Tianxing Ma, liangxu shen, Zejian Chen, Dongfang Liang
Abstract Tsunami science is moving from standalone physics simulations to integrated forecasting and risk-governance frameworks. This review synthesizes advances in multi-source observations, signal detection, propagation and inundation modeling, physics–AI hybrid prediction, and real-time warning workflows. It further discusses uncertainty communication, decision support, and pathways for linking forecast systems with resilient coastal planning and community preparedness.