Christophe Zaroli

Home page of Dr. Christophe Zaroli

Lecturer at the University of Strasbourg — Maître de conférences, HDR

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, 20162019).
  • 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.

Watch my talk on SOLA tomography (Collège de France, Paris, 2021):

Publications related to SOLA tomography:

  • Zaroli, 2016, GJI (download)
  • Zaroli, Koelemeijer, Lambotte, 2017, GRL (download)
  • Voronin & Zaroli, 2018, InTechOpen Book (download)
  • Zaroli, 2019, GJI (download)
  • Freissler (MSc student), Zaroli, Lambotte, Schuberth, 2020, GJI (download)
  • Latallerie (PhD student), Zaroli, Lambotte, Maggi, 2022, GJI (download)

Example of SOLA tomography:

  • Global tomographic model SOLA-Z16 — available on SubMachine (web-based tools for exploring models).
  • This image (HAL), of SOLA-Z16, shows 3-D positive S-wave velocity anomalies (%) in mid lower-mantle: