@Article{LorenzoDomMecMenMen:2016:TiInAp,
author = "Lorenzo, Maibys Sierra and Domingues, Margarete Oliveira and
Mec{\'{\i}}as, Angela Leon and Menconi, Varlei Everton and
Mendes, Odim",
affiliation = "{Meteorology Institute of Cuba} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {University of Havana} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "On the use of space-environmental satellite data for global
magnetohydrodynamic simulations: time-scale initialisation
approach",
journal = "Brazilian Journal of Physics",
year = "2016",
volume = "46",
number = "6",
pages = "703--713",
month = "Dec.",
keywords = "Continuous wavelet transform, Data assimilation, Global
magnetohydrodynamic model, Magnetosphere, Space electrodynamics.",
abstract = "A global magnetohydrodynamic (MHD) model describes the
solar-terrestrial system and the physical processes that live in
it. Information obtained from satellites provides input to MHD
model to compose a more realistic initial state for the equations
and, therefore, more accurate simulations. However, the use of
high resolution in time data can produce numerical instabilities
that quickly interrupt the simulations. Moreover, satellite time
series may have gaps which could be a problem in this context. In
order to contribute to the overcoming of such challenges, we
propose in this work a methodology based on a variant of the
continuous wavelet transform to introduce environmental satellite
data on the global resistive MHD model originally developed by
Prof. Ogino at the University of Nagoya. Our methodology uses a
simplified time-scale version of the original data that preserves
the most important spectral features of the phenomena of interest.
Then, we can do a long-term integration using this MHD model
without any computational instability, while preserving the main
time-scale features of the original data set and even overcome
possible occurrence of gaps on the satellite data. This
methodology also contributes to keeping more realistic physical
results.",
doi = "10.1007/s13538-016-0464-x",
url = "http://dx.doi.org/10.1007/s13538-016-0464-x",
issn = "0103-9733",
language = "en",
targetfile = "lorenzo_on the use.pdf",
urlaccessdate = "27 abr. 2024"
}