Issue |
J. Space Weather Space Clim.
Volume 11, 2021
|
|
---|---|---|
Article Number | 6 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/swsc/2020075 | |
Published online | 22 January 2021 |
Research Article
Visualizing sporadic E using aeronautical navigation signals at VHF frequencies
1
Department of Communication Engineering and Informatics, University of Electro-Communications, Chofugaoka 1-5-1, Chofu, 182-8585 Tokyo, Japan
2
Electronic Navigation Research Institute, National Institute of Maritime, Port and Aviation Technology, Jindaiji-Higashicho 7-42-23, Chofu, 182-0012 Tokyo, Japan
3
Center for Space Science and Radio Engineering, University of Electro-Communications, Chofugaoka 1-5-1, Chofu, 182-8585 Tokyo, Japan
4
National Institute of Information and Communications Technology, Nukui-Kitamachi 4-2-1, Koganei, 184-8795 Tokyo, Japan
* Corresponding author: keisuke.hosokawa@uec.ac.jp
Received:
31
July
2020
Accepted:
6
December
2020
To understand the dynamical properties of sporadic E layer (Es), we have developed a method to visualize the two-dimensional spatial structure of Es by monitoring the occurrence of anomalous propagation of VHF waves used for aeronautical navigation systems in combination with the electron density disturbance index ROTI, that is the Rate of total electron content (TEC) Index obtained from ground-based GPS receivers. We introduce a case of strong Es layer which occurred for ~4 h during daytime of July 4, 2019. In this interval, we succeeded in imaging the structure of Es elongating more in the east–west direction and moving northward gradually. This result indicates that the combination of network observations of aeronautical navigation signals and ROTI is capable of imaging the 2D structure of Es in a wide area including the sea surface, which enables us to discuss the dynamical characteristics and generation mechanism of Es.
Key words: mid-latitude ionosphere / sporadic E / VHF radio observations / GPS-TEC measurements
© K. Hosokawa et al., Published by EDP Sciences 2021
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.
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.