@InProceedings{KlausnerKheOjePreSan:2018:StEfGe,
author = "Klausner, Virginia and Kherani, Esfhan Alam and Ojeda
Gonz{\'a}lez, A. and Prestes, A. and Santos, T. de Almeida",
affiliation = "{Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade do Vale
do Para{\'{\i}}ba (UNIVAP)} and {Universidade do Vale do
Para{\'{\i}}ba (UNIVAP)} and {Universidade do Vale do
Para{\'{\i}}ba (UNIVAP)}",
title = "Study of the effects on the geomagnetic field during the Maule
Tsunami using four spatiotemporal methods",
year = "2018",
organization = "Simp{\'o}sio Brasileiro de Geof{\'{\i}}sica Espacial e
Aeronomia, 7. (SBGEA)",
abstract = "A challenging task is to separate tsunamigenic variations in the
geomagnetic field measurements in the presence of more dominating
magnetic variations by currents in the inner core of the Earth and
by ionospheric currents. To decode tsunamigenic contributions,
spatio-temporal multi-data analyses are required to be implemented
in an integrated manner. In this work, we present one integrated
framework that has shown enormous potential and efficiency to
retrieve tsunamigenic contributions from the geomagnetic field
measurements. We select the Maule (2010) tsunami event occurred on
west coast of Chile, and examine geomagnetic measurements from 9
ground magnetometers scattered in the pacific ocean covering a
wide area of ~60°. Employing the integrated analysis framework,
two kind of tsunamigenic contributions are identified, one arising
from direct ocean motion and another from atmospheric motion, both
associated with the tsunami forcing. Moreover, in spite of tsunami
waves are considerably subsidized with increasing epicentral
distance, the tsunamigenic contributions are retrieved from a far
away magnetic observatory at Australia. These results suggest that
various kinds of tsunamigenic disturbances can be well-identified
from the integrated analysis framework presented here.",
conference-location = "Santa Maria, RS",
conference-year = "05-09 nov",
language = "pt",
urlaccessdate = "03 jun. 2024"
}