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Titel Prediction of the stochastic behaviour of nonlinear systems by deterministic models as a classical time-passage probabilistic problem
VerfasserIn L. M. Ivanov, A. D. Jr. Kirwan, O. V. Melnichenko
Medientyp Artikel
Sprache Englisch
ISSN 1023-5809
Digitales Dokument URL
Erschienen In: Nonlinear Processes in Geophysics ; 1, no. 4 ; Nr. 1, no. 4, S.224-233
Datensatznummer 250000218
Publikation (Nr.) Volltext-Dokument vorhandencopernicus.org/npg-1-224-1994.pdf
 
Zusammenfassung
Assuming that the behaviour of a nonlinear stochastic system can be described by a Markovian diffusion approximation and that the evolution equations can be reduced to a system of ordinary differential equations, a method for the calculation of prediction time is developed. In this approach, the prediction time depends upon the accuracy of prediction, the intensity of turbulence, the accuracy of the initial conditions, the physics contained in the mathematical model, the measurement errors, and the number of prediction variables. A numerical application to zonal channel flow illustrates the theory. Some possible generalizations of the theory are also discussed.
 
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