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  • NAM2019
    • Registration
    • Key Dates & Outline Schedule
    • Practical Information
    • Exhibitors
    • Grants & Bursaries
    • Contacts
  • Science
    • Science Programme
    • Parallel Sessions
    • Plenary Talks
    • Community Session
    • Special Lunches
    • Posters
    • Presenter Guidelines
  • Social
    • What's On
    • Welcome Reception
    • RAS Awards Dinner
  • Media
  • Outreach
    • Outreach and Education Day
    • Fringe Event
    • School Visit Day
  • Lancaster
    • Travel
    • Accommodation
    • Childcare
    • Campus Map
    • About Lancaster
    • Code of Conduct

Programme by Session

Schedule

id
Monday
date time
AM
09:54
Abstract
The Directional Statistics of Extreme Geomagnetic Field Variations
Faraday LT

Abstract details

id
The Directional Statistics of Extreme Geomagnetic Field Variations
Date Submitted
2019-03-13 10:02:09
Neil
Rogers
Lancaster University
Mapping the influence of Magnetosphere-Ionosphere interactions on the surface magnetic field and grounded infrastructure
Talk
N. C. Rogers, J. A. Wild, and E. Eastoe
Understanding the statistics of large and rapid changes in the horizontal component of the geomagnetic field (dB/dt) is important in modelling the probabilities of geomagnetically induced currents (GIC) in ground infrastructure. In a study of |dB/dt| measured at 125 magnetometers worldwide over several decades, extreme value theory (Coles, 2001) was used to predict the magnitudes of such events for return periods up to 200 years. These were modelled as a function of geomagnetic latitude, magnetic local time, season, solar activity, and the orientation of the interplanetary magnetic field. Patterns of occurrence relate closely to the known statistics of ionospheric and magnetospheric current systems associated with Sudden Commencements, Pc5 ULF waves, and auroral substorm onsets.

Directionality is an important consideration when assessing the risk of GICs affecting long cables and networks. We have therefore examined the directional statistics of the field fluctuations, drawing on methods developed for other environmental datasets (extreme sea currents, wind speeds, etc.). The modal directions of dB/dt are associated with the principal current systems driving the field fluctuations and also depend on the time-scale (dt) of the fluctuation.

Reference:
S. Coles, An introduction to Statistical Modeling of Extreme Values, Springer-Verlag London ltd, 2001.

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