Comparison between IRI-2012, IRI-2016 models and F2 peak parameters in two stations of the EIA in Vietnam during different solar activity periods

Thu, H. Pham Thi; Mazaudier, Christine; Thanh, Dung Nguyen; Viet, H. Luu; Thi, Ngoc Luong; Hozumi, Kornyanat; Truong, Thanh Le

doi:10.1016/j.asr.2020.07.017

Cited by 3 publications

(1 citation statement)

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“…Among these, the F2 layer exhibits the highest electron density, making it the most significant [8] and stable [9] region in the ionosphere. The height of the peak electron density in the ionospheric F2 layer (hmF2) is one of the critical parameters for predicting the HF communication link [10,11], which represents the distance from the point with the highest electron density in the ionosphere to the ground [12]. The prediction of hmF2 is helpful for the design [13,14] and operation of high-frequency propagation systems [15].…”

Section: Introductionmentioning

confidence: 99%

A New Determining Method for Ionospheric F2-Region Peak Electron Density Height

Wang,

Yu,

Shi

et al. 2024

Remote Sensing

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The height of the F2 peak electron density (hmF2) is an essential parameter in studying ionospheric electrodynamics and high-frequency wireless communication. Based on ionosphere ray propagation theory, the physical relationship between M3000F2 and hmF2 is derived and visualized. Furthermore, based on the above physical theory and the machine learning method, this paper proposes a new model for determining hmF2 using propagation factor at a distance of 3000 km from the ionospheric F2 layer, time, and season. This proposed model is easy to understand and has the characteristics of clear principles, simple structure, and easy application. Furthermore, we used six stations in east Asia to verify this model and compare it with the other three models of the International Reference Ionosphere (IRI) model. The results show that the proposed model (PRO) has minor error and higher accuracy. Specifically the RMSE of the BSE, AMTB, SHU, and the PRO models were 20.35 km, 31.51 km, 13.59 km, and 5.68 km, respectively, and the RRMSE of the BSE, AMTB, SHU, and PRO models were 8.17%, 11.88%, 4.96%, and 2.12%, respectively. In addition, the experimental results show that the PRO model can better predict the trend of the hmF2 inflection point. This method can be further extended to add data sources and provide new ideas for studying the hmF2 over global regions.

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