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  5. Near-Earth space plasma modelling and forecasting
 
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Near-Earth space plasma modelling and forecasting

Author(s)
Strangeways, H. J.  
School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK  
Kutiev, I.  
Geophysical Institute, Bulgarian Academy of Sciences (BAS), Sofia, Bulgaria  
Cander, L. R.  
Rutherford Appleton Laboratory, Didcot, UK  
Kouris, S.  
Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece  
Gherm, V.  
Department of Radiophisics, University of St. Petersburg, Russian Federation  
Marin, D.  
University of Huelva, Huelva, Spain  
De La Morena, B.  
Atmospheric Sounding Station El Arenosillo, INTA, Huelva, Spain  
Pryse, S. E.  
Aberystwyth University, Aberystwyth, UK  
Perrone, L.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia  
Pietrella, M.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia  
Stankov, S.  
Royal Meteorological Institute, Brussels, Belgium  
Tomasik, L.  
Center for Space Research, Warsaw, Poland  
Tulunay, E.  
Middle East Technical University (METU), Ankara, Turkey  
Tulunay, Y.  
Middle East Technical University (METU), Ankara, Turkey  
Zernov, N.  
Department of Radiophisics, University of St. Petersburg, Russian Federation  
Zolesi, B.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia  
Language
English
Obiettivo Specifico
3.9. Fisica della magnetosfera, ionosfera e meteorologia spaziale
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Annals of Geophysics  
Issue/vol(year)
3-4/52 (2009)
Publisher
Editrice Compositori
Pages (printed)
255-271
Date Issued
August 2009
URI
https://www.earth-prints.org/handle/2122/5239
Subjects
01. Atmosphere::01.02. Ionosphere::01.02.03. Forecasts  
01. Atmosphere::01.03. Magnetosphere::01.03.99. General or miscellaneous  
Subjects

Ionospheric modeling

ionospheric forecasti...

ionospheric predictio...

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.
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