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A Curated Pacific Northwest Seismic Dataset

Description: 

The Pacific Northwest (PNW) region of the United States is a dynamic tectonic plate boundary between the North American continental plate and the Juan de Fuca oceanic plate. The active margin between the two plates is a subduction zone that hosts a wide range of earthquake, near surface, and volcanic behaviors.

The curation of seismic data and metadata sets is the cornerstone of seismological research and the starting point of machine-learning applications in seismology. We present a 21-year-long diverse data set of seismic events, their metadata, and their waveforms, as curated by the Pacific Northwest Seismic Network (PNSN) and ourselves. We describe the earthquake catalog, the temporal evolution of the data attributes (e.g., event magnitude type, channel type, waveform polarity and signal-to-noise ratio, phase picks) as the network cataloging system evolved through time. We also pick additional waveforms for the recent 20 December 2022 Northern California earthquake sequence, which was the largest event recorded recently in proximity to the PNSN authoritative boundaries. We propose this AI-ready data set as a new open-source benchmark data set.

Session: Opportunities and Challenges for Machine Learning Applications in Seismology [Poster]

Type: Poster

Date: 4/19/2023

Presentation Time: 08:00 AM (local time)

Presenting Author: Renate Hartog

Student Presenter: No

Invited Presentation: 

Authors