Scientific Understanding and the Risk from Extreme Space Weather
Mike Hapgood

TL;DR
This paper discusses the challenges of understanding and assessing the risks of extreme space weather events, highlighting the need for alternative approaches like proxy data, studies of other solar systems, and physics-based modelling due to limited historical data.
Contribution
It reviews current methods and proposes expanding techniques for monitoring and modelling severe space weather risks using physics-based approaches and astrophysical observations.
Findings
Proxy data effectively assess radiation storm risks.
Limited data hampers geomagnetic storm risk assessment.
Physics-based models are essential for understanding severe space weather.
Abstract
Like all natural hazards, space weather exhibits occasional extreme events over timescales of decades to centuries. Historical events provoked much interest but had little economic impact. However, the widespread adoption of advanced technological infrastructures over the past fifty years gives these events the potential to disrupt those infrastructures - and thus create profound economic and societal impact. However, like all extreme hazards, such events are rare, so we have limited data on which to build our understanding of the events. Many other natural hazards (e.g. flash floods) are highly localised, so statistically significant datasets can be assembled by combining data from independent instances of the hazard recorded over a few decades. But we have a single instance of space weather so we would have to make observations for many centuries in order to build a statistically…
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Taxonomy
TopicsIonosphere and magnetosphere dynamics · Solar and Space Plasma Dynamics · Geomagnetism and Paleomagnetism Studies
