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
| 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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- The Effects of Layer-Induced Elastic Anisotropy on Microseismic Monitoring Records in Underground Coal Mines L. Malovichko 10.1007/s00024-024-03441-z
54 citations as recorded by crossref.
- Magnitude of the 1920 Haiyuan Earthquake Reestimated Using Seismological and Geomorphological Methods Q. Ou et al. 10.1029/2019JB019244
- Source analysis of low frequency seismicity at Mt. Vesuvius by a hybrid moment tensor inversion R. Manzo et al. 10.1016/j.jvolgeores.2024.108173
- Chronicle of Processes Leading to the 2018 Eruption at Mt. Etna As Inferred by Seismic Ambient Noise Along With Geophysical and Geochemical Observables P. Büyükakpınar et al. 10.1029/2022JB025024
- Multidisciplinary analyses of the rupture characteristic of the June 14, 2020, Mw 5.9 Kaynarpınar (Karlıova, Bingöl) earthquake reveal N70E-striking active faults along the Yedisu Seismic Gap of the North Anatolian Fault Zone K. Akbayram et al. 10.1007/s00531-022-02256-4
- Anti-repeating earthquakes and how to explain them S. Cesca et al. 10.1038/s43247-024-01290-1
- Rupture process of the 2019 Mw 6.8 Davao Del Sur earthquake, Philippines from geodetic and seismic data I. Casallas et al. 10.1080/19475705.2024.2416522
- Analysis of the 2021 Milford, Utah earthquake swarm: Enhanced earthquake catalog and migration patterns K. Whidden et al. 10.3389/feart.2023.1057982
- The January 2022 Hunga Volcano explosive eruption from the multitechnological perspective of CTBT monitoring S. Donner et al. 10.1093/gji/ggad204
- Moment Tensor and Stress Field Inversions of Mining-Induced Seismicity in A Thick-Hard Roof Zone C. Song et al. 10.1007/s00603-023-03650-3
- Bayesian estimation of non-linear centroid moment tensors using multiple seismic data sets M. Hamidbeygi et al. 10.1093/gji/ggad397
- Bayesian Inversion of Finite‐Fault Earthquake Slip Model Using Geodetic Data, Solving for Non‐Planar Fault Geometry, Variable Slip, and Data Weighting G. Wei et al. 10.1029/2022JB025225
- The 2019–2020 Khalili (Iran) Earthquake Sequence—Anthropogenic Seismicity in the Zagros Simply Folded Belt? M. Jamalreyhani et al. 10.1029/2021JB022797
- Stress transmission along mid-crustal faults highlighted by the 2021 Mw 6.5 San Juan (Argentina) earthquake J. Ammirati et al. 10.1038/s41598-022-22752-6
- Insight into the 2017–2019 Lurestan arc seismic sequence (Zagros, Iran); complex earthquake interaction in the basement and sediments M. Jamalreyhani et al. 10.1093/gji/ggac057
- Crustal deformation from GNSS measurement and earthquake mechanism along Pieniny Klippen Belt, Southern Poland K. Ansari et al. 10.1007/s12517-024-11983-8
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- Using teleseismic backprojection and InSAR to obtain segmentation information for large earthquakes: a case study of the 2016Mw 6.6 Muji earthquake A. Steinberg et al. 10.1093/gji/ggac392
- Moment tensor inversion of mining-induced seismic events and forward modeling of critical fault slip to prevent rockbursts J. Song et al. 10.1016/j.jrmge.2024.07.001
- Unexpected far-field deformation of the 2023 Kahramanmaraş earthquakes revealed by space geodesy S. Ergintav et al. 10.1126/science.ado4220
- Imaging sub-caldera structure with local seismicity, Okataina Volcanic Centre, Taupo Volcanic Zone, using double-difference seismic tomography S. Bannister et al. 10.1016/j.jvolgeores.2022.107653
- The Bayesian Earthquake Analysis Tool H. Vasyura-Bathke et al. 10.1785/0220190075
- Application of Bayesian method for mining-induced tremors: A case study of the Xinjulong coal mine in China J. Song et al. 10.1016/j.ijrmms.2023.105635
- 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
- LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity M. Lazecký et al. 10.3390/rs12152430
- 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
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- Estimation of Seismic Moment Tensors Using Variational Inference Machine Learning A. Steinberg et al. 10.1029/2021JB022685
- A new automated procedure to obtain reliable moment tensor solutions of small to moderate earthquakes (3.0 ≤ M ≤ 5.5) in the Bayesian framework Y. Halauwet et al. 10.1093/gji/ggae309
- The 16 September 2023 Greenland Megatsunami: Analysis and Modeling of the Source and a Week-Long, Monochromatic Seismic Signal A. Carrillo-Ponce et al. 10.1785/0320240013
- Small‐Magnitude Seismic Swarms in Central Utah (US): Interactions of Regional Tectonics, Local Structures and Hydrothermal Systems G. Petersen & K. Pankow 10.1029/2023GC010867
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- A Hybrid Deep Learning Model for Rapid Probabilistic Earthquake Source Parameter Estimation With Displacement Waveforms From a Flexible Set of Seismic or HR-GNSS Stations X. Lin et al. 10.1109/TGRS.2023.3334729
- A Wavelet-Domain Seismic Source Inversion Method for Submarine Earthquakes Based on 3-D Green’s Functions W. Liu et al. 10.1109/TGRS.2024.3434389
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- Transtensional Rupture within a Diffuse Plate Boundary Zone during the 2020 Mw 6.4 Puerto Rico Earthquake R. Viltres et al. 10.1785/0220210261
- Volcanic and Seismic Source Modeling: An Open Tool for Geodetic Data Modeling E. Trasatti 10.3389/feart.2022.917222
- Massive earthquake swarm driven by magmatic intrusion at the Bransfield Strait, Antarctica S. Cesca et al. 10.1038/s43247-022-00418-5
- The link between gas extraction and shallow seismicity around the Dalan gas field of Zagros Mountains, Iran M. Hassanzadeh et al. 10.1016/j.pepi.2024.107246
- Spatial time cluster analysis and earthquake mechanism for unknown active fault (Kalatoa fault) in the Flores Sea A. Simanjuntak & K. Ansari 10.1007/s12145-023-01067-8
- Deep Neural Networks Based Denoising of Regional Seismic Waveforms and Impact on Analysis of North Korean Nuclear Tests A. Steinberg et al. 10.1007/s00024-024-03491-3
- 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
- Simultaneous Bayesian Estimation of Non‐Planar Fault Geometry and Spatially‐Variable Slip R. Dutta et al. 10.1029/2020JB020441
- Seismic source analysis of two anomalous earthquakes in Northern Chile C. Tassara et al. 10.1016/j.jsames.2022.103948
- Accelerating low-frequency ground motion simulation for finite fault sources using neural networks L. Lehmann et al. 10.1093/gji/ggad239
- Characteristics of Earthquake Mechanisms Along the Andaman - Nicobar Region derived from Bayesian Moment Tensor Inversion M. Gunarya et al. 10.1088/1755-1315/1373/1/012064
2 citations as recorded by crossref.
- A Deeper Look Into the 2021 Tyrnavos Earthquake Sequence (TES) Reveals Coseismic Breaching of an Unrecognized Large‐Scale Fault Relay Zone in Continental Greece V. Mouslopoulou et al. 10.1029/2022TC007453
- The Effects of Layer-Induced Elastic Anisotropy on Microseismic Monitoring Records in Underground Coal Mines L. Malovichko 10.1007/s00024-024-03441-z
Latest update: 21 Nov 2024
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...
