Preface: New challenges for tsunami science: understanding tsunami processes to improve mitigation and enhance early warning
Author:
Abstract
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Link
https://nhess.copernicus.org/articles/16/1855/2016/nhess-16-1855-2016.pdf
Reference16 articles.
1. Álvarez-Gómez, J. A., Aniel-Quiroga, Í., Gutiérrez-Gutiérrez, O. Q., Larreynaga, J., González, M., Castro, M., Gavidia, F., Aguirre-Ayerbe, I., González-Riancho, P., and Carreño, E.: Tsunami hazard assessment in El Salvador, Central America, from seismic sources through flooding numerical models, Nat. Hazards Earth Syst. Sci., 13, 2927–2939, https://doi.org/10.5194/nhess-13-2927-2013, 2013.
2. Beltrami, G. M.: Automatic, real-time detection and characterization of tsunamis in deep-sea level measurements, Ocean Eng., 38, 1677–1685, 2011.
3. Beltrami, G. M. and Di Risio, M.: Algorithms for automatic, real time tsunami detection in wind-wave measurements Part I: Implementation strategies and basic tests, Coast. Eng., 58, 1062–1071, 2011.
4. Borrero, J. C., Kalligeris, N., Lynett, P. J., Fritz, H. M., Newman, A. V., and Convers, J. A.: Observations and Modelling of the August 27, 2012 Earthquake and Tsunami affecting El Salvador and Nicaragua, Pure Appl. Geophys., 171, 3421–3435, https://doi.org/10.1007/s00024-014-0782-2, 2014.
5. Bressan, L. and Tinti, S.: Structure and performance of a real time algorithm to detect tsunami or tsunami-like alert conditions based on sea-level records analysis, Nat. Hazards Earth Syst. Sci., 11, 1499–1521, https://doi.org/10.5194/nhess-11-1499-2011, 2011.
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