How can we construct a Likelihood function for non-Gaussian noise on seismic waveforms? Turns out that the dependable Correlation Coefficient follows a log-normal distribution, so we can use that.

Stähler, S. C., K. Sigloch, Fully probabilistic seismic source inversion – Part 2: Modelling errors and station covariances, in public review for Solid Earth

Overview of OBS performance in the RHUM-RUM project, especially in comparison between the German (DEPAS) and the French (INSU) seismometers.

Stähler, S. C., Sigloch, K., Hosseini, K.,
Crawford, W. C., Barruol, G., Schmidt-Aursch, M. C., Tsekhmistrenko, M.,
Scholz, J.-R., Mazzullo, A., and Deen, M.: Performance report of the
RHUM-RUM ocean bottom seismometer network around La Réunion, western
Indian Ocean, Adv. Geosci., 41, 43-63, doi:10.5194/adgeo-41-43-2016,
2016.

Analysing seismograms of the deep Okhotsk earthquake, we can show that the late coda is dominated by waves traveling in great-circle direction. The coda is not equipartioned and cannot be easily used for correlation analysis.

Sens-Schönfelder, C., R. Snieder, and S. C. Stähler (2015), The Lack of Equipartitioning in Global Body Wave Coda, Geophys. Res. Lett., 42,

doi:10.1002/2015GL065108.

This paper deals with the inverse problem of seismic point source inversion. It describes an efficient parametrization to invert for earthquake depth, moment tensor and source time function using Bayesian inference with Malcolm Sambridge's Neighbourhood Algorithm.

Stähler, S. C. and K. Sigloch (2014): Fully probabilistic seismic source inversion – Part 1: Efficient parametrisation, Solid Earth, 5, 1055-1069

doi:10.5194/se-5-1055-2014

Instaseis is a Python library to calculate broadband seismograms for arbitrary source-receiver configurations, including finite faults and single forces from a stored AxiSEM wavefield.

van Driel, M., Krischer, L., Stähler, S. C., Hosseini, K., and Nissen-Meyer, T. (2015). Instaseis: instant global seismograms based on a broadband waveform database

Solid Earth, 6, 701-717

doi:10.5194/se-6-701-2015

This is a release paper for the axially-symmetric spectral element solver AxiSEM. Use it to generate global seismograms for up to 1 Hz.

Nissen-Meyer, T., M. van Driel, S. C. Stähler, K. Hosseini, S. Hempel, L. Auer, A. Colombi, and A. Fournier (2014): AxiSEM: broadband 3-D seismic wavefields in axisymmetric media, Solid Earth, 5, 425-445,

doi:10.5194/se-5-425-2014

P-waves from distances between 1000 and 3000 km contain a lot of information about the upper mantle and the transition zone. We show a way to use them for finite-frequency tomography.

Stähler, S. C., K. Sigloch, and T. Nissen-Meyer (2012), Triplicated P-wave measurements for waveform tomography of the mantle transition zone, Solid Earth, 3(2), 339-354,

doi:10.5194/se-3-339-2012.

Coda waves contain information about a large volume around the source and receiver. We use that method to monitor stress changes in a bridge during construction.

Stähler, S. C., E. Niederleithinger, and C. Sens-Schönfelder (2011), Monitoring stress changes in a concrete bridge with coda wave interferometry, Journal of the Acoustical Society of America, 129(4), 1945-1952,

doi:10.1121/1.3553226.

My doctoral advisor and a great scientist.

Collaboration on finite-frequency tomography, especially on Northern America using triplicated P-waves and the Réunion hotspot.

her site

Kasra will be the first to use M.C. Kernel for a seismic tomography, based on his extensive P and Pdiff dataset

his site

Mechita runs the German national OBS pool DEPAS. We collaborate on estimating the noise level of the DEPAS' OBS and what to do about it.

her site

Collaboration on the AxiSEM spectral element code and sensitivity kernels for seismic tomography.

his site

Earthquake-free seismology. Using seismic signals created from ocean waves, trucks or just anything for monitoring.

Steve creates thermodynamically consistent interior models of icy moons in the outer solar system. Combined with AxiSEM, we can calculate their seismic response.

his site