Estimation of dusk time F-region electron density vertical profiles using LSTM neural networks: A preliminary investigation
The vertical profile of the ionosphere density plays a significant role in the development of low-latitude Equatorial Plasma Bubbles (EPBs), that in turn lead to ionospheric scintillation which can severely degrade precision and availability of critical users of the Global Navigation Satellite Syste...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2023-12-01
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| Series: | Artificial Intelligence in Geosciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666544123000333 |
| _version_ | 1797347768830787584 |
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| author | Lucas Alves Salles Paulo Renato Pereira Silva Guilherme Schwinn Fagundes Jonas Sousasantos Alison Moraes |
| author_facet | Lucas Alves Salles Paulo Renato Pereira Silva Guilherme Schwinn Fagundes Jonas Sousasantos Alison Moraes |
| author_sort | Lucas Alves Salles |
| collection | DOAJ |
| description | The vertical profile of the ionosphere density plays a significant role in the development of low-latitude Equatorial Plasma Bubbles (EPBs), that in turn lead to ionospheric scintillation which can severely degrade precision and availability of critical users of the Global Navigation Satellite System (GNSS). Accurate estimation of ionospheric delays through vertical electron density profiles is vital for mitigating GNSS errors and enhancing location-based services. The objective of this study is to propose a neural network, trained with radio occultation data from the COSMIC-1 mission, that generates average ionospheric electron density profiles during dusk, focusing on the pre-reversal enhancement of the zonal electric field. Results show that the estimated profiles exhibit a clear seasonal pattern, and reproduce adequately the climatological behavior of the ionosphere, thus presenting strong appeal on ionospheric error attenuation. |
| first_indexed | 2024-03-08T11:53:32Z |
| format | Article |
| id | doaj.art-a2c133f72a5149beaa1cd602a432bccb |
| institution | Directory Open Access Journal |
| issn | 2666-5441 |
| language | English |
| last_indexed | 2024-03-08T11:53:32Z |
| publishDate | 2023-12-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Artificial Intelligence in Geosciences |
| spelling | doaj.art-a2c133f72a5149beaa1cd602a432bccb2024-01-24T05:22:01ZengKeAi Communications Co. Ltd.Artificial Intelligence in Geosciences2666-54412023-12-014209219Estimation of dusk time F-region electron density vertical profiles using LSTM neural networks: A preliminary investigationLucas Alves Salles0Paulo Renato Pereira Silva1Guilherme Schwinn Fagundes2Jonas Sousasantos3Alison Moraes4Instituto Tecnológico de Aeronáutica – ITA, São José Dos Campos, Brazil; Corresponding author.Instituto Tecnológico de Aeronáutica – ITA, São José Dos Campos, BrazilInstituto Tecnológico de Aeronáutica – ITA, São José Dos Campos, BrazilWilliam B. Hanson Center for Space Sciences, University of Texas at Dallas – UT Dallas, Richardson, TX, USAInstituto de Aeronáutica e Espaço – IAE, São José Dos Campos, SP, 12228-904, BrazilThe vertical profile of the ionosphere density plays a significant role in the development of low-latitude Equatorial Plasma Bubbles (EPBs), that in turn lead to ionospheric scintillation which can severely degrade precision and availability of critical users of the Global Navigation Satellite System (GNSS). Accurate estimation of ionospheric delays through vertical electron density profiles is vital for mitigating GNSS errors and enhancing location-based services. The objective of this study is to propose a neural network, trained with radio occultation data from the COSMIC-1 mission, that generates average ionospheric electron density profiles during dusk, focusing on the pre-reversal enhancement of the zonal electric field. Results show that the estimated profiles exhibit a clear seasonal pattern, and reproduce adequately the climatological behavior of the ionosphere, thus presenting strong appeal on ionospheric error attenuation.http://www.sciencedirect.com/science/article/pii/S2666544123000333Ionosphere densityEquatorial plasma bubbles (EPBs)Ionospheric scintillationGlobal navigation satellite system (GNSS)Neural network modeling |
| spellingShingle | Lucas Alves Salles Paulo Renato Pereira Silva Guilherme Schwinn Fagundes Jonas Sousasantos Alison Moraes Estimation of dusk time F-region electron density vertical profiles using LSTM neural networks: A preliminary investigation Artificial Intelligence in Geosciences Ionosphere density Equatorial plasma bubbles (EPBs) Ionospheric scintillation Global navigation satellite system (GNSS) Neural network modeling |
| title | Estimation of dusk time F-region electron density vertical profiles using LSTM neural networks: A preliminary investigation |
| title_full | Estimation of dusk time F-region electron density vertical profiles using LSTM neural networks: A preliminary investigation |
| title_fullStr | Estimation of dusk time F-region electron density vertical profiles using LSTM neural networks: A preliminary investigation |
| title_full_unstemmed | Estimation of dusk time F-region electron density vertical profiles using LSTM neural networks: A preliminary investigation |
| title_short | Estimation of dusk time F-region electron density vertical profiles using LSTM neural networks: A preliminary investigation |
| title_sort | estimation of dusk time f region electron density vertical profiles using lstm neural networks a preliminary investigation |
| topic | Ionosphere density Equatorial plasma bubbles (EPBs) Ionospheric scintillation Global navigation satellite system (GNSS) Neural network modeling |
| url | http://www.sciencedirect.com/science/article/pii/S2666544123000333 |
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