作者: BO Ogunsua , JS Ojo , AT Adediji , None
DOI: 10.1016/J.ASR.2018.06.035
关键词:
摘要: Abstract Understanding the hidden dynamics of atmosphere and its effect on radio wave propagation is paramount. Therefore proper characterization atmospheric especially for annual seasonal variation necessary. In this paper, weather parameters (pressure, relative humidity temperature), were used to obtain refractivity at surface N s level, 100 m height, 100 differential dN / dH . The extracted characterized based chaoticity dynamical complexity, Akure meteorological station (7°15′9.22″N, 5°11′35.23″E). data analysis has been Combined application Largest Lyapunov Exponent Tsallis Entropy (CLLETE). sets year 2011 2012 have computation. It was observed that CLLETE follow similar trend in most cases, exponent generally positive indicating presence chaos all sets. further revealed pattern complexity variations a from July December with values computed S having huge departure other two heights lower values. However, beginning June. Chaos also show following same between December. This indicates response varying conditions.