Potential of deep predictive coding networks for spatiotemporal tsunami wavefield prediction
Abstract Data assimilation is a powerful tool for directly forecasting tsunami wavefields from the waveforms recorded at dense observational stations like S-Net without the need to know the earthquake source parameters. However, this method requires a high computational load and a quick warning is e...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2020-11-01
|
| Series: | Geoscience Letters |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40562-020-00169-1 |