Articles | Volume 21, issue 12
Research article
17 Dec 2021
Research article |  | 17 Dec 2021

Probabilistic, high-resolution tsunami predictions in northern Cascadia by exploiting sequential design for efficient emulation

Dimitra M. Salmanidou, Joakim Beck, Peter Pazak, and Serge Guillas

Data sets

The GEBCO_2019 Grid - a continuous terrain model of the global oceans and land GEBCO Bathymetric Compilation Group

1 arc-second for the United States and 3 arc-seconds for global coverage NASA Shuttle Radar Topography Mission (SRTM)

Bathymetric Data Viewer NOAA National Geophysical Data Centre

Model code and software

MOGP emulator The Alan Turing Institute, E. Daub, O. Strickson, and N. Barlow

Volna I. Reguly, D. Giles

Volna D. Giles

Short summary
The potential of large-magnitude earthquakes in Cascadia poses a significant threat over a populous region of North America. We use statistical emulation to assess the probabilistic tsunami hazard from such events in the region of the city of Victoria, British Columbia. The emulators are built following a sequential design approach for information gain over the input space. To predict the hazard at coastal locations of the region, two families of potential seabed deformation are considered.
Final-revised paper