Skip to main content
Log in

Land–Water Boundary Treatment for a Tsunami Model With Dimensional Splitting

  • Published:
Pure and Applied Geophysics Aims and scope Submit manuscript

Abstract

The Method of Splitting Tsunamis (MOST) model adapted by National Oceanic and Atmospheric Administration (NOAA) for tsunami forecasting operations is praised for its computational efficiency, associated with the use of splitting technique. It will be shown, however, that splitting the computations between \(x\) and \(y\) directions results in specific sensitivity to the treatment of land–water boundary. Slight modification to the reflective boundary condition in MOST caused an appreciable difference in the results. This is demonstrated with simulations of the Tohoku-2011 tsunami from the source earthquake to Monterey Bay, California, and in southeast Alaska, followed by comparison with tide gage records. In the first case, the better representation of later waves (reflected from the coasts) by the modified model in a Pacific-wide simulation resulted in twice as long match between simulated and observed tsunami time histories at Monterey gage. In the second case, the modified model was able to propagate the tsunami wave and approach gage records at locations within narrow channels (Juneau, Ketchikan), to where MOST had difficulty propagating the wave. The modification was extended to include inundation computation. The resulting inundation algorithm (Cliffs) has been tested with the complete set of NOAA-recommended benchmark problems focused on inundation. The solutions are compared to the MOST solutions obtained with the version of the MOST model benchmarked for the National Tsunami Hazard Mitigation Program in 2011. In two tests, Cliffs and MOST results are very close, and in another two tests, the results are somewhat different. Very different regimes of generation/disposal of water by Cliffs and MOST inundation algorithms, which supposedly affected the benchmarking results, have been discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27

Similar content being viewed by others

References

  • Briggs, M. J., Synolakis, C. E., Harkins, G. S., and Green, D. R. (1995), Laboratory experiments of tsunami runup on a circular island. Pure Appl. Geophys., 144, 3/4, 569–593.

  • Burwell, D., Tolkova, E., and Chawla, A. (2007), Diffusion and Dispersion Characterization of a Numerical Tsunami Model. Ocean Model., 19 (1–2), 10–30. doi:10.1016/j.ocemod.2007.05.003.

  • Burwell, D., Tolkova, E, 2008. Curvilinear version of the MOST model with application to the coast-wide tsunami forecast, Part II. NOAA Tech. Memo. OAR PMEL-142, 28 pp.

  • Disaster Control Research Center. Tsunami Engineering Technical Report No. 11, Tohoku University, March 1994.

  • Gonzalez F.I., LeVeque R.J., Chamberlain P., Hirai B., Varkovitzky J., and George D.L., GeoClaw Model, In: [NTHMP] National Tsunami Hazard Mitigation Program. July 2012. Proceedings and Results of the 2011 NTHMP Model Benchmarking Workshop. Boulder: U.S. Department of Commerce/NOAA/NTHMP; NOAA Special Report. 436 p.

  • Hokkaido Tsunami Survey Group (1993), Tsunami devastates Japanese coastal region. Eos Trans. Am. Geophys. Union, 74(37), 417–432.

  • Imamura F., Tsunami Modeling: Calculating Inundation and Hazard Maps. In: The Sea, 15. Tsunamis. Ed: Bernard E. and Robinson A. Harvard University Press, Cambridge, MA, London, England 2009.

  • LeVeque, R.J., Finite volume methods for hyperbolic problems. Cambridge University Press, UK 2002.

  • Li, Y., and Raichlen, F. (2002), Non-breaking and breaking solitary wave run-up. J. Fluid Mech., 456, 295–318.

  • Liu, P.L.-F., Cho, Y.-S., Briggs, M., Kanoglu, U., and Synolakis, C. (1995), Runup of solitary waves on a circular island. Journal of Fluid Mech. 302, 259–285.

  • Liu, P.L.-F., Yeh, H., and Synolakis C. (2008), Advanced Numerical Models for Simulating Tsunami Waves and Runup. Advances in Coastal and Ocean Engineering, 10, 223–230.

  • Nicolsky, D.J., Suleimani, E.N., and Hansen, R.A. (2011), Validation and verification of a numerical model for tsunami propagation and runup. Pure Appl. Geophys. 168, 1199–1222.

  • [NTHMP] National Tsunami Hazard Mitigation Program, July 2012. Proceedings and Results of the 2011 NTHMP Model Benchmarking Workshop. Boulder: U.S. Department of Commerce/NOAA/NTHMP; NOAA Special Report. 436 p.

  • Roeber, V., Cheung, K.F., and Kobayashi, M.H. (2010), Shock-capturing Boussinesq-type model for nearshore wave processes. Coastal Engineering 57, 407–423.

  • Shi, F., Kirby, J.T., Harris, J.C., Geiman, J.D., Grilli, S.T. (2012), A high-order adaptive time-stepping TVD solver for Boussinesq modeling of breaking waves and coastal inundation. Ocean Modelling, 43–44, 36–51.

  • Strang, G. (1968), On the construction and comparison of difference schemes. SIAM Journal on Numerical Analysis, 5(3), 506–517.

  • Synolakis, C.E. (1987), The runup of solitary waves. J. Fluid Mech., 185, 523–545.

  • Synolakis, C.E., Bernard, E.N., Titov, V.V., Kanoglu, U., and Gonzalez, F.I. (2007), Standards, criteria, and procedures for NOAA evaluation of tsunami numerical models. NOAA Tech. Memo. OAR PMEL-135, NTIS: PB2007-109601, NOAA/Pacific Marine Environmental Laboratory, Seattle, WA, 55 pp.

  • Tang, L., Titov, V. V., and Chamberlin, C. D. (2009), Development, testing, and applications of site-specific tsunami inundation models for real-time forecasting, J. Geophys. Res., 114, C12025, doi:10.1029/2009JC005476.

  • Tang L., Titov, V.V., Bernard, E., Wei, Y., Chamberlin, C., Newman, J.C., Mofjeld, H., Arcas, D., Eble, M., Moore, C., Uslu, B., Pells, C., Spillane, M.C., Wright, L.M., and Gica, E. (2012), Direct energy estimation of the 2011 Japan tsunami using deep-ocean pressure measurements, J. Geophys. Res., VOL. 117, C08008, doi:10.1029/2011JC007635.

  • Takahashi, T. (1996), Benchmark problem 4: the 1993 Okushiri tsunami - Data, conditions and phenomena. In Long-Wave Runup Models, World Scientific, 384–403.

  • Titov, V. V., and Synolakis, C. E. (1995), Modeling of breaking and nonbreaking long-wave evolution and runup using VTCS-2, J. Waterw., Port, Coastal, Ocean Eng., 121(6), 308–316.

  • Titov, V., and Gonzalez F.I. (1997), Implementation and testing of the Method of Splitting Tsunami (MOST) model. NOAA Tech. Memo. ERL PMEL-112 (PB98-122773), NOAA/Pacific Marine Environmental Laboratory, Seattle, WA, 11 pp.

  • Titov, V. V., and Synolakis, C. E. (1998), Numerical modeling of tidal wave runup, J. Waterw., Port, Coastal, Ocean Eng., 124(4), 157–171.

  • Titov V. V., Gonzalez, F. I., Bernard, E. N., Eble, M. C., Mofjeld, H. O., Newman, J. C., and Venturato, A. J. (2005), Real - Time Tsunami Forecasting: Challenges and Solutions, Natural Hazards, 35:41–58.

  • Tolkova, E. (2012), MOST (Method of Splitting Tsunamis) Numerical Model. In: [NTHMP] National Tsunami Hazard Mitigation Program. Proceedings and Results of the 2011 NTHMP Model Benchmarking Workshop. Boulder: U.S. Department of Commerce/NOAA/NTHMP; NOAA Special Report. 436 p.

  • Van Dorn, W. G. (1984), Some tsunami characteristics deducible from tide records, J. Phys. Oceanogr., 14, 353–363.

  • Wei, Y., Mao, X.-Z., and CCheung, K.F. (2006), Well-Balanced Finite-Volume Model for Long-Wave Runup. Journal of Waterway, Port, Coastal, and Ocean Engineering, 132 (2), 114–124.

Download references

Acknowledgments

Author thanks tsunami modelers—participants of the 2011 NTHMP Model Benchmarking Workshop—for collecting and systemizing data used in this work for testing the inundation algorithm. In particular, bathymetric and land survey data for the Okushiri tsunami have been collected and refined by Dmitry Nicolsky and Frank Gonzalez. The analytical solution to the non-breaking solitary wave runup onto the sloping beach shown in Figs. 13 and 14, and the video frames of the wave-tank experiment with a model of Monai area shown in Figure 20, are courtesy of Dmitry Nicolsky. Author acknowledges NOAA/NOS for providing gauge records, and NOAA/NGDC for providing bathymetry data.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elena Tolkova.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 204 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tolkova, E. Land–Water Boundary Treatment for a Tsunami Model With Dimensional Splitting. Pure Appl. Geophys. 171, 2289–2314 (2014). https://doi.org/10.1007/s00024-014-0825-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00024-014-0825-8

Keywords

Navigation