albertoardid.bsky.social
@albertoardid.bsky.social
New paper! We use ML on seismic data to forecast eruptions at Steamboat Geyser, Yellowstone. A step toward anticipating hydrothermal blasts—like the July 2024 Biscuit Basin event—and managing risks in geothermal fields worldwide.
doi.org/10.1029/2024...
#geothermal #AI #Geysers
April 14, 2025 at 4:11 AM
🚨🌋 Excited to share this interview with
@naturecomms.bsky.social
editor Sebastian Mueller, where we talk about our latest work on forecasting volcanic eruptions using transfer learning.

🎙️ Interview: youtube.com/watch?v=5NFC...

📄 Paper: nature.com/articles/s41...
Forecasting volcanic eruptions with transfer machine learning
YouTube video by Geo-log
youtube.com
March 26, 2025 at 8:11 AM
Reposted
@albertoardid.bsky.social and colleagues present new work in which they use transfer machine learning methods that help forecasting volcanic eruptions, also at less monitored volcanoes.

www.nature.com/articles/s41...
Ergodic seismic precursors and transfer learning for short term eruption forecasting at data scarce volcanoes - Nature Communications
This study uses transfer learning to identify seismic eruption precursors shared among volcanoes, enabling accurate forecasting even at data-scarce sites. Results show that seismic patterns exhibit er...
www.nature.com
March 7, 2025 at 1:40 PM
Our new AI forecast model uses data from 24 volcanoes, showing seismic patterns at well-monitored sites can help predict eruptions at data-scarce ones—potentially lowering risk mitigation costs. Tools are open access to benefit global observatories.
doi.org/10.1038/s414...
@volcanocronin.bsky.social
Ergodic seismic precursors and transfer learning for short term eruption forecasting at data scarce volcanoes - Nature Communications
This study uses transfer learning to identify seismic eruption precursors shared among volcanoes, enabling accurate forecasting even at data-scarce sites. Results show that seismic patterns exhibit er...
doi.org
February 25, 2025 at 8:35 PM