3D joint inversion of gravity gradiometry and magnetic data in spherical coordinates with the cross-gradient constraint

Abstract

Earth observing satellites offer exciting new opportunities to study the large-scale regional or global lithospheric structures by producing reliable potential-field data sets including gravity, gravity gradiometry, and magnetic data that are publicly accessible. Joint inversions may offer an effective means of utilizing these different types of data to improve the construction lithospheric models. In this paper, we develop a joint inversion algorithm for satellite gravity gradiometry and magnetic data in the spherical coordinates for simultaneously constructing the density and susceptibility distributions in the lithosphere. Given the undetermined relationship between the two different physical properties, we apply the cross gradient to constrain the two recovered models so they structurally similar. We use a synthetic data example to illustrate the algorithm and its potential benefits. We will also demonstrate the algorithm by applications to field data sets in the presentation.