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

Repeated large-magnitude earthquakes in a tectonically active, low-strain continental interior: the northern Tien Shan, Kyrgyzstan
Landgraf A., Dzhumabaeva A., Abdrakhmatov K.E., Strecker M. R., Macaulay E. A., Arrowsmith J. R., Sudhaus H., Preusser F., Rugel G. and Merchel S., (2016).
InSAR Sensitivity Analysis of Tandem-L Mission for Modeling Volcanic and Seismic Deformation Sources
Ansari, H., Goel K., Parizzi A., Sudhaus, H., Adam, N., and Eineder, M., (2015)
Satellite radar data reveal short-term pre-explosive displacements and a complex conduit system at Volcán de Colima, Mexico
Salzer, J. T., Nikkhoo, M., Walter,T. R., Sudhaus, H., G. Reyes-Dávila, H. G., Bretón, M. and R. Arambula-Mendoza (2014).
Strain partitioning at the eastern Pamir-Alai revealed through SAR data analysis of the 2008 Nura earthquake
Teshebaeva, K., Sudhaus, H., Echtler, H., Schurr, B. and S. Roessner (2014)
An active ring fault detected at Tendürek volcano by using InSAR
Bathke, H., Sudhaus, H., Holohan, E.P., Walter T.R. and Shirzaei, M., (2013).
Reliability of Coulomb Stress Changes inferred from correlated uncertainties of finite-fault source models
Woessner J., S. Jónsson S., Sudhaus H. and Baumann C., (2012).
Source model for the 1997 Zirkuh earthquake (MW=7.2) in Iran derived from JERS and ERS InSAR observations
Sudhaus, H. and S. Jónsson (2011).
Improved source modeling through combined use of InSAR and GPS under consideration of correlated data errors: Application to the June 2000 Kleifarvatn earthquake Iceland
Sudhaus, H. and S. Jónsson (2009)
Broadband frequency-dependent amplification of seismic waves across Bucharest, Romania
Sudhaus, H. and J. R. R. Ritter (2009)
Characterization of small local noise sources with array seismology
Ritter, J. R. R. and H. Sudhaus (2007)
High-resolution measurement of the seismic attenuation across the Vrancea region, Romania
Sudhaus, H. and J. R. R. Ritter (2005)
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