S‐transform view of geomagnetically induced currents during geomagnetic superstorms

[1] A novel time-frequency analysis method (S-transform) capable of handling noisy non-stationary signals is applied to study the properties of geomagnetically induced current (GIC) fluctuations in the Finnish natural gas pipeline. New local time- and storm phase-dependent S-transform spectral properties of auroral region GIC fluctuations during geomagnetic superstorms are reported. More specifically, the S-transform spectra have two distinct regions containing the most of the spectral power that persisted from storm to storm: main phase-related wide-band fluctuations driven possibly by a substorm-type ionospheric activity centered around the local midnight and recovery phase-related narrow-band fluctuations associated with Pc5 range geomagnetic pulsations in the local morning region. Based on this observed “stability”, a new S-transform-based statistical approach using, for example, an ensemble of different S-transform responses for known storms is proposed for GIC prediction.

[1]  Peter Wintoft,et al.  Study of the solar wind coupling to the time difference horizontal geomagnetic field , 2005 .

[2]  Vadim M. Uritsky,et al.  Spatiotemporal scaling properties of the ground geomagnetic field variations , 2006 .

[3]  MansinhaL..  Localization of the complex spectrum , 1996 .

[4]  John G. Kappenman,et al.  Storm sudden commencement events and the associated geomagnetically induced current risks to ground‐based systems at low‐latitude and midlatitude locations , 2003 .

[5]  D. Boteler,et al.  Case studies of space weather events from their launching on the Sun to their impacts on power systems on the Earth , 2002 .

[6]  David Boteler,et al.  The effects of geomagnetic disturbances on electrical systems at the earth's surface , 1998 .

[7]  G. Rostoker.  Phenomenology and physics of magnetospheric substorms , 1996 .

[8]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[9]  Lalu Mansinha,et al.  Localization of the complex spectrum: the S transform , 1996, IEEE Trans. Signal Process..

[10]  C. W. Gardiner,et al.  Handbook of stochastic methods - for physics, chemistry and the natural sciences, Second Edition , 1986, Springer series in synergetics.

[11]  Antti Pulkkinen,et al.  Time derivative of the horizontal geomagnetic field as an activity indicator , 2001 .

[12]  Sture Lindahl,et al.  Geomagnetic storm of 29–31 October 2003: Geomagnetically induced currents and their relation to problems in the Swedish high‐voltage power transmission system , 2005 .

[13]  Antti Pulkkinen,et al.  Recordings and occurrence of geomagnetically induced currents in the Finnish natural gas pipeline network , 2001 .

[14]  Dietrich Stoyan,et al.  Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences.@@@Elements of Applied Stochastic Processes, 2nd Edition.@@@Comparison Methods for Queues and Other Stochastic Models.@@@Parameter Estimation for Stochastic Processes. , 1986 .

[15]  A. Thomson,et al.  April 2000 geomagnetic storm: ionospheric drivers of large geomagnetically induced currents , 2002 .

[16]  D. Vassiliadis,et al.  Coupling of the solar wind to temporal fluctuations in ground magnetic fields , 2002 .

[17]  Eric Donovan,et al.  A comprehensive survey of auroral latitude Pc5 pulsation characteristics , 2003 .

[18]  R. S. Weigel,et al.  Probability distribution invariance of 1‐minute auroral‐zone geomagnetic field fluctuations , 2003 .

[19]  Antti Pulkkinen,et al.  Relation between substorm characteristics and rapid temporal variations of the ground magnetic field , 2006 .