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The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18) ArchiMer
Basili, Roberto; Brizuela, Beatriz; Herrero, Andre; Iqbal, Sarfraz; Lorito, Stefano; Maesano, Francesco Emanuele; Murphy, Shane; Perfetti, Paolo; Romano, Fabrizio; Scala, Antonio; Selva, Jacopo; Taroni, Matteo; Tiberti, Mara Monica; Thio, Hong Kie; Tonini, Roberto; Volpe, Manuela; Glimsdal, Sylfest; Harbitz, Carl Bonnevie; Lovholt, Finn; Baptista, Maria Ana; Carrilho, Fernando; Matias, Luis Manuel; Omira, Rachid; Babeyko, Andrey; Hoechner, Andreas; Gurbuz, Mucahit; Pekcan, Onur; Yalciner, Ahmet; Canals, Miquel; Lastras, Galderic; Agalos, Apostolos; Papadopoulos, Gerassimos; Triantafyllou, Ioanna; Benchekroun, Sabah; Agrebi Jaouadi, Hedi; Ben Abdallah, Samir; Bouallegue, Atef; Hamdi, Hassene; Oueslati, Foued; Amato, Alessandro; Armigliato, Alberto; Behrens, Joern; Davies, Gareth; Di Bucci, Daniela; Dolce, Mauro; Geist, Eric; Gonzalez Vida, Jose Manuel; Gonzalez, Mauricio; Macias Sanchez, Jorge; Meletti, Carlo; Ozer Sozdinler, Ceren; Pagani, Marco; Parsons, Tom; Polet, Jascha; Power, William; Sorensen, Mathilde; Zaytsev, Andrey.
The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-eastern Atlantic, the Mediterranean, and connected seas (NEAM). NEAMTHM18 was designed as a threephase project. The first two phases were dedicated to the model development and hazard calculations, following a formalized decision-making process based on a multiple-expert protocol. The third phase was dedicated to documentation and dissemination. The hazard assessment workflow was structured in Steps and Levels. There are four Steps: Step-1) probabilistic earthquake model; Step-2) tsunami generation and modeling in deep water; Step-3) shoaling and inundation; Step-4) hazard aggregation and uncertainty...
Tipo: Text Palavras-chave: Probabilistic tsunami hazard assessment; Earthquake-generated tsunami; Hazard uncertainty analysis; Ensemble modeling; Maximum inundation height; NEAM.
Ano: 2021 URL: https://archimer.ifremer.fr/doc/00689/80114/83165.pdf
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