dc.description.abstract |
The ionosphere is a region of Earth's upper atmosphere. It is fundamental to radio signal
propagation and satellite communications. Ionospheric plasma irregularities can disrupt these
signals, leading to adverse effects on communication and navigation systems. This study aims to
analyze and compare the longitudinal variability of ionospheric irregularities using the global
Rate of TEC Index (ROTI) map obtained in January 1. 2015. Focusing on six longitudinal
sectors—East Africa, Russia, India, Japan, America, and Europe. This thesis investigates the
distribution, extent, and characteristics of these irregularities by examining the East African
sector and comparing it with other regions, we aim to uncover patterns and variabilities that can
enhance our understanding of ionospheric behaviors. The findings will contribute to improved
predictive models and mitigation strategies for ionospheric disturbances, ensuring better
reliability for communication and navigation systems.
This thesis also examines the longitudinal variations of ionospheric plasma irregularities,
utilizing the global Rate of Total Electron Content Index (ROTI) maps in January. 2015. The
study aims to analyze and compare these irregularities across six longitudinal sectors: East
Africa, Russia, India, Japan, America, and Europe. Key objectives include investigating the
distribution and extent of irregularities, and contrasting their characteristics in these regions. The
methodology involves extracting sectorial data from the ROTI map, performing spatial and
comparative analyses, and visualizing the results through various techniques. Results reveal
significant diurnal and longitudinal variations in ROTI values, with notable peaks observed in
certain sectors. Comparative analysis highlights distinct ionospheric behaviors, particularly
pronounced irregularities in the Russian and Japanese sectors, and minimal irregularities in the
Indian sector. The findings contribute to a comprehensive understanding of ionospheric
dynamics, aiding in the development of improved predictive models and mitigation strategies for
communication and navigation systems |
en_US |