Multi-station deep learning on geodetic time series detects slow slip events in Cascadia
Abstract Slow slip events (SSEs) originate from a slow slippage on faults that lasts from a few days to years. A systematic and complete mapping of SSEs is key to characterizing the slip spectrum and understanding its link with coeval seismological signals. Yet, SSE catalogues are sparse and usually...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2023-11-01
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| coleção: | Communications Earth & Environment |
| Acesso em linha: | https://doi.org/10.1038/s43247-023-01107-7 |
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