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With the increasing precision of the GRAIL gravity field models and topography from LOLA, it is possible to investigate the substructure beneath crater Clavius. An admittance between gravity and topography data is commonly used to estimate selenophysical parameters, including load ratio, crustal thickness and density, and elastic thickness. Not only a surface load, but also a subsurface load is considered in estimation. The algorithm of particle swarm optimization (PSO) with a swarm size of 400 is employed as well. Results indicate that the observed admittance is best-fitted by the modeled admittance based on a spherical shell model, which was proved to be unsatisfactory in the previous study. The best-fitted load ratio f is around −0.194. Such a small load ratio conforms to the direct proportion between the nearly uncompensated topography and its corresponding negative gravity anomaly. It also indicates that a surface load dominates all the loads. Constrained within 2σSTD, a small crustal thickness (∼30 km) and a crustal density of ∼2587 kgm−3 are found, quite close to the results from previous GRAIL research. Considering the well constrained crustal thickness and density, the best-fitted elastic thickness (∼7 km) is rational. This result is slightly smaller than the previous study (∼12 km). Such difference can be attributed to the difference in crustal density used and the precision of gravity and topography data. Considering that the small difference between the modeled gravity anomaly and observations is quite small, a parameter inversed here could be an indicator of the subsurface structure beneath Clavius.

The aim of this paper is to present an integrated onshore Bouguer gravity anomaly map of Uruguay and a correlation with geological data. The Bouguer map is composed by data of stations acquired from 1950 to 2014 by several institutions. Moreover, using this gravity map and the crustal model CRUST1.0 (validated comparing the grid with the Moho recognized in long offset and long record length PSDM seismic profiles), several crustal domains are recognized and characterized. A previous attempt to integrate geophysical and geological data is shown in Hallinan et al. (1993).