Grond

A probabilistic earthquake source inversion framework. Designed and crafted in Mordor.

Abstract

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.

Contents

• Installation
  • Manual installation (from source)
  • Updating a manual (from source) installation
  • Installation under Conda (Grond latest release package, from PyPI)
  • Installation with pip (Grond latest release package, from PyPI)
• Quickstart
  • A synthetic test
  • Next steps
• Overview
  • Project folder layout
  • Input data (observations)
  • Green’s function stores
  • Initializing a Grond project
  • Configuration
  • Optimisation
  • Results and visualisation
  • Terminology
• Example projects
  • Centroid moment tensor from regional surface wave observations
  • Centroid moment tensor from W-phase observations
  • Rectangular source plane from InSAR observations
  • Rectangular source plane from InSAR and GNSS observations
• Method
  • Forward modelling with pre-calculated Green’s functions
  • Objective function design
  • The bootstrap method
  • Optimisation
  • Movies: BABO at work
• Configuration
  • Configuration file structure and format (YAML)
  • Dataset
  • Targets
  • Problems
  • Analysers
  • Optimisers
• Report
  • Online example reports
  • Generating reports
  • Sharing a report on the local network
  • Sharing a report on the internet
  • Available plots
• Command line interface
  • scenario
  • init
  • events
  • check
  • go
  • forward
  • harvest
  • plot
  • movie
  • export
  • report
  • diff
  • qc-polarization
  • upgrade-config
  • version
• Library reference
  • dataset
  • targets
  • problems
  • optimisers
  • analysers

Community and support

Please use the Grond channel in the Pyrocko Hive for discussion and feedback. To file a bug report, please use the Issues page in our code repository.

Citation

The recommended citation for Grond is:

Heimann, Sebastian; Isken, Marius; Kühn, Daniela; Sudhaus, Henriette; Steinberg, Andreas; Vasyura-Bathke, Hannes; Daout, Simon; Cesca, Simone; Dahm, Torsten (2018): Grond - A probabilistic earthquake source inversion framework. V. 1.0. GFZ Data Services. https://doi.org/10.5880/GFZ.2.1.2018.003

Download BibTeX citatation file: CITATION.bib

See also:

• BibTeX citation file for Pyrocko: CITATIONS.bib

• On citation of pre-calculated Green’s functions, see: Pyrocko - Green’s Mill

License

Grond is licensed under the GPLv3.

Source code

The source code of Grond is hosted on git.pyrocko.org.

Contact

• Sebastian Heimann - sebastian.heimann@gfz-potsdam.de

• Marius Isken - marius.isken@gfz-potsdam.de

Indices and tables

• Index

• Module Index

• Search Page