@InProceedings{GomesChiRemRamSil:2018:RoCuSh,
author = "Gomes, Tiago Francisco Pinheiro and Chian, Abraham Chian Long and
Rempel, Erico Luiz and Ramos, Fernando Manuel and Silva, Suzana de
Souza e Almeida",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University
of Adelaide} and {Instituto Tecnol{\'o}gico da Aeron{\'a}utica
(ITA)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Tecnol{\'o}gico da Aeron{\'a}utica (ITA)}",
title = "The role of current sheets on the statiscal modellng of extreme
events for spatial-time series in the solar wind",
year = "2018",
organization = "Latin American Conference on Space Geophysics, 11. (COLAGE)",
abstract = "The solar wind constitutes a nonlinear dynamical system,
presenting intermittent turbulence, multifractality and chaotic
dynamics. One characteristic shared by many such complex systems
is the presence of extreme events, that play an important role in
several Geophysical phenomena and their statistical
characterization is a problem of great practical relevance. This
work investigates the presence of extreme events in time series of
the modulus of the interplanetary magnetic eld measured by Cluster
1 spacecraft. One of the main results is that the solar wind near
the Earths bow shock can be modeled by the Generalized Pareto (GP)
and Generalized Extreme Values (GEV) distributions. Both models
present a statistically signicant positive shape parameter,
implying a heavy tail in the probability distribution functions
and an unbounded growth in return values as return periods become
very long. There is evidence that current sheets are the main
responsible for positive values of the shape parameter. In
addition, we will perform the same statistical analysis on
simulated data for current sheets in the solar wind environment
using spatio-time series. It is also shown that magnetic
reconnection at the interface between two interplanetary magnetic
ux ropes in the solar wind can be considered as Dragon Kings (DK),
which are a class of extreme events whose formation mechanisms are
fundamentaly dierent from others, thus opening the possibility of
their identication, prediction and even suppression. Dragon kings
had previously been identied in time series of nancial crashes,
nuclear power generation accidents, stock market and so on, and it
is believed that they are associated with the occurrence of
extreme events in dynamical systems at phase transition,
bifurcation, crises or tipping points.",
conference-location = "Buenos Aires, Argentina",
conference-year = "16-20 abr.",
language = "en",
urlaccessdate = "21 maio 2024"
}