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Day to night shift in reflection height of VLF radio waves derived from IRI model electron density models
Day to night shift in reflection height of VLF radio waves derived from IRI model electron density models
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Day to night shift in reflection height of VLF radio waves derived from IRI model electron density models
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Day to night shift in reflection height of VLF radio waves derived from IRI model electron density models
Day to night shift in reflection height of VLF radio waves derived from IRI model electron density models

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Day to night shift in reflection height of VLF radio waves derived from IRI model electron density models
Day to night shift in reflection height of VLF radio waves derived from IRI model electron density models
Journal Article

Day to night shift in reflection height of VLF radio waves derived from IRI model electron density models

2023
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Overview
The Very Low Frequency (VLF) radio wave propagation characteristics play a very important role in understanding the behaviour of the D-region. The earth-ionosphere wave guide theory has been used to evaluate the reflection height of VLF radio waves using the electron density profiles obtained from the International Reference Ionosphere (IRI) 2012 and 2016 models. For calculating the conductivity parameter, two different collision frequency models have been used. The diurnal shift in reflection height of 16-kHz VLF waves is evaluated for the midpoint of Visakhapatnam-Rugby path using the two IRI models and the results are compared with those values derived from VLF phase measurements made at Visakhapatnam. The theoretically evaluated values using the FT-2001 option for the D-region electron density profile in the IRI-2012 and IRI–2016 models are in good agreement with those obtained from phase measurements, especially in summer. The day to night shift in reflection height obtained using exponential collision critical frequency model are in good agreement with those derived from VLF phase measurements. The diurnal shift in reflection height of VLF radio waves during winter months derived from IRI models are much lower than those obtained from measurements.