Applying probabilistic methods to infrequent but devastating natural events is intrinsically
challenging. For tsunami analyses, a suite of geophysical assessments should be in …

Destructive tsunamis are most often generated by large earthquakes occurring at subduction
interfaces, but also other “atypical” sources—defined as crustal earthquakes and non …

Scenario ruptures and ground motion simulation are important tools for studies of expected
earthquake and tsunami hazards during future events. This is particularly important for large …

Abstract Although infrequent, large (Mw7. 5+) earthquakes can be extremely damaging and
occur on subduction and intraplate faults worldwide. Earthquake early warning (EEW) …

We have explored various different machine learning (ML) approaches for forecasting
tsunami amplitudes at a set of forecast points, based on hypothetical short-time observations …

Abstract Global Navigation Satellite Systems (GNSS)‐based earthquake early warning
(EEW) algorithms estimate fault finiteness and unsaturated moment magnitude for the …

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 natural phenomena that, although occasional, can have large impacts on
coastal environments and settlements, especially in terms of loss of life. An accurate …

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 …

Here, we revisit the issue of slip distributions modeled as spatially random fields. For each
earthquake in the US Geological Survey's database of finite‐fault models (M 7–9), we …