Supporting data for the paper "Bridging Paleoseismic and Geodetic Observations for the AD 1700 Cascadia Earthquake with an Earthquake Cycle Model"

DOI:10.4121/268bb608-098e-4461-9552-9f3a19b467b2.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/268bb608-098e-4461-9552-9f3a19b467b2
Datacite citation style:
Qin, Weilun; Govers, Rob; Barlow, Natasha; D'Acquisto, Mario; Riva, Riccardo (2024): Supporting data for the paper "Bridging Paleoseismic and Geodetic Observations for the AD 1700 Cascadia Earthquake with an Earthquake Cycle Model". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/268bb608-098e-4461-9552-9f3a19b467b2.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version:
version 2 - 2024-12-30 (latest)
version 1 - 2024-05-30

This repository contains the model input mesh file and model data output files for the figures in the main body of the paper "Bridging Paleoseismic and Geodetic Observations for the AD 1700 Cascadia Earthquake with an Earthquake Cycle Model", by Weilun Qin, Rob Govers, Natasha L.M. Barlow, and Riccardo E.M. Riva submitted for publication in Geophysical Research Letters.

For the finite element meshes of the numerical models, we utilized the mesh generator program Gmsh (Geuzaine & Remacle, 2009). For visualization, we employed the Generic Mapping Tools (Wessel et al., 2019) and Microsoft PowerPoint. The finite element modeling package, GTECTON, is available for scientific use upon request to R. Govers (r.govers@uu.nl). 

For more information regarding the model geometry and output, please contact W. Qin (w.qin@tudelft.nl).

History

  • 2024-05-30 first online
  • 2024-12-30 published, posted

Publisher

4TU.ResearchData

Format

.dat (model output data), .msh (input mesh file)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Remote Sensing

DATA

Files (7)