Cookies?
Library Header Image
LSE Research Online LSE Library Services

The dependence of solar wind burst size on burst duration and its invariance across solar cycles 23 and 24

Tindale, E., Chapman, S.C., Moloney, N.R. and Watkins, Nicholas W. ORCID: 0000-0003-4484-6588 (2018) The dependence of solar wind burst size on burst duration and its invariance across solar cycles 23 and 24. Journal of Geophysical Research: Space Physics, 123 (9). pp. 7196-7210. ISSN 2169-9380

[img] Text - Published Version
Available under License Creative Commons Attribution.

Download (4MB)
Identification Number: 10.1029/2018JA025740

Abstract

Time series of solar wind variables are bursty in nature. Bursts, or excursions, in the time series of solar wind parameters are associated with various transient structures in the solar wind plasma and are often the drivers of increased space weather activity in Earth's magnetosphere. We define bursts by setting a threshold value of the time series and identifying how often, and for how long, it is exceeded. This allows us to study how the statistical distributions and scaling properties of burst parameters vary over solar cycles 23 and 24. We find that the distributions of burst duration and integrated burst size vary over the solar cycle and between the equivalent phases of consecutive cycles. However, there exists a single power law scaling relation between burst size and duration, with a joint area‐duration scaling exponent α that is independent of the solar cycle. This provides a solar cycle invariant constraint between possible sizes and durations of solar wind bursts that can occur.

Item Type: Article
Official URL: https://agupubs.onlinelibrary.wiley.com/journal/21...
Additional Information: © 2018 John Wiley & Sons
Divisions: Centre for Analysis of Time Series
Subjects: Q Science > QC Physics
Date Deposited: 15 Oct 2018 14:22
Last Modified: 10 Mar 2024 03:51
URI: http://eprints.lse.ac.uk/id/eprint/90428

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics