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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 3, issue 5
Nat. Hazards Earth Syst. Sci., 3, 341–351, 2003
https://doi.org/10.5194/nhess-3-341-2003
© Author(s) 2003. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

Special issue: Tsunamis

Nat. Hazards Earth Syst. Sci., 3, 341–351, 2003
https://doi.org/10.5194/nhess-3-341-2003
© Author(s) 2003. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  31 Oct 2003

31 Oct 2003

Sensitivity of the adjoint method in the inversion of tsunami source parameters

C. Pires and P. M. A. Miranda C. Pires and P. M. A. Miranda
  • Department of Physics and Centro de Geofisica, University of Lisbon, Campo Grande, 1749-016, Lisbon, Portugal

Abstract. This paper tests a methodology for tsunami wave-form inversion, based on the adjoint method. The method is designed to perform the direct optimization of the tsunami fault parameters, from tide-gauge data, imposing strong geophysical constrains to the inverted solutions, leading to a substantial enhancement of the signal-to-noise ratio, when compared with the classical technique based on Green’s functions of the linear long-wave model. A 4-step inversion proce-dure, which can be fully automated, consists (i) in the source area delimitation by adjoint backward ray-tracing, (ii) ad-joint optimization of the initial sea state, from a vanishing first-guess, (iii) non-linear adjustment of the fault model and (iv) final adjoint optimization in the fault parameter space. That methodology is systematically tested with four different idealized bathymetry and coastline setups (flat bathymetry in an open domain, closed conical circular lake, islands in an open domain and submarine mountains in an open domain) and different amounts of synthetic observation data, and of observational and bathymetric errors. Results show that the method works well in the presence of reasonable amounts of error and it provides, as a by-product, a resolution matrix that contains information on the inversion error, identifying the combinations of source parameters that are best and worst resolved by the inversion

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