Near Real Time Forecasting of Ground Magnetic Fluctuations and Geomagnetically Induced Currents Risk Assessment
Abstract
Geomagnetically Induced Currents (GIC) are a constant threat to technological systems, pipelines and the power grid. Although direct GIC measurements are scarce, accurate prediction of ground magnetic field fluctuations can provide valuable information to correctly assess GIC risk of occurrence. By combining near-real time data streamed from NOAA for solar wind particles and magnetic fields with our recently developed series of machine learning-based models for the prediction of dB H /dt at several ground magnetometer stations at high and mid-latitudes, we present our efforts to build a real-time forecasting and risk assessment online platform.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMIN039..11L
- Keywords:
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- 3360 Remote sensing;
- ATMOSPHERIC PROCESSES;
- 1964 Real-time and responsive information delivery;
- INFORMATICS;
- 4315 Monitoring;
- forecasting;
- prediction;
- NATURAL HAZARDS;
- 7924 Forecasting;
- SPACE WEATHER