EMRP2.3 | Measuring, modelling and forecasting Geomagnetically Induced Currents in grounded infrastructure
EDI
Measuring, modelling and forecasting Geomagnetically Induced Currents in grounded infrastructure
Co-organized by ST4
Convener: Adamantia Zoe BoutsiECSECS | Co-conveners: Giulia PignatielloECSECS, Ciaran Beggan, Roberta Tozzi

Geomagnetically Induced Currents (GICs) pose a significant threat to grounded infrastructures such as high-voltage transformers, oil and gas pipelines and rail networks. Understanding their impact is vital for safeguarding critical national infrastructures and minimizing potential economic consequences. GICs are generated by geoelectric fields induced in the resistive subsurface of the Earth during periods of rapid changes of the Earth's magnetic field, typically during geomagnetic storms. However, an increasing body of evidence suggests that GICs can occur also during periods of nominally quiet conditions. We seek contributions from studies that measure (directly or indirectly) or model GICs in grounded infrastructure, assess the potential hazard and vulnerability of the infrastructures and advance the development of reliable models for forecasting the potential impacts of severe space weather events.

Geomagnetically Induced Currents (GICs) pose a significant threat to grounded infrastructures such as high-voltage transformers, oil and gas pipelines and rail networks. Understanding their impact is vital for safeguarding critical national infrastructures and minimizing potential economic consequences. GICs are generated by geoelectric fields induced in the resistive subsurface of the Earth during periods of rapid changes of the Earth's magnetic field, typically during geomagnetic storms. However, an increasing body of evidence suggests that GICs can occur also during periods of nominally quiet conditions. We seek contributions from studies that measure (directly or indirectly) or model GICs in grounded infrastructure, assess the potential hazard and vulnerability of the infrastructures and advance the development of reliable models for forecasting the potential impacts of severe space weather events.