2010
DOI: 10.1029/2009ja014984
|View full text |Cite
|
Sign up to set email alerts
|

Variabilities of the equatorial electrojet in Brazil and Perú

Abstract: [1] This report presents seasonal and longitudinal variabilities of the equatorial electrojet in the east (Brazil, São Luís: 2.3°S; 315.8°E; 0.5°S dip latitude) and west (Jicamarca, Perú: 11.95°S; 283.13°E; 0.6°N dip latitude) coasts of the continent of South America. Ground-based magnetic field perturbation measurements DH for solar maximum (2001/2002) and solar minimum (2006/2007) conditions from the two equatorial stations (São Luís and Jicamarca) have been used for the study. The DH signal which is a mea… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
19
0

Year Published

2011
2011
2017
2017

Publication Types

Select...
7
2

Relationship

6
3

Authors

Journals

citations
Cited by 27 publications
(22 citation statements)
references
References 44 publications
3
19
0
Order By: Relevance
“…In addition, Shume et al . [, ] and Guizelli et al . [] investigated the regional differences about the EEJ in the Brazilian and Peruvian sector.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, Shume et al . [, ] and Guizelli et al . [] investigated the regional differences about the EEJ in the Brazilian and Peruvian sector.…”
Section: Introductionmentioning
confidence: 99%
“…In Jicamarca the declination is almost zero, and São Luís is around 12S. A possible influence of the large negative declination angles over Brazil should be considered as one of the responsible by the stronger TEC over São Luís, once that the declination angle is supposed to be the causative of the modifications in the equatorial electrojet (Shume et al, 2010) and the EEJ is the main responsible by the daytime vertical drift.…”
Section: Discussionmentioning
confidence: 99%
“…In this section, we formally describe the wavelet analysis technique (readers who are familiar with this subject may wish to continue to section 3). A wavelet analysis decomposes a signal into a 2‐D time‐frequency image, thereby allowing the identification of physically important modes of variability in the signal as well as the determination of how these modes vary temporally [ Torrence and Compo , ; Shume et al , ]. Wavelet analysis is often applied for the purpose of spectral analysis of nonstationary signals [e.g., Wernik , ; Torrence and Compo , ] where the scintillation signal scriptS4 is an example.…”
Section: Data Sources and Analysis Techniquesmentioning
confidence: 99%