Operational Response Insights from the December 2024 Cape Mendocino, California Earthquake Waveform Data Processing and Quality Review
Description:
The USGS National Strong Motion Project (NSMP) plays a critical role in ensuring the quality, completeness, and accessibility of seismic data collected from significant earthquakes. Through a combination of pre-event preparation, near real-time tools, and post-event analysis workflows, NSMP focuses on delivering reliable data products for both immediate response and long-term seismology research and engineering applications. The December 5, 2024, M7.0 Offshore Cape Mendocino, California earthquake provided an opportunity to evaluate and refine NSMP’s waveform data processing and quality control workflows. Using Python-based geographic information system (GIS) tools, NSMP identified data gaps that facilitated field recovery of a non-communicating near-source station at Lost Coast Ranch and multi-channel building arrays in the San Francisco Bay region and broader western U.S. for proactive quality review. These tools helped detect metadata inconsistencies and address operational challenges, improving response workflows. Here we aim to highlight the NSMP's current core workflows, including planned developments and improvements to our signal processing pipelines, metadata validation tools, and data dissemination strategies through the Center for Engineering Strong Motion Data Center (CESMD), ShakeMap, and the Northern California Earthquake Data Center (NCEDC). We’ll showcase how these workflows were applied in a recent earthquake response, share lessons learned, and offer guidance on effectively accessing and utilizing NSMP waveform datasets and station information, including available site characterization data. These insights are broadly applicable to seismic data users and responders following future significant earthquakes, as waveform datasets evolve from preliminary to more complete versions throughout the event sequence.
Session: Modern Waveform Processing and Engineering Datasets - Accessibility, Quality Control, and Metadata [Poster]
Type: Poster
Date: 4/17/2025
Presentation Time: 08:00 AM (local time)
Presenting Author: Lisa
Student Presenter: No
Invited Presentation:
Poster Number: 52
Authors
Lisa Schleicher Presenting Author Corresponding Author lschleicher@usgs.gov U.S. Geological Survey |
Jamison Steidl steidl@ucsb.edu University of California, Santa Barbara |
Luke Blair lblair@usgs.gov U.S. Geological Survey |
Fabia Terra terra@berkeley.edu University of California, Berkeley |
Lijam Hagos lijam.hagos@conservation.ca.gov California Geological Survey |
Jeff Brody jbrody@usgs.gov U.S. Geological Survey |
Han Shao hshao@usgs.gov U.S. Geological Survey |
Adria McClain amcclain@usgs.gov U.S. Geological Survey |
Richard Bradshaw rbradshaw@usgs.gov U.S. Geological Survey |
Mahesh Dhar Mahesh.Dhar@conservation.ca.gov California Geological Survey, Sacramento, California, United States |
Veronica Amador vamador@usgs.gov U.S. Geological Survey, Moffett Field, California, United States |
Jacob Marcus jmarcus@usgs.gov U.S. Geological Survey, Moffett Field, California, United States |
Ed Luna eluna@contractor.usgs.gov U.S. Geological Survey, Moffett Field, California, United States |
Vetania Carrasco Rodriguez vcarrascorodriguez@usgs.gov U.S. Geological Survey, Moffett Field, California, United States |
Dean Childs dmchilds@usgs.gov U.S. Geological Survey, Moffett Field, California, United States |
Kyle Kinkaid kkinkaid@usgs.gov U.S. Geological Survey, Moffett Field, California, United States |
Jim Smith jimsmith@usgs.gov U.S. Geological Survey, Moffett Field, California, United States |
Hamid Haddadi Hamid.Haddadi@conservation.ca.gov California Geological Survey, Sacramento, California, United States |
David Croker croker@usgs.gov U.S. Geological Survey, Moffett Field, California, United States |
Operational Response Insights from the December 2024 Cape Mendocino, California Earthquake Waveform Data Processing and Quality Review
Category
Modern Waveform Processing and Engineering Datasets - Accessibility, Quality Control, and Metadata