Cookies?
Library Header Image
LSE Research Online LSE Library Services

Variation of geomagnetic index empirical distribution and burst statistics across successive solar cycles

Bergin, A., Chapman, S. C., Moloney, N. R. ORCID: 0009-0000-6035-8053 and Watkins, N. W. ORCID: 0000-0003-4484-6588 (2022) Variation of geomagnetic index empirical distribution and burst statistics across successive solar cycles. Journal of Geophysical Research: Space Physics, 127 (1). ISSN 2169-9380

[img] Text (JGR Space Physics - 2022 - Bergin - Variation of Geomagnetic Index Empirical Distribution and Burst Statistics Across) - Published Version
Available under License Creative Commons Attribution.

Download (2MB)

Identification Number: 10.1029/2021JA029986

Abstract

The overall level of solar activity, and space weather response at Earth, varies within and between successive solar cycles and can be characterized by the statistics of bursts, i.e., time series excursions above a threshold. We consider nonoverlapping 1-year samples of the auroral electrojet index (AE) and the SuperMAG-based ring current index (SMR), across the last four solar cycles. These indices, respectively, characterize high latitude and equatorial geomagnetic disturbances. We suggest that average burst duration (Formula presented.) and burst return period (Formula presented.) form an activity parameter, (Formula presented.) which characterizes the fraction of time the magnetosphere spends, on average, in an active state for a given burst threshold. If the burst threshold takes a fixed value, (Formula presented.) for SMR tracks sunspot number, while (Formula presented.) for AE peaks in the solar cycle declining phase. Level crossing theory directly relates (Formula presented.) to the observed index value cumulative distribution function (cdf). For burst thresholds at fixed quantiles, we find that the probability density functions of τ and R each collapse onto single empirical curves for AE at solar cycle minimum, maximum, and declining phase and for (−)SMR at solar maximum. Moreover, underlying empirical cdf tails of observed index values collapse onto common functional forms specific to each index and cycle phase when normalized to their first two moments. Together, these results offer operational support to quantifying space weather risk which requires understanding how return periods of events of a given size vary with solar cycle strength.

Item Type: Article
Official URL: https://agupubs.onlinelibrary.wiley.com/journal/21...
Additional Information: © 2022 The Authors
Divisions: Grantham Research Institute
Subjects: Q Science > QC Physics
Date Deposited: 25 Feb 2022 14:54
Last Modified: 12 Dec 2024 02:52
URI: http://eprints.lse.ac.uk/id/eprint/113836

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics