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, 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.
Watch my talk on SOLA tomography (Collège de France, Paris, 2021):
- Global Seismic Tomography Using SOLA-Backus-Gilbert Inversion (24 min, YouTube)
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)