Method for estimation of solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density
The study suggests a new method for estimation of the solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density. For our analysis, we calculated complex amplitudes of 27-day components filtered from the data sets of peak electron density and indices of solar and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-06-01
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| Series: | Results in Physics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211379718326494 |
| _version_ | 1818296778007511040 |
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| author | K.G. Ratovsky G.A. Zherebtsov V.P. Tashlykov |
| author_facet | K.G. Ratovsky G.A. Zherebtsov V.P. Tashlykov |
| author_sort | K.G. Ratovsky |
| collection | DOAJ |
| description | The study suggests a new method for estimation of the solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density. For our analysis, we calculated complex amplitudes of 27-day components filtered from the data sets of peak electron density and indices of solar and geomagnetic activity. The use of complex amplitudes takes into account both the amplitude ratios and phase shifts (time delays between the 27-day components) within linear regressions. In this study we use the coefficients of determination for linear regressions to estimate the solar and geomagnetic contributions to the ionospheric variations. The coefficient of determination represents the proportion of the total variation in the dependent variable (ionospheric variations) that is explained by the independent variables (variations in solar and geomagnetic indices). Comparison with other studies showed that, apparently, the contribution estimation strongly depends on the filter bandwidth and the method for calculating the correlation coefficient. The choice of the optimal method and the filter bandwidth is open to question. Keywords: Ionosphere, 27-day component, Solar and geomagnetic activity |
| first_indexed | 2024-12-13T04:08:56Z |
| format | Article |
| id | doaj.art-4729030f68564ba3a91341997293632e |
| institution | Directory Open Access Journal |
| issn | 2211-3797 |
| language | English |
| last_indexed | 2024-12-13T04:08:56Z |
| publishDate | 2019-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Physics |
| spelling | doaj.art-4729030f68564ba3a91341997293632e2022-12-22T00:00:06ZengElsevierResults in Physics2211-37972019-06-0113Method for estimation of solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron densityK.G. Ratovsky0G.A. Zherebtsov1V.P. Tashlykov2Corresponding author.; Institute of Solar-Terrestrial Physics SB RAS, 664033 Irkutsk, RussiaInstitute of Solar-Terrestrial Physics SB RAS, 664033 Irkutsk, RussiaInstitute of Solar-Terrestrial Physics SB RAS, 664033 Irkutsk, RussiaThe study suggests a new method for estimation of the solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density. For our analysis, we calculated complex amplitudes of 27-day components filtered from the data sets of peak electron density and indices of solar and geomagnetic activity. The use of complex amplitudes takes into account both the amplitude ratios and phase shifts (time delays between the 27-day components) within linear regressions. In this study we use the coefficients of determination for linear regressions to estimate the solar and geomagnetic contributions to the ionospheric variations. The coefficient of determination represents the proportion of the total variation in the dependent variable (ionospheric variations) that is explained by the independent variables (variations in solar and geomagnetic indices). Comparison with other studies showed that, apparently, the contribution estimation strongly depends on the filter bandwidth and the method for calculating the correlation coefficient. The choice of the optimal method and the filter bandwidth is open to question. Keywords: Ionosphere, 27-day component, Solar and geomagnetic activityhttp://www.sciencedirect.com/science/article/pii/S2211379718326494 |
| spellingShingle | K.G. Ratovsky G.A. Zherebtsov V.P. Tashlykov Method for estimation of solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density Results in Physics |
| title | Method for estimation of solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density |
| title_full | Method for estimation of solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density |
| title_fullStr | Method for estimation of solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density |
| title_full_unstemmed | Method for estimation of solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density |
| title_short | Method for estimation of solar, geomagnetic, and atmospheric contributions to 27-day component of peak electron density |
| title_sort | method for estimation of solar geomagnetic and atmospheric contributions to 27 day component of peak electron density |
| url | http://www.sciencedirect.com/science/article/pii/S2211379718326494 |
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