Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Climatology of the scintillation onset over southern Brazil

Full text
Author(s):
Sousasantos, Jonas [1] ; Moraes, Alison de Oliveira [2] ; Sobral, Jose H. A. [1] ; Muella, Marcio T. A. H. [3] ; de Paula, Eurico R. [1] ; Paolini, Rafael S. [4]
Total Authors: 6
Affiliation:
[1] INPE, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[2] IAE, BR-12228904 Sao Jose Dos Campos, SP - Brazil
[3] Univ Vale Paraiba UNIVAP, Inst Res & Dev IP&D, BR-12244000 Sao Jose Dos Campos, SP - Brazil
[4] EMBRAER, Sao Jose Dos Campos, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: Annales Geophysicae; v. 36, n. 2, p. 565-576, APR 3 2018.
Web of Science Citations: 3
Abstract

This work presents an analysis of the climatology of the onset time of ionospheric scintillations at low latitude over the southern Brazilian territory near the peak of the equatorial ionization anomaly (EIA). Data from L1 frequency GPS receiver located in Cachoeira Paulista (22.4 degrees S, 45.0 degrees W; dip latitude 16.9 degrees S), from September 1998 to November 2014, covering a period between solar cycles 23 and 24, were used in the present analysis of the scintillation onset time. The results show that the start time of the ionospheric scintillation follows a pattern, starting about 40 min earlier, in the months of November and December, when compared to January and February. The analyses presented here show that such temporal behavior seems to be associated with the ionospheric prereversal vertical drift (PRVD) magnitude and time. The influence of solar activity in the percentage of GPS links affected is also addressed together with the respective ionospheric prereversal vertical drift behavior. Based on this climatological study a set of empirical equations is proposed to be used for a GNSS alert about the scintillation prediction. The identification of this kind of pattern may support GNSS applications for aviation and oil extraction maritime stations positioning. (AU)

FAPESP's process: 17/50115-0 - GNSS technology for supporting air navigation
Grantee:Joao Francisco Galera Monico
Support Opportunities: Research Grants - Research in Public Policies