Abstract
A new era in the history of ionospheric forecasting began during the International Geophysical Year (IGY, July 1957 to December 1958), based on earlier efforts to predict ionospheric effects on HF radio communications. Solar-terrestrial physics had developed from the traditional disciplines of ionospheric physics, geomagnetism, solar physics, and cosmic ray physics, and was to assume a prominent role with the inauguration of World Data Centers (WDCs). WDCs for Solar-Terrestrial Physics (STP) in Boulder, Moscow, Chilton, and many other locations began systematically collecting, analyzing, filing, and distributing worldwide the routinely observed geophysical data through space and time, describing the environment between the surface of the Sun and the surface of the Earth.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Suggested Readings
Araujo-Pradere EA, Fuller-Rowell TJ, Codrescu MV (2002) STORM: An empirical storm-time ionospheric correction model 1. Model description. Radio Sci doi:10.1029/2001RS002467
Bamford RA, Stamper R, Cander LjR (2008) A comparison between the hourly autoscaled and manual scaled characteristics from the Chilton ionosonde from1996 to 2004. Radio Sci doi:10.1029/2005RS003401
Cander LjR (1993) On the global and regional behavior of the mid-latitude ionosphere. J Atmos Terr Phys 55:1543–1551
Cander LjR (2003) Towards forecasting and mapping ionospheric space weather under the COST actions. Adv Space Res 31:957–964
Cander LjR, Haralambous H (2011) On the importance of total electron content enhancements during the extreme solar minimum. Adv Space Res 47:304–311
Cander LjR, Milosaviljevic MG, Stankovic S, Tomasevic S (1998) Ionospheric forecasting technique by artificial neural network. Electron Lett 34:1573–1574
Ciraolo L, Spalla P (1994) An analysis of consistency of TEC evaluated using Pseudo-Range GPS observations. Proc. International Beacon Satellite Symposium, 21–24
Dick MI, Levy MF, Cander LjR, Kutiev I, Muhtarov P (1999) Short-term ionospheric forecasting over Europe. IEE Conference on Antennas and Propagation 461:105–107
Hargreaves JK (1979) The Upper Atmosphere and Solar-Terrestrial Relations. Van Nostrand Reinhold Co. Ltd., New York
Haykin S (1994) Neural networks—a comprehensive foundation. Macmillan College Publishing Company, New York
Korn GA, Korn TM (1968) Mathematical Handbook. McGraw-Hill Book, New York
Kutiev I, Muhtarov P, Cander LjR, Levy MF (1999) Short-term prediction of ionospheric parameters based on autocorrelation analysis. Ann Geofis 42:121–127
Lamming X, Cander LjR (1999) Monthly median foF2 modelling COST251 area by neural networks. Phys Chem Earth 24:349–354
McKinnell L-A, Friedrich M (2007) A neural network-based ionospheric model for the auroral zone. J Atmos Sol-Terr Phys 69:1459–1470
Mikhailov AV, Depuev VH, Depueva AH (2007) Short-term foF2 forecast: Present day state of art in space weather: Research towards applications in Europe. Astrophys Space Sci 344:169–184
Mitra AP (1974) Ionospheric effects of solar flares. D. Reidel Publishing Company Dordrecht-Holland, Boston
Muhtarov P, Kutiev I, Cander LjR (2002) Geomagnetically correlated autoregression model for short-term prediction of ionospheric parameters. Inverse Probl 18:49–65
Oyeyemi OE, McKinnell L-A (2008) A new global F2 peak electron density model for the International Reference Ionosphere (IRI). Adv Space Res 42:645–658
Prölss GW (1995) Ionospheric F-region storms. In: Volland H (ed) Handbook of Atmospheric Electrodynamics, CRC Press, Boca Raton
Stanislawska I, Juchnikowski G, Cander LjR (1996) Kriging method for instantaneous mapping at low and equatorial latitudes. Adv Space Res 18:217–220
Tsagouri I (2011) Evaluation of the performance of DIAS ionospheric forecasting models, J. Space Weather Space Clim. doi: 10.1051/swsc/2011110003
Tulunay E, Tulunay Y, Senalp ET, Cander LjR (2004) Forecasting GPS TEC using the neural network technique: A further demonstration. Bulg Geophys J 30:53–61
Ünal İ, Şenalp ET, Yeşil A, Tulunay E, Tulunay Y (2011) Performance of IRI‐based ionospheric critical frequency calculations with reference to forecasting. Radio Sci doi:10.1029/2010RS004428
Williscroft L-A, Poole AWA (1996) Neural networks, foF2, sunspot number and magnetic activity. Geophys Res Lett 23:3659–3662
Wintoft P, Cander LjR (2000) Twenty-four hour predictions of foF2 using time delay neural networks. Radio Sci 35:395–408
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Zolesi, B., Cander, L.R. (2014). Ionospheric Forecasting. In: Ionospheric Prediction and Forecasting. Springer Geophysics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38430-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-38430-1_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38429-5
Online ISBN: 978-3-642-38430-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)