Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic Indices

Abstract Extreme space weather events are rare, and quantifying their likelihood is challenging, often relying on geomagnetic indices obtained from ground‐based magnetometer observations that span multiple solar cycles. The Dst index ring‐current monitor, derived from an hourly average over four low...

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Main Authors: A. Bergin, S. C. Chapman, N. W. Watkins, N. R. Moloney, J. W. Gjerloev
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Space Weather
Subjects:
Online Access:https://doi.org/10.1029/2022SW003304
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author A. Bergin
S. C. Chapman
N. W. Watkins
N. R. Moloney
J. W. Gjerloev
author_facet A. Bergin
S. C. Chapman
N. W. Watkins
N. R. Moloney
J. W. Gjerloev
author_sort A. Bergin
collection DOAJ
description Abstract Extreme space weather events are rare, and quantifying their likelihood is challenging, often relying on geomagnetic indices obtained from ground‐based magnetometer observations that span multiple solar cycles. The Dst index ring‐current monitor, derived from an hourly average over four low‐latitude stations, is a benchmark for extreme space weather events, and has been extensively studied statistically. We apply extreme value theory (EVT) to two geomagnetic ring current indices: SYM‐H (derived from 6 stations) and SMR (derived from up to 120 stations). EVT analysis reveals a divergence between the return level found for Dst, and those for SYM‐H and SMR, that increases non‐linearly with return period. For return periods below 10 years, hourly averaged SYM‐H and SMR have return levels similar to Dst, but at return periods of 50 and 100 years, they respectively exceed that of Dst by about 10% and 15% (SYM‐H) and about 7% and 12% (SMR). One minute resolution SYM‐H and SMR return levels progressively exceed that of Dst; their 5, 10, 50, and 100 year return levels exceed that of Dst by about 10%, 12%, 20% and 25% respectively. Our results indicate that consideration should be given to the differences between the indices if selecting one to use as a bench mark in model validation or resilience planning for the wide range of space weather sensitive systems that underpin our society.
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spelling doaj-art-2b41eae8f7cb4606ad2ab0460e0d2a002025-01-14T16:27:17ZengWileySpace Weather1542-73902023-03-01213n/an/a10.1029/2022SW003304Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic IndicesA. Bergin0S. C. Chapman1N. W. Watkins2N. R. Moloney3J. W. Gjerloev4Centre for Fusion, Space and Astrophysics Physics Department University of Warwick Coventry UKCentre for Fusion, Space and Astrophysics Physics Department University of Warwick Coventry UKCentre for Fusion, Space and Astrophysics Physics Department University of Warwick Coventry UKInstitute of Mathematics and Computer Sciences São Paulo University São Carlos BrazilJohns Hopkins University Applied Physics Laboratory Laurel MD USAAbstract Extreme space weather events are rare, and quantifying their likelihood is challenging, often relying on geomagnetic indices obtained from ground‐based magnetometer observations that span multiple solar cycles. The Dst index ring‐current monitor, derived from an hourly average over four low‐latitude stations, is a benchmark for extreme space weather events, and has been extensively studied statistically. We apply extreme value theory (EVT) to two geomagnetic ring current indices: SYM‐H (derived from 6 stations) and SMR (derived from up to 120 stations). EVT analysis reveals a divergence between the return level found for Dst, and those for SYM‐H and SMR, that increases non‐linearly with return period. For return periods below 10 years, hourly averaged SYM‐H and SMR have return levels similar to Dst, but at return periods of 50 and 100 years, they respectively exceed that of Dst by about 10% and 15% (SYM‐H) and about 7% and 12% (SMR). One minute resolution SYM‐H and SMR return levels progressively exceed that of Dst; their 5, 10, 50, and 100 year return levels exceed that of Dst by about 10%, 12%, 20% and 25% respectively. Our results indicate that consideration should be given to the differences between the indices if selecting one to use as a bench mark in model validation or resilience planning for the wide range of space weather sensitive systems that underpin our society.https://doi.org/10.1029/2022SW003304space weathermagnetic stormsextreme eventsDst indexSuperMAGSMR index
spellingShingle A. Bergin
S. C. Chapman
N. W. Watkins
N. R. Moloney
J. W. Gjerloev
Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic Indices
Space Weather
space weather
magnetic storms
extreme events
Dst index
SuperMAG
SMR index
title Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic Indices
title_full Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic Indices
title_fullStr Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic Indices
title_full_unstemmed Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic Indices
title_short Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic Indices
title_sort extreme event statistics in dst sym h and smr geomagnetic indices
topic space weather
magnetic storms
extreme events
Dst index
SuperMAG
SMR index
url https://doi.org/10.1029/2022SW003304
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AT scchapman extremeeventstatisticsindstsymhandsmrgeomagneticindices
AT nwwatkins extremeeventstatisticsindstsymhandsmrgeomagneticindices
AT nrmoloney extremeeventstatisticsindstsymhandsmrgeomagneticindices
AT jwgjerloev extremeeventstatisticsindstsymhandsmrgeomagneticindices