An automated pipeline forecasts CME magnetic fields at L1 using initial magnetic obstacle data, achieving errors of roughly 5 hours in timing and 10 nT in strength comparable to full-event reconstructions.
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3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
An integrated multi-hazard risk framework applied to the US high-voltage grid finds tropical cyclone wind causes the highest expected daily damage ($137M) while tornadoes drive the largest downstream economic losses ($4.93B/day), with a compound freezing rain/wind scenario producing the most severe
Measurements from the May 2024 storm show strong correlation between observed and TVA-computed GICs, moderate model performance for magnetic perturbations, and empirical links between GIC magnitude and factors of separation distance, ground conductivity scaling, and geomagnetic latitude.
citing papers explorer
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Towards a Fully Automated Pipeline for Short-Term Forecasting of In Situ Coronal Mass Ejection Magnetic Field Structure
An automated pipeline forecasts CME magnetic fields at L1 using initial magnetic obstacle data, achieving errors of roughly 5 hours in timing and 10 nT in strength comparable to full-event reconstructions.
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A Comparative Multi-Hazard Risk Assessment of the US High-Voltage Transmission Network
An integrated multi-hazard risk framework applied to the US high-voltage grid finds tropical cyclone wind causes the highest expected daily damage ($137M) while tornadoes drive the largest downstream economic losses ($4.93B/day), with a compound freezing rain/wind scenario producing the most severe
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GIC--Related Observations During the May 2024 Geomagnetic Storm in the United States
Measurements from the May 2024 storm show strong correlation between observed and TVA-computed GICs, moderate model performance for magnetic perturbations, and empirical links between GIC magnitude and factors of separation distance, ground conductivity scaling, and geomagnetic latitude.