Probabilistic Translation of Tsunami Inundation Depths across Tides

A statistical model for translating tsunami inundation simulations across different static tidal levels, developed to improve hazard assessments. The model uses simulations at a high sea level combined with limited lower-level runs to predict changes in inundation depth with uncertainty. The approach is demonstrated for a probabilistic tsunami hazard assessment of Geraldton in Western Australia.

Use Cases

• Improving static tide selection in tsunami hazard models based on the described censored statistical translation model.
• Assessing the impact of sea level rise on tsunami inundation by translating results from a high baseline tide.
• Evaluating hydrodynamic non-linearities in tsunami amplification near the inundation zone at different tidal levels.

Strengths

• Methodology addresses a specific computational burden in probabilistic hazard assessments requiring hundreds or thousands of scenarios.
• Model is demonstrated for a real-world case study in Geraldton, Western Australia, a region prone to tsunamis.
• Approach enables efficient approximation of different static tidal levels, including for sea level rise analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the single case study location.

Provenance

Source

Geoscience Australia Data

Collection Method

Likely contains results from hydrodynamic inundation modelling and statistical translation.

Freshness

Last updated 2026-03-25 15:32:48.736518; freshness should be verified.

Geography

Geraldton, Western Australia; tsunamis originating from the Sunda arc, Indonesia.