| Issue |
J. Space Weather Space Clim.
Volume 10, 2020
Topical Issue - Scientific Advances from the European Commission H2020 projects on Space Weather
|
|
|---|---|---|
| Article Number | 2 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/swsc/2019042 | |
| Published online | 20 January 2020 | |
Research Article
A method for real-time identification and tracking of traveling ionospheric disturbances using ionosonde data: first results
1
Observatori de l’Ebre (OE), CSIC – Universitat Ramon Llull, 43520 Roquetes, Spain
2
gAGE, Universitat Politecnica de Catalunya, 08034 Barcelona, Spain
3
Institute for Scientific Research, Boston College, 02467 Chestnut Hill, MA, USA
4
Institute for Atmospheric Physics, Academy of Sciences of the Czech Republic, 117 20 Staré Město, Czech Republic
5
Borealis Designs Ltd., 1000 Sofia, Bulgaria
6
Lowell Digisonde International, 01854 Lowell, MA, USA
7
National Observatory of Athens, IAASARS, GR-15 236 Penteli, Greece
* Corresponding author: daltadill@obsebre.es
Received:
17
September
2019
Accepted:
17
December
2019
Traveling Ionospheric Disturbances (TIDs) are wave-like propagating irregularities that alter the electron density environment and play an important role spreading radio signals propagating through the ionosphere. A method combining spectral analysis and cross-correlation is applied to time series of ionospheric characteristics (i.e., MUF(3000)F2 or foF2) using data of the networks of ionosondes in Europe and South Africa to estimate the period, amplitude, velocity and direction of propagation of TIDs. The method is verified using synthetic data and is validated through comparison of TID detection results made with independent observational techniques. The method provides near real time capability of detection and tracking of Large-Scale TIDs (LSTIDs), usually associated with auroral activity.
Key words: Travelling Ionospheric Disturbances (TIDs) / real-time specification and tracking of Large Scale TIDs (LSTIDs) / ionosphere / auroral activity
© D. Altadill et al., Published by EDP Sciences 2020
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.
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