J. Space Weather Space Clim.
Volume 7, 2017
|Number of page(s)||12|
|Published online||12 January 2017|
Climatology characterization of equatorial plasma bubbles using GPS data
ESSP SAS, Torrejón de Ardoz, 28850, Spain
2 Department of Physics of the Earth, Astronomy and Astrophysics I, University Complutense, 28040 Madrid, Spain
3 Institute of Geosciences, UCM – CSIC, 28040 Madrid, Spain
4 Ebro Observatory (OE), CSIC – Universitat Ramon Llull, 43520 Roquetes, Spain
5 Atmospheric Sounding Station El Arenosillo, INTA, 21130 Huelva, Spain
* Corresponding author: email@example.com
Accepted: 19 November 2016
The climatology of equatorial plasma bubbles (EPBs) for the period 1998–2008 was studied using slant total electron content (sTEC) derived from global positioning system (GPS) data. The sTEC values were calculated from data measured at 67 International GNSS Service (IGS) stations distributed worldwide around the geomagnetic equator and embracing the region of the ionospheric equatorial anomaly (IEA). EPBs and their characteristics were obtained using the Ionospheric Bubble Seeker (IBS) application, which detects and distinguishes sTEC depletions associated with EPBs. This technique bases its analysis on the time variation of the sTEC and on the population variance of this time variation. IBS finds an EPB by default when an sTEC depletion is greater than 5 TEC units (TECu). The analysis of the spatial behavior shows that the largest rate of EPB takes place at the equator and in the South America-Africa sector, while their occurrence decreases as the distance from the magnetic equator increases. The depth and duration of the sTEC depletions also maximize at the equator and in the South America-Africa sector and weaken departing from the equator. The results of the temporal analysis for the data of the IGS stations located in AREQ, NKLG, IISC, and GUAM indicate that the greatest rate of EPB occurrence is observed for high solar activity.
Key words: Ionosphere (equatorial) / Total electron content / Aeronomy / Plasma physics / Remote sensing
© S. Magdaleno et al., Published by EDP Sciences 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.