Gauss curvature-based unique signatures of individual large earthquakes and its implications for customized data-driven prediction.

ABSTRACT: Statistical descriptions of earthquakes offer important probabilistic information, and newly emerging technologies of high-precision observations and machine learning collectively advance our knowledge regarding complex earthquake behaviors. Still, there remains a formidable knowledge gap for predicting individual large earthquakes' locations and magnitudes. Here, this study shows that the individual large earthquakes may have unique signatures that can be represented by new high-dimensional features-Gauss curvature-based coordinates. Particularly, the observed earthquake catalog data are transformed into a number of pseudo physics quantities (i.e., energy, power, vorticity, and Laplacian) which turn into smooth surface-like information via spatio-temporal convolution, giving rise to the n

SUBMITTER: Cho IH 

PROVIDER: S-EPMC9127126 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature