Neural network modeling of solar wind-magnetosphere interaction

Journal of Geophysical Research: Space Physics

Volumn 102, Issue A7, 1997, Pages 14457-14466

  Wu, Jian Guo ^a  

^a SWEDISH INSTITUTE OF SPACE PHYSICS   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 37149039820     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/97JA01081     Document Type: Article

References (19)

1. Abramowitz, M., and I.A. Stegun, Handbook of Mathematical Functions, Appl. Math Ser., vol. 55, pp. 946-972, National Bureau of Standards, Gaithersburg, Mcl., 1964. (Reprinted by Dover, New York, 1972.)
2. Baker, D. N., Statistical analyses in the study of solar wind-magnetosphere coupling, in Solar Wind-Magnetosphere Coupling, edited by Y. Kamide and J. A. Slavin, pp. 17-38, Terra Sci., Tokyo, 1986.
3. Baker, D. N., A. J. Klimas, R. L. McPherron, and J. Büchner, The evolution from weak to strong geomagnetic activity: An interpretation in terms of deterministic chaos, Geophys. Res. Lett., 17, 41, 1990.
4. Bargatze, L.F., D.N. Baker, R.L. McPherron, and E.W. Hones Jr., Magnetospheric impulse response for many levels of geomagnetic activity, J. Geophys. Res., 90, 6387, 1985.
5. Burton, R.K., R.L. McPherron, and C.T. Russell, An empirical relationship between interplanetary conditions and Dst, J. Geophys. Res., 80, 4204, 1975.
6. Clauer, C.R., The technique of linear prediction filters applied to studies of solar wind-magnetosphere coupling, in Solar- Wind Magnetosphere Coupling, edited by Y. Kamide and J.A. Slavin, pp. 39-57, Terra Sci., Tokyo, 1986.
7. Casdagli, M., Nonlinear prediction of chaotic time series, Phys. D, 35, 335, 1989.
8. Elman, J.L., Finding structure in time, Cognitive Sci., 14, 179-211, 1990.
9. Freeman, J., and A. Nagai, The magnetospheric specification and forecast model: Moving from real-time to prediction, paper presented at Solar-Terrestrial Workshop, Natl. Oceanic and Atmos. Admin., Ottwa, Canada, May 18-22, 1992.
10. Gleisner, H., H. Lundstedt, and P. Wintoft, Predicting geomagnetic storms from solar wind data using time-delay neural networks, Ann. Geophys., 14, 679-686, 1996.
11. Goertz, C.K., L.-H. Shan, and R.A. Smith, Prediction of geomagnetic activity, J. Geophys. Res., 98, 7673, 1993.
12. Gonzalez, W.D., J.A. Joselyn, Y. Kamide, H.W. Kroehl, G. Rostoker, B.T. Tsurutani, and V.M. Vasyliunas, What is a geomagnetic storm? J. Geophys. Res., 99, 5771, 1994.
13. Hernandez, J.V., T. Tajima, and W. Horton, Neural net forecasting geomagnetic activity, Geophys. Res. Lett., 20, 2707, 1993.
14. Hertz, J., A. Krogh, and R. G. Palmer, Introduction to the Theory of Neural Computation, chap. 6, Addison-Wesley, New York, 1991.
15. Iyemori, T., H. Maeda, and T. Kamei, Impulse response of geomagnetic indices to interplanetary magnetic field, J. Geomagn. Geoelectr., 6, 577, 1979.
16. Vassiliadis, D., V. Angelopoulos, D.N. Baker, and D., A.J. Klimas, The relation between the northern polar cap and auroral electrojet geomagnetic indices in the wintertime, Geophys. Res. Lett., , 23, 2781, 1996a.
17. st index and their physical interpretation, paper presented at the Third International Conference on Substorms (ICS-3), Versailles, France, May 13-17, 1996b.
18. Wu, J.-G., and H. Lundstedt, Prediction of geomagnetic storms from solar wind data using Elman recurrent neural networks, Geophys. Res. Lett., 23, 319, 1996.
19. Wu, J.-G., and H. Lundstedt, Geomagnetic storm forecast from solar wind data with the use of dynamic neural networks, J. Geophys. Res., in press, 1997.