A method for real-time identification and tracking of traveling ionospheric disturbances using ionosonde data: first results
A method for real-time identification and tracking of traveling ionospheric disturbances using ionosonde data: first results
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DOI：
10.1051/swsc/2019042
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发表时间：
2020-01
影响因子：
3.3
通讯作者：
D. Altadill;A. Segarra;E. Blanch;J. Juan;V. Paznukhov;D. Burešová;I. Galkin;B. Reinisch;A. Belehaki
中科院分区：
文献类型：
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作者：
D. Altadill;A. Segarra;E. Blanch;J. Juan;V. Paznukhov;D. Burešová;I. Galkin;B. Reinisch;A. Belehaki
行进电离层扰动 (TID) 是波状传播的不规则现象，它会改变电子密度环境，并在通过电离层传播无线电信号方面发挥重要作用。利用欧洲和南非电离探空仪网络的数据，将频谱分析和互相关相结合的方法应用于电离层特征时间序列（即MUF（3000）F2或foF2），以估计TID的周期、幅度、速度和传播方向。该方法使用合成数据进行验证，并通过独立观测技术的 TID 检测结果的比较进行验证。该方法提供了近乎实时的大规模 TID（LSTID）检测和跟踪能力，通常与极光活动相关。
Traveling Ionospheric Disturbances (TIDs) are wave-like propagating irregularities that alter the electron density environment and play an important role spreading radio signals propagating through the ionosphere. A method combining spectral analysis and cross-correlation is applied to time series of ionospheric characteristics (i.e., MUF(3000)F2 or foF2) using data of the networks of ionosondes in Europe and South Africa to estimate the period, amplitude, velocity and direction of propagation of TIDs. The method is verified using synthetic data and is validated through comparison of TID detection results made with independent observational techniques. The method provides near real time capability of detection and tracking of Large-Scale TIDs (LSTIDs), usually associated with auroral activity.