| Texto completo | |
| Autor(es): |
Salles, Lucas Alves
;
Silva, Paulo Renato Pereira
;
Fagundes, Guilherme Schwinn
;
Sousasantos, Jonas
;
Moraes, Alison
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | ARTIFICIAL INTELLIGENCE IN GEOSCIENCES; v. 4, p. 11-pg., 2023-12-01. |
| Resumo | |
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. (AU) | |
| Processo FAPESP: | 18/06158-9 - Estudos estatísticos da variação dos parâmetros ionosféricos e sua relação com eventos do clima espacial |
| Beneficiário: | Jonas de Sousa dos Santos |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |