Computationally Efficient Emulation of Spheroidal Elastic Deformation Sources Using Machine Learning Models: A Gaussian‐Process‐Based Approach

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 3
• Main Authors: Anderson, Kyle R., Gu, Mengyang
• Format: Journal Article
• Language: English
• Published: 01.09.2024
• Subjects: crustal deformation; emulator; geodesy; spheroidal cavity; surrogate model; volcano deformation

Elastic continuum mechanical models are widely used to compute deformations due to pressure changes in buried cavities, such as magma reservoirs. In general, analytical models are fast but can be inaccurate as they do not correctly satisfy boundary conditions for many geometries, while numerical mod...