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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Wiley
2023-03-01
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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. |
format | Article |
id | doaj-art-2b41eae8f7cb4606ad2ab0460e0d2a00 |
institution | Kabale University |
issn | 1542-7390 |
language | English |
publishDate | 2023-03-01 |
publisher | Wiley |
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series | Space Weather |
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 |
work_keys_str_mv | AT abergin extremeeventstatisticsindstsymhandsmrgeomagneticindices AT scchapman extremeeventstatisticsindstsymhandsmrgeomagneticindices AT nwwatkins extremeeventstatisticsindstsymhandsmrgeomagneticindices AT nrmoloney extremeeventstatisticsindstsymhandsmrgeomagneticindices AT jwgjerloev extremeeventstatisticsindstsymhandsmrgeomagneticindices |