Machine learning-based tsunami inundation prediction derived from offshore observations
oleh: Iyan E. Mulia, Naonori Ueda, Takemasa Miyoshi, Aditya Riadi Gusman, Kenji Satake
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-09-01 |
Deskripsi
One of the main challenges in the tsunami inundation prediction is related to the real-time computational efforts done under restrictive time constraints. Here the authors show that using machine learning-based model, we can achieve comparable accuracy to the physics-based model with ~99% computational cost reduction.