High-Performance Computing; Seismology; Computational Seismology; Adjoint Methods; Spectral-Element Modelling; Seismic Tomography; Ambient Seismic Noise
Paitz Patrick, Sager Korbinian, Fichtner Andreas (2019), Rotation and strain ambient noise interferometry, in Geophysical Journal International
, 216(3), 1938-1952.
NakataNori, GualtieriLucia, FichtnerAndreas (2019), Seismic Ambient Noise
, Cambridge University Press, Cambridge, UK.
FichtnerAndreas, TsaiVictor (2019), Theoretical Foundations of Noise Interferometry, Cambridge University Press, Cambridge, UK, 109.
Sager Korbinian, Boehm Christian, Ermert Laura, Krischer Lion, Fichtner Andreas (2018), Sensitivity of Seismic Noise Correlation Functions to Global Noise Sources, in Journal of Geophysical Research: Solid Earth
Fichtner Andreas, van Herwaarden Dirk-Philip, Afanasiev Michael, Simutė Saulė, Krischer Lion, Çubuk-Sabuncu Yeşim, Taymaz Tuncay, Colli Lorenzo, Saygin Erdinc, Villaseñor Antonio, Trampert Jeannot, Cupillard Paul, Bunge Hans-Peter, Igel Heiner (2018), The Collaborative Seismic Earth Model: Generation 1, in Geophysical Research Letters
, 45(9), 4007-4016.
Sager Korbinian, Ermert Laura, Boehm Christian, Fichtner Andreas (2018), Towards full waveform ambient noise inversion, in Geophysical Journal International
, 212(1), 566-590.
Ermert Laura, Sager Korbinian, Afanasiev Michael, Boehm Christian, Fichtner Andreas (2017), Ambient Seismic Source Inversion in a Heterogeneous Earth: Theory and Application to the Earth's Hum, in Journal of Geophysical Research: Solid Earth
, 122(11), 9184-9207.
Delaney Evan, Ermert Laura, Sager Korbinian, Kritski Alexander, Bussat Sascha, Fichtner Andreas (2017), Passive seismic monitoring with nonstationary noise sources, in Geophysics
, 82, KS57-KS70.
Fichtner Andreas, Stehly Laurent, Ermert Laura, Boehm Christian (2016), Generalized interferometry – I: theory for interstation correlations, in Geophysical Journal International
, 208(2), 603-638.
Ermert Laura, Villasenor Antonio, Fichtner Andreas (2016), Cross-correlation imaging of ambient noise sources, in Geophysical Journal International
, 204, 347-364.
Afanasiev M., Peter D., Sager K., Simut S., Ermert L., Krischer L., Fichtner A. (2015), Foundations for a multiscale collaborative Earth model, in Geophysical Journal International
, 204(1), 39-58.
FichtnerAndreas, AfanasievMichael, SagerKorbinian, ErmertLaura (2015), Multi-scale/multi-data inversion for elastic Earth structure: A concept, in Proc. 5th Int. Conf. on Computational Methods in Structural Dynamics and Earthquake Engineering
, National Technical University of Athens, Athens.
Fichtner Andreas (2015), Source-structure trade-offs in ambient noise correlations, in Geophysical Journal International
, 202, 678-694.
Fichtner Andreas (2014), Source and processing effects on noise correlations, in Geophysical Journal International
, 197, 1527-1531.
Fichtner Andreas, Ermert Laura, Gokhberg Alexey, Seismic noise correlation on heterogeneous supercomputers, in Seismological Research Letters
We propose to develop and apply a full seismic waveform inversion of microseismic and long-period (‘hum’) noise correlations for both 3D Earth structure and the geographic power-spectral distribution of ambient noise sources. This is intended to (i) constrain the details of Earth structure in regions that are poorly covered by earthquake data, (ii) improve our understanding of the mechanical coupling between the atmosphere, oceans and the solid Earth, and (iii) provide the scientific community with a large openly accessible data base of inter-station noise correlations in a broad frequency range.Combining spectral-element modelling of wave propagation, adjoint techniques and multi-scale methods, we will be able to drop the assumption that inter-station noise correlations equal Greens functions. This will allow us to exploit the full information contained in correlation functions, thereby going beyond the traditional analysis of fundamental-mode surface waves only. Our full waveform technology will produce more accurate Earth models for regions that are poorly covered by earthquake data. These regions include the east coast of the Americas, northern and eastern Europe, western and southern Africa, as well as central and western Australia.Furthermore, our noise source inversion will refine models of microseismic noise generation based on wave height models; and it will shed new light onto the coupling processes between the atmosphere, the oceans and the solid Earth that are responsible for the excitation of ambient seismic noise.An integral part of our developments will be the construction of a massive, openly accessible data base of noise correlations that exploits modern high-performance computing (HPC) capacity for large-scale data processing. Via a web portal, this data base will serve the scientific community, promoting seismic noise related research on solid Earth structure, ocean and atmosphere dynamics - especially at institutions where large HPC infrastructures are not available.The proposed research will be supported by an international team of experts in seismic modelling and inversion, high-performance computing, seismic noise generation, and large-scale data processing. Long-term application support and computational resources are provided by the Swiss National Supercomputing Centre, in order to ensure sustained impact on and benefit for the scientific community.