- Ridgecrest california daily independent software#
- Ridgecrest california daily independent code#
- Ridgecrest california daily independent download#
A high resolution seismic catalog for the initial 2019 Ridgecrest earthquake sequence: foreshocks, aftershocks, and faulting complexity. Slip complementarity and triggering between the foreshock, mainshock, and afterslip of the 2019 Ridgecrest rupture sequence. Finite slip models of the 2019 Ridgecrest earthquake sequence constrained by space geodetic data and aftershock locations. Fault rerupture during the July 2019 Ridgecrest earthquake pair from joint slip inversion of InSAR, optical imagery, and GPS. Highly heterogeneous pore fluid pressure enabled rupture of orthogonal faults during the 2019 Ridgecrest M w7.0 earthquake.
Cascading and pulse-like ruptures during the 2019 Ridgecrest earthquakes in the Eastern California Shear Zone.
Conjugate faulting and structural complexity on the young fault system associated with the 2000 Tottori earthquake. Dynamic faulting on a conjugate fault system detected by near-fault tilt measurements. A fault-based model for crustal deformation, fault slip rates, and off-fault strain rate in California. Surface displacement distributions for the July 2019 Ridgecrest, California, earthquake ruptures. Complex multifault rupture during the 2016 M w 7.8 Kaikoura earthquake, New Zealand.
The 1992 Landers earthquake sequence: seismological observations. Hierarchical interlocked orthogonal faulting in the 2019 Ridgecrest earthquake sequence.
Ridgecrest california daily independent software#
We use the software SKUA-GOCAD ( ) as the modelling environment to produce all 3D fault models and the open-source software ParaView ( ) for visualization. Example problems and model configuration files are provided at, many of which reproduce the SCEC 3D Dynamic Rupture benchmark problems described at. Quickstart containerized installations and introductory materials are provided in the docker container and jupyter notebooks at. Instructions for setting up and running simulations are at. Downloading and compiling instructions are at.
Ridgecrest california daily independent code#
Instructions for downloading, installing and running the code are available in the SeisSol documentation at. The SeisSol Ridgecrest sequence branch is also available on GitHub ( ). The used SeisSol code branch and commit are archived at.
Ridgecrest california daily independent download#
We foresee that physics-based interpretation of big observational datasets will have a transformative impact on future geohazard mitigation.Īll dynamic rupture simulations were performed using SeisSol ( an open-source software freely available to download from. We demonstrate that a joint physics-based and data-driven approach can be used to determine the mechanics of complex fault systems and earthquake sequences when reconciling dense earthquake recordings, three-dimensional regional structure and stress models. We find that regional structure, ambient long- and short-term stress, and dynamic and static fault system interactions driven by overpressurized fluids and low dynamic friction are conjointly crucial to understand the dynamics and delays of the sequence. We explain strong-motion, teleseismic, field mapping, high-rate global positioning system and space geodetic datasets with earthquake physics. Our models use supercomputing to find the link between the two earthquakes.
Here we present data-assimilated three-dimensional dynamic rupture models of California’s biggest earthquakes in more than 20 years: the moment magnitude ( M w) 6.4 Searles Valley and M w 7.1 Ridgecrest sequence, which ruptured multiple segments of a non-vertical quasi-orthogonal conjugate fault system 1. Despite increasingly high-quality geodetic, seismic and field observations, data-driven earthquake imaging yields stark differences and physics-based models explaining all observed dynamic complexities are elusive. The observational difficulties and the complexity of earthquake physics have rendered seismic hazard assessment largely empirical.
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