Articles | Volume 18, issue 11
https://doi.org/10.5194/gmd-18-3487-2025
https://doi.org/10.5194/gmd-18-3487-2025
Model description paper
 | 
13 Jun 2025
Model description paper |  | 13 Jun 2025

GREAT v1.0: Global Real-time Early Assessment of Tsunamis

Usama Kadri, Ali Abdolali, and Maxim Filimonov

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Cited articles

Abdolali, A. and Kirby, J. T.: Role of compressibility on tsunami propagation, J. Geophys. Res.-Oceans, 122, 9780–9794, https://doi.org/10.1002/2017JC013054, 2017. a, b
Abdolali, A., Kadri, U., and Kirby, J. T.: Effect of water compressibility, sea-floor elasticity, and field gravitational potential on tsunami phase speed, Sci. Rep., 9, 16874, https://doi.org/10.1038/s41598-019-52475-0, 2019. a, b, c
Bernard, E. and Titov, V.: Evolution of tsunami warning systems and products, Philos. T. Roy. Soc. A, 373, 20140371, https://doi.org/10.1098/rsta.2014.0371, 2015. a
Coifman, R. and Wickerhauser, M.: Entropy-based algorithms for best basis selection, IEEE T. Inform. Theory, 38, 713–718, https://doi.org/10.1109/18.119732, 1992. a
CTBTO (Comprehensive Nuclear-Test-Ban Treaty Organization): Virtual Data Exploitation Centre (vDEC), https://www.ctbto.org/specials/vdec, last access: 4 June 2025. a
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Short summary
The GREAT v1.0 software introduces a novel tsunami warning technology for global real-time analysis. It leverages acoustic signals generated by tsunamis, which propagate faster than the tsunami itself, enabling real-time detection and assessment. Integrating various models, the software provides reliable and rapid assessment, maps risk areas, and estimates tsunami amplitude. This advancement reduces false alarms and enhances global tsunami warning systems' accuracy and efficiency.
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