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Modeling and Detection of Hydrodynamic Trends for Advancing Early-Tsunami Warnings

The automated detection of tsunamigenic signals at oceanic observation stations is highly desirable for the advancement of current tsunami early warning systems. These are supported with matching methods using large numbers of tsunami wave propagation modeling scenarios. New techniques using real-time scanning of hydrodynamic signals around a network of stations in an open ocean have been developed for the detection of tsunamis. Spectral ratios with respect to background signals and their levels of similarity across stations were investigated. The new developed algorithms will be wrapped as a reporting web service for the TRIDEC tsunami early warning system in the future.