Short-Term Tectonics Working Group priorities for Mar 2013 - Jan 2018.
We have another virtual workshop scheduled for June 2013. It will coincide with the release of PyLith 2.0 and will focus on intermediate and advanced topics. We solicit ideas from users on additional online training.
We envision plug-ins for various inversion methods, including Bayesian approaches.
Need a scientist to lead this effort. Responsibilities would involve getting funding, assembling a development team (might include a CIG developer), and overseeing software development.
Resolve the entire seismic cycle in simulations that capture interseismic deformation, rupture nucleation and propagation, and postseismic deformation with realistic Earth models (geometrical complexity, material heterogeneity, and inelastic rheologies). Constraints on fault and bulk rheologies that are consistent with extensive geodetic, seismic, and geologic observations are critical to understanding the behavior of fault systems and improving the accuracy and precision of earthquake hazard assessments.
Integrate modeling tectonic processes with heat and fluid flow, thereby enabling complex rheologies with temperature dependent parameters. Incorporating heat and fluid flow into tectonic modeling significantly expands the range of problems that can be addressed (such as seismic tremor in geothermal areas) and permits direct application of additional geophysical constraints. Viscoelastic, elastoplastic, and viscoplastic rheologies are important for bridging between seismic and tectonic time scales.
Constrain the bulk rheologies of the crust using geodetic and geologic observations of deformation arising from glacial rebound, reservoir impounding, and other surface loads.
Need to assess the applicability and implications of using currently available and emerging computational techniques for earthquake modeling. Techniques may impose undesirable limitations on the geometry of the domain (e.g., topography) and faults or may introduce severe ill-conditioning of the system.
Efficiently resolve evolving small length scale features through local refinement and coarsening of the mesh.
Data assimilation aids in quantifying the uncertainty in parameters based on observations.
Generate optimized code for solution of specific problems using high-level tools
Finite-element discretization techniques that permit resolution of dislocations and material boundaries within a structured grid. This would permit a structured mesh in problems with complex, nonplanar geometry.
Introduction of multiple spatial and temporal scales through homogenization. Resolution of multiple time scales through slow/fast timescale coupling.
Streamline problem workflow using tools to manage inputs and outputs of the various stages of modeling (creating the geologic model, meshing the domain, simulating the physics, and post-processing the results).
Provide funding for expert users to work with code developers to add new features to community codes in order to solve specific research problems.