Solar activity modelled and forecasted: A new approach

Advances in Space Research

Volumn 38, Issue 5, 2006, Pages 862-867

  Lundstedt, H ^a  

^a SWEDISH INSTITUTE OF SPACE PHYSICS   (Sweden)

Author keywords

Forecasting; MHD theory; Neural networks; Solar activity; Wavelet methods

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; SOLAR SYSTEM; TECHNOLOGICAL FORECASTING; WAVELET TRANSFORMS;

MHD THEORY; SOLAR ACTIVITY; SOLAR THEORY; WAVELET METHODS;

SPACE RESEARCH;

EID: 33750429600     PISSN: 02731177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asr.2006.03.041     Document Type: Article

References (26)

1. Boberg F., and Lundstedt H. Solar wind variation related to fluctuations of the North Atlantic Oscillation. Geophys. Res. Lett. 29 15 (2002) 13.1-13.4
2. Boberg F., Lundstedt H., Hoeksema J.T., Scherrer P.H., and Lui W. Solar mean magnetic field variability: a wavelet approach to WSO and SOHO/MDI observations. J. Geophys. Res. 107 A10 (2002) 1318
3. Cozzio R.A. Approximation of differential equations using neural networks. In: Cloete I., and Zurada J.M. (Eds). Knowledge-Based Neurocomputing (2000), MIT Press, Cambridge, Massachusetts, London, England
4. Craven, M., Understanding models learned by neural networks, in: Proceedings of AI Applications in Solar-Terrestrial Physics. Lund, Sweden, 29-31 July 1997, ESA WPP-148, pp. 61-69, 1998.
5. Fu L.-M. Neural Networks in Computer Intelligence (1994), McGraw-Hill, Inc, New York
6. Haykin S. Neural Networks A Comprehensive Foundation (1997), Macmillan College Publishing Company Inc, New York
7. Jensen, J.M., Lundstedt, H., Thompson, M.J., Pijpers, F.P., Rajaguru, S.P. Application of local-area helioseismic methods as predictors of space weather, in: D. Danesy (Ed.). Helio- and Asteroseismology: Towards a Golden Future, Proceedings of SOHO 14/GONG+ 2004 Meeting, ESA SP-559, 497-500, 2004.
8. Liszka L. Cognitive information processing in space physics and astrophysics. Astron. Astrophys. Series vol. 13 (2003), Pachart Publishing House, Tucson
9. Lorenz E.N. Deterministic nonperiodic flow. J. Atmos. Sci. 20 (1963) 130-141
10. Lundstedt, H. AI techniques in geomagnetic storm forecasting, In: B.T. Tsurutani, W.D. Gonzalez, Y. Kamide, J.K. Arballo (Eds.), Geophysical Monograph 98 on Magnetic Storms, AGU, Washinghton, DC, pp. 243-252, 1997.
11. Lundstedt, H. Solar activity predicted with artificial intelligence, in: P. Song, H.J. Singer, G.L. Siscoe (Eds.), Geophysical Monograph 125 on Space Weather. AGU, Washinghton, DC, pp. 201-204, 2000.
12. Lundstedt H. Progress in space weather predictions and applications. Adv. Space Res. 36 (2005) 2516-2523
13. Lundstedt, H. The Sun, space weather and GIC effects in Sweden. Adv. Space Res. 2005b (in press).
14. Lundstedt H., Gleisner H., and Wintoft P. Operational forecasts of geomagnetic Dst index. Geophys. Res. Lett. 29 (2002) 34-134-4
15. Lundstedt H., Liszka L., and Lundin R. Solar activity explored with new wavelet methods. Ann. Geophys. 23 (2005) 1505-1511
16. Lundstedt H., Liszka L., Lundin R., and Muscheler R. Long-term solar activity explored with wavelet methods. Ann. Geophys. 24 (2006) 1-9
17. Mundt M.D., Maguire II W.B., and Chase R.P. Chaos in sunspot cycle: analysis and prediction. J. Geophys. Res. 96 (1991) 1705-1716
18. Omlin C.W., and Giles C.L. Symbolic knowledge representation in recurrent neural networks: insights from theoretical models of computation. In: Cloete I., and Zurada J.M. (Eds). Knowledge-Based Neurocomputing (2000), MIT Press, Cambridge, Massachusetts, London, England
19. Polygiannakis J., Preka-Papadema P., and Moussas X. On signal-noise decomposition of timeseries using the continuous wavelet transform: application to sunspot index, Mon. Not. R. Astron. Soc. 343 (2003) 725-734
20. Saito, K., Nakano, R. Law Discovery using neural networks, in: Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI97), pp. 1078-1083, 1997.
21. Shindell D.T., Schmidt G.A., Mann M.E., Rind D., and Waple W. Solar forcing of regional climate change during Maunder minimum. Science 294 (2001) 2149-2152
22. Solanki S.K., Schussler M., and Fligge M. Evolution of the Suns large-scale magnetic field since the maunder minimum. Nature 408 (2000) 23
23. Svalgaard L., Cliver E.W., and Kamide Y. Sunspot cycle 24: smallest cycle in 100 years?. Geophys. Res. Lett. 32 (2005) L01104 10.1029/2004GL021664
24. Verleysen M. The explanatory power of artificial neural networks. In: Franck R. (Ed). The Explanatory Power of Models (2002), Kluwer Acad., Publ., Londan 127-139
25. Weiss N., Cattaneo F., and Jones C.A. Periodic and aperiodic dynamo waves. Geophys. Astrophys. Fluid Dyn. 30 (1984) 305
26. Wintoft P., and Lundstedt H. Prediction of daily average solar wind velocity from solar magnetic field observations using hybrid intelligent systems. Phys. Chem. Earth 22 7-8 (1997) 617-622