Attention‐Based Reconstruction of Full‐Field Tsunami Waves From Sparse Tsunameter Networks

Abstract We investigate the potential of an attention‐based neural network architecture, the Senseiver, for sparse sensing in tsunami forecasting. Specifically, we focus on the Tsunami Data Assimilation Method, which generates forecasts from tsunameter networks. Our model is used to reconstruct high...

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Detalhes bibliográficos

Principais autores:	Edward McDugald, Arvind Mohan, Darren Engwirda, Agnese Marcato, Javier E. Santos
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2025-08-01
coleção:	Geophysical Research Letters
Assuntos:	sparse sensing tsunami forecasting attention mechanism deep learning tsunami data assimilation
Acesso em linha:	https://doi.org/10.1029/2025GL115345
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