Global Tsunami Hazard GTM RP10

The input tsunami hazard data are based on the global hazard analysis of Davies et al. (2017), developed jointly by Geoscience Australia and NGI, formatted for use in ThinkHazard!. The data serves as data for Global Tsunami Model (GTM, http://globaltsunamimodel.org/). The global tsunami dataset contains maximum inundation heights, calculated at offshore hazard points and projected to shoreline by simple interpolation. Tsunami Maximum Inundation Height (MIH) is defined as the largest elevation the tsunami reaches above still water level, consistent with IOC-UNESCO terminology. The MIH hazard data are at global level for return periods: 10, 50, 100, 200, 500, 1000, and 2500 year. Values above and below extreme values, are referred to as >=20 m and <=0.1 m, respectively.

See supplemental information for limitations. Davies, G., Griffin, J., Løvholt, F., Glimsdal, S., Harbitz C., Thio, H.K., Lorito, S., Basili, R., Selva, J., Geist, E., and Baptista, M.A. (2017), A global probabilistic tsunami hazard assessment from earthquake sources, Geological Society, London, Special Publications, 456, doi:10.1144/SP456.5

Løvholt, F., Griffin, J. & Salgado-Gàlvez, M. (2016). Tsunami hazard and risk assessment at a global scale. In: Meyers, R. (ed.) Encyclopedia of Complexity and Systems Science. Springer Science Business Media, New York, https://doi.org/10.1007/978-3-642-27737-5_642-1

NGI and Geoscience Australia (2015) UNISDR Global Assessment Report 2015 - GAR15, Tsunami methodology and result overview. NGI report 20120052-03-R

Data and Resources

Additional Info

Field Value
Last Updated April 7, 2020, 08:36 (CDT)
Created April 7, 2020, 08:36 (CDT)
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access_constraints ["Open Data Commons Open Database License / OSM (ODbL/OSM): You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors\nIf you alter or build upon our data, you may distribute the result only under the same licence. (http://www.openstreetmap.org/copyright)", "Data owned by the Commonwealth of Australia (Geoscience Australia) and NGI 2017.\nThis work may be used and distributed under the terms of the Creative Commons CCBY\nlicence: https://creativecommons.org/licenses/by/3.0/au/\n"]
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