Articles | Volume 24, issue 4
https://doi.org/10.5194/nhess-24-1401-2024
https://doi.org/10.5194/nhess-24-1401-2024
Research article
 | 
24 Apr 2024
Research article |  | 24 Apr 2024

Scoring and ranking probabilistic seismic hazard models: an application based on macroseismic intensity data

Vera D'Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti

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Latest update: 23 Nov 2024
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Short summary
We propose a scoring strategy to rank multiple models/branches of a probabilistic seismic hazard analysis (PSHA) model that could be useful to consider specific requests from stakeholders responsible for seismic risk reduction actions. In fact, applications of PSHA often require sampling a few hazard curves from the model. The procedure is introduced through an application aimed to score and rank the branches of a recent Italian PSHA model according to their fit with macroseismic intensity data.
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