- School of Earth and Space Science and Technology, Wuhan University, Wuhan, China (mawenchen@whu.edu.cn)
The electron density of the D-region ionosphere (60–100 km) plays a critical role in radio communications, navigation systems, and space environment monitoring. Despite its importance, this region remains difficult to observe. Traditional ground-based Very Low Frequency (VLF) monitoring typically relies on single propagation path measurements, yielding only path-averaged information. In this study, we image the D-region ionosphere using VLF network observations and a particle filter.
To address the non-linear and ill-posed problems inherent in D-region ionosphere inversion, we applied a particle filter algorithm to the reconstruction process. The numerical experiments demonstrate the efficacy of the particle filtering approach in D-region ionosphere imaging. Furthermore, we used this method to image the evolution of the D-region ionosphere during a solar eclipse and a solar flare. The results demonstrate the significant promise of the method for remote sensing the D-region ionosphere using VLF network observations, offering a new capability for monitoring the impacts of space weather events on the lower ionosphere.
How to cite: Ma, W., Xu, W., Gu, X., Wang, S., Ni, B., Cheng, W., Feng, J., Xu, H., Pan, Y., and Shi, H.: Imaging the D-Region Ionosphere Using VLF Network Observations and a Particle Filter, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22589, https://doi.org/10.5194/egusphere-egu26-22589, 2026.