Articles | Volume 10, issue 6
Method article
11 Nov 2019
Method article |  | 11 Nov 2019

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

Sebastian Heimann, Hannes Vasyura-Bathke, Henriette Sudhaus, Marius Paul Isken, Marius Kriegerowski, Andreas Steinberg, and Torsten Dahm

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Cited articles

Aki, K. and Richards, P. G.: Quantitative Seismology, University Science Books, 2nd Edn., available at: (last access: 25 October 2019), 2002. a, b, c
Blewitt, G., Hammond, W., and Kreemer, C.: Harnessing the GPS data explosion for interdisciplinary science, EOS, 99,, 2018. a
Brüstle, W. and Müller, G.: Moment and duration of shallow earthquakes from Love-wave modelling for regional distances, Phys. Earth Planet. In., 32, 312–324,, 1983. a
Cannell, D. M. and Lord, N. J.: George Green, Mathematician and Physicist 1793–1841, Math. Gaz., 77, 26–51, 1993. a
Cesca, S., Heimann, S., Kriegerowski, M., Saul, J., and Dahm, T.: Moment Tensor Inversion for Nuclear Explosions: What Can We Learn from the 6 January and 9 September 2016 Nuclear Tests, North Korea?, Seismol. Res. Lett., 88, 300–310,, 2017. a
Short summary
We present an open-source software framework for fast and flexible forward modelling of seismic and acoustic wave phenomena and elastic deformation. It supports a wide range of applications across volcanology, seismology, and geodesy to study earthquakes, volcanic processes, landslides, explosions, mine collapses, ground shaking, and aseismic faulting. The framework stimulates reproducible research and open science through the exchange of pre-calculated Green's functions on an open platform.