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Global Tsunami Science: Past and Future, Volume I pp 3955–3971Cite as

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A Pilot Tsunami Inundation Forecast System for Australia

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Abstract

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.

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References

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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).

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Research and Development Branch, Australian Bureau of Meteorology, GPO Box 1289, 3001, Melbourne, VIC, Australia

    Stewart C. R. Allen & Diana J. M. Greenslade

Authors
  1. Stewart C. R. Allen
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  2. Diana J. M. Greenslade
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Corresponding author

Correspondence to Stewart C. R. Allen .

Editor information

Editors and Affiliations

  1. U.S. Geological Survey MS 999, Middlefield Rd 345, 94025, Menlo Park, CA, USA

    Eric L Geist

  2. Georgia Inst of Technology Sch of Civil & Environmental Eng, Atlantic Dr 790, 30332, Atlanta, GA, USA

    Hermann M. Fritz

  3. Russian Academy of Sciences P.P. Shirshov Institute of Oceanology, Nakhimovski Prospect 36, 117997, Moskva, Russia

    Alexander B. Rabinovich

  4. Hokkado University, N10W8, Kita-ku, 060-0810, Sapporo, Japan

    Yuichiro Tanioka

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Allen, S.C.R., Greenslade, D.J.M. (2016). A Pilot Tsunami Inundation Forecast System for Australia. In: Geist, E.L., Fritz, H.M., Rabinovich, A.B., Tanioka, Y. (eds) Global Tsunami Science: Past and Future, Volume I. Pageoph Topical Volumes. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-55480-8_15

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