On the Inference of Tsunami Uncertainties From Landslide Run‐Out Observations

Probabilistic tsunami hazard analysis (PTHA) due to submarine landslides is much less developed than PTHA for earthquake sources. This partly because of constrained data available quantifying source probability, and the lack knowledge related generation process landslide dynamics. study provides a basis estimating uncertainty dynamics from based on new database in Gulf Cadiz. The establishment this described herein. We use run-out statistics calibrate parameters uncertainties employing cohesive model BingClaw. In turn, coupling motion genesis performed order characterize inferred uncertainties. Important that can explain large are initial water depth landslide, slope, volume, yield strength material. Kinematic properties such as acceleration or Froude number found strongly correlate with tsunami-genesis. study, we show how matching numerical models observed past events field give information about their tsunami-genic strength. turn be applied future spanning ranges tsunami-genesis, by data.