Amploc: A Complete Python Workflow for Amplitude-Based Locations
Year: 2026
Type: article
Abstract: Amplitude-based locations are well suited for characterizing long-duration seismic sources that may migrate with time, such as debris flows, avalanches, rockfall, and volcanic tremor. Although amplitude-based location methods have existed for decades, their adoption in real-time monitoring systems remains limited. We present a complete Python-based workflow that includes station corrections, amplitude-based location algorithms, and interactive review tools that are appropriate for real-time use. The algorithms themselves are not new; however, Amploc integrates several previously published methods into a unified operational framework. The workflow also introduces a browser-based graphical interface that allows users to review real-time location results using formats familiar to many observatories. By integrating calibration, location algorithms, and visualization tools, Amploc lowers the barrier to operational use of amplitude-based locations and improves characterization of phenomena that inform hazard assessments such as long-period earthquakes, volcanic tremor, and debris flows.
Source: Seismological Research Letters
DOI: 10.1785/0220260128
Authors: Weston Thelen, Noah Harper
Institutions: United States Geological Survey, Cascades Volcano Observatory
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204542981