Probabilistic Tsunami Hazard Analysis: High Performance Computing for Massive Scale Monte Carlo type Inundation Simulations | ChEESE - Centre of Excellence for Exascale Supercomputing in the area of the Solid Earth

Type of publication

Abstract

Year of publication

2020

Publisher

EGU

Link to the publication

https://ui.adsabs.harvard.edu/abs/2020EGUGA..22.8041G/abstract

Authors

Steven J. Gibbons, Manuel J.Castro Díaz, Sylfest Glimsdal, Carl Bonnevie Harbitz, Maria Concetta Lorenzino, Stefano Lorito, Finn Løvholt, Massimo Nazaria, Fabrizio Romano, Jorge Macías Sánchez, Jacopo Selva, Roberto Tonini, José Manuel González Vida, Manuela Volpe and Malte Vöge

Citation

Gibbons et al.(2020) Gibbons, S.J., et al. Probabilistic Tsunami Hazard Analysis: High Performance Computing for Massive Scale Monte Carlo type Inundation Simulations. EGU General Assembly Conference Abstracts 8041.

Short summary

Probabilistic Tsunami Hazard Analysis (PTHA) is an approach to quantifying the likelihood of exceeding a specified metric of tsunami inundation at a given location within a given time interval.