Type of publication
Chapter in a book
Year of publication
2021
Publisher
Springer Nature
Link to the publication
Citation
J.M. González-Vida, M.J. Castro, J. Macías, M. de la Asunción, S. Ortega y C. Parés (2021)- Tsunami-HySEA: A Numerical Model Developed for Tsunami Early Warning Systems (TEWS). Progress in Industrial Mathematics: Success Stories. The Industry and the Academia Points of View. Springer Nature ISBN: 978-3-030-61843-8
Editors: M. Cruz, C. Parés y P. Quintela
Short summary
The aim of this work is to present the collaboration between the EDANYA research group of the University of M\'alaga and several international institutions regarding the implementation of computational tools in the framework of the TEWS (Tsunami Early Warning Systems). These collaborations have resulted in the development of the first GPU-based finite volumes numerical model, known as Tsunami-HySEA, able to accelerate tsunami numerical simulations to become a real operational tool in TWC (Tsunami Warning Centres). In this way, tsunami-HySEA is able to compute large tsunami scenarios with good accuracy in only few minutes, which has produced a change of paradigm in the operational assessment of tsunami risks and is making substantial improvements in the current alert systems and therefore, to our citizens security.
