Non-Gaussian probability distributions of solar wind fluctuations

The probability distributions of field differences &#x2206;<i>x</i>(&#x03C4;)=<i>x</i>(<i>t</i>+&#x03C4;)-<i>x</i>(<i>t</i>), where the variable <i>x</i>(<i>t</i>) may denote any solar wind scalar field...

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Main Authors: E. Marsch, C. Y. Tu
Format: Article
Language:English
Published: Copernicus Publications 1994-12-01
Series:Annales Geophysicae
Online Access:https://www.ann-geophys.net/12/1127/1994/angeo-12-1127-1994.pdf
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spelling doaj-36459cc2bc244a60b2d6dcce224e297f2020-11-25T01:00:50ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05761994-12-01121127113810.1007/s00585-994-1127-8Non-Gaussian probability distributions of solar wind fluctuationsE. MarschC. Y. TuThe probability distributions of field differences &#x2206;<i>x</i>(&#x03C4;)=<i>x</i>(<i>t</i>+&#x03C4;)-<i>x</i>(<i>t</i>), where the variable <i>x</i>(<i>t</i>) may denote any solar wind scalar field or vector field component at time <i>t</i>, have been calculated from time series of Helios data obtained in 1976 at heliocentric distances near 0.3 AU. It is found that for comparatively long time lag &#x03C4;, ranging from a few hours to 1 day, the differences are normally distributed according to a Gaussian. For shorter time lags, of less than ten minutes, significant changes in shape are observed. The distributions are often spikier and narrower than the equivalent Gaussian distribution with the same standard deviation, and they are enhanced for large, reduced for intermediate and enhanced for very small values of &#x2206;<i>x</i>. This result is in accordance with fluid observations and numerical simulations. Hence statistical properties are dominated at small scale &#x03C4; by large fluctuation amplitudes that are sparsely distributed, which is direct evidence for spatial intermittency of the fluctuations. This is in agreement with results from earlier analyses of the structure functions of &#x2206;<i>x</i>. The non-Gaussian features are differently developed for the various types of fluctuations. The relevance of these observations to the interpretation and understanding of the nature of solar wind magnetohydrodynamic (MHD) turbulence is pointed out, and contact is made with existing theoretical concepts of intermittency in fluid turbulence.https://www.ann-geophys.net/12/1127/1994/angeo-12-1127-1994.pdf
collection DOAJ
language English
format Article
sources DOAJ
author E. Marsch
C. Y. Tu
spellingShingle E. Marsch
C. Y. Tu
Non-Gaussian probability distributions of solar wind fluctuations
Annales Geophysicae
author_facet E. Marsch
C. Y. Tu
author_sort E. Marsch
title Non-Gaussian probability distributions of solar wind fluctuations
title_short Non-Gaussian probability distributions of solar wind fluctuations
title_full Non-Gaussian probability distributions of solar wind fluctuations
title_fullStr Non-Gaussian probability distributions of solar wind fluctuations
title_full_unstemmed Non-Gaussian probability distributions of solar wind fluctuations
title_sort non-gaussian probability distributions of solar wind fluctuations
publisher Copernicus Publications
series Annales Geophysicae
issn 0992-7689
1432-0576
publishDate 1994-12-01
description The probability distributions of field differences &#x2206;<i>x</i>(&#x03C4;)=<i>x</i>(<i>t</i>+&#x03C4;)-<i>x</i>(<i>t</i>), where the variable <i>x</i>(<i>t</i>) may denote any solar wind scalar field or vector field component at time <i>t</i>, have been calculated from time series of Helios data obtained in 1976 at heliocentric distances near 0.3 AU. It is found that for comparatively long time lag &#x03C4;, ranging from a few hours to 1 day, the differences are normally distributed according to a Gaussian. For shorter time lags, of less than ten minutes, significant changes in shape are observed. The distributions are often spikier and narrower than the equivalent Gaussian distribution with the same standard deviation, and they are enhanced for large, reduced for intermediate and enhanced for very small values of &#x2206;<i>x</i>. This result is in accordance with fluid observations and numerical simulations. Hence statistical properties are dominated at small scale &#x03C4; by large fluctuation amplitudes that are sparsely distributed, which is direct evidence for spatial intermittency of the fluctuations. This is in agreement with results from earlier analyses of the structure functions of &#x2206;<i>x</i>. The non-Gaussian features are differently developed for the various types of fluctuations. The relevance of these observations to the interpretation and understanding of the nature of solar wind magnetohydrodynamic (MHD) turbulence is pointed out, and contact is made with existing theoretical concepts of intermittency in fluid turbulence.
url https://www.ann-geophys.net/12/1127/1994/angeo-12-1127-1994.pdf
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