Structural characterization of the equatorial F region plasma irregularities in the multifractal context
In the emerging ionosphere–space–weather paradigm, investigating the dynamical properties of ionospheric plasma irregularities using advanced computational nonlinear algorithms provide new insights into their turbulent-seeming nature, for instance, the evidence of energy distribution via a multiplic...
| Autores principales: | , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | http://eprints.uanl.mx/23310/1/23310.pdf |
| _version_ | 1824416835203760128 |
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| author | Joshi, Neelakshi Rosa, Reinaldo R. Savio, Siomel Kherani, Esfhan Alam de Meneses, Francisco Carlos Stephany, Stephan Muralikrishna, Polinaya |
| author_facet | Joshi, Neelakshi Rosa, Reinaldo R. Savio, Siomel Kherani, Esfhan Alam de Meneses, Francisco Carlos Stephany, Stephan Muralikrishna, Polinaya |
| author_sort | Joshi, Neelakshi |
| collection | Repositorio Institucional |
| description | In the emerging ionosphere–space–weather paradigm, investigating the dynamical properties of ionospheric plasma irregularities using advanced computational nonlinear algorithms provide new insights into their turbulent-seeming nature, for instance, the evidence of energy distribution via a multiplicative cascade. In this study, we present a multifractal analysis of the equatorial F region in situ data obtained from two different experiments performed at Alcântara (2.4∘ S, 44.4∘ W), Brazil, to explore their scaling structures. The first experiment observed several medium- to large-scale plasma bubbles whereas the second experiment observed vertical uplift of the base of the F region. The multifractal detrended fluctuation analysis and the p-model fit are used to analyze the plasma density fluctuation time series. The result shows the presence of multifractality with degree of multifractality 0.53–0.93 and 0.3≤p≤0.4 cascading probability for the first experiment. Other experimental data also exhibit multifractality with degree of multifractality 0.19–0.27 and 0.42≤p≤0.44 cascading probability in ionospheric plasma irregularities. Our results confirm the nonhomogeneous nature of plasma irregularities and characterize the underlying nonhomogeneous multiplicative cascade hypothesis in the ionospheric medium. Differences in terms of scaling and complexity in the data belonging to different types of phenomena are also addressed. |
| format | Article |
| id | eprints-23310 |
| institution | UANL |
| language | English |
| publishDate | 2020 |
| record_format | eprints |
| spelling | eprints-233102022-09-02T18:24:31Z http://eprints.uanl.mx/23310/ Structural characterization of the equatorial F region plasma irregularities in the multifractal context Joshi, Neelakshi Rosa, Reinaldo R. Savio, Siomel Kherani, Esfhan Alam de Meneses, Francisco Carlos Stephany, Stephan Muralikrishna, Polinaya QA Matemáticas, Ciencias computacionales In the emerging ionosphere–space–weather paradigm, investigating the dynamical properties of ionospheric plasma irregularities using advanced computational nonlinear algorithms provide new insights into their turbulent-seeming nature, for instance, the evidence of energy distribution via a multiplicative cascade. In this study, we present a multifractal analysis of the equatorial F region in situ data obtained from two different experiments performed at Alcântara (2.4∘ S, 44.4∘ W), Brazil, to explore their scaling structures. The first experiment observed several medium- to large-scale plasma bubbles whereas the second experiment observed vertical uplift of the base of the F region. The multifractal detrended fluctuation analysis and the p-model fit are used to analyze the plasma density fluctuation time series. The result shows the presence of multifractality with degree of multifractality 0.53–0.93 and 0.3≤p≤0.4 cascading probability for the first experiment. Other experimental data also exhibit multifractality with degree of multifractality 0.19–0.27 and 0.42≤p≤0.44 cascading probability in ionospheric plasma irregularities. Our results confirm the nonhomogeneous nature of plasma irregularities and characterize the underlying nonhomogeneous multiplicative cascade hypothesis in the ionospheric medium. Differences in terms of scaling and complexity in the data belonging to different types of phenomena are also addressed. 2020 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/23310/1/23310.pdf http://eprints.uanl.mx/23310/1.haspreviewThumbnailVersion/23310.pdf Joshi, Neelakshi y Rosa, Reinaldo R. y Savio, Siomel y Kherani, Esfhan Alam y de Meneses, Francisco Carlos y Stephany, Stephan y Muralikrishna, Polinaya (2020) Structural characterization of the equatorial F region plasma irregularities in the multifractal context. Annales geophysicae, 38 (2). pp. 445-456. ISSN 1432-0576 http://doi.org/10.5194/angeo-38-445-2020 doi:10.5194/angeo-38-445-2020 |
| spellingShingle | QA Matemáticas, Ciencias computacionales Joshi, Neelakshi Rosa, Reinaldo R. Savio, Siomel Kherani, Esfhan Alam de Meneses, Francisco Carlos Stephany, Stephan Muralikrishna, Polinaya Structural characterization of the equatorial F region plasma irregularities in the multifractal context |
| thumbnail | https://rediab.uanl.mx/themes/sandal5/images/online.png |
| title | Structural characterization of the equatorial F region plasma irregularities in the multifractal context |
| title_full | Structural characterization of the equatorial F region plasma irregularities in the multifractal context |
| title_fullStr | Structural characterization of the equatorial F region plasma irregularities in the multifractal context |
| title_full_unstemmed | Structural characterization of the equatorial F region plasma irregularities in the multifractal context |
| title_short | Structural characterization of the equatorial F region plasma irregularities in the multifractal context |
| title_sort | structural characterization of the equatorial f region plasma irregularities in the multifractal context |
| topic | QA Matemáticas, Ciencias computacionales |
| url | http://eprints.uanl.mx/23310/1/23310.pdf |
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