Computational technology and strategy for large-scale high-accuracy gravity modeling

Abstract

The modeling and inversion of the large-scale gravity field is the basis for exploring the density structure and geodynamics of the deep Earth. For this reason, the realization of fast, large-scale gravity modeling has been a hot topic in recent years. By integrating horizontal adaptive subdivision and the radial extension technique, this paper investigates the combination of computational technology and strategy with the goal of enhancing the accuracy and efficiency of large-scale gravity modeling. This study also employs the computational strategy that combines mixed-resolution digital elevation models with the above techniques. This strategy significantly improves efficiency without compromising accuracy. The computational technology and strategy proposed in this paper provide a novel approach for facilitating high-accuracy gravity modeling on a large scale.