AbstractSince near-field-generated tsunamis can arrive within a few minutes to coastal communities and cause immense damage to life and property, tsunami forecasting systems should provide not only accurate but also rapid tsunami run-up estimates. For this reason, most of the tsunami forecasting systems rely on pre-computed databases, which can forecast tsunamis rapidly by selecting the most closely matched scenario from the databases. However, earthquakes not included in the database can occur, and the resulting error in the tsunami forecast may be large for these earthquakes. In this study, we present a new method that can forecast near-field tsunami run-up estimates for any combination of earthquake fault parameters on a real topography in near real-time, hereafter called the Tsunami Run-up Response Function (TRRF).
Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/tw1D29dDxmY
Catalán, P. A., Aránguiz, R., González, G., ... & Gubler, A. (2015): The 1 April 2014 Pisagua tsunami: observations and modeling. Geophysical Research Letters, WILEY, vol. 42, no.8, pp. 2918-2925.
Lee, J.-W., Irish, J. L. & Weiss, R. (2018): Development of a tsunami run-up response function and application to northern Puerto Rico, AGU Fall Meeting, Dec. 10-14.
Lee, J.-W., Irish, J.L. & Weiss, R. (2020): Rapid prediction of alongshore run-up distribution from near-field tsunamis. Natural Hazards, SPRINGER.
Okal, E. A., & Synolakis, C. E. (2004): Source discriminants for near-field tsunamis. Geophysical Journal International, OXFORD ACADEMIC, vol. 158, no. 3, pp. 899–912.
Popinet, S. (2015): A quadtree-adaptive multigrid solver for the Serre–Green–Naghdi equations. Journal of Computational Physics, ELSEVIER, vol. 302, pp. 336-358.
This work is licensed under a Creative Commons Attribution 4.0 International License.