Lagrangian Least-Squares Prediction of Solar Flux (¯F10.7)

作者: Robert L. Holland , William W. Vaughan

DOI: 10.1029/JA089IA01P00011

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摘要: The result of a study on the application an improved statistical prediction method for estimating intermediate-term (months) and long-term (years) behavior solar flux is discussed. indicates that better predictions, in chi square sense, are possible by selecting sets data such each set (cycle) starts ends at maxima (or minima) base initialization point procedure. Then one applies Lagrangian least-squares technique. Evidence also presented to support existence aperiodic variation periods as well amplitudes.

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