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.
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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- Analysis of the 2021 Milford, Utah earthquake swarm: Enhanced earthquake catalog and migration patterns K. Whidden et al. 10.3389/feart.2023.1057982
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42 citations as recorded by crossref.
- Magnitude of the 1920 Haiyuan Earthquake Reestimated Using Seismological and Geomorphological Methods Q. Ou et al. 10.1029/2019JB019244
- Heralds of Future Volcanism: Swarms of Microseismicity Beneath the Submarine Kolumbo Volcano Indicate Opening of Near‐Vertical Fractures Exploited by Ascending Melts F. Schmid et al. 10.1029/2022GC010420
- 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
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- Bayesian inference elucidates fault-system anatomy and resurgent earthquakes induced by continuing saltwater disposal H. Vasyura-Bathke et al. 10.1038/s43247-023-01064-1
- Anti-repeating earthquakes and how to explain them S. Cesca et al. 10.1038/s43247-024-01290-1
- Fast and Robust Earthquake Source Spectra and Moment Magnitudes from Envelope Inversion T. Eulenfeld et al. 10.1785/0120210200
- Source Parameters of the Mw 5.7 Pica Crustal Earthquake in Northern Chile C. Herrera et al. 10.1785/0220220001
- Estimation of Seismic Moment Tensors Using Variational Inference Machine Learning A. Steinberg et al. 10.1029/2021JB022685
- Analysis of the 2021 Milford, Utah earthquake swarm: Enhanced earthquake catalog and migration patterns K. Whidden et al. 10.3389/feart.2023.1057982
- Small‐Magnitude Seismic Swarms in Central Utah (US): Interactions of Regional Tectonics, Local Structures and Hydrothermal Systems G. Petersen & K. Pankow 10.1029/2023GC010867
- 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
- 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
- Bayesian estimation of non-linear centroid moment tensors using multiple seismic data sets M. Hamidbeygi et al. 10.1093/gji/ggad397
- 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
- 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
- An Improved Rock Damage Characterization Method Based on the Shortest Travel Time Optimization with Active Acoustic Testing J. Zhou et al. 10.3390/math12010161
- 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
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- Surface deformations and gravity changes caused by pressurized finite ellipsoidal cavities M. Nikkhoo & E. Rivalta 10.1093/gji/ggac351
- Seismic and Tsunamigenic Characteristics of a Multimodal Rupture of Rapid and Slow Stages: The Example of the Complex 12 August 2021 South Sandwich Earthquake M. Metz et al. 10.1029/2022JB024646
- 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
- A self-similar dynamic rupture model based on the simplified wave-rupture analogy T. Dahm et al. 10.1093/gji/ggab045
- Massive earthquake swarm driven by magmatic intrusion at the Bransfield Strait, Antarctica S. Cesca et al. 10.1038/s43247-022-00418-5
- 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
- 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
- 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
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- 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
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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
Latest update: 19 Apr 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...