Uncertainties in the 2004 Sumatra--Andaman source through nonlinear stochastic inversion of tsunami waves.
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| Title: | Uncertainties in the 2004 Sumatra--Andaman source through nonlinear stochastic inversion of tsunami waves. |
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| Authors: | Gopinathan, D.1 d.gopinathan@ucl.ac.uk, Venugopal, M.2, Roy, D.3, Rajendran, K.4, Guillas, S.1, Dias, F.5 |
| Source: | Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences. Sep2017, Vol. 473 Issue 2205, p1-24. 24p. |
| Subjects: | Tsunamis, Inversion (Geophysics), Uncertainty, Nonlinear analysis, Altimetry, Stochastic analysis |
| Geographic Terms: | Sumatra (Indonesia) |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences is the property of Royal Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 125753251 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Uncertainties in the 2004 Sumatra--Andaman source through nonlinear stochastic inversion of tsunami waves. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gopinathan%2C+D%2E%22">Gopinathan, D.</searchLink><relatesTo>1</relatesTo><i> d.gopinathan@ucl.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Venugopal%2C+M%2E%22">Venugopal, M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Roy%2C+D%2E%22">Roy, D.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Rajendran%2C+K%2E%22">Rajendran, K.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Guillas%2C+S%2E%22">Guillas, S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dias%2C+F%2E%22">Dias, F.</searchLink><relatesTo>5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Proceedings+of+the+Royal+Society+A%3A+Mathematical%2C+Physical+%26+Engineering+Sciences%22">Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences</searchLink>. Sep2017, Vol. 473 Issue 2205, p1-24. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Tsunamis%22">Tsunamis</searchLink><br /><searchLink fieldCode="DE" term="%22Inversion+%28Geophysics%29%22">Inversion (Geophysics)</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty%22">Uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+analysis%22">Nonlinear analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Altimetry%22">Altimetry</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+analysis%22">Stochastic analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Sumatra+%28Indonesia%29%22">Sumatra (Indonesia)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences is the property of Royal Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1098/rspa.2017.0353 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1 Subjects: – SubjectFull: Tsunamis Type: general – SubjectFull: Inversion (Geophysics) Type: general – SubjectFull: Uncertainty Type: general – SubjectFull: Nonlinear analysis Type: general – SubjectFull: Altimetry Type: general – SubjectFull: Stochastic analysis Type: general – SubjectFull: Sumatra (Indonesia) Type: general Titles: – TitleFull: Uncertainties in the 2004 Sumatra--Andaman source through nonlinear stochastic inversion of tsunami waves. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gopinathan, D. – PersonEntity: Name: NameFull: Venugopal, M. – PersonEntity: Name: NameFull: Roy, D. – PersonEntity: Name: NameFull: Rajendran, K. – PersonEntity: Name: NameFull: Guillas, S. – PersonEntity: Name: NameFull: Dias, F. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 13645021 Numbering: – Type: volume Value: 473 – Type: issue Value: 2205 Titles: – TitleFull: Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences Type: main |
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