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dc.contributor.authorBasili, R.
dc.contributor.authorBrizuela, B.
dc.contributor.authorHerrero, A.
dc.contributor.authorIqbal, S.
dc.contributor.authorLorito, S.
dc.contributor.authorMaesano, F.E.
dc.contributor.authorMurphy, S.
dc.contributor.authorPerfetti, P.
dc.contributor.authorRomano, F.
dc.contributor.authorScala, A.
dc.contributor.authorSelva, J.
dc.contributor.authorTaroni, M.
dc.contributor.authorTiberti, M.M.
dc.contributor.authorThio, Hong Kie
dc.contributor.authorTonini, R.
dc.contributor.authorVolpe, M.
dc.contributor.authorGlimsdal, Sylfest
dc.contributor.authorHarbitz, Carl Bonnevie
dc.contributor.authorLøvholt, Finn
dc.contributor.authorBaptista, Maria Ana
dc.contributor.authorFernando, Carrilho
dc.contributor.authorMatias, Luis Manuel
dc.contributor.authorOmira, Rachid
dc.contributor.authorBabeyko, Andrey
dc.contributor.authorHoechner, A.
dc.contributor.authorGurbuz, M.
dc.contributor.authorPekcan, O.
dc.contributor.authorYalciner, Ahmet C.
dc.contributor.authorCanals, M.
dc.contributor.authorLastras, G.
dc.contributor.authorAgalos, A.
dc.contributor.authorPapadopoulos, G.
dc.contributor.authorTriantafyllou, I.
dc.contributor.authorBenchekroun, S.
dc.contributor.authorAgrebi Jaouadi, K.
dc.contributor.authorBen Abdallah, S.
dc.contributor.authorBouallegue, A.
dc.contributor.authorHamdi, H.
dc.contributor.authorOueslati, F.
dc.contributor.authorAmato, A.
dc.contributor.authorArmigliato, Alberto
dc.contributor.authorBehrens, Jörn
dc.contributor.authorDavies, G.
dc.contributor.authorDi Bucci, D.
dc.contributor.authorDolce, M.
dc.contributor.authorGeist, Eric
dc.contributor.authorGonzalez Vida, J.M.
dc.contributor.authorGonzalez, M
dc.contributor.authorMacías Sánchez, J.
dc.contributor.authorMeletti, C.
dc.contributor.authorOzer Sozdinler, C.
dc.contributor.authorPagani, M.
dc.contributor.authorParsons, T.
dc.contributor.authorPolet, J.
dc.contributor.authorPower, W.
dc.contributor.authorSørensen, Mathilde Bøttger
dc.contributor.authorZaytsev, A.
dc.date.accessioned2022-02-17T12:50:13Z
dc.date.available2022-02-17T12:50:13Z
dc.date.created2022-01-27T15:44:52Z
dc.date.issued2021
dc.identifier.issn2296-6463
dc.identifier.urihttps://hdl.handle.net/11250/2979712
dc.description.abstractThe 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 three-phase 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 quantification. Each Step includes a different number of Levels. Level-0 always describes the input data; the other Levels describe the intermediate results needed to proceed from one Step to another. Alternative datasets and models were considered in the implementation. The epistemic hazard uncertainty was quantified through an ensemble modeling technique accounting for alternative models’ weights and yielding a distribution of hazard curves represented by the mean and various percentiles. Hazard curves were calculated at 2,343 Points of Interest (POI) distributed at an average spacing of ∼20 km. Precalculated probability maps for five maximum inundation heights (MIH) and hazard intensity maps for five average return periods (ARP) were produced from hazard curves. In the entire NEAM Region, MIHs of several meters are rare but not impossible. Considering a 2% probability of exceedance in 50 years (ARP≈2,475 years), the POIs with MIH >5 m are fewer than 1% and are all in the Mediterranean on Libya, Egypt, Cyprus, and Greece coasts. In the North-East Atlantic, POIs with MIH >3 m are on the coasts of Mauritania and Gulf of Cadiz. Overall, 30% of the POIs have MIH >1 m. NEAMTHM18 results and documentation are available through the TSUMAPS-NEAM project website (http://www.tsumaps-neam.eu/), featuring an interactive web mapper. Although the NEAMTHM18 cannot substitute in-depth analyses at local scales, it represents the first action to start local and more detailed hazard and risk assessments and contributes to designing evacuation maps for tsunami early warning.en_US
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleThe Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 Basili, Brizuela, Herrero, Iqbal, Lorito, Maesano, Murphy, Perfetti, Romano, Scala, Selva, Taroni, Tiberti, Thio, Tonini, Volpe, Glimsdal, Harbitz, Løvholt, Baptista, Carrilho, Matias, Omira, Babeyko, Hoechner, Gürbüz, Pekcan, Yalçıner, Canals, Lastras, Agalos, Papadopoulos, Triantafyllou, Benchekroun, Agrebi Jaouadi, Ben Abdallah, Bouallegue, Hamdi, Oueslati, Amato, Armigliato, Behrens, Davies, Di Bucci, Dolce, Geist, Gonzalez Vida, González, Macías Sánchez, Meletti, Ozer Sozdinler, Pagani, Parsons, Polet, Power, Sørensen and Zaytsev.en_US
dc.source.articlenumber616594en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.3389/feart.2020.616594
dc.identifier.cristin1991599
dc.source.journalFrontiers in Earth Scienceen_US
dc.identifier.citationFrontiers in Earth Science. 2021, 8, 616594.en_US
dc.source.volume8en_US


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