Predicting solar energetic proton events (E > 10 MeV)

Space Weather

Volumn 9, Issue 7, 2011, Pages

  Nez, Marlon ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79960530451     PISSN: None     EISSN: 15427390     Source Type: Journal    
DOI: 10.1029/2010SW000640     Document Type: Article

References (48)

1. Aran, A., B. Sanahuja, and D. Lario (2006), SOLPENCO: A Solar Particle Engineering Code, Adv. Space Res., 37(6), 1240-1246, doi:10.1016/j.asr.2005.09. 019.
2. Arge, C. N., and V. J. Pizzo (2000), Improvement in the prediction of solar wind conditions using near-real time solar magnetic field updates, J. Geophys. Res., 105, 10,465-10,480.
3. Balch, C. C. (2008), Updated verification of the Space Weather Prediction Center's solar energetic particle prediction model, Space Weather, 6, S01001, doi:10.1029/2007SW000337.
4. Beck, P., M. Latocha, S. Rollet, and G. Stehno (2005), TEPC reference measurements at aircraft altitudes during a solar storm, Adv. Space Res., 16(9), 1627-1633, doi:l0.10l6/j.asr.2005.05.035. (Pubitemid 41642038)
5. Belov, A. (2009), Properties of solar X-ray flares and proton event forecasting, Adv. Space Res., 43(4), 467-473, doi:10.1016/j. asr.2008.08.011.
6. Boberg, F., P. Wintoft, and H. Lundstedt (2000), Real time Kp predictions from solar wind data using neural networks, Phys. Chem. Earth, Part C, 25(4), 275-280. (Pubitemid 30215580)
7. Breiman, L., J. H. Friedman, R. A. Olshen, and C. J. Stone (1984), Classification and Regression Trees, Chapman and Hall, Boca Raton, Fla.
8. Cane, H. V., T. T. von Rosenvinge, C. M. S. Cohen, and R. A. Mewaldt (2003), Two components in major solar particle events, Geophys. Res. Lett, 30(12), 8017, doi:10.1029/2002GL016580.
9. Cane, H. V., R. A. Mewaldt, C. M. S. Cohen, and T. T. von Rosenvinge (2006), Role of flares and shocks in determining solar energetic particle abundances, J. Geophys. Res., 111, A06S90, doi:10.1029/2005JA011071.
10. Chen, J., and V. Kunkel (2010), Temporal and physical connection between coronal mass ejections and flares, Astrophys. J., 717, 1105-1122, doi:10.1088/0004-637X/717/2/1105.
11. Davis, J., and M. Goadrich (2006), The relationship between precision-recall and ROC curves, in Proceedings of the 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006, ACM Int. Conf. Proc. Ser., vol. 148, edited by W. W. Cohen and A. Moore, pp. 233-240, Assoc. for Comput. Mach., New York. (Available at http://doi.acm.org/10.1145/1143844.1143874.)
12. Deng, Y.-F., J. Xing, and Y.-X. Zhong (2005) Ensemble SVR for prediction of time series, in Proceedings of 2005 International Conference on Machine Learning and Cybernetics vol. 6, pp. 3528-3534, Inst. of Electr. and Electr. Eng., New York doi:10.1109/ICMLC.2005. 1527553 (Pubitemid 41734529)
13. Di Marco, F., A. Donati, M. Pantoquilho, A. Baumgartner, and D. Ponz (2008), SEISOP: Space Environment Information System to support Satellites Operations, paper presented at SpaceOps 2008 Conference, Eur. Space Agency, Heidelberg, Germany.
14. Hansen, L. K., and P. Salamon (1990), Neural network ensembles, IEEE Trans. Pattern Anal. Mach. Intell., 12(10), 993-1001, doi:10.1109/34.58871.
15. Holman, G. D., and M. E. Pesses (1983), Solar type II radio emission and the shock drift acceleration of electrons, Astrophys. J., 267, 837-884, doi:10.1086/160918.
16. Iucci, N., et al. (2005), Space weather conditions and spacecraft anomalies in different orbits, Space Weather, 3, S01001, doi:10.1029/ 2003SW000056.
17. Kahler, S. W., E. W. Cliver, and A. G. Ling (2007), Validating the proton prediction system (PPS), J. Atmos. Sol. Terr. Phys., 69(1-2), 43-49. (Pubitemid 46140697)
18. Klein, K.-L., S. Krucker, G. Trottet, and S. Hoang (2005), Coronal phenomena at the release of solar energetic electron events, Astron. Astrophys., 431, 1047-1060, doi:l0.1051/0004-6361:20041258. (Pubitemid 40303241)
19. Koskinen, H., E. Tanskanen, R. Pirjola, A. Pulkkinen, C. Dyer, D. Rodgers, P. Cannon, J.-C. Mandeville, and D. Boscher (2001), Space weather effects catalogue, Rep. ESWS-FMI-RP-0001, Finnish Meteorol. Inst., Helsinki.
20. Kubo, Y., and M. Akioka (2004), Existence of thresholds in proton flares and application to solar energetic particle alerts, Space Weather, 2, S01002, doi:10.1029/2003SW000022.
21. Kuncheva, L., and C. Whitaker (2003), Measures of diversity in classifier ensembles, Mach. Learn., 51, 181-207, doi:10.1023/A:1022859003006.
22. Laurenza, M., E. W. Cliver, J. Hewitt, M. Storini, A. G. Ling, C. C. Balch, and M. L. Kaiser (2009), A technique for short-term warning of solar energetic particle events based on flare location, flare size, and evidence of particle escape, Space Weather, 7, S04008, doi:10.1029/2007SW000379.
23. Linker, J. A., P. Riley, Z. Mikic, R. Lionello, V. Titov, and J. Wijaya (2010), CORHEL: MHD modeling in support of Solar Dynamics Observatory, Bull. Am. Astron. Soc., 41, 876.
24. Lionello, R., J. A. Linker, and Z. Mikí(2003), Three-dimensional magnetohydrodynamics of the solar corona and of the solar wind with improved energy transport, in Solar Wind Ten
25. M. Velli, R. Bruno, and F. Malara, AIP Conf. Proc., 679, 222-225.
26. Maddox, M. M., M. Hesse, M. Kuznetsova, L. Rastaetter, P. J. MacNeice, P. Jain, J. W. Garneau, D. H. Berrios, A. Pulkinnen, and D. Rowland (2008), The integrated space weather analysis system, Eos Trans. AGU, 89(53), Fall Meet. Suppl., Abstract IN13A-1067.
27. Marqué, C., A. Posner, and K.-L. Klein (2006), Solar energetic particles and radio-silent fast coronal mass ejections, Astrophys. J., 642, 1222-1235, doi:10.1086/501157. (Pubitemid 44072906)
28. Miller, J., C. Zeitlin, F. A. Cucinotta, L. Heilbronn, D. Stephens, and J. W. Wilson (2003), Benchmark studies of the effectiveness of structural and internal materials as radiation shielding for the International Space Station, Radiat. Res., 159, 381-390, doi:10.1667/0033-7587(2003)159[0381:BSOTEO]2.0.CO;2. (Pubitemid 36314953)
29. Núñez, M. (2009), Real-time forecasting of SEP events with warning time of up to seven-hours and low false alarm rate, paper presented at Space Weather Workshop 2009, NOAA, Boulder, Colo.
30. Núñez, M., and D. Núñez (2009), A model for predicting the onset and intensity of well-connected SEPs and its evaluation for cycles 22 and 23, paper presented at 6th European Space Weather Week, Sol. Terr. Cent. of Excellence, Bruges, Belgium.
31. Núñez, M., R. Fidalgo, M. Baena, and R. Morales (2005), The influence of active region information in the prediction of solar flares: An empirical model using data mining, Ann. Geophys., 23(9), 3129-3138, doi:10.5194/angeo-23-3129-2005. (Pubitemid 43091272)
32. Núñez, M., R. Fidalgo, and R. Morales (2006), On forecasting the onset of solar proton events, in Proceedings of the IAU Symposium 233: Solar Activity and Its Magnetic Origins, edited by V. Bothmer and A. Hady, pp. 81-82, Cambridge Univ. Press, Cambridge, U. K. (Pubitemid 44707334)
33. Odstrcil, D., V. J. Pizzo, J. A. Linker, P. Riley, R. Lionello, and Z. Mikic (2004), Initial coupling of coronal and heliospheric numerical mag-netohydrodynamic codes, J. Atmos. Sol. Terr. Phys., 66, 1311-1320, doi:10.1016/j.jastp.2004.04.007. (Pubitemid 39437073)
34. Parker, E. N. (1958), Dynamics of the interplanetary gas and magnetic fields, Astrophys. J., 128, 664-676, doi:10.1086/146579.
35. Posner, A. (2007), Up to 1-hour forecasting of radiation hazards from solar energetic ion events with relativistic electrons, Space Weather, 5, S05001, doi:10.1029/2006SW000268.
36. Qahwaji, R., and T. Colak (2007), Automatic short-term solar flare prediction using machine learning and sunspot associations, Sol. Phys., 241, 195-211, doi:10.1007/s11207-006-0272-5.
37. Quinlan, J. R. (1992), Learning with continuous classes, in Proceedings of the 5th Australian Joint Conference on Artificial Intelligence, edited by A. Adams and L. Sterling, pp. 343-348, World Sci., Singapore.
38. Rapp, D. (2006), Radiation effects and shielding requirements in human missions to the Moon and Mars, Mars, 2, 46-71, doi:10.1555/mars.2006.0004.
39. Reames, D. V. (2004), Solar energetic particle variations, Adv. Space Res., 34(2), 381-390, doi:10.1016/j.asr.2003.02.046. (Pubitemid 38804571)
40. Schwadron, N. A., et al. (2010), Earth-Moon-Mars Radiation Environment Module framework, Space Weather, 8, S00E02, doi:10.1029/2009SW000523.
41. Sokolov, I. V., I. I. Roussev, T. I. Gombosi, M. A. Lee, J. Kóta, T. G. Forbes, W. B. Manchester, and J. I. Sakai (2004), A new field line advection model for solar particle acceleration, Astrophys. J., 616, L171-L174, doi:10.1086/426812. (Pubitemid 40031459)
42. Tóth, G., et al. (2005), Space Weather Modeling Framework: A new tool for the space science community, J. Geophys. Res., 110, A12226, doi:10.1029/2005JA011126. (Pubitemid 44971502)
43. Tylka, A. J., C. M. S. Cohen, W. F. Dietrich, M. A. Lee, C. G. Maclennan, R. A. Mewaldt, C. K. Ng, and D. V. Reames (2005), Shock geometry, seed populations, and origin of variable elemental composition at high energies in large gradual particle events, Astrophys. J., 625, 474-495, doi:10.1086/429384. (Pubitemid 40976482)
44. Wang, Y., and I. Witten (1997), Inducing model trees for continuous classes, in Proceedings of Poster Papers, 9th European Conference on Machine Learning, edited by M. W. van Someren and G. Widmer, pp. 128-137, Springer, Berlin.
45. Wei, W. W. S. (2005), Time Series Analysis: Univariate and Multivariate Methods, Pearson Addison Wesley, Boston, Mass.
46. Wichard, J. D., and M. Ogorzałek (2007), Time series prediction with ensemble models applied to the CATS benchmark, Neurocomputing, 70, 2371-2378, doi:10.1016/j.neucom.2005.12.136. (Pubitemid 46825386)
47. Wilcoxon, F. (1945), Individual comparisons by ranking methods, Biometrics, 1, 80-88, doi:10.2307/3001968.
48. Xie, H., L. Ofman, and G. Lawrence (2004), Cone model for halo CMEs: Application to space weather forecasting, J. Geophys. Res., 109, A03109, doi:10.1029/2003JA010226.