Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1360
Authors: Kutiev, I.* 
Muhtarov, P.* 
Cander, L. R.* 
Levy, M. F.* 
Title: Short-term prediction of ionospheric parameters based on auto-correlation analysis
Issue Date: Feb-1999
Series/Report no.: 1/42 (1999)
URI: http://hdl.handle.net/2122/1360
Keywords: Ionospheric F region
prediction
auto-correlation method
Subject Classification01. Atmosphere::01.02. Ionosphere::01.02.03. Forecasts 
Abstract: A prediction method based on a simple auto-regressive model has been developed for short-term prediction of ionospheric characteristics. The method determines the auto-correlation function for the hourly values of the parameter of interest, using the time series from the previous 25 days. The resulting weighting coefficients can then be used to forecast future values of the parameter. The method has been applied to predict f0F2 up to 24 h ahead for stations Uppsala, Slough, Poitiers and Sofia. Error statistics are presented
Appears in Collections:Annals of Geophysics

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