Issue |
J. Space Weather Space Clim.
Volume 14, 2024
Topical Issue - Observing, modelling and forecasting TIDs and mitigating their impact on technology
|
|
---|---|---|
Article Number | 17 | |
Number of page(s) | 15 | |
DOI | https://doi.org/10.1051/swsc/2024017 | |
Published online | 01 August 2024 |
Research Article
Travelling ionospheric disturbances detection: A statistical study of detrending techniques, induced period error and near real-time observables
1
Sapienza Università di Roma, Rome, Italy
2
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
3
SpaceEarth Technology, Rome, Italy
* Corresponding author: marco.guerra@ingv.it
Received:
6
November
2023
Accepted:
21
May
2024
Due to advances in remote sensing of the Earth’s Ionosphere through Total Electron Content (TEC) estimates by Global Navigation Satellite System (GNSS) receivers, it is possible to detect and characterize Travelling Ionospheric Disturbances (TIDs) in both post-processing and, to some extent, in near real-time (NRT). A reliable and precise TEC filtering technique must be adopted to characterize waves accurately. Specifically, TEC detrending is widely adopted to extract the amplitude and period of the detected ionospheric waves from the background ionospheric conditions. Therefore, this study aims to understand and compare how different TEC detrending techniques and their settings impact the ability to extract such parameters. We highlight that the novel Fast Iterative Filtering (FIF) and the Savitzky-Golay filter (SGOLAY) techniques are the most reliable overall compared with moving average (MA), multi-order numerical difference (DD), polynomial detrending (POLY) and Finite Impulse response (FIR) band-pass filter (BUTF). Moreover, the impact of general algorithm settings on the exracted TID period is investigated, such as the Ionospheric Piercing Point (IPP) height and elevation cut-off angle, showing that such parameters drastically impact the retrieved period, especially for slower TIDs. Finally, due to the growing interest in real-time (RT) detection and classification of TIDs, the study proposes techniques for accurately estimating the TID amplitude in an NRT scenario. Such NRT techniques are then compared with the widely used post-processing products, such as the calibrated vertical TEC (vTEC), showing a difference that is mostly lower than the typical noise level of GNSS receivers (0.05 TECu).
Key words: Travelling ionospheric disturbances / Total electron content / Detrending techniques
© M. Guerra et al., Published by EDP Sciences 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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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