Baker, D. N., Statistical analysis in the study of solar wind magnetosphere coupling, in Solar Wind-Magnetosphere Coupling, edited by Y. Kamide and J. A. Slavin, p. 17, Terra Sci., Tokyo, 1986.
Chapter
Google Scholar
Burton, R. K., R. L. C. T. Russell, An empirical relationship between interplanetary conditions and Dst, J. Geophys. Res., 80, 4204–4214, 1975.
Article
Google Scholar
Campbell, W., Geomagnetic storms, the Dst ring-current myth and lognormal distributions, J. Aymospheric and Solar Terrestrial Physics, 58(10), 1171–1187, July 1996.
Article
Google Scholar
Detman, T. R. and D. Vassiliadis, Review of techniques for magnetic storm forecasting, in Magnetic Storms, Geophys. Monogr. Ser., vol. 98, edited by B. T. Tsurutani, W. D. Gonzalez, Y. Kamide, and J. K. Arballo, p. 253, AGU, Washington D.C., 1997.
Google Scholar
Fenrich, F. R. and J. G. Luhmann, Geomagnetic response to magnetic clouds of different polarity, Geophys. Res. Lett., 25, 2999–3002, 1998.
Article
Google Scholar
Freeman, J., A. Nagai, P. Reiff, W. Denig, S. Gussenhoven Shea, M. Heinermann, F. Rich, and M. Hairston, The use of neural networks to predict magnetospheric parameters for input to a magnetospheric forecast model, in Artificial Intelligence Applications in Solar Terrestrial Physics, edited by J. Joselyn, H. Lundstedt, and Trollinger, 167, Natl. Oceanic and Atmos. Admin., Boulder, Colorado, 1994.
Google Scholar
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.
Article
Google Scholar
Gholipour, A., C. M. Shafiee, and B. N. Araabi, Extracting the main patterns of natural time series for long term prediction, J. Aymospheric and Solar Terrestrial Physics, 67(6), 595–603, 2005.
Article
Google Scholar
Iyemori, T., H. Maeda, and T. Kamei, Impulse response of geomagnetic indices to interplanetary magnetic fields, J. Geomag. Geoelectr., 31(1), 1979.
Joselyn, J. A., Geomagnetic activity forecasting: The state of the art, Rev. Geophys., 33, 383, 1995.
Article
Google Scholar
Kamide, Y., W. Baumjohann, I. A. Daglis, W. D. Gonzalez, M. Grande, J. A. Joselyn, R. L. McPherron, J. L. Phillips, E. G. D. Reeves, G. Rostoker, A. S. Sharma, H. J. Singer, B. T. Tsurutani, and V. M. Vasyliunas, Current understanding of magnetic storms: Storm-substorm relationships, J. Geophys. Res., 103, 17705–17728, 1998.
Article
Google Scholar
Kugblenu, S., S. Taguchi, and T. Okuzawa, Prediction of the geomagnetic storm associated Dst index using an artificial neural network algorithm, Earth Planets Space, 51, 307–313, 1999.
Article
Google Scholar
Loskutov, A., I. A. Istomin, K. M. Kuzanyan, and O. L. Kotlyarov, Testing and forecasting the time series of the solar activity by singular spectrum analysis, Nonlin. Phenomena in Complex Syst., 4(1), 47–57, 2001a.
Google Scholar
Loskutov, A., I. Istomin, O. Kotlyarov, and K. Kuzanyan, A study of the regularities in Solar magnetic activity by singular spectrum analysis, Astronomy Letters, 27(11), 745–753, 2001b.
Article
Google Scholar
Loskutov, A., I. Istomin, and O. Kotlyarov, Data analysis: generalizations of the local approximation method by singular spectrum analysis, http://xxx.lanl.gov/abs/nlin.cd/0109022.
Munsami, V., Determination of the effects of substorms on the storm-time ring current using neural networks, J. Geophys. Res., 105, 27833, 2000.
Article
Google Scholar
Nagatsuma, T., Geomagnetic Storms, Journal of the Communications Research Laboratory, 49(3), 2002.
Nelles, O., Nonlinear System Identification with Local Linear Neuro-Fuzzy Models, PhD Thesis, TU Darmstadt, Shaker Verlag, Aachen, Germany, 1999.
Google Scholar
Nelles, O., Nonlinear system identification, Springer Verlag, Berlin, 2001.
Book
Google Scholar
O’Brien, T. P. and R. L. McPherron, An empirical phase space analysis of ring current dynamics: solar wind control of injection and decay, J. Geophys. Res., 105, 7707–7719, 2000a.
Article
Google Scholar
O’Brien, T. P. and R. L. McPherron, Forecasting the ring current index Dst in real time, J. Atmospheric and Solar-Terrestrial Physics, 62, 1295–1299, 2000b.
Article
Google Scholar
Temerin, M. and X. Li, A New Model for the Prediction of Dst on the Basis of the Solar Wind, J. Geophs. Res., 107(A12), 1472, doi:10.1029/2001JA007532, 2002.
Article
Google Scholar
Vassiliadis, D., A. J. Klimas, D. N. Baker, and D. A. Roberts, A description of the solar wind magnetosphere coupling based on nonlinear prediction filters, J. Geophys. Res., 100, 3495, 1995.
Article
Google Scholar
Vassiliadis, D., A. J. Klimas, and D. N. Baker, Models of Dst Geomagnetic Activity and of its Coupling to Solar Wind Parameters, Phys. Chem. Earth (C), 24(1-3), 107–I12, 1999.
Google Scholar
Vautard, R., P. Yiou, and M. Ghil, Singular spectrum analysis: A toolkit for short noisy chaotic signals, Physica D, 58, 95–126, 1992.
Article
Google Scholar
Watanabe, S., E. Sagawa, K. Ohtaka, and H. Shimazu, Prediction of the Dst index from solar wind parameters by a neural network method, J. Communications Research Laboratory, 49(4), 2002.
Wintoft, P., Space weather physics—Prediction and classification of solar wind structures and geomagnetic activity using artificial neural networks, PhD Thesis, LUNFD6/(NFAS 1017)/1-86/(1997), 1997.
Google Scholar
Wintoft, P. and H. Lundstedt, Identification of geoeffective solar wind structures with self-organized maps, AI Applications in Solar-Terrestrial Physics, Lund, Sweden, July 29–31, 1997, edited by I. Sandahl and E. Jonsson, ESA WPP-148, 151–157, 1998.
Google Scholar
Wu, J.-G., H. Lundstedt, P. Wintoft, and T. R. Detman, Space weather forecasting on the 1997 January halo CME event using neural network models, AI Applications in Solar-Terrestrial Physics, Lund, Sweden, July 29–31, 1997, edited by I. Sandahl and E. Jonsson, ESA WPP-148, 145–150, 1998a.
Google Scholar
Wu, J.-G., H. Lundstedt, P. Wintoft, and T. R. Detman, Neural network models predicting the magnetospheric response to the 1997 January halo-CME event, Geophys. Res. Lett., 25, 3,031–3,034, 1998b.
Article
Google Scholar