Quantifying extreme behavior in geomagnetic activity

Space Weather

Volumn 9, Issue 10, 2011, Pages

  Thomson, Alan W P ^a   Dawson, Ewan B ^a   Reay, Sarah J ^a  

^a BRITISH GEOLOGICAL SURVEY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 80054000873     PISSN: None     EISSN: 15427390     Source Type: Journal    
DOI: 10.1029/2011SW000696     Document Type: Article

References (17)

1. Beirlant, J., Y. Goegebeur, J. Segers, and J. Teugels (2004), Statistics of Extremes, John Wiley, Chichester, U. K.
2. Cliver, E., and L. Svalgaard (2004), The 1859 solar-terrestrial disturbance and the current limits of extreme space weather activity, Sol. Phys., 224(1-2), 407-422, doi:10.1007/s11207-005-4980-z. (Pubitemid 40622201)
3. Coles, S. (2004), An Introduction to Statistical Modelling of Extreme Values, Springer, London.
4. Gilleland, E., and R. W. Katz (2006), Analyzing seasonal to interannual extreme weather and climate variability with the extremes toolkit (extRemes), paper presented at the 18th Conference on Climate Variability and Change, 86th American Meteorological Society (AMS) Annual Meeting, Atlanta, Ga., 29 Jan. to 2 Feb. [Available at http:// www.ral.ucar.edu/staff/ericg/.]
5. Koons, H. C. (2001), Statistical analysis of extreme values in space science, J. Geophys. Res., 106, 10,915-10,921, doi:10.1029/2000JA000234. (Pubitemid 33726975)
6. Lanzerotti, L. J. (2001), Space weather effects on technologies, in Space Weather, Geophys. Monogr. Ser., vol. 125, edited by P. Song, H. J. Singer, and G. L. Siscoe, pp. 11-22, AGU, Washington, D. C.
7. O'Brien, T. P., J. F. Fennell, J. L. Roeder, and G. D. Reeves (2007), Extreme electron fluxes in the outer zone, Space Weather, 5, S01001, doi:10.1029/2006SW000240.
8. Pirjola, R., K. Kauristie, H. Lappalainen, and A. Viljanen (2005), Space weather risk, Space Weather, 3, S02A02, doi:10.1029/2004SW000112.
9. Reay, S. J., W. Allen, O. Baillie, J. Bowe, E. Clarke, V. Lesur, and S. Macmillan (2005), Space weather effects on drilling accuracy in the North Sea, Ann. Geophys., 23, 3081-3088, doi:10.5194/angeo-23-3081-2005. (Pubitemid 43091266)
10. R Foundation for Statistical Computing (2008), R: A Language and Environment for Statistical Computing, Vienna. [Available at http:// www.r-project.org.]
11. Silbergleit, V. M. (1996), On the occurrence of geomagnetic storms with sudden commencements, J. Geomagn. Geoelectr., 48, 1011-1016, doi:10.5636/jgg.48.1011. (Pubitemid 126778314)
12. Silbergleit, V. M. (1999), Forecast of the most geomagnetically disturbed days, Earth Planets Space, 51, 19-22. (Pubitemid 29285883)
13. Siscoe, G. L. (1976), On the statistics of the largest geomagnetic storms per solar cycle, J. Geophys. Res., 81, 4782-4784, doi:10.1029/ JA081i025p04782.
14. Stephenson, A., and E. Gilleland (2006), Software for the analysis of extreme events: The current state and future directions, Extremes, 8, 87-109, doi:10.1007/s10687-006-7962-0.
15. Thomson, A. W. P. (2007), Geomagnetic hazard, in Encyclopaedia of Geomagnetism and Paleomagnetism, edited by D. Gubbins and E. Herrero-Bervera, pp. 316-319, Springer, Dordrecht, Netherlands, doi:10.1007/978-1-4020-4423-6- 117.
16. Thomson, A. W. P., C. T. Gaunt, P. Cilliers, J. A. Wild, B. Opperman, L.-A. McKinnell, P. Kotze, C. M. Ngwira, and S. I. Lotz (2010), Present day challenges in understanding the geomagnetic hazard to national power grids, Adv. Space Res., 45(9), 1182-1190, doi:10.1016/j. asr.2009.11.023.
17. Tsubouchi, K., and Y. Omura (2007), Long-term occurrence probabilities of intense geomagnetic storm events, Space Weather, 5, S12003, doi:10.1029/2007SW000329.