caltechseismo.bsky.social
Caltech Seismological Laboratory | A focal point and source for earthquake science, discovery, and research in Southern California for over 100 years!
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As part of this collab, the Community Seismic Network (CSN) has deployed 75 triaxial seismic sensors throughout the structure to capture detailed structural response data from floor slabs, pipes, windows, and balconies generating valuable insights for eq engineering and post-disaster resilience!
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This project brings together researchers, engineers, industry, and agencies from across the country to improve building safety and performance under disaster conditions using data from 700+ sensors deployed by NHERI@UCSD.
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Its main purposes are to provide high-resolution maps of maximum shaking immediately following earthquakes, and to monitor the health and safety of structures. CSN is a collaboration between the Seismo Lab and Dept. of Mechanical & Civil Engineering at Caltech, in partnership with UCLA and the CGS
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This is important since the same alert distribution system is used for Earthquake Early Warning. Please share your experience to help improve future alerts, and forward this survey to your friends, family, and community! Visit www.scsn.org to fill out the survey and help strengthen these alerts!
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They visited many sites, some seen in these posts, many of which have fire cams you can view here: buff.ly/BSS8gPv The trip looked like a lot of fun, with more interesting places to see over the next few weeks!
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Check out how the network has expanded since the first few in 1932 with our interactive map! buff.ly/1esbjcH
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With tremendous amounts of sensors represented by a single DAS instrument, fiber optics are helping shape the future of GeoPhysics! buff.ly/abMrOpa
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Working with local scientists and telecoms companies, they recorded significant data indicating magma movement in detail rarely seen before. This data and international collaboration helped the team develop an early warning system for eruptions in the area, and it is already proving accurate!
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One possible way to add to the data set is to include station latency info. If you're a researcher who is interested in this data set, would you like to see station latency included to understand how it would affect your algorithm? Leave a comment here or go over to our X poll to give your feedback!
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agupubs.onlinelibrary.wiley.com/doi/full/10....
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agupubs.onlinelibrary.wiley.com/doi/abs/10.1...
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Jessie Saunders’ #SSA2025 poster explores how DYFI responses reflect #ShakeAlert performance.
By comparing reported warning times with alert data, confirming they are reaching people, and improving ShakeAlert performance reporting seismosoc.secure-platform.com/a/gallery/ro...
@jksaunders.bsky.social
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Don’t miss Jessie and Ettore's SSA poster on using DAS for Earthquake Early Warning in SoCal!
The team explores how DAS data could boost EEW by augmenting ground motion inputs or powering new strain-based algorithms.
📍#SSA2025 Poster
🔗 seismosoc.secure-platform.com/a/gallery/ro...