TY - JOUR
T1 - Near-Earth space plasma modelling and forecasting
AU - Strangeways, Hal J.
AU - Kutiev, Ivan
AU - Cander, Ljiljana R.
AU - Kouris, Stamatis
AU - Gherm, Vadim
AU - Marin, Diego
AU - Morena, Benito De La
AU - Pryse, Sian Eleri
AU - Perrone, Loredana
AU - Pietrella, Marco
AU - Stankov, Stanimir
AU - Tomasik, Lukasz
AU - Tulunay, Ersin
AU - Tulunay, Yurdanur
AU - Zernov, Nikolay
AU - Zolesi, Bruno
PY - 2009
Y1 - 2009
N2 - 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 wellas 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.
AB - 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 wellas 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.
UR - http://hdl.handle.net/2160/8331
U2 - 10.4401/ag-4579
DO - 10.4401/ag-4579
M3 - Article
SN - 1593-5213
VL - 52
SP - 255
EP - 271
JO - Annals of Geophysics
JF - Annals of Geophysics
IS - 3-4
ER -