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Monday, February 24, 2025
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See the following announcements:
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- PEER - LBNL Joint Hybrid Workshop on the Simulated Earthquake Ground Motion Database for the San Francisco Bay Region, March 24, 2025
- Fluids in Cascadia Workshop - April 23-25 - Apply to attend by March 1
- CRESCENT Technical Short Course – Machine Learning
On behalf of Arben Pitarka, Lawrence Livermore National Laboratory
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PEER - LBNL Joint Hybrid Workshop on the Simulated Earthquake Ground Motion Database for the San Francisco Bay Region, March 24, 2025
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With support from the U.S. Department of Energy’s Office of Cybersecurity, Energy Security, and Emergency Response, The Pacific Earthquake Engineering Research Center and Lawrence Berkeley National Laboratory have developed an open-access database of simulated earthquake ground motions for M7 Hayward fault earthquake scenarios.
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This workshop will provide a comprehensive update on the motions that have been computed using the DOE’s new GPU accelerated exaflop computer systems. It will also provide the opportunity to learn about this new resource and how to readily access the database of spatially dense regional ground motions. The workshop will be held in the Banatao Auditorium on the UC Berkeley campus. Registration for the workshop is free. In-person and online attendance options are available.
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On behalf of Jill Elizabeth, University of Oregon
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Fluids in Cascadia Workshop - April 23-25 - Apply to attend by March 1
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The NSF funded Cascadia Region Earthquake Science Center (CRESCENT) includes a Cascadia Subduction Fluids Special Interest Group (SIG). Fluids are ubiquitous in subduction zone systems and play a fundamental role in modulating many observed processes along the megathrust and other related faults including slip behaviors and deformation mode. To understand the role of subduction fluids in these complex systems, we require interdisciplinary communication, synthesis, and collaboration. This includes geophysicists, modelers, geochemists, and geologists working together.
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Upcoming Fluids in Cascadia Workshop:
To facilitate cross disciplinary synthesis, learning, and collaboration, CRESCENT will host a community workshop focused on Subduction Fluids and the Megathrust, to be held on April 23-25, 2025, in Portland, OR. The main workshop will occur in full-day sessions on April 24 and 25, with the afternoon of April 23 devoted to optional, introductory tutorials providing background on the multiple disciplines contributing to an integrated understanding of subduction fluids.
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This workshop will bring the Cascadia science community together to discuss recent progress and observational needs and will be critical in charting a path forward for fluid-related processes and subduction slip behaviors. It will focus on the following topics: fluid sources (hydration of the oceanic slab, thermal and petrologic constraints on dehydration reactions, dewatering of sediments); fluid pathways, fluxes, and transport properties; pore pressure and fault strength; and fault slip/deformation behavior along the megathrust from the deformation front, through the seismogenic zone, and into the regions of slow slip and tremor and creep.
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Please complete the application form by March 1. We will send an email to confirm your participation in the workshop.
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More information about the workshop can be found here. This page will be updated moving forward with additional information.
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If you are interested in getting involved in the Cascadia Subduction Fluids SIG beyond this workshop please:
(1) Sign up for the Cascadia Subduction Fluids SIG mailing list.
(2) Contact Cailey Condit (ccondit@uw.edu) if you have any questions or additional ideas.
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On behalf of Shannon Fasola, University of Oregon
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CRESCENT Technical Short Course – Machine Learning
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Location: University of Washington – Seattle, Washington
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This in-person three-day short course provides a hands-on introduction to machine learning techniques for seismic event analysis. Participants will learn to develop AI-aided earthquake catalogs through three key steps: event detection, association, and location with quality control. The workshop will include a mix of presentations and hands-on tutorials.
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By the end of this short course, participants will be able to:
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- Explain the role of machine learning in earthquake detection, association, and location.
- Select appropriate neural network architectures for earthquake detection and phase picking.
- Train models using labeled seismic datasets and evaluate their performance.
- Implement trained models to detect and associate seismic events in real-world data.
- Optimize model parameters for accuracy and efficiency in earthquake cataloging.
- Integrate machine learning outputs into earthquake location algorithms.
- Assess model predictions and refine event catalogs through quality control methods.
- Design end-to-end machine learning workflows tailored to specific seismic networks or research needs.
- Collaborate on participant-led exercises to improve catalog quality and reliability.
This workshop is for graduate students, postdocs, and professionals in the field of earthquake science who have specific research or application needs for machine learning in earthquake detection, association, and/or location. They should have intermediate python skills and a current interest in utilizing this technology.
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We will cover travel, 4 nights of accommodations, including breakfast and lunch during the conference.
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Application Deadline: March 15, 2025 (CLICK TO APPLY). Space is limited to 20 participants.
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