Gopinathan, D;
Venugopal, M;
Roy, D;
Rajendran, K;
Guillas, S;
Dias, F;
(2017)
Uncertainties in the 2004 Sumatra-Andaman source through nonlinear stochastic inversion of tsunami waves.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 473
(2205)
10.1098/rspa.2017.0353.
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Abstract
Numerical inversions for earthquake source parameters from tsunami wave data usually incorporate subjective elements to stabilize the search. In addition, noisy and possibly insufficient data result in instability and non-uniqueness in most deterministic inversions, which are barely acknowledged. Here, we employ the satellite altimetry data for the 2004 Sumatra–Andaman tsunami event to invert the source parameters. We also include kinematic parameters that improve the description of tsunami generation and propagation, especially near the source. Using a finite fault model that represents the extent of rupture and the geometry of the trench, we perform a new type of nonlinear joint inversion of the slips, rupture velocities and rise times with minimal a priori constraints. Despite persistently good waveform fits, large uncertainties in the joint parameter distribution constitute a remarkable feature of the inversion. These uncertainties suggest that objective inversion strategies should incorporate more sophisticated physical models of seabed deformation in order to significantly improve the performance of early warning systems.
| Type: | Article |
|---|---|
| Title: | Uncertainties in the 2004 Sumatra-Andaman source through nonlinear stochastic inversion of tsunami waves |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1098/rspa.2017.0353 |
| Publisher version: | http://dx.doi.org/10.1098/rspa.2017.0353 |
| Language: | English |
| Additional information: | © 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
| Keywords: | Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, tsunami simulation, earthquake source, inverse problem, uncertainty quantification, 1979 IMPERIAL-VALLEY, RUPTURE PROCESS, SOURCE MODEL, FORM DATA, EARTHQUAKE, OCEAN, IDENTIFICATION, TOMOGRAPHY, GENERATION, EMULATION |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10050930 |
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