Moho depths for Antarctica Region by the inversion of ground-based gravity data

• Published in: Geophysical Journal International
• Main Author: Borghi, Alessandra
• Other Authors: INGV, CUP
• Format: Article in Journal/Newspaper
• Language: English
• Published: Oxford University Press (OUP) 2022
• Subjects: Geochemistry and Petrology; Geophysics; Antarctic; Antarc*; Antarctica; International Polar Year; IPY
• Online Access: http://dx.doi.org/10.1093/gji/ggac249; https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggac249/44308793/ggac249.pdf; https://academic.oup.com/gji/article-pdf/231/2/1404/45228109/ggac249.pdf

SUMMARY In the last years the scientific literature has been enriched with new models of the Moho depth in the Antarctica Continent derived by the seismic reflection technique and refraction profiles, receiver functions and seismic surface waves, but also by gravimetric observations over the continent. In particular, the gravity satellite missions of the last two decades have provided data in this remote region of the Earth and have allowed the investigation of the crust properties. Meanwhile, other important contributions in this direction has been given by the fourth International Polar Year (IPY, 2007–2008) which started seismographic and geodetic networks of unprecedented duration and scale, including airborne gravimetry over largely unexplored Antarctic frontiers. In this study, a new model for the Antarctica Moho depths is proposed. This new estimation is based on no satellite gravity measures, thanks to the availability of the gravity database ANTGG2015, that collects gravity data from ground-base, airborne and shipborne campaigns. In this new estimate of the Moho depths the contribution of the gravity measures has been maximized reducing any correction of the gravity measures and avoiding constraints of the solution to seismological observations and to geological evidence. With this approach a pure gravimetric solution has been determined. The model obtained is pretty in agreement with other Moho models and thanks to the use of independent data it can be exploited also for cross-validating different Moho depths solutions.