Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To
prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis …

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

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 …

Inundation maps are a fundamental tool for coastal risk management and in particular for
designing evacuation maps and evacuation planning. These in turn are a necessary …

This paper develops a tsunami inundation model, filling the current void between industry
applied simplified methods (bathtub and attenuation) and comprehensive numerical …

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

Probabilistic tsunami inundation assessment ordinarily requires many inundation
simulations that consider various uncertainties; thus, the computational cost is very high. In …

The ionosphere is characterized by a large number of disturbances generated in response
to a wide range of phenomena, including natural hazards, space weather and man‐made …

Estimating coastal tsunami impact for early-warning or long-term hazard analysis requires
the calculation of inundation metrics such as flow-depth or momentum flux. Both applications …

A simplified model using 1D topobathymetric profiles for generating tsunami inundation
maps is implemented and evaluated. The approach is a modification of the ASCE Energy …