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A statistical study of EMIC waves observed by Cluster: 1. Wave properties
Univ New Hampshire, Ctr Space Sci, Durham, NH 03824 USA..
Univ New Hampshire, Ctr Space Sci, Durham, NH 03824 USA..
Univ New Hampshire, Ctr Space Sci, Durham, NH 03824 USA..
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2015 (English)In: Journal of Geophysical Research - Space Physics, ISSN 2169-9380, E-ISSN 2169-9402, Vol. 120, no 7, 5574-5592 p.Article in journal (Refereed) Published
Abstract [en]

Electromagnetic ion cyclotron (EMIC) waves are an important mechanism for particle energization and losses inside the magnetosphere. In order to better understand the effects of these waves on particle dynamics, detailed information about the occurrence rate, wave power, ellipticity, normal angle, energy propagation angle distributions, and local plasma parameters are required. Previous statistical studies have used in situ observations to investigate the distribution of these parameters in the magnetic local time versus L-shell (MLT-L) frame within a limited magnetic latitude (MLAT) range. In this study, we present a statistical analysis of EMIC wave properties using 10years (2001-2010) of data from Cluster, totaling 25,431min of wave activity. Due to the polar orbit of Cluster, we are able to investigate EMIC waves at all MLATs and MLTs. This allows us to further investigate the MLAT dependence of various wave properties inside different MLT sectors and further explore the effects of Shabansky orbits on EMIC wave generation and propagation. The statistical analysis is presented in two papers. This paper focuses on the wave occurrence distribution as well as the distribution of wave properties. The companion paper focuses on local plasma parameters during wave observations as well as wave generation proxies.

Place, publisher, year, edition, pages
2015. Vol. 120, no 7, 5574-5592 p.
Keyword [en]
magnetosphere, EMIC waves, Cluster, Shabansky orbits
National Category
Fusion, Plasma and Space Physics
Identifiers
URN: urn:nbn:se:uu:diva-263042DOI: 10.1002/2015JA021333ISI: 000360381400024OAI: oai:DiVA.org:uu-263042DiVA: diva2:857347
Available from: 2015-09-28 Created: 2015-09-24 Last updated: 2017-12-01Bibliographically approved

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André, Mats

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