The world's largest and densest tsunami observing system gives us the leverage to develop
a method for a real-time tsunami inundation prediction based on machine learning. Our …

In seismically active regions with variable dominant focal mechanisms, there is considerable
tsunami inundation height uncertainty. Basic earthquake source parameters such as dip …

The homogenous slip finite fault model is commonly used in tsunami hazards for a variety of
applications. These include early warning and short-term forecasts of tsunami amplitudes …

Tsunamis are one of the most destructive disasters in the ocean. Large tsunamis are mostly
generated by earthquakes, and they can propagate across the ocean without significantly …

Abstract Probabilistic Tsunami Hazard Assessment (PTHA) often proceeds by constructing a
suite of hypothetical earthquake scenarios, and modelling their tsunamis and occurrence …

This study presents robust algorithms for tsunami early warning using synthetic tsunami
wave data at ocean bottom sensor (OBS) arrays with sequential multiple linear regression …

This study tests three models for generating stochastic earthquake-tsunami scenarios on
subduction zones by comparison with deep ocean observations from 18 tsunamis during the …

A new risk-based tsunami early warning method is developed using Random Forest (RF)
with an extensive tsunami monitoring network (S-net) deployed off the Northeastern region …

SUMMARY Offshore Probabilistic Tsunami Hazard Assessments (offshore PTHAs) provide
large-scale analyses of earthquake-tsunami frequencies and uncertainties in the deep …

Abstract A Probabilistic Tsunami Hazard Assessment (PTHA) study on the Chinese
Mainland and the Taiwan Island was conducted. Characterized by broad and shallow …