Investigating the Drivers of Geomagnetically Induced Currents
Lead Research Organisation:
University of Leicester
Department Name: Physics and Astronomy
Abstract
The Earth's magnetic field sits within the changeable, dynamic environment of the solar wind. The interaction of the two regimes drives rapid reconfigurations of the Earth's field, which induce currents to flow in conductors on the ground. These Geomagnetically Induced Currents (GICs) can be 10s to 100s of Amps, and can cause transformer heating and higher harmonics in power grids, degradation to metal pipelines, and signalling malfunctions on railway systems. The Lloyd's of London 2013 Space Weather report concluded that a once-in-a-Century event 'would cause major disruption to transport, food supplies, emergency and hospital services amongst other things...The absence of such fundamental services could lead to major and widespread social unrest, riots and theft with ramifications for the insurance industry and society in general'. The cost of such an event to the UK has been estimated at £0.9-15.9 billion, and while such huge events are rare, smaller, damaging, events are routinely observed.
The key to predicting the location and magnitude of GICs is understanding the chain of causality from the Sun to the Earth's surface, and having instrumentation in key locations to make the measurements required for forecasting. Typical solar wind structures that drive powerful GICs have been identified, and can provide some early warning of extreme dynamics in the Earth's system. The other end of the chain, inducing currents in conductors on the ground due to a variable magnetic field, may be addressed through the application of Faraday's Law, given the conductivity of the local regolith, and the conductivity, length and orientation of the conductor. Typically, this research is funded by individual nations focussing on operational risk to their own critical infrastructure, and therefore the global picture is less well understood. The missing link required for accurate GIC forecasting is the physics of the central part of the chain: understanding how the highly dynamic ionospheric current systems generate the geomagnetic disturbances that drive GICs measured in infrastructure, thus enabling the coupling of existing solar wind/magnetosphere models with ground-based conductivity maps.
We will use data from ground-based magnetometers (>200 stations) spread across every continent, to determine the location, timing and intensity of all geomagnetic disturbances over an eight-year period (2010-2017). These signatures will be related to their ionospheric drivers using a constellation of 66 satellites in low-Earth orbit which provide continual 2-minute snapshots of the magnetic energy stored in the system during this time period, and accurately characterise the location, direction and magnitude of the ionospheric current systems. The novelty of this approach is combining these two data sets for the first time to allow a global, statistical analysis over an entire solar maximum period.
We will largely focus on high latitude regions (including northern Europe, Canada and the northern United States) where the most intense GICs are observed. Our work is relevant to space weather service providers (such as the UK Met Office), the energy and rail industries, and governments who monitor risk to critical infrastructure, as well as for future infrastructure planning. We will also study equatorial and mid-latitude disturbances, as these have the potential to disrupt infrastructure supporting major population centres, and the combination of equatorial and higher-latitude events could be highly damaging to infrastructure on a continental scale (such as in South America). This work will be a pathfinder for the feasibility of nowcasting, and perhaps even forecasting, of GICs, using acombination of existing satellite networks and solar wind monitors.
The key to predicting the location and magnitude of GICs is understanding the chain of causality from the Sun to the Earth's surface, and having instrumentation in key locations to make the measurements required for forecasting. Typical solar wind structures that drive powerful GICs have been identified, and can provide some early warning of extreme dynamics in the Earth's system. The other end of the chain, inducing currents in conductors on the ground due to a variable magnetic field, may be addressed through the application of Faraday's Law, given the conductivity of the local regolith, and the conductivity, length and orientation of the conductor. Typically, this research is funded by individual nations focussing on operational risk to their own critical infrastructure, and therefore the global picture is less well understood. The missing link required for accurate GIC forecasting is the physics of the central part of the chain: understanding how the highly dynamic ionospheric current systems generate the geomagnetic disturbances that drive GICs measured in infrastructure, thus enabling the coupling of existing solar wind/magnetosphere models with ground-based conductivity maps.
We will use data from ground-based magnetometers (>200 stations) spread across every continent, to determine the location, timing and intensity of all geomagnetic disturbances over an eight-year period (2010-2017). These signatures will be related to their ionospheric drivers using a constellation of 66 satellites in low-Earth orbit which provide continual 2-minute snapshots of the magnetic energy stored in the system during this time period, and accurately characterise the location, direction and magnitude of the ionospheric current systems. The novelty of this approach is combining these two data sets for the first time to allow a global, statistical analysis over an entire solar maximum period.
We will largely focus on high latitude regions (including northern Europe, Canada and the northern United States) where the most intense GICs are observed. Our work is relevant to space weather service providers (such as the UK Met Office), the energy and rail industries, and governments who monitor risk to critical infrastructure, as well as for future infrastructure planning. We will also study equatorial and mid-latitude disturbances, as these have the potential to disrupt infrastructure supporting major population centres, and the combination of equatorial and higher-latitude events could be highly damaging to infrastructure on a continental scale (such as in South America). This work will be a pathfinder for the feasibility of nowcasting, and perhaps even forecasting, of GICs, using acombination of existing satellite networks and solar wind monitors.
Publications
Bower G
(2024)
Location of Geomagnetic Disturbances in Relation to the Field Aligned Current Boundary
in Journal of Geophysical Research: Space Physics
Fleetham A
(2024)
The Relationship Between Large dB/dt and Field-Aligned Currents During Five Geomagnetic Storms
in Journal of Geophysical Research: Space Physics
Fleetham A
(2023)
Solar Wind Control of Hemispherically-Integrated Field-Aligned Currents at Earth
in Journal of Geophysical Research: Space Physics
Milan S
(2023)
Solar Wind-Magnetosphere Coupling During High-Intensity Long-Duration Continuous AE Activity (HILDCAA)
in Journal of Geophysical Research: Space Physics
Milan S
(2024)
Occurrence and Causes of Large dB / dt Events and AL Bays in the Pre-Midnight and Dawn Sectors
in Journal of Geophysical Research: Space Physics
Milan S
(2023)
The Association of Cusp-Aligned Arcs With Plasma in the Magnetotail Implies a Closed Magnetosphere
in Journal of Geophysical Research: Space Physics
Milan S
(2023)
Solar Cycle and Solar Wind Dependence of the Occurrence of Large dB / dt Events at High Latitudes
in Journal of Geophysical Research: Space Physics
Mooney M
(2024)
Plasma Observations in the Distant Magnetotail During Intervals of Northward IMF
in Journal of Geophysical Research: Space Physics
Nitti S
(2024)
Can XMM-Newton Be Used to Track Compositional Changes in the Solar Wind?
in Journal of Geophysical Research: Space Physics
| Description | An algorithm has been developed to automatically identify geomagnetically induced current (GIC) signatures in ground-based magnetometer data. A decade of SuperMAG data was analysed, and signatures of GICs were identified. Populations on the dayside, at dawn, and pre-midnight were observed, and their relationship to the field aligned current system was investigated. Finally, the relationship of the dawn GICs with asymmetry in the ring current was analysed. |
| Exploitation Route | The findings are already being used by the GIC community in the UK and internationally. |
| Sectors | Other |
| Title | GMDs in 1-second magnetometer data |
| Description | An automated algorithm has been developed to identify geomagnetic disturbances in global 1-second magnetometer data. |
| Type Of Material | Data analysis technique |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | This dataset will form the basis for a research paper to be submitted in 2024. |
| Title | List of geomagnetic disturbances 2010-2022 |
| Description | List of geomagnetic disturbances (GMDs) using SuperMAG 1 second data stations between 2010 and 2022Each line had the format of station ID, year, month, day, UT, GMD value (nT/10sec), GMD Field direction, Algorithm Flag, Wave frequency (Hz), Error on wave frequency (Hz), Y if Gaussian fit worked N otherwise. Algorithm flag is: B:Bad, D:Doubtful, W:Wave related, G:Good/Non wave related.This is the GMD list created with a threshold of 50 nT/10 sec generated using the method outlined in: Location of geomagnetic disturbances in relation to the field aligned current boundary G.E. Bower, S. Imber, S.E. Milan, A. Schillings, A.L. Fleetham and J. W. Gjerloev, Journal of Geophysical Research: Space Physics, submitted, 2024 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://figshare.le.ac.uk/articles/dataset/List_of_geomagnetic_disturbances_2010-2022/26954074/1 |
| Title | List of geomagnetic disturbances 2010-2022 |
| Description | List of geomagnetic disturbances (GMDs) using SuperMAG 1 second data stations between 2010 and 2022Each line had the format of station ID, year, month, day, UT, GMD value (nT/10sec), GMD Field direction, Algorithm Flag, Wave frequency (Hz), Error on wave frequency (Hz), Y if Gaussian fit worked N otherwise. Algorithm flag is: B:Bad, D:Doubtful, W:Wave related, G:Good/Non wave related.This is the GMD list created with a threshold of 50 nT/10 sec generated using the method outlined in: Location of geomagnetic disturbances in relation to the field aligned current boundary G.E. Bower, S. Imber, S.E. Milan, A. Schillings, A.L. Fleetham and J. W. Gjerloev, Journal of Geophysical Research: Space Physics, submitted, 2024 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://figshare.le.ac.uk/articles/dataset/List_of_geomagnetic_disturbances_2010-2022/26954074 |
| Title | SOPHIE-M substorm list |
| Description | This is the SOPHIE-M substorm list generated using the method outlined in Asymmetry in the ring current during geomagnetic disturbances by G.E. Bower, S. Imber, S.E. Milan, A. Schillings, A.L. Fleetham, C. Beggan and J. W. Gjerloev. Using the SOPHIE 90 EPT substorm list from Forsyth et al. 2015Data is presented in the format: year, month, day, hour, minute, phase and flag.Phase number: 0: Quite, 1: Growth, 2: Recovery, 3: Expansion and 4: Multiple intensification Flag from SOPHIE 90 EPT list indicating that the rate of change of SMU is similar to that of SML in the expansion phase (0 for no flag, 1 for flag). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| URL | https://figshare.le.ac.uk/articles/dataset/SOPHIE-M_substorm_list/28143227 |
| Description | Nine Lessons - space weather |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Prof Imber participated in Nine Lessons and Carols, an event raising money for charity, organised by Robin Ince, in December 2023. Her 'lesson' was on Space Weather, and was delivered to a general audience of around 500 people. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Repeated School Visits by RA Gemma Bower |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Repeated visits to a local school to engage students in a research project related to the topic of the grant. |
| Year(s) Of Engagement Activity | 2023,2024 |
| Description | Summer Schools |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | Prof Imber ran residential summer schools funded by the Royal Society for WP year 12 students from across the country. One of the activities was space weather prediction. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Work Experience weeks |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | Two week-long work experience weeks were held in June/July 2023. 80 year 10 and 12 students attended, and one of the activities was a space weather workshop, directly linked to this grant. |
| Year(s) Of Engagement Activity | 2023 |