Extreme Value Analysis of Induced Geoelectric Field in South Africa. Issue 10 (21st October 2017)
- Record Type:
- Journal Article
- Title:
- Extreme Value Analysis of Induced Geoelectric Field in South Africa. Issue 10 (21st October 2017)
- Main Title:
- Extreme Value Analysis of Induced Geoelectric Field in South Africa
- Authors:
- Lotz, S. I.
Danskin, D. W. - Abstract:
- Abstract: Extreme geomagnetic disturbances occur rarely but can have great impact on technological systems such as power supply networks. Long‐term planning for extreme events requires the estimation of event impact for occurrence periods greater than the length of observed data. With this in mind an analysis of extreme geomagnetic events observed in South Africa (middle geomagnetic latitude) is performed over four solar cycles (1974–2015). An algorithm to identify active periods with minimum S Y M ‐ H ≤−100 nT is demonstrated. The sum of induced electric field over the course of each event is used to characterize the severity of each active period. It is found that the severity index (accumulated electric field magnitude Σ E ) shares a highly linear relationship with accumulated S Y M ‐ H over each event. The index Σ E is lognormal distributed, with tail deviating greater than lognormal, confirming heavy‐tailed occurrence. A general Pareto distribution is fitted to the tail of the distribution and extrapolated to calculate the return levels of extreme events. Return levels of once in 100 and once in 200 year events are estimated to be 9.4 × 10 4 mV/km min and 1.09 × 10 5 mV/km min, respectively. The top three events, in ascending order of severity, are the March 1989 storm, the events of late October 2003, and the April 1994 event—a long interval of coronal‐hole driven disturbances, bookended by two intense geomagnetic storms. Plain Language Summary: Planning for futureAbstract: Extreme geomagnetic disturbances occur rarely but can have great impact on technological systems such as power supply networks. Long‐term planning for extreme events requires the estimation of event impact for occurrence periods greater than the length of observed data. With this in mind an analysis of extreme geomagnetic events observed in South Africa (middle geomagnetic latitude) is performed over four solar cycles (1974–2015). An algorithm to identify active periods with minimum S Y M ‐ H ≤−100 nT is demonstrated. The sum of induced electric field over the course of each event is used to characterize the severity of each active period. It is found that the severity index (accumulated electric field magnitude Σ E ) shares a highly linear relationship with accumulated S Y M ‐ H over each event. The index Σ E is lognormal distributed, with tail deviating greater than lognormal, confirming heavy‐tailed occurrence. A general Pareto distribution is fitted to the tail of the distribution and extrapolated to calculate the return levels of extreme events. Return levels of once in 100 and once in 200 year events are estimated to be 9.4 × 10 4 mV/km min and 1.09 × 10 5 mV/km min, respectively. The top three events, in ascending order of severity, are the March 1989 storm, the events of late October 2003, and the April 1994 event—a long interval of coronal‐hole driven disturbances, bookended by two intense geomagnetic storms. Plain Language Summary: Planning for future extreme events like catastrophic floods or geomagnetic storms is difficult if the interval measured over is shorter than the planning period. This research deals with such a case. We only have 41 years' worth of data, but we wanted to know how extreme the once‐in‐a‐hundred‐years and once in 200 years events will be. To solve this, we quantify the severity of each significant event over the 41 year period by a single number, by adding up electric field induced in the Earth's surface by the geomagnetic perturbations over the course of an event. This collection of numbers—one for each event—is analyzed with statistical methods to guess how extreme the once in a 100 and once in 200 year events will be. The induced electric field tells us something about the effect that a geomagnetic storm will have on power network infrastructure, so this research enables power companies in South Africa to plan for future events. The methods used here are clearly explained so that this study can be reproduced by other researchers in different parts of the world. Key Points: Intense storms over four solar cycles are identified and their severity quantified by accumulated induced geoelectric field and S Y M ‐ H Accumulated E field, accumulated S Y M ‐ H, and event duration all show similarly shaped fat‐tailed distributions over four solar cycles Accumulated E field at Hermanus is estimated for 1/100 and 1/200 year occurrence … (more)
- Is Part Of:
- Space weather. Volume 15:Issue 10(2017:Oct.)
- Journal:
- Space weather
- Issue:
- Volume 15:Issue 10(2017:Oct.)
- Issue Display:
- Volume 15, Issue 10 (2017)
- Year:
- 2017
- Volume:
- 15
- Issue:
- 10
- Issue Sort Value:
- 2017-0015-0010-0000
- Page Start:
- 1347
- Page End:
- 1356
- Publication Date:
- 2017-10-21
- Subjects:
- geoelectric field -- extreme value analysis -- geomagnetically induced currents
Space environment -- Periodicals
551.509992 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1542-7390 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2017SW001662 ↗
- Languages:
- English
- ISSNs:
- 1542-7390
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8361.669600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8595.xml