A Pilot Tsunami Inundation Forecast System for Australia

  • Stewart C. R. AllenEmail author
  • Diana J. M. Greenslade
Part of the Pageoph Topical Volumes book series (PTV)


The Joint Australian Tsunami Warning Centre (JATWC) provides a tsunami warning service for Australia. Warnings are currently issued according to a technique that does not include explicit modelling at the coastline, including any potential coastal inundation. This paper investigates the feasibility of developing and implementing tsunami inundation modelling as part of the JATWC warning system. An inundation model was developed for a site in Southeast Australia, on the basis of the availability of bathymetric and topographic data and observations of past tsunamis. The model was forced using data from T2, the operational deep-water tsunami scenario database currently used for generating warnings. The model was evaluated not only for its accuracy but also for its computational speed, particularly with respect to operational applications. Limitations of the proposed forecast processes in the Australian context and areas requiring future improvement are discussed.


Digital Elevation Model Tsunami Warning Tsunami Inundation Inundation Model Inundation Extent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Allen, S. C. R., & Greenslade, D. J. M. (2010). Model-based tsunami warnings derived from observed impacts. Natural Hazards and Earth Systems Sciences, 10(2631–2642), 2010. doi: 10.5194/nhess-10-2631-2010.CrossRefGoogle Scholar
  2. Bernard, E., & Titov, V. (2015). Evolution of tsunami warning systems and products. Philosophical Transactions of the Royal Society A, 373(2053), 20140371. doi: 10.1098/rsta.2014.0371.CrossRefGoogle Scholar
  3. Borrero, J. C., Sieh, K., Chlieh, M., & Synolakis, C. E. (2006). Tsunami inundation modelling for western Sumatra. Proceedings of the National Academy of Sciences of the United States of America, 103, 19673.CrossRefGoogle Scholar
  4. Catterall, C., Catterall, K., Claussen, W., Claussen, D., King, B., King, M., McNamara, D., Parsons, J., Parsons, M., Simons, M. & Treble, R. (1994). A Living History of Port Kembla. The Living History Team.Google Scholar
  5. Gonzalez, F. I., Titov, V. V., Mofjeld, H. O., Venturato, A. J., Simmons, S., Hansen, R., et al. (2005). Progress in NTHMP hazard assessment. Natural Hazards,35, 89–110.CrossRefGoogle Scholar
  6. Greenslade, D. J. M., Allen, S. C. R., & Simanjuntak, M. A. (2010). An Evaluation of Tsunami Forecasts from the T2 Scenario Database. Pure and Applied Geophysics, 168(6–7), 1137–1151. doi: 10.1007/s00024-010-0229-3.CrossRefGoogle Scholar
  7. Greenslade, D.J.M., Simanjuntak, M.A. & Allen, S.C.R. (2009). An enhanced tsunami scenario database: T2, CAWCR Technical Report No. 014, Melbourne: Bureau of Meteorology, 30 pp.Google Scholar
  8. Grilli, S. T., O’Reilly, C., Harris, J. C., Tajalli Bakhsh, T., Tehranirad, B., Banihashemi, S., et al. (2015). Modeling of SMF tsunami hazard along the upper U. S. East Coast: Detailed impact around Ocean City, MD. Natural Hazards, 76, 705–746. doi: 10.1007/s11069-014-1522-8.CrossRefGoogle Scholar
  9. Gusman, A. R., Tanioka, Y., MacInnes, B. T., & Tsushima, H. (2014). A methodology for near-field tsunami inundation forecasting: application to the 2011 Tohoku tsunami. Journal of Geophysical Research: Solid Earth, 119(11), 8186–8206.Google Scholar
  10. Hinwood, J. B., & Mclean, E. J. (2012). Effects of the March 2011 Japanese tsunami in bays and estuaries of SE Australia. Pure and Applied Geophysics, 170(6), 1207–1227. doi: 10.1007/s00024-012-0561-x.CrossRefGoogle Scholar
  11. Horspool, N., Griffin, J. & Van Putten, K. (2010). Tsunami modelling validation: the impact of the 2004 Indian Ocean Tsunami on Geraldton, Western Australia, Geoscience Australia Record 2010/01.Google Scholar
  12. Løvholt, F., Kaiser, G., Glimsdal, S., Scheele, L., Harbitz, C. B. & Pedersen, G. (2012). Modeling propagation and inundation of the 11 March 2011 Tohoku tsunami. Natural Hazards and Earth System Sciences, 12, 1017–1028, doi: 10.5194/nhess-12-1017-2012.CrossRefGoogle Scholar
  13. Mofjeld, H. O., Titov, V. V., Gonzalez, F. I., & Newman, J. C. (2001). Tsunami scattering provinces in the Pacific Ocean. Geophysical Research Letters V, 28(2), 335–338.CrossRefGoogle Scholar
  14. NSW State Emergency Service and Office of Environment and Heritage (2012). Final Draft NSW Tsunami Inundation Modelling and Risk Assessment, Cardno Technical Report LJ2874/Rep2703, 87 pp.Google Scholar
  15. Oishi, Y., Imamura, F., & Sugawara, D. (2015). Near-field tsunami inundation forecast using the parallel TUNAMI-N2 model: application to the 2011 Tohoku-Oki earthquake combined with source inversions. Geophysical Research Letters,. doi: 10.1002/2014GL062577.CrossRefGoogle Scholar
  16. Tang, L., Titov, V. V., & Chamberlin, C. D. (2009). Development, testing, and applications of site-specific tsunami inundation models for real-time forecasting. Journal Geophysical Research, 114, C12025. doi: 10.1029/2009JC005476.CrossRefGoogle Scholar
  17. Titov, V., Kânoğlu, U., & Synolakis, C. (2016). Development of MOST for Real-Time Tsunami Forecasting. Journal of Waterway, Port, Coastal, and Ocean Engineering,. doi: 10.1061/(ASCE)WW.1943-5460.000035703116004.CrossRefGoogle Scholar
  18. Titov, V. V., Moore, C., Greenslade, D. J. M., Pattiaratchi, C., Badal, R., Synolakis, C. E., et al. (2011). A new tool for inundation modeling: community Modeling Interface for Tsunamis (ComMIT). Pure and Applied Geophysics,. doi: 10.1007/s00024-011-0292-42121-2131.CrossRefGoogle Scholar
  19. Titov, V. V., Rabinovich, A. B., Mofjeld, H. O., Thomson, R. E., & González, F. I. (2005). The Global Reach of the 26 December 2004 Sumatra Tsunami. Science, 309(5743), 2045–2048. doi: 10.1126/science.1114576.CrossRefGoogle Scholar
  20. Titov, V. V., & Synolakis, C. S. (1998). Numerical modeling of tidal wave runup. Journal of Waterway, Port, Coastal, and Ocean Engineering, 124(4), 157–171. doi: 10.1061/(ASCE)0733-950X(1998)124:4(157).CrossRefGoogle Scholar
  21. Uslu, B., & Greenslade, D. J. M. (2013). Validation of Tsunami Warning Thresholds Using Inundation Modelling, CAWCR Technical. 062, Melbourne: Bureau of Meteorology, 17 pp.Google Scholar
  22. Wei, Y., Fritz, H., Titov, V., Uslu, B., Chamberlin, C., & Kalligeris, N. (2015). Source models and near-field impact of the April 1, 2007 Solomon Islands tsunami. Pure and Applied Geophysics,. doi: 10.1007/s00024-014-1013-6657-682.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing 2016

Authors and Affiliations

  • Stewart C. R. Allen
    • 1
    Email author
  • Diana J. M. Greenslade
    • 1
  1. 1.Research and Development BranchAustralian Bureau of MeteorologyMelbourneAustralia

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