Abstract

Ionosphere layer is the atmosphere region which reflects radio waves for telecommunication. The density in particles in this layer influences the quality of communication. This study deals with the effects of Total Electron Contents (TEC) on the critical frequency of radio waves in the F2-layer. Total Electron Contents parameter symbolizes electron bulk surface density in ionosphere layer. Above critical frequency value in F2 layer (foF2), radio waves pass through ionosphere. The knowledge of this value enables to calibrate transmission frequencies. In this study, we consider TEC effects on foF2 under quiet time conditions during the maximum and the minimum of solar cycle 22, at Ouagadougou station, in West Africa. The study also considers the effects of seasons and the hourly variability of TEC and foF2. This work shows winter anomaly on foF2 and TEC on minimum and maximum of solar cycle phase respectively. Running International Reference Ionosphere (IRI) model enables to carry out the effects of TEC on foF2 by use of their monthly average values. This leads to a new approach to calibrate radio transmitters.

Highlights

  • Many models have been developed to investigate ionosphere layer [1]-[13]

  • This study deals with the effects of Total Electron Contents (TEC) on the critical frequency of radio waves in the F2-layer

  • This study shows winter anomaly on TEC profiles during solar maximum and minimum

Read more

Summary

Introduction

Many models have been developed to investigate ionosphere layer [1]-[13]. The goal of each model is to get the best approach of the ionosphere and carry out the different parameters of this layer. Critical frequency in the F2-layer (foF2) at Ouagadougou station, characterized by 12.4 ̊N and 358.5 ̊E. The model uses data sources and provides different parameters of the ionosphere for a given location. The 2012-version of the model is used in this work to get TEC and foF2 parameters. TEC and foF2 profiles are obtained at different seasons, using the given values of the parameters by running IRI model

Study Assumptions
Results and Discussion
Conclusion
Nanéma et al DOI
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call