Near-Earth space plasma modelling and forecasting

Strangeways, Hal J.
Kutiev, Ivan
Cander, Ljiljana R.
Kouris, Stamatis
Gherm, Vadim
Marin, Diego
De La Morena, Benito
Pryse, S. Eleri
Perrone, Loredana
Pietrella, Marco
Stankov, Stanimir
Tomasik, Lukasz
Tulunay, Ersin
Tulunay, Yurdanur
Zernov, Nikolay
Zolesi, Bruno
In the frame of the European COST 296 project (Mitigation of Ionospheric Effects oil 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 call be applied to a variety of practical applications leading to improved mitigation of ionosphereic and space weather effects.


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Citation Formats
H. J. Strangeways et al., “Near-Earth space plasma modelling and forecasting,” ANNALS OF GEOPHYSICS, pp. 255–271, 2009, Accessed: 00, 2020. [Online]. Available: