The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms
Abstract 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 Ra...
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| Format: | Article |
| Language: | English |
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Wiley
2022-03-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2021SW002863 |
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| _version_ | 1841536375050993664 |
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| author | Qian Ye Cong Wang Fei He Bingsen Xue Xiaoxin Zhang |
| author_facet | Qian Ye Cong Wang Fei He Bingsen Xue Xiaoxin Zhang |
| author_sort | Qian Ye |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-eef714990a7642fd99d5b785686bc4f0 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2022-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-eef714990a7642fd99d5b785686bc4f02025-01-14T16:30:57ZengWileySpace Weather1542-73902022-03-01203n/an/a10.1029/2021SW002863The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic StormsQian Ye0Cong Wang1Fei He2Bingsen Xue3Xiaoxin Zhang4National Satellite Meteorological Center China Meteorological Administration Beijing ChinaNational Satellite Meteorological Center China Meteorological Administration Beijing ChinaKey Laboratory of Earth and Planetary Physics Institute of Geology and Geophysics Chinese Academy of Sciences Beijing ChinaNational Satellite Meteorological Center China Meteorological Administration Beijing ChinaNational Satellite Meteorological Center China Meteorological Administration Beijing ChinaAbstract 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.https://doi.org/10.1029/2021SW002863non‐recurrent stormcontinuous wavelet transformCosmic Ray IntensityEmpirical Mode Decompositionprecursor |
| spellingShingle | Qian Ye Cong Wang Fei He Bingsen Xue Xiaoxin Zhang The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms Space Weather non‐recurrent storm continuous wavelet transform Cosmic Ray Intensity Empirical Mode Decomposition precursor |
| title | The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms |
| title_full | The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms |
| title_fullStr | The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms |
| title_full_unstemmed | The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms |
| title_short | The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms |
| title_sort | frequency domain characterization of cosmic ray intensity variations before forbush decreases associated with geomagnetic storms |
| topic | non‐recurrent storm continuous wavelet transform Cosmic Ray Intensity Empirical Mode Decomposition precursor |
| url | https://doi.org/10.1029/2021SW002863 |
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