Data Publications

Grond - A probabilistic earthquake source inversion framework

hasData_Center_Short_Name
  • Deutsches GeoForschungsZentrum GFZ
hasDataset_Online_Resource
hasDataset_Release_Date
  • 2018
hasDataset_Title
  • Grond - A probabilistic earthquake source inversion framework
hasEntry_ID
  • 10.5880/GFZ.2.1.2018.003
hasKeyword
  • Earthquake modelling
  • Python
  • Surface displacement modelling
  • geological process > seismic activity > earthquake
  • Bayesian bootstrap
  • Earthquake source inversion
  • Earthquake source optimisation
  • InSAR modelling
  • Moment tensor inversion
  • Open source software
  • Waveform modelling
  • experiment > simulation > modelling
  • science > informatics > software
hasSummary
  • Grond is an open source software tool for robust characterization of earthquake sources. Moment tensors and finite fault rupture models can be estimated from a combination of seismic waveforms, waveform attributes and geodetic observations like InSAR and GNSS. It helps you to investigate diverse magmatic, tectonic, and other geophysical processes at all scales. It delivers meaningful model uncertainties through a Bayesian bootstrap-based probabilistic joint inversion scheme. The optimisation explores the full model space and maps model parameter trade-offs with a flexible design of objective functions. Rapid forward modelling is enabled by using pre-computed Green's function databases, handled through the Pyrocko software library. They serve synthetic near-field surface displacements and synthetic seismic waveforms for arbitrary earthquake source models and geometries.
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