Tsunami versus storm surge: a brief review

Nirupama, N.

doi:10.1007/s11069-013-0697-8

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…A tsunami is a large spatial-scale gravity wave which can travel outward from the earthquake source toward all possible directions, but the initial main energy propagation is generally perpendicular to the direction of the subduction zone faulting (Nirupama, 2013). Far-field tsunamis associated with a single megathrust earthquake can be detected along an entire coastline even at tide gauges that may lie very far apart, with seismic moment, distance from earthquake source, and regional coastal morphology, among other factors, regulating the observed tsunami amplitude.…”

Section: Bayesian Hierarchical Modeling Of Tsunami Amplitudementioning

confidence: 99%

Bayesian Hierarchical Modeling for Probabilistic Estimation of Tsunami Amplitude From Far‐Field Earthquake Sources

Boumis,

Geist,

Lee

2023

JGR Oceans

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Evaluation of tsunami disaster risk for a coastal region requires reliable estimation of tsunami hazard, for example, wave amplitude close to the shore. Observed tsunami data are scarce and have poor spatial coverage, and for this reason probabilistic tsunami hazard analysis (PTHA) traditionally relies on numerical simulation of “synthetic” tsunami generation and propagation toward the coast. Such an approach has been extensively studied in the past and it is widely recognized as an important disaster‐risk mitigation tool. PTHA can not only provide less uncertain and spatially coherent hazard estimates in comparison with classical empirical data analysis which is restricted at the tide gauge stations, but also local inundation information. In this paper, we explore a purely statistical alternative to traditional PTHA for evaluation of tsunami amplitude hazard. Here, we use tide gauge measurements of tsunami amplitude along the western United States, specifically California and Oregon, and develop a spatial Bayesian hierarchical model (BHM) to assess tsunami hazard from far‐field earthquake sources at various recurrence intervals. The configuration of our model incorporates latent Gaussian fields that utilize information on the distance between tide gauges as well as on the continental shelf width, that is, a covariate linked to potential dissipative effects on wave energy as the tsunami travels over shallow water. Through our BHM, we produce spatially continuous probabilistic maps of far‐field tsunami hazard which can aid comprehensive tsunami disaster risk reduction and management.

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Section: Bayesian Hierarchical Modeling Of Tsunami Amplitudementioning

confidence: 99%

Bayesian Hierarchical Modeling for Probabilistic Estimation of Tsunami Amplitude From Far‐Field Earthquake Sources

Boumis,

Geist,

Lee

2023

JGR Oceans

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show abstract

“…When the seismic power imparts energy to sea water through movement of the sea floor, the 323 secondary event is a tsunami (Nirupama 2013). Even an earthquake with a relatively small 324 magnitude can generate large and widespread tsunamis (Kanamori 1972).…”

Section: Fig 2 Cascading Natural Disasters Categorised As "Striking"mentioning

confidence: 99%

Anatomy of cascading natural disasters in Japan: main modes and linkages

et al. 2015

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Records of the 5 March 2021 Raoul Island transoceanic tsunami around the Pacific Ocean

Roger

2023

New Zealand Journal of Geology and Geophysics

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Tsunami versus storm surge: a brief review

Cited by 4 publications

References 6 publications

Bayesian Hierarchical Modeling for Probabilistic Estimation of Tsunami Amplitude From Far‐Field Earthquake Sources

Bayesian Hierarchical Modeling for Probabilistic Estimation of Tsunami Amplitude From Far‐Field Earthquake Sources

Anatomy of cascading natural disasters in Japan: main modes and linkages

Records of the 5 March 2021 Raoul Island transoceanic tsunami around the Pacific Ocean

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