API src

Found 4 results.

Moment tensor inversion report for the 2018 West Bohemia earthquake swarm

The interactive web page contains supplementary information to Fast and robust earthquake source spectra and moment magnitudes from envelope inversion, Eulenfeld et al. 2021, submitted. It aggregates centroid moment tensor (CMT) inversion results for selected events from the mid-crustal earthquake swarm in the granitic Bohemian massive near Nový Kostel in 2018. Magnitudes of the events are in the range Mw 1.8 - 3.6. The analysis has been performed using the Grond software package (Heimann et al., 2018).

Moment tensor inversion testing report on hydrocarbon-induced seismicity in the Groningen gas field, the Netherlands

This interactive webpage contains supplementary information for the publication by Kühn et al. 2020: "Probabilistic moment tensor inversion for hydrocarbon-induced seismicity in the Groningen gas field, the Netherlands, part 1: testing". It allows for an easy comparison between the various tests of inversion parameters and velocity models described for the analysis of the 11th of March 2017 Zeerijp ML 2.1 earthquake on the event induced in the Groningen gas field (Netherlands). Inversion runs collected here comprise the parameters employed for inversion (Problem Config), the inversion results and error estimates (Parameter Results) as well as a multitude of figures.

Source Inversion Report On The 24 January 2020 Mw 6.8 Elazığ-Sivrice Earthquake

This interactive webpage contains supplementary information for the publication by Jamalreyhani et al., 2020: Seismicity related to the eastern sector of Anatolian escape tectonics: A seismic gap partly filled by the 24 January 2020 Mw 6.8 Elazığ-Sivrice earthquake.

Grond - A probabilistic earthquake source inversion framework

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.

1