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2020
DOI: 10.1007/s10518-020-00899-9
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A regionally-adaptable “scaled backbone” ground motion logic tree for shallow seismicity in Europe: application to the 2020 European seismic hazard model

Abstract: The selection of ground motion models, and the representation of their epistemic uncertainty in the form of a logic tree, is one of the fundamental components of probabilistic seismic hazard and risk analysis. A new ground motion model (GMM) logic tree has been developed for the 2020 European seismic hazard model, which develops upon recently compiled ground motion data sets in Europe. In contrast to previous European seismic hazard models, the new ground model logic tree is built around the scaled backbone co… Show more

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Cited by 50 publications
(52 citation statements)
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“…The conceptual framework of the scaled backbone logic tree that is being adopted within the ESHM20 and its data-driven regionalisation is outlined by Weatherill et al (2020), who adapt the strategy initially proposed by Douglas (2018a). In the construction of the scaled backbone GMM logic tree for general crustal seismicity Europe, Kotha et al (2020) derive a new GMM that capitalises on the wealth of strong motion data available within the European Strong Motion (ESM) flatfile (Lanzano et al 2019).…”
Section: Scaled Backbone Logic Tree For General Crustal Seismicitymentioning
confidence: 99%
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“…The conceptual framework of the scaled backbone logic tree that is being adopted within the ESHM20 and its data-driven regionalisation is outlined by Weatherill et al (2020), who adapt the strategy initially proposed by Douglas (2018a). In the construction of the scaled backbone GMM logic tree for general crustal seismicity Europe, Kotha et al (2020) derive a new GMM that capitalises on the wealth of strong motion data available within the European Strong Motion (ESM) flatfile (Lanzano et al 2019).…”
Section: Scaled Backbone Logic Tree For General Crustal Seismicitymentioning
confidence: 99%
“…Where the data are absent or insufficient to constrain the region-specific random effects, however, the full distributions of L2L and C 3 are used. As explained by Weatherill et al (2020), the spatial variation in L2L l is complex and potentially poorly constrained, thus we retain the full uncertainty ( L2L ) across Europe. For C 3,R , however, regions of similar residual attenuation characteristics are grouped into clusters that capture the broader scale regional attenuation variation and permit characterisation of a region-specific distribution of attenuation properties.…”
Section: Scaled Backbone Logic Tree For General Crustal Seismicitymentioning
confidence: 99%
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