Skip to Main content Skip to Navigation
New interface
Journal articles

Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time

Abstract : Earthquakes are known to generate ionospheric disturbances that are commonly referred to as co-seismic travelling ionospheric disturbances (CTID). In this work, for the first time, we present a novel method that enables to automatically detect CTID in ionospheric GNSS-data, and to determine their spatio-temporal characteristics (velocity and azimuth of propagation) in near-real time (NRT), i.e., less than 15 min after an earthquake. The obtained instantaneous velocities allow us to understand the evolution of CTID and to estimate the location of the CTID source in NRT. Furthermore, also for the first time, we developed a concept of real-time travel-time diagrams that aid to verify the correlation with the source and to estimate additionally the propagation speed of the observed CTID. We apply our methods to the Mw7.4 Sanriku earthquake of 09/03/2011 and the Mw9.0 Tohoku earthquake of 11/03/2011, and we make a NRT analysis of the dynamics of CTID driven by these seismic events. We show that the best results are achieved with high-rate 1 Hz data. While the first tests are made on CTID, our method is also applicable for detection and determining of spatio-temporal characteristics of other travelling ionospheric disturbances that often occur in the ionosphere driven by many geophysical phenomena.
Document type :
Journal articles
Complete list of metadata
Contributor : Nathalie POTHIER Connect in order to contact the contributor
Submitted on : Saturday, February 26, 2022 - 8:29:04 AM
Last modification on : Friday, October 21, 2022 - 3:34:06 PM
Long-term archiving on: : Friday, May 27, 2022 - 6:06:41 PM


Publisher files allowed on an open archive


Distributed under a Creative Commons Attribution 4.0 International License




Boris Maletckii, Elvira Astafyeva. Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time. Scientific Reports, 2021, 11, 12 pp. ⟨10.1038/s41598-021-99906-5⟩. ⟨insu-03589888⟩



Record views


Files downloads