Spectral Features of Forbush Decrease During Geomagnetic Storms

Adhikari, Binod; Baral, Rabin; Calabia, Andrés; Shah, Munawar; Mishra, Roshan Kumar; Silwal, Ashok; Bohara, Sudarshan; Manandhar, Roshna

doi:10.2139/ssrn.4051359

Cited by 2 publications

(1 citation statement)

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“…Therefore, it could be difficult to predict the non‐recurrent geomagnetic storms only using the CRI variations in time‐domain. As the ICMEs change not only the amplitude but also the frequency of CRI variations (Adhikari et al., 2021; Le Guiming et al., 2004), investigation in frequency‐domain could obtain more information of the precursor of CRI variations, so as to predict the storms.…”

Section: Introductionmentioning

confidence: 99%

The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms

Wang

et al. 2022

Space Weather

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Nonrecurrent geomagnetic storms caused by Coronal Mass Ejection (CME) can induce serious impacts on space‐ and ground‐based equipment. However, these nonrecurrent geomagnetic storms are hard to predict since CMEs are not periodic. Previous studies have shown that the variations of Cosmic Ray Intensity (CRI) before nonrecurrent storms may forebode the coming geomagnetic storm. But it is difficult to extract the variations since the cosmic ray flux is a complex signal. In order to identify the precursory signal in CRI variations triggered by CME, an ensemble self‐adaptive time‐frequency analysis method was proposed and applied to 65 nonrecurrent geomagnetic storms occurred between 1998 and 2019. The results indicate that the precursory signals are successfully identified in 43 of 45 storms, after excluding 20 storms accompanied by ground level enhancement. In addition, it is also found that the spectral density of the precursory signal could reflect the active level of geomagnetic condition, which is lower during geomagnetic quiet period.

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Section: Introductionmentioning

confidence: 99%