Lower Ionospheric Disturbances Due To Geomagnetic Storms of March and April 2023: Inferred From VLF Navigational Signals and Numerical Simulations

Abstract D‐region effect of intense storm of 23 March ( D st = −163 nT) and super storm of 23 April 2023 ( D st = −212 nT) have been investigated using VTX and NWC transmitter signals recorded at low latitude station Dehradun (DDN; 30.31°N, 78.03°E), India. During March storm on 23 March, amplitude anomalies of +2.92 (NWC) and +1.91 dB (VTX) were observed. April storm showed amplitude anomalies of −9.41 (NWC) and −2.68 dB (VTX) on 23 April. Long Wave Propagation Capability code (LWPC) has been used to model signal anomalies to obtain D‐region Very low frequency (VLF) reference height ( H ′) and electron density gradient ( β ). During March storm, NWC‐Dehradun path showed a decrease in H ′ by 12.04 km and an increase in β by 0.301 km −1 , while VTX‐Dehradun path showed an increase in H ′ by 0.07 km and β by 0.032 km −1 on 23 March. During April storm, VTX‐Dehradun path showed increase in H ′ by 0.315 km and an increase in β by 0.024 km −1 , while H ′ increased by 2.91 km and β by 0.23 km −1 for NWC—Dehradun path on 23 April. Wavelet analysis of VLF anomalies showed signatures of atmospheric gravity waves of periods between 30 and 100 min during both storms associated with joule heating in the high/auroral latitudes. Results suggest that storm time prompt penetration (PP) of electric fields has contributed to VLF signal anomalies during April storm's main phase, which is also supported by PP Equatorial Electric Field Model run for the location of DDN station.

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Publication Details

Journal
Journal of Geophysical Research Space Physics
Published
2024-12-01
DOI
https://doi.org/10.1029/2024ja033188
Citations
1
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.33

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Lower Ionospheric Disturbances Due To Geomagnetic Storms of March and April 2023: Inferred From VLF Navigational Signals and Numerical Simulations

Rajesh Singh, Rajat Tripathi, Sushil Kumar, Dayanand Bhaskar et al.
1 citations
Journal of Geophysical Research Space Physics
Ionosphere and magnetosphere dynamics
0.33
article

Lower Ionospheric Disturbances Due To Geomagnetic Storms of March and April 2023: Inferred From VLF Navigational Signals and Numerical Simulations

Rajesh Singh, Rajat Tripathi, Sushil Kumar, Dayanand Bhaskar, Ajeet K. Maurya
article en
1 citations

Abstract

Abstract D‐region effect of intense storm of 23 March ( D st = −163 nT) and super storm of 23 April 2023 ( D st = −212 nT) have been investigated using VTX and NWC transmitter signals recorded at low latitude station Dehradun (DDN; 30.31°N, 78.03°E), India. During March storm on 23 March, amplitude anomalies of +2.92 (NWC) and +1.91 dB (VTX) were observed. April storm showed amplitude anomalies of −9.41 (NWC) and −2.68 dB (VTX) on 23 April. Long Wave Propagation Capability code (LWPC) has been used to model signal anomalies to obtain D‐region Very low frequency (VLF) reference height ( H ′) and electron density gradient ( β ). During March storm, NWC‐Dehradun path showed a decrease in H ′ by 12.04 km and an increase in β by 0.301 km −1 , while VTX‐Dehradun path showed an increase in H ′ by 0.07 km and β by 0.032 km −1 on 23 March. During April storm, VTX‐Dehradun path showed increase in H ′ by 0.315 km and an increase in β by 0.024 km −1 , while H ′ increased by 2.91 km and β by 0.23 km −1 for NWC—Dehradun path on 23 April. Wavelet analysis of VLF anomalies showed signatures of atmospheric gravity waves of periods between 30 and 100 min during both storms associated with joule heating in the high/auroral latitudes. Results suggest that storm time prompt penetration (PP) of electric fields has contributed to VLF signal anomalies during April storm's main phase, which is also supported by PP Equatorial Electric Field Model run for the location of DDN station.

Journal of Geophysical Research Space PhysicsVol. 129(12)
Babasaheb Bhimrao Ambedkar University (IN), University of the South Pacific (FJ), Geological Survey of India (IN)
Arthritis National Research Foundation, National Research Foundation
Openalex Percentile: Top 32%
Ionosphere and magnetosphere dynamics
0.33
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