Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region
Abstract The total electron content (TEC) in the ionosphere widely influences Global Navigation Satellite Systems (GNSS) especially for critical applications by inducing localized positional errors in the GNSS measurements. These errors can be mitigated by measuring TEC from stations located around...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-08-01
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| Series: | Journal of Engineering and Applied Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44147-021-00007-x |
| _version_ | 1819006987503927296 |
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| author | Sumitra Iyer Alka Mahajan |
| author_facet | Sumitra Iyer Alka Mahajan |
| author_sort | Sumitra Iyer |
| collection | DOAJ |
| description | Abstract The total electron content (TEC) in the ionosphere widely influences Global Navigation Satellite Systems (GNSS) especially for critical applications by inducing localized positional errors in the GNSS measurements. These errors can be mitigated by measuring TEC from stations located around the world at various temporal and spatial scales and using them for advanced forecasting of TEC. The TEC can be used as a tool in understanding space weather phenomena such as geomagnetic storms which cause disruptions in the ionosphere. This paper examines the causal relationship between perturbations in TEC caused by geomagnetic storms. The causality between two geomagnetic indices auroral electrojet (AE) and disturbed storm index (Dst) and TEC is investigated using Granger causality at two low-latitude stations, Bangalore and Hyderabad. The outcomes of this study strengthen the regional understanding and modeling of ionospheric parameters which can contribute towards the global efforts for modeling and reducing the ionospheric effects on trans-ionospheric communication and navigation. The causal inferences combined with the data-driven model can be useful in identifying the correct and informative physical quantities to improve the forecasting models. |
| first_indexed | 2024-12-21T00:17:25Z |
| format | Article |
| id | doaj.art-fb62484124fa4e459954574ae6b12e3b |
| institution | Directory Open Access Journal |
| issn | 1110-1903 2536-9512 |
| language | English |
| last_indexed | 2024-12-21T00:17:25Z |
| publishDate | 2021-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Engineering and Applied Science |
| spelling | doaj.art-fb62484124fa4e459954574ae6b12e3b2022-12-21T19:22:11ZengSpringerOpenJournal of Engineering and Applied Science1110-19032536-95122021-08-0168112510.1186/s44147-021-00007-xGranger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial regionSumitra Iyer0Alka Mahajan1Department of Electronics and Communication, Nirma Institute of TechnologyMukesh Patel School of Technology Management & EngineeringAbstract The total electron content (TEC) in the ionosphere widely influences Global Navigation Satellite Systems (GNSS) especially for critical applications by inducing localized positional errors in the GNSS measurements. These errors can be mitigated by measuring TEC from stations located around the world at various temporal and spatial scales and using them for advanced forecasting of TEC. The TEC can be used as a tool in understanding space weather phenomena such as geomagnetic storms which cause disruptions in the ionosphere. This paper examines the causal relationship between perturbations in TEC caused by geomagnetic storms. The causality between two geomagnetic indices auroral electrojet (AE) and disturbed storm index (Dst) and TEC is investigated using Granger causality at two low-latitude stations, Bangalore and Hyderabad. The outcomes of this study strengthen the regional understanding and modeling of ionospheric parameters which can contribute towards the global efforts for modeling and reducing the ionospheric effects on trans-ionospheric communication and navigation. The causal inferences combined with the data-driven model can be useful in identifying the correct and informative physical quantities to improve the forecasting models.https://doi.org/10.1186/s44147-021-00007-xGeomagnetic stormIonosphereTotal electron contentGlobal Positioning SystemGranger causalityCointegration |
| spellingShingle | Sumitra Iyer Alka Mahajan Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region Journal of Engineering and Applied Science Geomagnetic storm Ionosphere Total electron content Global Positioning System Granger causality Cointegration |
| title | Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region |
| title_full | Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region |
| title_fullStr | Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region |
| title_full_unstemmed | Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region |
| title_short | Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region |
| title_sort | granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region |
| topic | Geomagnetic storm Ionosphere Total electron content Global Positioning System Granger causality Cointegration |
| url | https://doi.org/10.1186/s44147-021-00007-x |
| work_keys_str_mv | AT sumitraiyer grangercausalityanalysisofdeviationintotalelectroncontentduringgeomagneticstormsintheequatorialregion AT alkamahajan grangercausalityanalysisofdeviationintotalelectroncontentduringgeomagneticstormsintheequatorialregion |