@Article{BarbosaAlCaHaPaPi:2015:CoMeCa,
author = "Barbosa, Cleiton and Alves, Livia Ribeiro and Caraballo, Ramon and
Hartmann, Gelvam A. and Papa, Andres R. R. and Pirjola, Risto J.",
affiliation = "{Observat{\'o}rio Nacional (ON)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and Universidad de la Rep{\'u}blica,
Facultad de Ciencias (UDELAR) and {Observat{\'o}rio Nacional
(ON)} and {Observat{\'o}rio Nacional (ON)} and {Finnish
Meteorological Institute}",
title = "Analysis of geomagnetically induced currents at a low-latitude
region over the solar cycles 23 and 24: comparison between
measurements and calculations",
journal = "Journal of Space Weather and Space Climate",
year = "2015",
volume = "5",
number = "A35",
month = "Nov.",
keywords = "Geomagnetically Induced Currents (GIC), Hazard, Space weather,
Non-linear phenomena, Geomagnetism.",
abstract = "Geomagnetically Induced Currents (GIC) are a space weather effect,
which affects ground-based technological structures at all
latitudes on the Earth's surface. GIC occurrence and amplitudes
have been monitored in power grids located at high and middle
latitudes since 1970s and 1980s, respectively. This monitoring
provides information about the GIC intensity and the frequency of
occurrence during geomagnetic storms. In this paper, we
investigate GIC occurrence in a power network at low latitudes (in
the central Brazilian region) during the solar cycles 23 and 24.
Calculated and measured GIC data are compared for the most intense
geomagnetic storms (i.e. -50 < Dst < -50 nT) of the solar cycle
24. The results obtained from this comparison show a good
agreement. The success of the model employed for the calculation
of GIC leads to the possibility of determining GIC for events
during the solar cycle 23 as well. Calculated GIC in one
transformer reached ca. 30 A during the {"}Halloween storm{"} in
2003 whilst most frequent intensities lie below 10 A. The
normalized inverse cumulative frequency for GIC data was
calculated for the solar cycle 23 in order to perform a
statistical analysis. It was found that a q-exponential Tsallis
distribution fits the calculated GIC frequency distribution for
more than 99% of the data. This analysis provides an overview of
the long-term GIC monitoring at low latitudes and suggests new
insight into critical phenomena involved in the GIC generation.",
doi = "10.1051/swsc/2015036",
url = "http://dx.doi.org/10.1051/swsc/2015036",
issn = "2115-7251",
language = "en",
targetfile = "barbosa.pdf",
urlaccessdate = "16 jun. 2024"
}