Measurements and Modeling of the Responses of VLF Transmitter Signals to X‐Class Solar Flares at the Great Wall Station in Antarctica

Author:

Xu Wei12ORCID,Gu Xudong12ORCID,Ni Binbin12ORCID,Wang Shiwei1,Yang Zhe3ORCID,Cheng Wen1,Hu Ze‐Jun4ORCID,He Fang4ORCID,Li Bin4ORCID,Chen Xiang‐Cai4ORCID,Liu Jian‐Jun4ORCID,Hu Hong‐Qiao4

Affiliation:

1. School of Electronic Information Wuhan University Wuhan China

2. Hubei Luojia Laboratory Wuhan China

3. College of Surveying and Geo‐Informatics Tongji University Shanghai China

4. MNR Key Laboratory for Polar Science Polar Research Institute of China Shanghai China

Abstract

AbstractSolar flares can severely disturb the Earth's ionosphere, leading to changes of atmospheric chemistry and degradation of Global Navigation Satellite System (GNSS) signals. The key to better assess these effects is to more accurately quantify the electron density enhancements induced by solar flares, which is still uncertain. Thanks to the good coverage and quiet electromagnetic environment provided by the Great Wall Station (GWS, 62.22°S, 58.96°W) in Antarctica, our Very‐Low‐Frequency (VLF) receiver has recorded clean VLF signatures produced by three X‐class solar flares from March to May in 2022. These measurements motivate us to revisit the uncertain question related to the ionospheric effects induced by solar flares. Different from previous studies, we model solar flare events from satellite measurements of X‐ray fluxes to ground‐based measurements of VLF transmitter signals by combining a flare irradiance model, an X‐ray propagation model, a D‐region chemistry model, and a VLF propagation model. For eight transmitting frequencies and propagation paths, modeling results can satisfactorily explain our VLF measurements at GWS during the three X‐class flares, especially so for the X1.3 event occurring on 30 March 2022. Moreover, the electron density results that reconcile space‐ and ground‐based measurements suggest that the VLF reflection height can be lowered to ∼66 km by an X1.1 flare, in line with previous studies. The present set of numerical models can be thus utilized in future studies to improve the nowcasting capability of VLF sensing technique for monitoring solar flares, as well as the accuracy of GNSS navigation/positioning during solar flares.

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

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