Seismic hazard modeling is a multidisciplinary science that aims to forecast earthquake
occurrence and its resultant ground shaking. Such models consist of a probabilistic …

Seismic hazard analyses (SHA) are routinely carried out around the world to understand the
hazard, and consequently the risk, posed by earthquake activity. Whether single scenario …

This article provides an overview of current applications of machine learning (ML) in
seismology. ML techniques are becoming increasingly widespread in seismology, with …

We develop semi-empirical ground motion models (GMMs) for peak ground acceleration,
peak ground velocity, and 5%-damped pseudo-spectral accelerations for periods from 0.01 …

Modern ground-motion prediction models use datasets of recorded ground-motion
parameters at multiple stations during different earthquakes and in various source regions to …

CyberShake, as part of the Southern California Earthquake Center's (SCEC) Community
Modeling Environment, is developing a methodology that explicitly incorporates …

To complement the new European Strong-Motion dataset and the ongoing efforts to update
the seismic hazard and risk assessment of Europe and Mediterranean regions, we propose …

Probabilistic seismic hazard analysis (PSHA) provides the conceptual framework for
estimating the likelihood that something of concern related to earthquake shaking will occur …

A set of region-specific ground-motion models (GMMs) for subduction zone earthquakes are
developed based on the database compiled by the Pacific Earthquake Engineering …

Determining the likelihood of a disaster is a key component of any comprehensive hazard
assessment. This is particularly true for tsunamis, even though most tsunami hazard …