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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Autores principales:	Sumitra Iyer, Alka Mahajan
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Geomagnetic storm Ionosphere Total electron content Global Positioning System Granger causality Cointegration Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/fb62484124fa4e459954574ae6b12e3b
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spelling	oai:doaj.org-article:fb62484124fa4e459954574ae6b12e3b2021-11-14T12:16:14ZGranger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region10.1186/s44147-021-00007-x1110-19032536-9512https://doaj.org/article/fb62484124fa4e459954574ae6b12e3b2021-08-01T00:00:00Zhttps://doi.org/10.1186/s44147-021-00007-xhttps://doaj.org/toc/1110-1903https://doaj.org/toc/2536-9512Abstract 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.Sumitra IyerAlka MahajanSpringerOpenarticleGeomagnetic stormIonosphereTotal electron contentGlobal Positioning SystemGranger causalityCointegrationEngineering (General). Civil engineering (General)TA1-2040ENJournal of Engineering and Applied Science, Vol 68, Iss 1, Pp 1-25 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geomagnetic storm Ionosphere Total electron content Global Positioning System Granger causality Cointegration Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Geomagnetic storm Ionosphere Total electron content Global Positioning System Granger causality Cointegration Engineering (General). Civil engineering (General) TA1-2040 Sumitra Iyer Alka Mahajan Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region
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.
format	article
author	Sumitra Iyer Alka Mahajan
author_facet	Sumitra Iyer Alka Mahajan
author_sort	Sumitra Iyer
title	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_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_sort	granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/fb62484124fa4e459954574ae6b12e3b
work_keys_str_mv	AT sumitraiyer grangercausalityanalysisofdeviationintotalelectroncontentduringgeomagneticstormsintheequatorialregion AT alkamahajan grangercausalityanalysisofdeviationintotalelectroncontentduringgeomagneticstormsintheequatorialregion
_version_	1718429384489041920

Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region

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