
Modeling of ionospheric irregularities during geomagnetically disturbed conditions over African low‐latitude region
Author(s) -
Mungufeni Patrick,
Habarulema John Bosco,
Jurua Edward
Publication year - 2016
Publication title -
space weather
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.254
H-Index - 56
ISSN - 1542-7390
DOI - 10.1002/2016sw001446
Subject(s) - ionosphere , low latitude , geomagnetically induced current , latitude , geology , geophysics , meteorology , climatology , geodesy , atmospheric sciences , earth's magnetic field , geography , geomagnetic storm , physics , quantum mechanics , magnetic field
In this study, station‐specific models of ionospheric irregularities over low‐latitude African region during geomagnetically disturbed days ( D s t ≤−50 nT) have been developed. Global Navigation Satellite Systems (GNSS)‐derived ionospheric total electron content (TEC) data during 1998–2014 were used. Ionospheric irregularities were represented with the rate of change of TEC index (ROTI). The inputs for the models are the local time, solar flux index, day number of the year, auroral electrojet, and the disturbance storm time indices, while the output is the hourly median ROTI during these given conditions. To develop the models, the ROTI index values were binned based on the input parameters and cubic B splines were then fitted to the binned data. Developed models were validated with independent data over stations within 680 km radius. The models reproduced fairly well the inhibitions and the occurrences of ionospheric irregularities during geomagnetically disturbed days. The models even emulated these patterns in the various seasons, during medium and high solar activity conditions. During validations of the models, the percentages of the number of errors (difference between the observed and the modeled ROTI) <0.05 total electron content unit, 1TECU = 1016 el m −2 (TECU)/Min at all the stations were all >70% and the root‐mean‐square error were mostly < 0.1 TECU/Min. Furthermore, the correlation coefficients ranged from 0.47 to 0.76.