Emmy-Noether-Project "Bridging Geodesy and Seismology"

M.Sc. Andreas Steinberg

PhD student

Otto-Hahn-Platz 1, R. 208a
Phone: 0431-880-7155
andreas.steinberg@ifg.uni-kiel.de

Career

  • 2010-2013 B.Sc. in Geoscience at University Potsdam
  • 2013- 2016 M. Sc. at University Potsdam in Geophysics

 

Research Interests

  • Inversion modelling of geodetic (InSAR) and seismological data
  • Earthquake complexity and co-seismic rupture history
  • Earthquake cylce and sequence interactions

 

In my research i am interested in how earthquakes ruptures behave and how and why earthquakes develop complex ruptures in space and time.  Earthquake rupture behaves very differently in each case, sometimes propagation of the rupture occures across multiple fault planes with different geometries and sometimes it slows down/accelerates in different parts of the involved rupture area. I am interested in modelling this complex behaviour by using InSAR, GNSS and seismological data.  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 complex rupture behavior. In my Ph.D. i focus on continetal medium sized earthquakes to investigate if we can resolve their complex ruptures or if they do not exhibit such behavior. Also they are often neglected in studies but do have a significant impact on the hazard and as part of the seismic cycle.

As part of this project a code to asses the evolution of an earthquake rupture in time with a multi-array backprojection method has been developed, which is available on github: Palantiri

Publications

Interseismic and Postseismic Shallow Creep of the North Qaidam Thrust Faults Detected with a Multitemporal InSAR Analysis

A Python framework for efficient use of pre-computed Green's functions in seismological and other physical forward and inverse source problems

Pyrocko - An open-source seismology toolbox and library

Grond : A probabilistic earthquake source inversion framework

Kite—Software for rapid earthquake source optimisation from InSAR surface displacement

Prediction of common surface soil properties based on Vis-NIR airborne and simulated EnMAP imaging spectroscopy data: Prediction accuracy and influence of spatial resolution

Geofon

SRCMOD Database