. "Appendix A: Space Weather Models Applied to Radiation Risk Reduction." Radiation and the International Space Station: Recommendations to Reduce Risk. Washington, DC: The National Academies Press, 2000.
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Radiation and the International Space Station: Recommendations to Reduce Risk
16.
D.N. Baker, T.I. Pulkkinen, X. Li, S.G. Kanekal, J.B. Blake, R.S. Selesnick, M.G. Henderson, G.D. Reeves, H.E. Spence, and G. Rostoker, "Coronal mass ejections, magnetic clouds, and relativistic magnetospheric electron events: ISTP," J. Geophys. Res., 103, 1998, pp. 17279-17291.
17.
M.K. Hudson, S.R. Elkington, J.G. Lyon, V.A. Marchenko, I. Roth, M. Temerin, J.B. Blake, M.S. Gussenhoven, and J.R. Wygant, "Simulations of radiation belt formation during storm sudden commencements," J. Geophys. Res., 102, 1997, pp. 14087-14102.
18.
G.D. Reeves, R. Friedel, and R. Hayes, "Maps could provide space weather forecasts for the inner magnetosphere," EOS, 79, 1998, p. 613.
19.
For a general introduction to the uses of neural networks in applied space weather, see Proceedings of the International Workshop on Artificial Intelligence Applications in Solar-Terrestrial Physics , Lund, Sweden, September 22-24, 1993, J. Joselyn, H. Lundstedt, and J. Trolinger, eds., available from NOAA Space Environment Laboratory, Boulder, Colo.
20.
T. Aso and T. Ogawa, "Introduction of neural network in the short-term prediction of solar flares," in Proceedings of the International Workshop on Artificial Intelligence Applications in Solar-Terrestrial Physics, J.A. Joselyn, H. Lundstedt, and J. Trolinger, eds., available from NOAA Space Environment Center, Boulder, Colo., 1993, pp. 77-82.
21.
G.M. Forde, L.W. Townsend, and J.W. Hines, "Application of artificial neural networks in predicting astronaut doses from large solar particle events in space," in Proceedings of the ANS Topical Conference on Technologies for the New Century, Vol. 1, Nashville, Tenn., April 19-23, 1998, pp. 523-529.
22.
See two reviews by A.S. Sharma: "Assessing the magnetosphere's nonlinear behavior: Its dimension is low, its predictability, high," Reviews of Geophysics, Supplement, July 1995, pp. 645-650: and "Nonlinear dynamical studies of global magnetospheric dynamics," in Nonlinear Waves and Chaos in Space Plasmas, T. Hada and H. Matsumoto, eds., Terra Scientific Publishing Company, Tokyo, 1997, pp. 359-389.
23.
G.A. Stringer and R.L. McPherron, "Neural networks and predictions of day-ahead relativistic electrons at geosynchronous orbit," in Proceedings of the International Workshop on Artificial Intelligence Applications in Solar-Terrestrial Physics, J.A. Joselyn, H. Lundstedt, and J. Trolinger, eds., available from NOAA Space Environment Center, Boulder, Colo., 1993, pp. 139-143.
24.
R.A. Howard, D.J. Michels, N.R. Sheeley, Jr., and M.J. Koomen, "The observation of a coronal transient directed toward the Earth," Astrophys. J., 1982, p. L101.
25.
. J.A. Joselyn, "Geomagnetic activity forecasting: The state of the art," Rev. Geophys., 33, 1995, p. 383.
26.
See note 8.
27.
See note 1.
28.
See note 1.
29.
See note 1.
30.
N.A. Tsyganenko, "A magnetospheric magnetic field model with a warped tail current sheet," Planet. Space Sci., 37, 1989, pp. 5-20.
