Cargando…

Looking for a proxy of the ionospheric turbulence with Swarm data

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 t...

Descripción completa

Detalles Bibliográficos
Autores principales: De Michelis, Paola, Consolini, Giuseppe, Pignalberi, Alessio, Tozzi, Roberta, Coco, Igino, Giannattasio, Fabio, Pezzopane, Michael, Balasis, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971084/
https://www.ncbi.nlm.nih.gov/pubmed/33731772
http://dx.doi.org/10.1038/s41598-021-84985-1
_version_ 1783666550390128640
author De Michelis, Paola
Consolini, Giuseppe
Pignalberi, Alessio
Tozzi, Roberta
Coco, Igino
Giannattasio, Fabio
Pezzopane, Michael
Balasis, Georgios
author_facet De Michelis, Paola
Consolini, Giuseppe
Pignalberi, Alessio
Tozzi, Roberta
Coco, Igino
Giannattasio, Fabio
Pezzopane, Michael
Balasis, Georgios
author_sort De Michelis, Paola
collection PubMed
description 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 Online
Article
Text
id pubmed-7971084
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-79710842021-03-19 Looking for a proxy of the ionospheric turbulence with Swarm data De Michelis, Paola Consolini, Giuseppe Pignalberi, Alessio Tozzi, Roberta Coco, Igino Giannattasio, Fabio Pezzopane, Michael Balasis, Georgios Sci Rep Article 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. Nature Publishing Group UK 2021-03-17 /pmc/articles/PMC7971084/ /pubmed/33731772 http://dx.doi.org/10.1038/s41598-021-84985-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
De Michelis, Paola
Consolini, Giuseppe
Pignalberi, Alessio
Tozzi, Roberta
Coco, Igino
Giannattasio, Fabio
Pezzopane, Michael
Balasis, Georgios
Looking for a proxy of the ionospheric turbulence with Swarm data
title 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_short Looking for a proxy of the ionospheric turbulence with Swarm data
title_sort looking for a proxy of the ionospheric turbulence with swarm data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971084/
https://www.ncbi.nlm.nih.gov/pubmed/33731772
http://dx.doi.org/10.1038/s41598-021-84985-1
work_keys_str_mv AT demichelispaola lookingforaproxyoftheionosphericturbulencewithswarmdata
AT consolinigiuseppe lookingforaproxyoftheionosphericturbulencewithswarmdata
AT pignalberialessio lookingforaproxyoftheionosphericturbulencewithswarmdata
AT tozziroberta lookingforaproxyoftheionosphericturbulencewithswarmdata
AT cocoigino lookingforaproxyoftheionosphericturbulencewithswarmdata
AT giannattasiofabio lookingforaproxyoftheionosphericturbulencewithswarmdata
AT pezzopanemichael lookingforaproxyoftheionosphericturbulencewithswarmdata
AT balasisgeorgios lookingforaproxyoftheionosphericturbulencewithswarmdata