Inverse Algorithm for Tsunami Forecasts

Wei, Yong; Cheung, Kwok Fai; Curtis, George D.; McCreery, Charles S.

doi:10.1061/(asce)0733-950x(2003)129:2(60)

Cited by 67 publications

(54 citation statements)

References 18 publications

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“…Titov et al (1999) discussed the use of the inverse approach to define the initial conditions for real-time simulation of trans-Pacific tsunamis. Wei et al (2001Wei et al ( , 2003) extended Satake's approach by using the predicted source parameters to determine the tsunami waveforms away from the source for warning and emergency management. Wei et al (2001Wei et al ( , 2003 developed the mareogram database for the Alaska-Aleutian source region based on the seismic data analysis of Johnson (1999).…”

Section: Tsunami Forecastmentioning

confidence: 99%

Forecast of Tsunamis from the Japan–Kuril–Kamchatka Source Region

et al. 2006

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This study investigates and defines the subfault distribution along the Japan-KurilKamchatka subduction zone for the implementation of a far-field tsunami forecast algorithm. Analyses of earthquakes with surface wave magnitude greater than 6.5 from years 1900 to 2000 define the subduction zone, which in turn is divided into 222 subfaults based on the distribution of the fault parameters. For unit slip of the subfaults, a linear long-wave model generates a database of mareograms at water-level stations in and around the subduction zone and at selected warning points away from the source. When a tsunami occurs, an inverse algorithm determines the slip distribution from near-source tsunami records and predicts the tsunami waveforms at the warning points using the precomputed mareograms. The jackknife resampling scheme uses various combinations of input tsunami records to provides a series of predictions for the computation of the confidence interval bounds. The inverse algorithm is applied to hindcast three major tsunamis generated from the Japan-Kuril-Kamchatka source and the computed tsunami heights show good agreement with recorded water-level data.iv

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Section: Tsunami Forecastmentioning

confidence: 99%

Forecast of Tsunamis from the Japan–Kuril–Kamchatka Source Region

et al. 2006

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“…Satake, 1987Chubarov and Shokin, 1995;Korolev and Poplavsky, 1995;Poplavsky et al, 1997;Voronina and Tcheverda, 1998;Wei et al, 2003;Titov et al, 2005;Yamazaki et al, 2006). However, only recent advances in tsunami measurement and numerical modeling technology made it possible to create effective tsunami forecasting systems.…”

Section: Introductionmentioning

confidence: 99%

An approximate method of short-term tsunami forecast and the hindcasting of some recent events

Korolev

2011

Nat. Hazards Earth Syst. Sci.

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Abstract. The paper presents a method for a short-term tsunami forecast based on sea level data from remote sites. This method is based on Green's function for the wave equation possessing the fundamental property of symmetry. This property is well known in acoustics and seismology as the reciprocity principle. Some applications of this principle on tsunami research are considered in the current study. Simple relationships and estimated transfer functions enabled us to simulate tsunami waveforms for any selected oceanic point based only on the source location and sea level data from a remote reference site. The important advantage of this method is that it is irrespective of the actual source mechanism (seismic, submarine landslide or other phenomena). The method was successfully applied to hindcast several recent tsunamis observed in the Northwest Pacific. The locations of the earthquake epicenters and the tsunami records from one of the NOAA DART sites were used as inputs for the modelling, while tsunami observations at other DART sites were used to verify the model. Tsunami waveforms for the 2006, 2007 and 2009 earthquake events near Simushir Island were simulated and found to be in good agreement with the observations. The correlation coefficients between the predicted and observed tsunami waveforms were from 0.50 to 0.85. Thus, the proposed method can be effectively used to simulate tsunami waveforms for the entire ocean and also for both regional and local tsunami warning services, assuming that they have access to the real-time sea level data from DART stations.

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“…His method was further used on the tsunami forecast (Wei et al, 2003;Yamazaki et al, 2005) and exploration of earthquake events with sea surface deformation (Pires and Miranda 2001;Baba et al, 2002Baba et al, , 2005Satake et al, 2005;Piatanesi and Lorito 2007). However, those implementations used very large unit sources such that the details of the tsunami profiles could not be described.…”

Section: Introductionmentioning

confidence: 99%

High resolution tsunami inversion for 2010 Chile earthquake

2011

Nat. Hazards Earth Syst. Sci.

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Abstract. We investigate the feasibility of inverting highresolution vertical seafloor displacement from tsunami waveforms. An inversion method named "SUTIM" (small unit tsunami inversion method) is developed to meet this goal. In addition to utilizing the conventional least-square inversion, this paper also enhances the inversion resolution by Grid-Shifting method. A smooth constraint is adopted to gain stability. After a series of validation and performance tests, SUTIM is used to study the 2010 Chile earthquake. Based upon data quality and azimuthal distribution, we select tsunami waveforms from 6 GLOSS stations and 1 DART buoy record. In total, 157 sub-faults are utilized for the highresolution inversion. The resolution reaches 10 sub-faults per wavelength. The result is compared with the distribution of the aftershocks and waveforms at each gauge location with very good agreement. The inversion result shows that the source profile features a non-uniform distribution of the seafloor displacement. The highly elevated vertical seafloor is mainly concentrated in two areas: one is located in the northern part of the epicentre, between 34 • S and 36 • S; the other is in the southern part, between 37 • S and 38 • S.

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Inverse Algorithm for Tsunami Forecasts

Cited by 67 publications

References 18 publications

Forecast of Tsunamis from the Japan–Kuril–Kamchatka Source Region

Forecast of Tsunamis from the Japan–Kuril–Kamchatka Source Region

An approximate method of short-term tsunami forecast and the hindcasting of some recent events

High resolution tsunami inversion for 2010 Chile earthquake

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