Home > Research > Publications & Outputs > Extreme Value Analysis of Ground Magnetometer O...

Associated organisational unit

Links

Text available via DOI:

View graph of relations

Extreme Value Analysis of Ground Magnetometer Observations at Valentia Observatory, Ireland

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Extreme Value Analysis of Ground Magnetometer Observations at Valentia Observatory, Ireland. / Fogg, Alexandra Ruth; Jackman, C. M.; Malone‐Leigh, J. et al.
In: Space Weather, Vol. 21, No. 7, e2023SW003565, 31.07.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Fogg, AR, Jackman, CM, Malone‐Leigh, J, Gallagher, PT, Smith, AW, Lester, M, Walach, MT & Waters, JE 2023, 'Extreme Value Analysis of Ground Magnetometer Observations at Valentia Observatory, Ireland', Space Weather, vol. 21, no. 7, e2023SW003565. https://doi.org/10.1029/2023SW003565

APA

Fogg, A. R., Jackman, C. M., Malone‐Leigh, J., Gallagher, P. T., Smith, A. W., Lester, M., Walach, M. T., & Waters, J. E. (2023). Extreme Value Analysis of Ground Magnetometer Observations at Valentia Observatory, Ireland. Space Weather, 21(7), Article e2023SW003565. https://doi.org/10.1029/2023SW003565

Vancouver

Fogg AR, Jackman CM, Malone‐Leigh J, Gallagher PT, Smith AW, Lester M et al. Extreme Value Analysis of Ground Magnetometer Observations at Valentia Observatory, Ireland. Space Weather. 2023 Jul 31;21(7):e2023SW003565. Epub 2023 Jul 24. doi: 10.1029/2023SW003565

Author

Fogg, Alexandra Ruth ; Jackman, C. M. ; Malone‐Leigh, J. et al. / Extreme Value Analysis of Ground Magnetometer Observations at Valentia Observatory, Ireland. In: Space Weather. 2023 ; Vol. 21, No. 7.

Bibtex

@article{855858a958344a458b94840c6afb62c2,
title = "Extreme Value Analysis of Ground Magnetometer Observations at Valentia Observatory, Ireland",
abstract = "Understanding global space weather effects is of great importance to the international scientific community, but more localized space weather predictions are important on a national level. In this study, data from a ground magnetometer at Valentia Observatory is used to characterize space weather effects on the island of Ireland. The horizontal component of magnetometer observations and its time derivative are considered, and extreme values of these are identified. These extremes are fit to a generalized extreme value distribution, and from this model return values (the expected magnitude of an observation within a given time window) are predicted. The causes of extreme values are investigated both in a case study, and also statistically by looking at contributions from geomagnetic storms, substorms, and sudden commencements. This work characterizes the extreme part of the distribution of space weather effects on Ireland (and at similar latitudes), and hence examines those space weather observations which are likely to have the greatest impact on susceptible technologies.",
keywords = "ionosphere, extreme value theory, magnetosphere, sudden commencement, substorm, storm",
author = "Fogg, {Alexandra Ruth} and Jackman, {C. M.} and J. Malone‐Leigh and Gallagher, {P. T.} and Smith, {A. W.} and M. Lester and M.‐T. Walach and Waters, {J. E.}",
year = "2023",
month = jul,
day = "31",
doi = "10.1029/2023SW003565",
language = "English",
volume = "21",
journal = "Space Weather",
issn = "1542-7390",
publisher = "John Wiley and Sons Inc.",
number = "7",

}

RIS

TY - JOUR

T1 - Extreme Value Analysis of Ground Magnetometer Observations at Valentia Observatory, Ireland

AU - Fogg, Alexandra Ruth

AU - Jackman, C. M.

AU - Malone‐Leigh, J.

AU - Gallagher, P. T.

AU - Smith, A. W.

AU - Lester, M.

AU - Walach, M.‐T.

AU - Waters, J. E.

PY - 2023/7/31

Y1 - 2023/7/31

N2 - Understanding global space weather effects is of great importance to the international scientific community, but more localized space weather predictions are important on a national level. In this study, data from a ground magnetometer at Valentia Observatory is used to characterize space weather effects on the island of Ireland. The horizontal component of magnetometer observations and its time derivative are considered, and extreme values of these are identified. These extremes are fit to a generalized extreme value distribution, and from this model return values (the expected magnitude of an observation within a given time window) are predicted. The causes of extreme values are investigated both in a case study, and also statistically by looking at contributions from geomagnetic storms, substorms, and sudden commencements. This work characterizes the extreme part of the distribution of space weather effects on Ireland (and at similar latitudes), and hence examines those space weather observations which are likely to have the greatest impact on susceptible technologies.

AB - Understanding global space weather effects is of great importance to the international scientific community, but more localized space weather predictions are important on a national level. In this study, data from a ground magnetometer at Valentia Observatory is used to characterize space weather effects on the island of Ireland. The horizontal component of magnetometer observations and its time derivative are considered, and extreme values of these are identified. These extremes are fit to a generalized extreme value distribution, and from this model return values (the expected magnitude of an observation within a given time window) are predicted. The causes of extreme values are investigated both in a case study, and also statistically by looking at contributions from geomagnetic storms, substorms, and sudden commencements. This work characterizes the extreme part of the distribution of space weather effects on Ireland (and at similar latitudes), and hence examines those space weather observations which are likely to have the greatest impact on susceptible technologies.

KW - ionosphere

KW - extreme value theory

KW - magnetosphere

KW - sudden commencement

KW - substorm

KW - storm

U2 - 10.1029/2023SW003565

DO - 10.1029/2023SW003565

M3 - Journal article

VL - 21

JO - Space Weather

JF - Space Weather

SN - 1542-7390

IS - 7

M1 - e2023SW003565

ER -