Near-Earth space plasma modelling and forecasting

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Hal J. Strangeways
Ivan Kutiev
Ljiljana R. Cander
Stamatis Kouris
Vadim Gherm
Diego Marin
Benito De La Morena
S. Eleri Pryse
Loredana Perrone
Marco Pietrella
Stanimir Stankov
Lukasz Tomasik
Ersin Tulunay
Yurdanur Tulunay
Nikolay Zernov
Bruno Zolesi

Abstract

In the frame of the European COST 296 project (Mitigation of Ionospheric Effects on Radio Systems, MIERS)

in the Working Package 1.3, new ionospheric models, prediction and forecasting methods and programs as well

as ionospheric imaging techniques have been developed. They include (i) topside ionosphere and meso-scale irregularity models, (ii) improved forecasting methods for real time forecasting and for prediction of foF2,

M(3000)F2, MUF and TECs, including the use of new techniques such as Neurofuzzy, Nearest Neighbour, Cascade Modelling and Genetic Programming and (iii) improved dynamic high latitude ionosphere models through tomographic imaging and model validation. The success of the prediction algorithms and their improvement over existing methods has been demonstrated by comparing predictions with later real data. The collaboration between different European partners (including interchange of data) has played a significant part in the development and validation of these new prediction and forecasting methods, programs and algorithms which can be applied to a variety of practical applications leading to improved mitigation of ionosphereic and space weather effects.


Article Details

How to Cite
1.
Strangeways HJ, Kutiev I, Cander LR, Kouris S, Gherm V, Marin D, De La Morena B, Pryse SE, Perrone L, Pietrella M, Stankov S, Tomasik L, Tulunay E, Tulunay Y, Zernov N, Zolesi B. Near-Earth space plasma modelling and forecasting. Ann. Geophys. [Internet]. 2009Apr.25 [cited 2022Oct.2];52(3-4):255-71. Available from: https://www.annalsofgeophysics.eu/index.php/annals/article/view/4579
Section
OLD

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