the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Probabilistic tsunami hazard assessment at Stromboli volcano: 2. New simulation database and probabilistic inundation maps and curves
Abstract. Probabilistic Tsunami Hazard Assessment (PTHA) is the essential first step for quantifying the long-term risk posed by landslide-generated tsunamis at active volcanic islands like Stromboli, Italy. This study presents a first PTHA for Stromboli, providing a quantitative and transparent basis for risk mitigation and long-term coastal planning at Stromboli. In particular, our work integrates two new databases of numerical simulations for volcanic landslide-induced tsunamis with occurrence probabilities derived from expert elicitation (described in the companion paper by Tadini et al., submitted). We introduce a new methodology to translate elicited probabilities for landslide frequency, volume, and location into a full suite of probabilistic hazard products. The results, expressed as hazard curves, maps and profiles (5th, 50th and 95th percentiles), are presented for alternative modelling setups, including different high-resolution topobathymetric models and code versions, to transparently account for epistemic uncertainty in the numerical hazard assessment. Our findings quantify a significant tsunami hazard for Stromboli's inhabited coastal areas over the next 50 years. The 95th percentile maps indicate that inundation by at least 0.5 m of water has >90 % to occur along coast of Stromboli village the over the next 50 years. Furthermore, the hazard curves at critical sites show non-negligible probabilities of exceeding severe inundation depths in the same 50 years temporal frame.
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Status: final response (author comments only)
- RC1: 'Comment on egusphere-2026-1602', Anonymous Referee #1, 28 May 2026
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RC2: 'Comment on egusphere-2026-1602', Anonymous Referee #2, 18 Jul 2026
Thank you for the opportunity to review this great manuscript, here are some of my comments:
a). The manuscript should clarify more explicitly the main novelty of this database compared with Cerminara et al. (2024) and de’ Michieli Vitturi et al. (2026). In particular, the authors should concisely highlight the contributions of the 10-m topo-bathymetry itself, the numerical-model modifications, and expanded set of 462 scenarios
b) The source scenarios appear to vary mainly in volume, elevation, and density, while the landslide direction seems to be kept along a single trajectory. It would be interesting and scientifically valuable to include, not only different landslide directions, or at least discuss them
c) The definitions of several scenario parameters and outputs should be clarified in more detail. Authors should define the meaning of “vertical elevation” and “density contrast,” as well as distinguish clearly between maximum wave height above sea level, inundation height above ground, and water depth. Although I understand the meaning of each parameters, but the different meaning of vertical elevation and density contrast should be well explained.
Citation: https://doi.org/10.5194/egusphere-2026-1602-RC2
Data sets
Simulated scenarios of volcanic mass movements and associated tsunamis at Stromboli (Aeolian archipelago, Tyrrhenian sea, Italy) - version 2, simulations with 20-m resolution topo-bathymetry M. de’ Michieli Vitturi et al. https://www.pi.ingv.it/banche-dati/scenarios-of-volcanic-mass-movements-associated-tsunamis-at-stromboli-20-m-topo-bathymetry/
Simulated scenarios of volcanic mass movements and associated tsunamis at Stromboli (Aeolian archipelago, Tyrrhenian sea, Italy) - version 2, simulations with 10-m resolution topo-bathymetry M. de’ Michieli Vitturi et al. https://www.pi.ingv.it/banche-dati/scenarios-of-volcanic-mass-movements-and-associated-tsunamis-at-stromboli-10-m-topo-bathymetry/
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Please see the attached review report