Tropospheric and Ionospheric Modeling Using GNSS Time Series in Volcanic Eruptions (La Palma, 2021)

The signal coming from the artificial satellites of the GNSS system suffers various effects that considerably decrease the precision in solving the positioning problem. To mathematically model these effects, the atmosphere is divided into two main parts, the troposphere and the ionosphere. The tropo...

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Main Authors: Paola Barba, Javier Ramírez-Zelaya, Vanessa Jiménez, Belén Rosado, Elena Jaramillo, Mario Moreno, Manuel Berrocoso
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/39/1/9047
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author Paola Barba
Javier Ramírez-Zelaya
Vanessa Jiménez
Belén Rosado
Elena Jaramillo
Mario Moreno
Manuel Berrocoso
author_facet Paola Barba
Javier Ramírez-Zelaya
Vanessa Jiménez
Belén Rosado
Elena Jaramillo
Mario Moreno
Manuel Berrocoso
author_sort Paola Barba
collection DOAJ
description The signal coming from the artificial satellites of the GNSS system suffers various effects that considerably decrease the precision in solving the positioning problem. To mathematically model these effects, the atmosphere is divided into two main parts, the troposphere and the ionosphere. The troposphere can only be modelled, while the ionospheric effect can be modeled or eliminated depending on the geodetic sophistication of the receivers used. In this way, information is obtained about both layers of the atmosphere. For tropospheric modeling, the parameters of total zenithal delay (ZTD) or precipitable water vapor (PVW) will be taken, and for the ionosphere the total electron content (TEC) will be taken. In this work, statistical and analytical techniques will be applied with the R software; for example, ARMA, ARIMA models, least squares methods, wavelet functions, Kalman techniques, and CATS analysis. With this, the anomalies that occurred in the values of the ZTD and TEC in the case of the 2021 eruption of the Cumbre Vieja volcano on the island of La Palma.
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spelling doaj.art-91d20c4558bb43f9ada3f86880630ef42023-11-19T10:31:04ZengMDPI AGEngineering Proceedings2673-45912023-07-01391904710.3390/engproc2023039047Tropospheric and Ionospheric Modeling Using GNSS Time Series in Volcanic Eruptions (La Palma, 2021)Paola Barba0Javier Ramírez-Zelaya1Vanessa Jiménez2Belén Rosado3Elena Jaramillo4Mario Moreno5Manuel Berrocoso6Laboratorio de Astronomía, Geodesia y Cartografía, Departamento de Matemáticas, Facultad de Ciencias, Campus de Puerto Real, Universidad de Cádiz, 11510 Puerto Real, SpainLaboratorio de Astronomía, Geodesia y Cartografía, Departamento de Matemáticas, Facultad de Ciencias, Campus de Puerto Real, Universidad de Cádiz, 11510 Puerto Real, SpainDepartamento de Física Teórica y del Cosmos, Facultad de Ciencias (Edificio Mecenas), Campus de Fuentenueva, Universidad de Granada, 18010 Granada, SpainLaboratorio de Astronomía, Geodesia y Cartografía, Departamento de Matemáticas, Facultad de Ciencias, Campus de Puerto Real, Universidad de Cádiz, 11510 Puerto Real, SpainLaboratorio de Astronomía, Geodesia y Cartografía, Departamento de Matemáticas, Facultad de Ciencias, Campus de Puerto Real, Universidad de Cádiz, 11510 Puerto Real, SpainLaboratorio de Astronomía, Geodesia y Cartografía, Departamento de Matemáticas, Facultad de Ciencias, Campus de Puerto Real, Universidad de Cádiz, 11510 Puerto Real, SpainLaboratorio de Astronomía, Geodesia y Cartografía, Departamento de Matemáticas, Facultad de Ciencias, Campus de Puerto Real, Universidad de Cádiz, 11510 Puerto Real, SpainThe signal coming from the artificial satellites of the GNSS system suffers various effects that considerably decrease the precision in solving the positioning problem. To mathematically model these effects, the atmosphere is divided into two main parts, the troposphere and the ionosphere. The troposphere can only be modelled, while the ionospheric effect can be modeled or eliminated depending on the geodetic sophistication of the receivers used. In this way, information is obtained about both layers of the atmosphere. For tropospheric modeling, the parameters of total zenithal delay (ZTD) or precipitable water vapor (PVW) will be taken, and for the ionosphere the total electron content (TEC) will be taken. In this work, statistical and analytical techniques will be applied with the R software; for example, ARMA, ARIMA models, least squares methods, wavelet functions, Kalman techniques, and CATS analysis. With this, the anomalies that occurred in the values of the ZTD and TEC in the case of the 2021 eruption of the Cumbre Vieja volcano on the island of La Palma.https://www.mdpi.com/2673-4591/39/1/9047troposphereionosphereZTDTECGNSS systemvolcanic eruption
spellingShingle Paola Barba
Javier Ramírez-Zelaya
Vanessa Jiménez
Belén Rosado
Elena Jaramillo
Mario Moreno
Manuel Berrocoso
Tropospheric and Ionospheric Modeling Using GNSS Time Series in Volcanic Eruptions (La Palma, 2021)
Engineering Proceedings
troposphere
ionosphere
ZTD
TEC
GNSS system
volcanic eruption
title Tropospheric and Ionospheric Modeling Using GNSS Time Series in Volcanic Eruptions (La Palma, 2021)
title_full Tropospheric and Ionospheric Modeling Using GNSS Time Series in Volcanic Eruptions (La Palma, 2021)
title_fullStr Tropospheric and Ionospheric Modeling Using GNSS Time Series in Volcanic Eruptions (La Palma, 2021)
title_full_unstemmed Tropospheric and Ionospheric Modeling Using GNSS Time Series in Volcanic Eruptions (La Palma, 2021)
title_short Tropospheric and Ionospheric Modeling Using GNSS Time Series in Volcanic Eruptions (La Palma, 2021)
title_sort tropospheric and ionospheric modeling using gnss time series in volcanic eruptions la palma 2021
topic troposphere
ionosphere
ZTD
TEC
GNSS system
volcanic eruption
url https://www.mdpi.com/2673-4591/39/1/9047
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