PARTITIONED WAVE-FORM INVERSION AND 2-DIMENSIONAL STRUCTURE UNDER THE NETWORK OF AUTONOMOUSLY RECORDING SEISMOGRAPHS

Nonlinear optimization methods are very effective in finding models that predict optimal waveform fits to observed seismograms, provided the number of model parameters is small. To reduce the size of the large-scale two- or three-dimensional seismic modelling problem, path integrals over seismic velocities may be defined as model parameters instead of the seismic velocities themselves. A linear inversion performs the mapping from the space of path integral parameters into the model space of seismic velocities and makes Backus-Gilbert resolution analysis possible. The method has been applied to body wave and surface wave data from the broadband portable Network of Autonomously Recording Seismographs (NARs) in western Europe. -from Author