spectra, Solar Activity Effects, Solar Flux, Strange Attractors, White Noise, Forecasting, High Frequencies, Interpolation, Liapunov Functions, Nonlinearity, Time Series Analysis

Scientific paper

Solar activity is known to change atmospheric density, with important effects on the predictions of spacecraft trajectory and lifetime. This paper introduces new chaotic solar forecasting techniques, based on the previously developed Rayleigh-Bernard nonlinear dynamic solar model which exhibits many dynamic behaviors observed in the sun. Numerical techniques are developed for decoupling additive and multiplicative white noise from deterministic dynamics, making it possible to examine falloff of the power spectra at high frequencies, as a possible means of distinguishing deterministic chaos from spectrally white or colored noise.

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