@Article{KlausnerMeDoPaTyFrKh:2014:AdWaTe,
author = "Klausner, Virginia and Mendes, Odim and Domingues, Margarete
Oliveira and Papa, A. R. R. and Tyler, R. H. and Frick, P. and
Kherani, Esfhan Alam",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and Department of Geophysics, National
Observatory, Rio de Janeiro, Brazil; Institute of Physics, Rio de
Janeiro State University, Rio de Janeiro, Brazil and Department of
Astronomy, University of Maryland, College Park MD, United States
and Laboratory of Physical Hydrodynamics, Institute of Continuous
Media Mechanics, Perm, Russian Federation and {Instituto Nacional
de Pesquisas Espaciais (INPE)}",
title = "Advantage of wavelet technique to highlight the observed
geomagnetic perturbations linked to the Chilean tsunami (2010)",
journal = "Journal of Geophysical Research: Space Physics",
year = "2014",
volume = "119",
number = "4",
pages = "3077--3093",
keywords = "geomagnetic field variations, quiet days, tsunami, wavelet
techniques, maximum variance analysis.",
abstract = "The vertical component (Z) of the geomagnetic field observed by
ground-based observatories of the International Real-Time Magnetic
Observatory Network has been used to analyze the induced magnetic
fields produced by the movement of a tsunami, electrically
conducting sea water through the geomagnetic field. We focus on
the survey of minutely sampled geomagnetic variations induced by
the tsunami of 27 February 2010 at Easter Island (IPM) and Papeete
(PPT) observatories. In order to detect the tsunami disturbances
in the geomagnetic data, we used wavelet techniques. We have
observed an 85% correlation between the Z component variation and
the tide gauge measurements in period range of 10 to 30 min which
may be due to two physical mechanisms: gravity waves and the
electric currents in the sea. As an auxiliary tool to verify the
disturbed magnetic fields, we used the maximum variance analysis
(MVA). At PPT, the analyses show local magnetic variations
associated with the tsunami arriving in advance of sea surface
fluctuations by about 2 h. The first interpretation of the results
suggests that wavelet techniques and MVA can be effectively used
to characterize the tsunami contributions to the geomagnetic field
and further used to calibrate tsunami models and implemented to
real-time analysis for forecast tsunami scenarios. Key Points
Chilean tsunami, 2010, was analyzed using wavelet techniques Z
component variation and tide gauge measurements showed a
correlation of 85% Magnetic variations induced by tsunami were
detected by 2 h in advance ©2014. American Geophysical Union. All
Rights Reserved.",
doi = "10.1002/2013JA019398",
url = "http://dx.doi.org/10.1002/2013JA019398",
issn = "2169-9402",
label = "scopus 2014-05 KlausnerMeDoPaTyFrKh:2014:AdWaTe",
language = "en",
targetfile = "743694_3_related_ms_3150702_n28dpf.pdf",
urlaccessdate = "05 maio 2024"
}