A Response Function Approach for Rapid Far-Field Tsunami Forecasting
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Predicting tsunami impacts at remote coasts largely relies on tsunami en-route measurements in an open ocean. In this work, these measurements are used to generate instant tsunami predictions in deep water and near the coast. The predictions are generated as a response or a combination of responses to one or more tsunameters, with each response obtained as a convolution of real-time tsunameter measurements and a pre-computed pulse response function (PRF). Practical implementation of this method requires tables of PRFs in a 3D parameter space: earthquake location–tsunameter–forecasted site. Examples of hindcasting the 2010 Chilean and the 2011 Tohoku-Oki tsunamis along the US West Coast and beyond demonstrated high accuracy of the suggested technology in application to trans-Pacific seismically generated tsunamis.
KeywordsTsunami forecast DART station pulse response function source inversion boundary value problem
We acknowledge NOAA/NDBC for providing the DART records, NOAA/NOS for providing the tide gauge records, Ocean Networks Canada for providing the NEPTUNE records, and NOAA/NCEI for providing the bathymetry used in the numerical simulations. Dmitry Nicolsky acknowledges support for his work from the state of Alaska.
- Butler, R., Howe, B. M., & Science and Society Committee, J. (2014). ‘Green’ submarine telecommunication cables to monitor global change and tsunamis in the deep ocean. Abstract ID:17514. Ocean Sciences Meeting, 23–28 Feb. 2014, Honolulu, Hawaii USA.Google Scholar
- Gica, E., Spillane, M. C., Titov, V. V., Chamberlin, C. D., & Newman, J. C. (2008). Development of the forecast propagation database for NOAA’s Short-Term Inundation Forecast for Tsunamis (SIFT). NOAA Tech. Memo. OAR PMEL-139.Google Scholar
- Imamura, F. (1996). Review of tsunami simulation with a finite difference method. In H. Yeh, P. Liu, & C. Synolakis (Eds.), Long-wave runup models (pp. 25–42). Singapore: World Scientific.Google Scholar
- Maeda, T., Obara, K., Shinohara, M., Kanazawa, T., & Uehira, K. (2015). Successive estimation of a tsunami wavefield without earthquake source data: A data assimilation approach toward real-time tsunami forecasting. Geophysical Research Letters, 42, 7923–7932. doi: 10.1002/2015GL065588.CrossRefGoogle Scholar
- Nicolsky, D. J., Suleimani, E. N., Freymueller, J. T., & Koehler, R. D. (2015). Tsunami inundation maps of Fox Islands communities, including Dutch Harbor and Akutan, Alaska: Alaska Division of Geological & Geophysical Surveys Report of Investigation 2015-5, 67 p., 2 sheets, scale 1:12,500. doi: 10.14509/29414
- Suleimani, E. N., Nicolsky, D. J., & Koehler, R. D. (2013). Tsunami inundation maps of Sitka, Alaska: Alaska Division of Geological & Geophysical Surveys Report of Investigation 2013-3, 76 p., 1 sheet, scale 1:250,000. doi: 10.14509/26671
- Thomson, R., Fine, I., Rabinovich, A., Mihaly, S., Davis, E., Heesemann, M., et al. (2011). Observation of the 2009 Samoa tsunami by the NEPTUNE—Canada cabled observatory: Test data for an operational regional tsunami forecast model. Geophysical Research Letters, 38, L11701. doi: 10.1029/2011GL046728.CrossRefGoogle Scholar
- Titov, V. V., Mofjeld, H. O., Gonzalez, F. I., & Newman, J. C. (1999). Offshore forecasting of Hawaiian tsunamis generated in Alaska-Aleutian Subduction Zone. NOAA Tech. Memo. ERL PMEL-114, NTIS: PB2002-101567, NOAA/Pacific Marine Environmental Laboratory, Seattle, WA.Google Scholar
- Titov, V., Kanoglu, 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.1943-5460.0000357 (on-line first)
- Titov, V., Song, T., Tang, L., Bernard, E. N., Bar-Sever, Y., & Wei, Y. (2016). Consistent estimates of tsunami energy show promise for improved early warning. Pure and Applied Geophysics, 173, 3863-3880. doi: 10.1007/s00024-016-1312-1.
- Tolkova, E. (2016). Cliffs benchmarking. arXiv:1601.06486
- Wang, D. (2015). An ocean depth-correction method for reducing model errors in tsunami travel time: Application to the 2010 Chile and 2011 Tohoku tsunamis. Science of Tsunami Hazards, 34(1), 1–22.Google Scholar