NBW: Computational Seismology: Narrowing the Gap Between Theory and Observations

Bernhard Schuberth (), Michael Ewald, Heiner Igel, Markus Treml, Haijiang Wang and Gilbert Brietzke
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Bernhard Schuberth: Ludwig-Maximilians-Universität München, Department für Geo- und Umweltwissenschaften, Bereich Geophysik
Michael Ewald: Ludwig-Maximilians-Universität München, Department für Geo- und Umweltwissenschaften, Bereich Geophysik
Heiner Igel: Ludwig-Maximilians-Universität München, Department für Geo- und Umweltwissenschaften, Bereich Geophysik
Markus Treml: Ludwig-Maximilians-Universität München, Department für Geo- und Umweltwissenschaften, Bereich Geophysik
Haijiang Wang: Ludwig-Maximilians-Universität München, Department für Geo- und Umweltwissenschaften, Bereich Geophysik
Gilbert Brietzke: Ludwig-Maximilians-Universität München, Department für Geo- und Umweltwissenschaften, Bereich Geophysik

A chapter in High Performance Computing in Science and Engineering, Garching 2004, 2005, pp 251-262 from Springer

Abstract: Abstract Numerical solutions to the problem of seismic wave propagation, that allow simulations of complete wave fields through 3D structures, are currently revolutionizing seismology and related fields. So far - in order to calculate theoretical seismograms in the observed frequency bands - one had to resort to solution methods with severe limitations (e.g., ray theoretical approximations, one-dimensional structures, perturbation theory, etc.). Only in the past few years, computational power has allowed us to simulate wave fields that can be directly compared to observations. Even though the computations still require substantial resources, the methodologies developed in the past decade are beginning to enter routine processing steps in all branches ranging from exploration seismics to global seismology. Here we present recent examples in global seismology (spectral element modeling of global wave propagation) and earthquake scenario simulations, their relation to shaking hazard estimation, and associated problems. The next decade will see fundamental changes in the way data fitting (inverse problem, parameter estimation) is done in seismology with the potential of advances in several fields of Earth Sciences.

Date: 2005
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DOI: 10.1007/3-540-28555-5_22

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