Christophe Zaroli

Teaching @ EOST:

• Mathematics & computer science (applied to geophysics).

Research @ ITES:

• Seismology.
• Development of new seismic tomography methods (SOLA–Backus–Gilbert inversion).
• Focus on imaging (deep) Earth’s interior using body-wave, surface-wave & normal-mode data.

My research — recent years:

• I have recently introduced and adapted the SOLA method to solve various, large scale, linear(ized), discrete and continuous, tomographic problems (Zaroli, 2016, 2019).
• I have proposed to call this: SOLA-Backus-Gilbert tomography (for short: SOLA tomography :-)
• That is, the SOLA method (Subtractive Optimally Localized Averages; Pijpers & Thompson, 1992) is a slight variant of Backus-Gilbert inverse theory (Backus & Gilbert, 1967).

Some advantages of SOLA tomography:

• Models are accompanied with information on their resolution and uncertainty.
• Direct control on resolution/uncertainty.
• No a priori constraints on model parameters (but on model resolution).
• Models can be free of averaging-bias effects, and fit the data.
• Data-kernels can be fully exploited (if no model space discretization)
• Natural framework for tomographic-geodynamic comparisons.