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From Offshore to Onshore probabilistic tsunami hazard assessment with quantified uncertainty efficient Monte Carlo techniques.

Created 17/10/2025

Updated 17/10/2025

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Offshore probabilistic tsunami hazard assessments (PTHAs) are increasingly available for earthquake generated tsunamis. They provide standardized representations of tsunami scenarios, their uncertain occurrence-rates, and models of the deep ocean waveforms. To quantify onshore hazards it is natural to combine this information with a site-specific inundation model, but this is computationally challenging to do accurately, especially if accounting for uncertainties in the offshore PTHA. This study reviews an efficient Monte Carlo method recently proposed to solve this problem. The efficiency comes from preferential sampling of scenarios that are likely important near the site of interest, using a user-defined importance measure derived from the offshore PTHA. The theory of importance sampling enables this to be done without biasing the final results. Techniques are presented to help design and test Monte Carlo schemes for a site of interest (before inundation modelling) and to quantify errors in the final results (after inundation modelling). The methods are illustrated with examples from studies in Tongatapu and Western Australia. Abstract submitted/presented to the International Conference on Coastal Engineering (ICCE) 2022 - Sydney (https://icce2022.com/). Citation: Davies, G. (2023). FROM OFFSHORE TO ONSHORE PROBABILISTIC TSUNAMI HAZARD ASSESSMENT WITH QUANTIFIED UNCERTAINTY: EFFICIENT MONTE CARLO TECHNIQUES. Coastal Engineering Proceedings, (37), papers.18. https://doi.org/10.9753/icce.v37.papers.18

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Field Value
Title From Offshore to Onshore probabilistic tsunami hazard assessment with quantified uncertainty efficient Monte Carlo techniques.
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/en/dataset/694064ec-f8fc-4967-967d-de94bb3bbbc0
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 06/03/2023
Geospatial Coverage
Map data © OpenStreetMap contributors
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}
Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "From Offshore to Onshore probabilistic tsunami hazard assessment with quantified uncertainty efficient Monte Carlo techniques.". Please visit the source to access the original metadata of the dataset:
https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/from-offshore-to-onshore-probabilistic-tsunami-hazard-assessment-with-quantified-uncertainty-ef1