![]() Frontiers in Marine Science, 6, 350.Īnugrah, S. D. ![]() Ocean observations required to minimize uncertainty in global tsunami forecasts, warnings, and emergency response. ![]() Rupture process of the 2004 Sumatra-Andaman earthquake. J., Ji, C., Thio, H.-K., Robinson, D., Ni, S., Hjorleifsdottir, V., et al. ETOPO1 arc-minute global relief model: Procedures, data sources and analysis, NOAA, NESDIS(NGDC-24), 25pp.Īmmon, C. The Myshake Platform: A global vision for earthquake early warning. Journal of Geophysical Research: Solid Earth, 106(B4), 6595–6607.Īllen, R. The 1994 Java tsunami earthquake: Slip over a subducting seamount. E., Antolik, M., Felzer, K., & Ekström, G. Statistical analysis of our results shows that inclusion of such a SMART array can improve the important network parameters for the detection, evaluation and locating of seismic events.Ībercrombie, R. We also calculate seismic phase arrival times from six source scenarios at existing seismic stations and our proposed SMART cables. ![]() By simulating tsunamis from 58 submarine landslide scenarios in the region, we show that the SMART system can provide invaluable information in early warning against landslide tsunamis. Through these experiments we show that such an addition would result in up to several hours of improvement in the detection of earthquakes and tsunamis compared to the existing (minimal) DART systems in the northern and southern Indian Ocean. We use six rupture scenarios to calculate tsunami propagation using hydrodynamic simulations. We present results from a series of exploratory numerical experiments based on ocean bottom pressure and seismic data from a simulated linear array of SMART cable stations off the trench in the Sumatra-Java region. ![]()
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