Published September 7, 2023 | Version v0.1
Dataset Open

Aotearoa New Zealand RSQSim model outputs for tsunami modelling

  • 1. Victoria University of Wellington
  • 2. GNS Science
  • 3. NIWA
  • 4. University of Canterbury, GNS Science
  • 5. Columbia University
  • 6. University of Canterbury

Description

RSQSim model outputs to support the publication: "A Novel Method to Determine Probabilistic Tsunami Hazard using a Physics-based Synthetic Earthquake Catalog: a New Zealand Case Study" by Hughes et al. (2023; JGR, submitted). In many respects, these model outputs represent an updated version of the New Zealand RSQSim catalogue published by Shaw et al. (2022; doi.org/10.5281/zenodo.5534462).

This archive contains:

  1. The outputs of an updated RSQSim synthetic earthquake catalogue for Aotearoa-New Zealand.
  2. A ~30kyr subset of the main catalogue, trimmed to a minimum MW of 7.0.
  3. Summary figures comparing the statistical properties of the synthetic catalogue to observations of New Zealand seismicity.
  4. Python scripts for visualizing the synthetic earthquake catalogue, and calculating seafloor displacements from synthetic earthquakes that can be used as tsunami model inputs.

For more information, please refer to the publications cited above and/or the more detailed README files within the archive.

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aotearoa_nz_rsqsim_catalogue_for_tsunami.zip

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