Computing Gravity Bouguer Anomalies

This methodology involves computing gravity Bouguer anomalies and performing Moho surface relief inversion primarily through the Parker density method. The Parker density method represents a fundamental geophysical technique for inverting Bouguer anomalies to estimate subsurface density distributions. Implementation typically involves spectral domain calculations where the gravity field is computed using Parker's forward modeling algorithm, which operates through Fourier transforms to efficiently handle irregular density interfaces. Key computational steps include: - Calculating the Bouguer anomaly by removing terrain and elevation effects from observed gravity data - Implementing Parker's iterative inversion algorithm to estimate density contrasts - Using frequency-domain approaches to solve for interface depths based on density variations The Moho surface (crust-mantle boundary) estimation leverages this inversion technique, where Moho depth serves as a critical parameter for analyzing regional tectonic structures and geological evolution. The inversion process typically involves constraining solutions with known geological information and may incorporate regularization methods to stabilize results. This integrated approach of Bouguer anomaly calculation and Parker method inversion provides essential insights into Earth's subsurface architecture, with applications ranging from resource exploration to crustal studies. Code implementation often utilizes specialized geophysical libraries handling Fourier transformations and matrix operations for efficient computation of gravity responses.