Scenario superposition method for real‐time tsunami prediction using a Bayesian approach

S Fujita, R Nomura, S Moriguchi… - Journal of …, 2024 - Wiley Online Library
In this study, we propose a scenario superposition method for real‐time tsunami wave
prediction. In the offline phase, prior to actual tsunami occurrence, hypothetical tsunami …

On the performance of sequential Bayesian update for database of diverse tsunami scenarios

R Nomura, LAH Vermare, S Fujita, D Rim… - arxiv preprint arxiv …, 2024 - arxiv.org
Although the sequential tsunami scenario detection framework was validated in our previous
work, several tasks remain to be resolved from a practical point of view. This study aims to …

Machine learned reconstruction of tsunami dynamics from sparse observations

E McDugald, A Mohan, D Engwirda, A Marcato… - arxiv preprint arxiv …, 2024 - arxiv.org
We investigate the use of the Senseiver, a transformer neural network designed for sparse
sensing applications, to estimate full-field surface height measurements of tsunami waves …

Comparative Performance of Scenario Superposition by Sequential Bayesian Update for Tsunami Risk Evaluation

R Nomura, LA Hirao-Vermare, S Fujita… - Journal of Disaster …, 2024 - jstage.jst.go.jp
This study aims to evaluate the performance of the previous sequential Bayesian update for
synthesizing tsunami scenarios in a diverse database consisting of complex fault rupture …