This review highlights improvements in tsunami forecasting and decision support for enhancing coastal community preparedness.
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.
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Ma et al. (2026) studied this question.
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