Tsunami source uncertainty estimation: the 2011 Japan tsunami
This article was published in the Journal of Geophysical Research: Solid Earth [©2016 American Geophysical Union] and the definite version is available at : http://dx.doi.org/10.1002/2015JB012764 The Journal's website is at: http://onlinelibrary.wiley.com/doi/10.1002/2015JB012764/abstract;jsess...
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10361-70702016-12-01T09:48:29Z Tsunami source uncertainty estimation: the 2011 Japan tsunami Dettmer, Jan Hawkins, Rhys Cummins, Phil R. Hossen, Jakir Sambridge, Malcolm Hino, Ryota Inazu, Daisuke Department of Mathematics and Natural Sciences, BRAC University Bayesian Transdimensional Tsunami source Uncertainty This article was published in the Journal of Geophysical Research: Solid Earth [©2016 American Geophysical Union] and the definite version is available at : http://dx.doi.org/10.1002/2015JB012764 The Journal's website is at: http://onlinelibrary.wiley.com/doi/10.1002/2015JB012764/abstract;jsessionid=BF5813B61924FB094F31BC8F213840A1.f02t04 This paper studies the initial sea surface displacement and its uncertainty after an earthquake based on tsunami waveforms. The spatial distribution is inferred with a Bayesian approach that provides probabilities that are interpreted as uncertainties of the displaced sea surface. The parameterization is nonlinear and treats apparent rupture velocity as unknown but assumes rise time to be fixed at 30 s. Importantly, the spatial complexity of the source is constrained by observations using a transdimensional algorithm based on a wavelet decomposition of the displacement field. In this approach, the number of wavelet coefficients is an unknown random variable that is also estimated as part of the inversion. The resulting parameterization is parsimonious in that it can adapt to the spatially varying source complexity while being consistent with the information in the tsunami waveforms. In this way, the resolution of displacement varies across the source region with more parameters introduced for parts of the source that are resolved well by the data and/or have significant complexity. The noise level (standard deviation) at each gauge is initially treated as unknown to estimate data covariance matrices. These matrices are applied in subsequent inversion and include unknown scaling which eliminates the requirement to assume station weights and accounts for temporally correlated waveform noise. The method is applied to waveforms recorded during the 2011 Japan Tsunami and results show high resolution (low uncertainty) in most parts of the source region and a previously unreported level of source detail. In particular, the main peak of the source is elongated trench parallel and shows a well-resolved bimodal finger-like feature in the northern source region that closely follows the trench. Published 2016-12-01T09:46:35Z 2016-12-01T09:46:35Z 2016 Article Dettmer, J., Hawkins, R., Cummins, P. R., Hossen, J., Sambridge, M., Hino, R., & Inazu, D. (2016). Tsunami source uncertainty estimation: The 2011 japan tsunami. Journal of Geophysical Research: Solid Earth, 121(6), 4483-4505. doi:10.1002/2015JB012764 21699313 http://hdl.handle.net/10361/7070 http://dx.doi.org/10.1002/2015JB012764 en http://onlinelibrary.wiley.com/doi/10.1002/2015JB012764/abstract;jsessionid=BF5813B61924FB094F31BC8F213840A1.f02t04 © 2016 Blackwell Publishing Ltd |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Bayesian Transdimensional Tsunami source Uncertainty |
spellingShingle |
Bayesian Transdimensional Tsunami source Uncertainty Dettmer, Jan Hawkins, Rhys Cummins, Phil R. Hossen, Jakir Sambridge, Malcolm Hino, Ryota Inazu, Daisuke Tsunami source uncertainty estimation: the 2011 Japan tsunami |
description |
This article was published in the Journal of Geophysical Research: Solid Earth [©2016 American Geophysical Union] and the definite version is available at : http://dx.doi.org/10.1002/2015JB012764 The Journal's website is at: http://onlinelibrary.wiley.com/doi/10.1002/2015JB012764/abstract;jsessionid=BF5813B61924FB094F31BC8F213840A1.f02t04 |
author2 |
Department of Mathematics and Natural Sciences, BRAC University |
author_facet |
Department of Mathematics and Natural Sciences, BRAC University Dettmer, Jan Hawkins, Rhys Cummins, Phil R. Hossen, Jakir Sambridge, Malcolm Hino, Ryota Inazu, Daisuke |
format |
Article |
author |
Dettmer, Jan Hawkins, Rhys Cummins, Phil R. Hossen, Jakir Sambridge, Malcolm Hino, Ryota Inazu, Daisuke |
author_sort |
Dettmer, Jan |
title |
Tsunami source uncertainty estimation: the 2011 Japan tsunami |
title_short |
Tsunami source uncertainty estimation: the 2011 Japan tsunami |
title_full |
Tsunami source uncertainty estimation: the 2011 Japan tsunami |
title_fullStr |
Tsunami source uncertainty estimation: the 2011 Japan tsunami |
title_full_unstemmed |
Tsunami source uncertainty estimation: the 2011 Japan tsunami |
title_sort |
tsunami source uncertainty estimation: the 2011 japan tsunami |
publisher |
© 2016 Blackwell Publishing Ltd |
publishDate |
2016 |
url |
http://hdl.handle.net/10361/7070 http://dx.doi.org/10.1002/2015JB012764 |
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