Synthetic Waveforms for Earthquake Early Warning Testing
SWEET is an interactive web app for finite fault modeling and synthetic seismic waveform generation. Design earthquake rupture scenarios through a map-first workflow: set location and geometry on the map, configure kinematics, group subsources, define a station network, and compute broadband synthetic waveforms.
Pre-computed templates are generated using the ML-based seismic waveform model of:
Palgunadi, K. H., Bergmeister, A., Bosisio, A., Ermert, L. A., Koroni, M., Perraudin, N., et al. (2025). High resolution seismic waveform generation using denoising diffusion. Journal of Geophysical Research: Machine Learning and Computation, 2, e2025JH000862. https://doi.org/10.1029/2025JH000862
Author: Francesco Alexandr Colosimo
Version: 2.0 — 2026
Based on the master's thesis "SWEET: Synthetic Waveforms for Earthquake Early Warning Testing" completed at ETH ZΓΌrich. doi:10.3929/ethz-c-000785073