Emmy-Noether-Projekt "Brückenschlag zwischen Geodäsie und Seismologie"

Research interests


 

I am mostly interested in studying earthquake sources and in methodological developments to improve our estimations. I have further an interest and record in volcano-related deformation processes.

My expertise is in space-borne SAR (Synthetic Aperture RADAR) data processing and analysis. In these InSAR data I am primarily looking at crustal deformation signals as caused by larger and/or shallow earthquakes.

Using these data of measurable surface displacement I am analysing the properties of the earthquake sources and I try to improve our techniques methodological. One of my specialties here is the detailed consideration of data errors in the analysis and the error propagation to estimate the model qualities.

I also try, where possible, to combine different instrumental data sets to better constrain the models. Where possible I am using as many InSAR and SAR data as possible, GPS if available, and more and more seismic data. For the latter, the combination of geodetic and seismic data, we work in the Bridges-Group with special force on the methods how to best join these very different data types

Geofon

SRCMOD - Database

    • Inversion modelling of geodetic (InSAR) and seismological data
    • earthquake slip complexity and co-seismic rupture history
    • Connecting earthquake models to observations
    • Kinematic earthquake source inversion

     

    In my research i am interested in how earthquakes ruptures behave and how and why earthquakes develop complex ruptures in space and time. Complex means that the earthquake ruptures e.g. across multiple fault planes with different geometries or slows down/accelerates in different areas. We know that earthquakes rupture with different degrees of complexity and we believe that larger earthquake rupture in more complex ways. This would however violate the common assumption of self-similarity of earthquakes across magnitudes. Often the choice of the modeled degree of complexity is however dependent on expert knowledge. Therefore i am looking for data driven ways to help us evaluate possibly rupture segmentation. Also I focus on small to medium sized earthquakes to investigate if we can resolve any complex ruptures from them or if they do not exhibit such behavior. I am using InSAR, GPS and seismological data.

    To asses the evolution of an earthquake rupture in time i have developed a multi-array backprojection code, which is available on github: Palantiri