- 1INGV - Istituto Nazionale di Geofisica e Vulcanologia , CAT ONT - Centro Allerta Tsunami, Osservatorio Nazionale Terremoti, Rome, Italy (valeria.cascone@ingv.it)
- 2Global Earthquake Model Foundation (GEM), Pavia, Italy
- 3NGI - Norwegian Geotechnical Institute (NGI), Oslo, Norway
The Global Tsunami Model (GTM) global-scale Probabilistic Tsunami Hazard Assessment (PTHA) is one of the Pilot Demonstrators (PD) of the EU ChEESE-2P project, which would represent an update of the previous global tsunami hazard model proposed by Davies et al. (2018). Since it is a PTHA for earthquake-generated tsunamis, it is important that its input seismic model is consistent with the one used for Probabilistic Seismic Hazard Analysis (PSHA) at comparable scales and affecting the same locations.
The GTM and the Global Earthquake Model (GEM) organizations then started collaborating to improve the interoperability of the tools used for PTHA and PSHA, and of the input and output data and models. This could benefit the end-users since both the shaking and the inundation result from the same causative phenomenon - the earthquake in this case.
Moreover, the GEM OpenQuake (OQ) engine for seismic hazard and risk assessment provides an opportunity to compare the GTM tools with a well-tested software platform that uses accepted standards.
In this contribution we present the first results of a sensitivity analysis of the PTHA results to the use of different earthquake occurrence models for the same seismogenic source zone, and to the use of different tools and codes for the generation of earthquake rupture catalogues, for the tsunami propagation, and for the aggregation of the hazard results. To this end, we use different combinations of the data, tools and codes from those of Davies et al. (2018) and the Australian PTHA (Davies, 2019), the GTM ones (e.g. Gibbons et al., 2020), and the OQ ones (Pagani et al., 2014).
Davies G., et al., 2018. A global probabilistic tsunami hazard assessment from earthquake sources. Geological Society, London, Special Publications 456, 219–244. doi: 10.1144/sp456.5
Davies G., 2019. "A new probabilistic tsunami hazard assessment for Australia." Australasian Coasts and Ports 2019 Conference: Future directions from 40 S and beyond, Hobart, 10-13 September 2019.
Gibbons S.J., et al., 2020. “Probabilistic Tsunami Hazard Analysis: High Performance Computing for Massive Scale Inundation Simulations”. Front. Earth Sci. 8:591549. doi: 10.3389/feart.2020.591549
Pagani M., et al., 2014. OpenQuake Engine: An open hazard (and risk) software for the Global Earthquake Model, Seismol. Res. Lett., 85, 3, 692-702, doi:10.1785/0220130087.
How to cite: Cascone, V., Bayraktar, B., Basili, R., Crowley, H., Gibbons, S., Johnson, K., Lorito, S., Løvholt, F., Pagani, M., Romano, F., Tonini, R., and Volpe, M.: The GTM global PTHA: towards interoperability with the GEM OpenQuake engine, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19264, https://doi.org/10.5194/egusphere-egu25-19264, 2025.
