Major Space Weather Risks Identified via Coupled Physics-Engineering-Economic Modeling

Fuente: arXiv
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Main Authors: Oughton, Edward J., Bor, Dennies K., Weigel, Robert, Gaunt, C. Trevor, Dogan, Ridvan, Huang, Liling, Love, Jeffrey J., Wiltberger, Michael
Format: Preprint
Published: 2024
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author Oughton, Edward J.
Bor, Dennies K.
Weigel, Robert
Gaunt, C. Trevor
Dogan, Ridvan
Huang, Liling
Love, Jeffrey J.
Wiltberger, Michael
author_facet Oughton, Edward J.
Bor, Dennies K.
Weigel, Robert
Gaunt, C. Trevor
Dogan, Ridvan
Huang, Liling
Love, Jeffrey J.
Wiltberger, Michael
contents Space weather poses an important but under-quantified threat to critical infrastructure, the economy, and society. While extreme geomagnetic storms are recognized as potential global catastrophes, their socio-economic impacts remain poorly quantified. Here we present a novel physics-engineering-economic framework that links geophysical drivers of geomagnetic storms to power grid geoelectric fields, transformer vulnerability, and macroeconomic consequences. Using the United States as an example, we estimate daily economic losses from transformer thermal heating of 1.37 billion USD (95 percent confidence interval: 1.16 to 1.58 billion USD) for a 100-year geomagnetic storm, with power outages affecting 4.1 million people and 101,000 businesses. A 250-year event could raise losses to 2.09 billion USD per day (95 percent confidence interval: 1.84 to 2.34 billion USD), disrupting power for more than 6 million people and 155,000 businesses. Crucially, the framework is scalable and transferable, offering a template for assessing space weather risk to critical infrastructure in other countries. This integrative approach provides the first end-to-end quantification of space weather socio-economic impacts, bridging space physics through to policy-relevant metrics. Our results demonstrate that coupled socio-economic modeling of space weather is both feasible and essential, enabling evidence-based decision making in infrastructure protection and global risk management.
format Preprint
id arxiv_https___arxiv_org_abs_2412_18032
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Major Space Weather Risks Identified via Coupled Physics-Engineering-Economic Modeling
Oughton, Edward J.
Bor, Dennies K.
Weigel, Robert
Gaunt, C. Trevor
Dogan, Ridvan
Huang, Liling
Love, Jeffrey J.
Wiltberger, Michael
Geophysics
Systems and Control
General Economics
Economics
Space weather poses an important but under-quantified threat to critical infrastructure, the economy, and society. While extreme geomagnetic storms are recognized as potential global catastrophes, their socio-economic impacts remain poorly quantified. Here we present a novel physics-engineering-economic framework that links geophysical drivers of geomagnetic storms to power grid geoelectric fields, transformer vulnerability, and macroeconomic consequences. Using the United States as an example, we estimate daily economic losses from transformer thermal heating of 1.37 billion USD (95 percent confidence interval: 1.16 to 1.58 billion USD) for a 100-year geomagnetic storm, with power outages affecting 4.1 million people and 101,000 businesses. A 250-year event could raise losses to 2.09 billion USD per day (95 percent confidence interval: 1.84 to 2.34 billion USD), disrupting power for more than 6 million people and 155,000 businesses. Crucially, the framework is scalable and transferable, offering a template for assessing space weather risk to critical infrastructure in other countries. This integrative approach provides the first end-to-end quantification of space weather socio-economic impacts, bridging space physics through to policy-relevant metrics. Our results demonstrate that coupled socio-economic modeling of space weather is both feasible and essential, enabling evidence-based decision making in infrastructure protection and global risk management.
title Major Space Weather Risks Identified via Coupled Physics-Engineering-Economic Modeling
topic Geophysics
Systems and Control
General Economics
Economics
url https://arxiv.org/abs/2412.18032