Regional Ionospheric Frequency Domain Characterization and Short-term Forecasting Methods

Author:

Kang Lihua,Wang Shuai,Cong Dianwei,Yin Yunxia,Li Lifeng

Abstract

Abstract Total electron content (TEC) is an important characteristic parameter of the ionosphere, which has a great impact on applications such as navigation error correction. The paper addresses the need for short- and medium-term forecasting of regional ionospheric TEC. Firstly, we analyze the frequency domain characteristics of ionospheric TEC, and analyze the data in the frequency domain based on the characteristics of trend, periodicity and abruptness of ionospheric TEC changes influenced by solar activity, combined with the Prophet algorithm. Then, according to its frequency domain characteristics, Prophet is used to achieve hour-by-hour prediction. The computer modeling results show that the RMSE of the 7-day forecast is better than 1.262 TECU during the geomagnetically quiet period, and the method is suitable for the short- and medium-term forecasting of ionospheric TEC with good forecast accuracy and time efficiency.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference14 articles.

1. Analysis of spatial and temporal characteristics of the ionosphere in Guangxi and surrounding areas;Liao;Mapping Science,2018

2. Deep learning LSTM model for ionospheric total electron content prediction;Ji;Journal of Navigation and Positioning,2019

3. The international reference ionosphere model: A review and description of an ionospheric benchmark;Bilitza;Reviews of Geophysics,2022

4. Comparative analysis of BDGIM, NeQuick-G, and Klobuchar ionospheric broadcast models;Tian;Astrophys Space Sci.,2022

5. Application of Prophet time series prediction model in ionospheric TEC anomaly detection;Zhai;Earthquake,2019

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