Articles | Volume 10, issue 6
https://doi.org/10.5194/se-10-1921-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-10-1921-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
CORRESPONDING AUTHOR
GFZ German Research Centre for Geosciences, Potsdam, Germany
Hannes Vasyura-Bathke
Division of Physical Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Institute for Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany
Henriette Sudhaus
Institute for Geoscience, University of Kiel, Kiel, Germany
Marius Paul Isken
Institute for Geoscience, University of Kiel, Kiel, Germany
GFZ German Research Centre for Geosciences, Potsdam, Germany
Marius Kriegerowski
Institute for Geoscience, University of Kiel, Kiel, Germany
Institute for Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany
Andreas Steinberg
Institute for Geoscience, University of Kiel, Kiel, Germany
Torsten Dahm
GFZ German Research Centre for Geosciences, Potsdam, Germany
Institute for Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany
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Cited
16 citations as recorded by crossref.
- Magnitude of the 1920 Haiyuan Earthquake Reestimated Using Seismological and Geomorphological Methods Q. Ou et al. 10.1029/2019JB019244
- Transtensional Rupture within a Diffuse Plate Boundary Zone during the 2020 Mw 6.4 Puerto Rico Earthquake R. Viltres et al. 10.1785/0220210261
- A self-similar dynamic rupture model based on the simplified wave-rupture analogy T. Dahm et al. 10.1093/gji/ggab045
- Fast and Robust Earthquake Source Spectra and Moment Magnitudes from Envelope Inversion T. Eulenfeld et al. 10.1785/0120210200
- Estimation of Seismic Moment Tensors Using Variational Inference Machine Learning A. Steinberg et al. 10.1029/2021JB022685
- The Bayesian Earthquake Analysis Tool H. Vasyura-Bathke et al. 10.1785/0220190075
- Introducing noisi: a Python tool for ambient noise cross-correlation modeling and noise source inversion L. Ermert et al. 10.5194/se-11-1597-2020
- The 2019 Eruption Dynamics and Morphology at Ebeko Volcano Monitored by Unoccupied Aircraft Systems (UAS) and Field Stations T. Walter et al. 10.3390/rs12121961
- Simultaneous Bayesian Estimation of Non‐Planar Fault Geometry and Spatially‐Variable Slip R. Dutta et al. 10.1029/2020JB020441
- LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity M. Lazecký et al. 10.3390/rs12152430
- Regional centroid moment tensor inversion of small to moderate earthquakes in the Alps using the dense AlpArray seismic network: challenges and seismotectonic insights G. Petersen et al. 10.5194/se-12-1233-2021
- Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, The Netherlands, Part 1: Testing D. Kühn et al. 10.1785/0120200099
- Towards reconciling seismic and geodetic moment estimations: Case Bárðarbunga R. Contreras-Arratia & J. Neuberg 10.1016/j.jvolgeores.2020.107034
- The 2019–2020 Khalili (Iran) Earthquake Sequence—Anthropogenic Seismicity in the Zagros Simply Folded Belt? M. Jamalreyhani et al. 10.1029/2021JB022797
- Accounting for theory errors with empirical Bayesian noise models in nonlinear centroid moment tensor estimation H. Vasyura-Bathke et al. 10.1093/gji/ggab034
- A multibranch, multitarget neural network for rapid point-source inversion in a microseismic environment: examples from the Hengill Geothermal Field, Iceland N. Nooshiri et al. 10.1093/gji/ggab511
16 citations as recorded by crossref.
- Magnitude of the 1920 Haiyuan Earthquake Reestimated Using Seismological and Geomorphological Methods Q. Ou et al. 10.1029/2019JB019244
- Transtensional Rupture within a Diffuse Plate Boundary Zone during the 2020 Mw 6.4 Puerto Rico Earthquake R. Viltres et al. 10.1785/0220210261
- A self-similar dynamic rupture model based on the simplified wave-rupture analogy T. Dahm et al. 10.1093/gji/ggab045
- Fast and Robust Earthquake Source Spectra and Moment Magnitudes from Envelope Inversion T. Eulenfeld et al. 10.1785/0120210200
- Estimation of Seismic Moment Tensors Using Variational Inference Machine Learning A. Steinberg et al. 10.1029/2021JB022685
- The Bayesian Earthquake Analysis Tool H. Vasyura-Bathke et al. 10.1785/0220190075
- Introducing noisi: a Python tool for ambient noise cross-correlation modeling and noise source inversion L. Ermert et al. 10.5194/se-11-1597-2020
- The 2019 Eruption Dynamics and Morphology at Ebeko Volcano Monitored by Unoccupied Aircraft Systems (UAS) and Field Stations T. Walter et al. 10.3390/rs12121961
- Simultaneous Bayesian Estimation of Non‐Planar Fault Geometry and Spatially‐Variable Slip R. Dutta et al. 10.1029/2020JB020441
- LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity M. Lazecký et al. 10.3390/rs12152430
- Regional centroid moment tensor inversion of small to moderate earthquakes in the Alps using the dense AlpArray seismic network: challenges and seismotectonic insights G. Petersen et al. 10.5194/se-12-1233-2021
- Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, The Netherlands, Part 1: Testing D. Kühn et al. 10.1785/0120200099
- Towards reconciling seismic and geodetic moment estimations: Case Bárðarbunga R. Contreras-Arratia & J. Neuberg 10.1016/j.jvolgeores.2020.107034
- The 2019–2020 Khalili (Iran) Earthquake Sequence—Anthropogenic Seismicity in the Zagros Simply Folded Belt? M. Jamalreyhani et al. 10.1029/2021JB022797
- Accounting for theory errors with empirical Bayesian noise models in nonlinear centroid moment tensor estimation H. Vasyura-Bathke et al. 10.1093/gji/ggab034
- A multibranch, multitarget neural network for rapid point-source inversion in a microseismic environment: examples from the Hengill Geothermal Field, Iceland N. Nooshiri et al. 10.1093/gji/ggab511
Latest update: 08 Jun 2023
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.
We present an open-source software framework for fast and flexible forward modelling of seismic...
