One focus of our research is the development of new seismic methods to image the subsurface including methods for integrated interpretation. Currently, we are working on the following topics: Markov chain Monte Carlo refraction seismic tomography, Pn tomography and H/V analysis of submarine data.
Markov Chain Monte Carlo Tomography
We develop Markov chain Monte Carlo (McMC) methods fro inverting seismic travel time data. The main advantage of the methods is that it extensively samples the solution space and thus produces a velocity model as well as estimates of the uncertainties. In compared to conventional tomographic methods, no initial model is necessary, data errors are automatically estimated, and the parametrization is automatically adjusted.
Publications: Ryberg & Haberland, 2017
We developed a tomographic method to invert seismic Pn phases sampling Earth‘s uppermost mantle and applied the method to a controlled-source dataset from northern Namibia acquired within the DFG Priority Programme SPP SAMPLE. The analysis provide insight into the upper mantle of the landfall of the oceanic Walfish ridge, especially regarding the complex processes during continental break-up.
Projects: SPP SAMPLE
H/V analysis of submarine permafrost data
We showed that passive seismological measurements in the seafloor can be used to study the distribution and depth of the submarine permafrost layer. In particular, we use the H/V analysis of ambient seismic noise, which is well known from engineering seismology, in concert with specifically shallow water underwater seismic sensors.
Publications: Overduin et al., 2015