Looking for a proxy of the ionospheric turbulence with Swarm data

Abstract The present work focuses on the analysis of the scaling features of electron density fluctuations in the mid- and high-latitude topside ionosphere under different conditions of geomagnetic activity. The aim is to understand whether it is possible to identify a proxy that may provide informa...

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Autores principales:	Paola De Michelis, Giuseppe Consolini, Alessio Pignalberi, Roberta Tozzi, Igino Coco, Fabio Giannattasio, Michael Pezzopane, Georgios Balasis
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fbe55ddc5967445cbfbfa0ff23786b57
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spelling	oai:doaj.org-article:fbe55ddc5967445cbfbfa0ff23786b572021-12-02T16:31:17ZLooking for a proxy of the ionospheric turbulence with Swarm data10.1038/s41598-021-84985-12045-2322https://doaj.org/article/fbe55ddc5967445cbfbfa0ff23786b572021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84985-1https://doaj.org/toc/2045-2322Abstract The present work focuses on the analysis of the scaling features of electron density fluctuations in the mid- and high-latitude topside ionosphere under different conditions of geomagnetic activity. The aim is to understand whether it is possible to identify a proxy that may provide information on the properties of electron density fluctuations and on the possible physical mechanisms at their origin, as for instance, turbulence phenomena. So, we selected about 4 years (April 2014–February 2018) of 1 Hz electron density measurements recorded on-board ESA Swarm A satellite. Using the Auroral Electrojet (AE) index, we identified two different geomagnetic conditions: quiet (AE < 50 nT) and active (AE > 300 nT). For both datasets, we evaluated the first- and second-order scaling exponents and an intermittency coefficient associated with the electron density fluctuations. Then, the joint probability distribution between each of these quantities and the rate of change of electron density index was also evaluated. We identified two families of plasma density fluctuations characterized by different mean values of both the scaling exponents and the considered ionospheric index, suggesting that different mechanisms (instabilities/turbulent processes) can be responsible for the observed scaling features. Furthermore, a clear different localization of the two families in the magnetic latitude—magnetic local time plane is found and its dependence on geomagnetic activity levels is analyzed. These results may well have a bearing about the capability of recognizing the turbulent character of irregularities using a typical ionospheric plasma irregularity index as a proxy.Paola De MichelisGiuseppe ConsoliniAlessio PignalberiRoberta TozziIgino CocoFabio GiannattasioMichael PezzopaneGeorgios BalasisNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Paola De Michelis Giuseppe Consolini Alessio Pignalberi Roberta Tozzi Igino Coco Fabio Giannattasio Michael Pezzopane Georgios Balasis Looking for a proxy of the ionospheric turbulence with Swarm data
description	Abstract The present work focuses on the analysis of the scaling features of electron density fluctuations in the mid- and high-latitude topside ionosphere under different conditions of geomagnetic activity. The aim is to understand whether it is possible to identify a proxy that may provide information on the properties of electron density fluctuations and on the possible physical mechanisms at their origin, as for instance, turbulence phenomena. So, we selected about 4 years (April 2014–February 2018) of 1 Hz electron density measurements recorded on-board ESA Swarm A satellite. Using the Auroral Electrojet (AE) index, we identified two different geomagnetic conditions: quiet (AE < 50 nT) and active (AE > 300 nT). For both datasets, we evaluated the first- and second-order scaling exponents and an intermittency coefficient associated with the electron density fluctuations. Then, the joint probability distribution between each of these quantities and the rate of change of electron density index was also evaluated. We identified two families of plasma density fluctuations characterized by different mean values of both the scaling exponents and the considered ionospheric index, suggesting that different mechanisms (instabilities/turbulent processes) can be responsible for the observed scaling features. Furthermore, a clear different localization of the two families in the magnetic latitude—magnetic local time plane is found and its dependence on geomagnetic activity levels is analyzed. These results may well have a bearing about the capability of recognizing the turbulent character of irregularities using a typical ionospheric plasma irregularity index as a proxy.
format	article
author	Paola De Michelis Giuseppe Consolini Alessio Pignalberi Roberta Tozzi Igino Coco Fabio Giannattasio Michael Pezzopane Georgios Balasis
author_facet	Paola De Michelis Giuseppe Consolini Alessio Pignalberi Roberta Tozzi Igino Coco Fabio Giannattasio Michael Pezzopane Georgios Balasis
author_sort	Paola De Michelis
title	Looking for a proxy of the ionospheric turbulence with Swarm data
title_short	Looking for a proxy of the ionospheric turbulence with Swarm data
title_full	Looking for a proxy of the ionospheric turbulence with Swarm data
title_fullStr	Looking for a proxy of the ionospheric turbulence with Swarm data
title_full_unstemmed	Looking for a proxy of the ionospheric turbulence with Swarm data
title_sort	looking for a proxy of the ionospheric turbulence with swarm data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fbe55ddc5967445cbfbfa0ff23786b57
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Looking for a proxy of the ionospheric turbulence with Swarm data

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