Numerical model to compute tsunami propagation and runup on land in the shallow-water approximation. Cliffs features: Shallow-Water approximation; Use of Cartesian or spherical (lon/lat) coordinates; 1D and 2D configurations; Structured co-located grid with (optionally) varying spacing; Run-up on land; Initial conditions or boundary forcing; Grid nesting with one-way coupling; Parallelized with OpenMP; NetCDF format of input/output data. Cliffs utilizes VTCS-2 finite-difference scheme and dimensional splitting as in (Titov and Synolakis, 1998), and reflection and inundation computations as in (Tolkova, 2014). References: Titov, V.V., and C.E. Synolakis. Numerical modeling of tidal wave runup. J. Waterw. Port Coast. Ocean Eng., 124(4), 157–171 (1998) Tolkova E. Land-Water Boundary Treatment for a Tsunami Model With Dimensional Splitting. Pure and Applied Geophysics, 171(9), 2289-2314 (2014)

TsunamiInundationRunup on landShallow-water model



Initial contribute: 2021-09-14


NorthWest Research Associates, Inc.
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Application-focused categoriesNatural-perspectiveLand regions
Application-focused categoriesNatural-perspectiveOcean regions
Application-focused categoriesIntegrated-perspectiveRegional scale

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English {{currentDetailLanguage}} English

The proposed algorithm, named Cliffs, is generalized to efficiently handle land inundation. The rest of the work presents testing Cliffs inundation algorithm with canonical benchmark problems: runup of a non-breaking and a breaking wave on a plane sloping beach (SYNOLAKIS 1987), runup on a conical island (BRIGGSet al. 1995), simulation of a wave-tank experiment with a scaled model of Monai Valley (LIUet al.2008), and simulation of the Okushiri Island inundation in the 1993 Hokkaido tsunami (TAKAHASHI1996). Cliffs solutions to the benchmark problems are compared to the MOST solutions obtained with the version of the MOST model benchmarked for NTHMP in 2011 (TOLKOVA2012). Given that the two models share the same propagation part, this comparative bench- marking provided a rare opportunity to observe variability in the results due to an inundation algorithm alone. Very different regimes of generation/ removal of water and momentum by Cliffs and MOST inundation algorithms, which supposedly affected the benchmarking results, have been discussed.



Elena Tolkova (2021). Cliffs, Model Item, OpenGMS,


Initial contribute : 2021-09-14



NorthWest Research Associates, Inc.
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