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.
Building similarity graph...
Analyzing shared references across papers
Loading...
Tianxing Ma
liangxu shen
Zejian Chen
npj natural hazards.
University of Cambridge
Zhejiang University
Hong Kong Polytechnic University
Building similarity graph...
Analyzing shared references across papers
Loading...
Ma et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69ba42bc4e9516ffd37a3380 — DOI: https://doi.org/10.1038/s44304-026-00195-7