Emmy-Noether-Project "Bridging Geodesy and Seismology"

Deep-rooted joint use of space-geodetic and teleseismic data to characterize crustal earthquakes as finite rupture processes globally

 

Seismic waveforms and surface displacement data have slightly different constraints on earthquake source characteristics
H. SudhausSeismic waveforms and surface displacement data have somewhat different constraints on earthquake source characteristics.

 

Today, we regularly use joined data sets of near-field geodetic displacement data and far-field seismic waveform data for earthquake source models, but this combination is never truly 'deep-rooted'.

Usually a source inference starts with a first-order source model using one single data set, e.g, an inferred moment tensor, or with a simple dislocation model from GNSS or InSAR data or using aftershock locations for rupture plane inferences.

The reason is that the inverse problem at this stage is non-linear and common non-linear modelling algorithms for the different data are not existing. From these first-order models source properties are taken to further analyse data for higher-order source models including more data.
The final models are usually very dependent from the first inferences and model biases and parameter trade-offs are inherited. For this reason we often find different solution for the same earthquake when using different data sets and or different models, which is in quantitative science very unsatisfying.

In the SRCMOD data base different earthquake source models can be compared.

In our project we develop a common modelling framework for near-field and far-field data, which will enable a data combination from the beginning. This development is done within the framework of the open-source pyrocko software project in partnership with the German Research Centre of Geosciences GFZ in Potsdam

Geofon

SRCMOD Database