This work is concerned with a new method for extracting inbred linear-nonlinear coupled differential equations from multivariate discrete time series data and is applied to f0F2 forecasting. It is assumed that the solution of the coupled ordinary differential equations can be represented as a multivariate Volterra functional expansion. A tractable hierarchy of moment equations is generated by operating on a suitably truncated Volterra functional expansion. The hierarchy facilitates the calculation of the coefficients of the coupled differential equations. A dynamic global mid-/high-magnetic latitude ionospheric model is developed which can characterise nonlinear phenomena such as period doubling and quenching occurrences. (7 pages)
Inspec keywords: linear differential equations; Volterra equations; ionospheric electromagnetic wave propagation; nonlinear differential equations; radiowave propagation; functional equations; time series; F-region; method of moments
Subjects: Nonlinear and functional equations (numerical analysis); Differential equations (numerical analysis); F-region; Numerical approximation and analysis; Ionospheric electromagnetic wave propagation; Integral equations (numerical analysis); Radiowave propagation
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content/conferences/10.1049/ic_19961181
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