Cloud-native Machine Learning workflow for earthquake event detection and phase picking

By Jannes Munchmeyer (munchmej@univ-grenoble-alpes.fr), Yiyu Ni (niyiyu@uw.edu), and Marine Denolle (mdenolle@uw.edu)

Step-by-step instructions for running the full workflow on AWS (custom weights, Batch/Fargate Spot, DocumentDB, monitoring): docs/rerun_2026/README.md

Reference

• Ni, Y., Denolle, M. A., Münchmeyer, J., Wang, Y., Feng, K. F., Suarez, C. G. J., Thomas, A. M., Trabant, C., Hamilton, A., Mencin, D. (2025). A Review of Cloud Computing and Storage in Seismology. Geophysical Journal International, 243(1), ggaf322. 10.1093/gji/ggaf322
• Ni, Y., Denolle, M. A., Thomas, A. M., Münchmeyer, J., Hamilton, A., Wang, Y., Bachelot, L., Trabant, C., Mencin, D. (2025). A Global-scale Database of Seismic Phases from Cloud-based Picking at Petabyte Scale. Seismica, 4(2). 10.26443/seismica.v4i2.1738