Coupling of the solar wind to temporal fluctuations in ground magnetic fields

Geophysical Research Letters

Volumn 29, Issue 19, 2002, Pages

  Weigel, R S ^a   Vassiliadis, D ^a   Klimas, A J ^a  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MAGNETIC FIELDS; MAGNETISM;

FIELD MEASUREMENT; HORIZONTAL FIELDS; MAGNETIC FIELD FLUCTUATIONS; NONLINEAR MAPPINGS; SOLAR WIND PLASMAS; SPATIAL LOCATION; TEMPORAL FLUCTUATION; TIME DERIVATIVE;

SOLAR WIND;

EID: 0242669392     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1029/2002GL014740     Document Type: Article

References (21)

1. Bishop, C. M., Neural networks for pattern recognition, Oxford University Press, 1995.
2. Boteler, D. H., and, R. J. Pirjola, The complex-image method for calculating the magnetic and electric fields produced at the surface of the Earth by the auroral electrojet, Geophysical J. Int., 132 (1), 31-40, 1998.
3. Boteler, D. H., R. J. Pirjola, and, H. Nevanlinna, The effects of geomagnetic disturbances on electrical systems at the Earth's surface, Adv. Space Res., 22, 17-27, 1998.
4. Clauer, R. C., The technique of linear prediction filters applied to studies of solar wind-magnetosphere coupling, Solar Wind-Magnetosphere Coupling, edited by, Y. Kamide, and, J. A. Slavin, 39-57, 1986.
5. Detman, T., and, D. Vassiliadis, Review of Techniques for Magnetic Storm Forecasting, in Magnetic Storms, Geophysical Monograph, 98, American Geophysical Union, 1997.
6. Engebretson, M., K.-H. Glassmeier, and, M. Stellmacher, The dependence of high-latitude Pc5 wave power on solar wind velocity and on the phase of high-speed solar wind streams, J. Geophys. Res., 103 (A11), 26,271, 1998.
7. Gavrishchaka, V. V., and, S. B. Ganguli, Optimization of the neural-network geomagnetic model for forecasting large-amplitude substorm events, Journal of Geophysical Research-Space Physics, 106 (A4), 6247-6257, 2001.
8. Gleisner, H., and, H. Lundstedt, Response of the auroral electrojets to the solar wind modeled with neural networks, J. Geophys. Res., 102 (A7), 14,269, 1997.
9. Gleisner, H., and, H. Lundstedt, A neural network-based local model for prediction of geomagnetic disturbances, J. Geophys. Res., 106 (A5), 8425-8433, 2001.
10. Hernandez, J. V., T. Tajima, and, W. Horton, Neural net forecasting for geomagnetic activity, Geophys. Res. Lett., 20, 2707, 1993.
11. Hertz, J., A. Krogh, and, R. G. Palmer, Introduction to the theory of neural computation, Addison-Wesley Publishing Company, 1991.
12. Luhr, H., A. Aylward, S. C. Bucher, A. Pajunpaa, K. Pajunpaa, T. Holmboe, and, S. M. Zalewski, Westward moving dynamic substorm features observed with the IMAGE magnetometer network and other ground-based instruments, Annales Geophysicae-Atmospheres Hydrospheres and Space Sciences, 16 (4), 425-440, 1998.
13. Pirjola, R., Geomagnetically induced currents during magnetic storms, IEEE Trans. on Plasma Science, 28 (6), 1867-1873, 2000.
14. Pirjola, R., and, A. Viljanen, Complex image method for calculating electric and magnetic fields produced by an auroral electrojet of finite length, Annales Geophysicae, 16, 1434-1444, 1998.
15. Pirjola, R., D. Boteler, A. Viljanen, and, O. Amm, Prediction of geomagnetically induced currents in power transmission systems, Advances in Space Research, 26, 5-14, 2000.
16. Thomson, A. W. P., Evaluating space weather forecasts of geomagnetic activity from a user perspective, Geophys. Res. Lett., 24 (24), 4049, 2000.
17. Vassiliadis, D., A. J. Klimas, D. N. Baker, and, D. A. Roberts, A Description of the Solar-Wind Magnetosphere Coupling Based On Nonlinear Filters, J. Geophys. Res., 100 (A3), 3495-3512, 1995.
18. Vennerstrøm, S., Dayside magnetic ULF power at high latitudes: A possible long-term proxy for the solar wind velocity? J. Geophys. Res., 104, 10,145, 1999.
19. Viljanen, A., The relation between geomagnetic variations and their time derivatives and implications for estimation of induction risks, Geophys. Res. Lett., 24 (6), 631, 1997.
20. Viljanen, A., H. Nevanlinna, K. Pajunpaa, and, A. Pulkkinen, Time derivative of the horizontal geomagnetic field as an activity indicator, Ann. Geophys., 19, 1107, 2001.
21. Wu, J. G., and, H. Lundstedt, Neural network modeling of solar wind magnetosphere interaction, J. Geophys. Res., 102 (A7), 14,457-14,466, 1997.