Forward Modelling

Developing the forward modeling ingredients to the inverse problem.
Defining optimal strategies for geophysical model description with complex geometries (e.g., GOCAD).
Computational grid generation for efficient wavefield calculations.
Adapting novel numerical approaches to the seismic wave propagation problem.
Defining optimal solutions (best practices) for specific problems (e.g., in terms of numerical approach, problem scale, computational grid type).
Development of appropriate rheologies for structural and source inverse problems (e.g., anisotropy, poroelasticity, nonlinear strains).

(leader in bold)

T2.1 Identification of forward solutions to be engineered towards efficient, multi-platform use on HPC systems (LMU, all partners)
T2.2 Standardization of input and output formats for Earth models and data (LMU, all partners)
T2.3 Benchmarks for forward modelling (CUB, LMU, SCR, OGS)
T2.4 Generation of synthetic test data sets for inverse problems on all scales (LMU, IPG, SCR, CUB)
T2.5 Development, testing, and application of material property averaging schemes for near-surface and internal 3-D structures (IPG, LMU, CUB, UP)