Comparison of low-latitude ionospheric scintillation forecasting techniques using a physics-based model

Research output: Contribution to journalArticlepeer-review

Authors

Colleges, School and Institutes

External organisations

  • Spire Global UK

Abstract

The temporal change in height of a specific electron density can be used as a proxy for vertical plasma drift (PVPD) at the magnetic equator. The use of PVPDs as a predictor of low-latitude ionospheric scintillation during the subsequent evening has previously been shown to have forecasting skill when using ionosonde data. The implementation of this approach using a physics-based model is proposed to provide greater forecast antecedence without the need for local ionosondes. For the first time, the physics-based model PVPD method is compared to another forecasting approach that uses a physics-based model to calculate Rayleigh-Taylor growth rates (RTGRs). In equinoctial test cases considered, when appropriate scintillation observation thresholds are selected, PVPD forecasting is shown to have skill similar to or better than the RTGR method using the same physics-based model. PVPD forecasting requires only electron densities and corresponding altitudes. Therefore, this approach could be applied using an ionospheric data assimilation model whereas the majority of these models do not provide output for all variables required for RTGR forecasting. The forecasting skill in these test cases, the simplicity of physics-based PVPD forecasting, and the suitability of this method for use of ionospheric data assimilation model output make this method attractive as a forecasting tool in an operational setting if skill can be further demonstrated for a wide range of conditions. However, both PVPD and RTGR forecasting skill are shown to be limited during solstitial months with high scintillation activity. This may be improved by using a data assimilation model.

Details

Original languageEnglish
Article numbere2020SW002462
JournalSpace Weather
Volume19
Issue number7
Early online date25 Jun 2021
Publication statusPublished - Jul 2021

Keywords

  • Atmospheric Science