Please use this identifier to cite or link to this item: http://library.iigm.res.in:8080/xmlui/handle/123456789/1719
Title: Extreme space weather events of solar cycle 24: X-class solar flares and their impact on the low-latitude D-region ionosphere
Authors: Venkatesham, K.
Maurya, Ajeet K.
Singh, Rajesh
Dwivedi, Suneet
Keywords: D-region ionosphere
Space weather
Solar cycle
Solar flares
Trend line
VLF waves
Issue Date: 2023
Citation: Current Science, V. 124, No. 7, 10 APRIL 2023, doi: 10.18520/cs/v124/i7/812-819
Abstract: X-class solar flares, which occurred in the daytime from 2008 to 2016 during solar cycle 24, were studied for their influence on the lower ionosphere over the low-equatorial Indian region. To understand the D-region behaviour during flare events, we used the very low fre-quency (VLF) navigational transmitter NWC (19.8 kHz) signal recorded at Pryagraj, Uttar Pradesh, India. A total of seven parameters were estimated: (i) the mag-nitude of X-ray flux, (ii) VLF signal rising amplitude perturbation (SRAP), (iii) X-ray flux and NWC signal start time difference (STD), (iv) peak time difference (PTD), (v) Wait’s ionospheric parameters h′ (reference height), (vi) β (sharpness factor) and (vii) D-region electron density difference (EDD) to determine the overall effect of solar flares on the D-region. The re-sults suggest that three parameters (X-ray flux, SRAP and h′) show a decreasing trend through the linear fit line, two parameters (β and EDD) show an increasing trend, while the remaining two parameters show a mixed trend (decrease during low activity and increase during high activity). Further, the trend line during the diurnal variation shows an increasing trend for X-ray flux, PTD and h′, and a decreasing trend for SRAP, STD, β and EDD. Deviation in the case of individual events may indicate the dependence of these parame-ters on the seasons as well. The present study will pro-vide the base for more robust analysis and modelling work in the future to understand the complexity of ion-ospheric change during flare events, and to develop a predictive model for space weather mitigation.
URI: http://library.iigm.res.in:8080/xmlui/handle/123456789/1719
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