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Ionospheric and Magnetospheric Drivers of Extreme Geomagnetic Field Fluctuations

Research output: Contribution to conference - Without ISBN/ISSN Abstract

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Ionospheric and Magnetospheric Drivers of Extreme Geomagnetic Field Fluctuations. / Rogers, Neil Christopher; Wild, James Anderson; Eastoe, Emma Frances.
2019. Abstract from RAS Specialist Discussion Meeting: Global Response of the Terrestrial Magnetosphere during Storms and Substorms, London, United Kingdom.

Research output: Contribution to conference - Without ISBN/ISSN Abstract

Harvard

Rogers, NC, Wild, JA & Eastoe, EF 2019, 'Ionospheric and Magnetospheric Drivers of Extreme Geomagnetic Field Fluctuations', RAS Specialist Discussion Meeting: Global Response of the Terrestrial Magnetosphere during Storms and Substorms, London, United Kingdom, 8/02/19.

APA

Rogers, N. C., Wild, J. A., & Eastoe, E. F. (2019). Ionospheric and Magnetospheric Drivers of Extreme Geomagnetic Field Fluctuations. Abstract from RAS Specialist Discussion Meeting: Global Response of the Terrestrial Magnetosphere during Storms and Substorms, London, United Kingdom.

Vancouver

Rogers NC, Wild JA, Eastoe EF. Ionospheric and Magnetospheric Drivers of Extreme Geomagnetic Field Fluctuations. 2019. Abstract from RAS Specialist Discussion Meeting: Global Response of the Terrestrial Magnetosphere during Storms and Substorms, London, United Kingdom.

Author

Rogers, Neil Christopher ; Wild, James Anderson ; Eastoe, Emma Frances. / Ionospheric and Magnetospheric Drivers of Extreme Geomagnetic Field Fluctuations. Abstract from RAS Specialist Discussion Meeting: Global Response of the Terrestrial Magnetosphere during Storms and Substorms, London, United Kingdom.1 p.

Bibtex

@conference{53a25ccddcaa48d7b5424ee3b675e31c,
title = "Ionospheric and Magnetospheric Drivers of Extreme Geomagnetic Field Fluctuations",
abstract = "The statistics of unusually high rates of change in the horizontal component of the geomagnetic field (dB/dt) are a useful indicator of the likelihood of damaging geomagnetically induced currents (GIC) in ground-based infrastructure such as electricity networks. Using extreme value theory [Coles, 2001] we present a global model of the probability of extreme |dB/dt| based on several decades of measurements from 125 magnetometers worldwide, with time cadences (dt) ranging from 1 to 60 minutes. The occurrence rate of peaks above the 99.97th percentile is a function of magnetic latitude, magnetic local time, month, sunspot number, and the direction of the field fluctuation. This information may be used to improve the extreme value model. The patterns of occurrence will be presented and compared with previously studied distributions of Sudden Commencements, Pc5 ULF waves, and substorm onsets, giving insight into the relative importance of these drivers in GIC modelling. Reference: S. Coles, An introduction to Statistical Modeling of Extreme Values, Springer-Verlag London ltd, 2001.",
keywords = "Geomagnetically induced currents (GIC), Magnetosphere, space weather, Ionosphere",
author = "Rogers, {Neil Christopher} and Wild, {James Anderson} and Eastoe, {Emma Frances}",
year = "2019",
month = jan,
day = "18",
language = "English",
note = "RAS Specialist Discussion Meeting: Global Response of the Terrestrial Magnetosphere during Storms and Substorms ; Conference date: 08-02-2019",
url = "http://ras.ac.uk/events-and-meetings/ras-meetings/global-response-terrestrial-magnetosphere-during-storms-and",

}

RIS

TY - CONF

T1 - Ionospheric and Magnetospheric Drivers of Extreme Geomagnetic Field Fluctuations

AU - Rogers, Neil Christopher

AU - Wild, James Anderson

AU - Eastoe, Emma Frances

PY - 2019/1/18

Y1 - 2019/1/18

N2 - The statistics of unusually high rates of change in the horizontal component of the geomagnetic field (dB/dt) are a useful indicator of the likelihood of damaging geomagnetically induced currents (GIC) in ground-based infrastructure such as electricity networks. Using extreme value theory [Coles, 2001] we present a global model of the probability of extreme |dB/dt| based on several decades of measurements from 125 magnetometers worldwide, with time cadences (dt) ranging from 1 to 60 minutes. The occurrence rate of peaks above the 99.97th percentile is a function of magnetic latitude, magnetic local time, month, sunspot number, and the direction of the field fluctuation. This information may be used to improve the extreme value model. The patterns of occurrence will be presented and compared with previously studied distributions of Sudden Commencements, Pc5 ULF waves, and substorm onsets, giving insight into the relative importance of these drivers in GIC modelling. Reference: S. Coles, An introduction to Statistical Modeling of Extreme Values, Springer-Verlag London ltd, 2001.

AB - The statistics of unusually high rates of change in the horizontal component of the geomagnetic field (dB/dt) are a useful indicator of the likelihood of damaging geomagnetically induced currents (GIC) in ground-based infrastructure such as electricity networks. Using extreme value theory [Coles, 2001] we present a global model of the probability of extreme |dB/dt| based on several decades of measurements from 125 magnetometers worldwide, with time cadences (dt) ranging from 1 to 60 minutes. The occurrence rate of peaks above the 99.97th percentile is a function of magnetic latitude, magnetic local time, month, sunspot number, and the direction of the field fluctuation. This information may be used to improve the extreme value model. The patterns of occurrence will be presented and compared with previously studied distributions of Sudden Commencements, Pc5 ULF waves, and substorm onsets, giving insight into the relative importance of these drivers in GIC modelling. Reference: S. Coles, An introduction to Statistical Modeling of Extreme Values, Springer-Verlag London ltd, 2001.

KW - Geomagnetically induced currents (GIC)

KW - Magnetosphere

KW - space weather

KW - Ionosphere

M3 - Abstract

T2 - RAS Specialist Discussion Meeting: Global Response of the Terrestrial Magnetosphere during Storms and Substorms

Y2 - 8 February 2019

ER -