Machine learning-based tsunami inundation prediction derived from offshore observations

Abstract

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.