Developing Tsunami-Resilient Communities
DOI: 10.1007/1-4020-3607-8_3
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Real-Time Tsunami Forecasting: Challenges and Solutions

Abstract: Abstract.A new method for real-time tsunami forecasting will provide NOAA's Tsunami Warning Centers with forecast guidance tools during an actual tsunami event. PMEL has developed the methodology of combining real-time data from tsunameters with numerical model estimates to provide site-and event-specific forecasts for tsunamis in real time. An overview of the technique and testing of this methodology is presented.

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Cited by 125 publications
(136 citation statements)
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“…These studies can be broadly divided into two categories: with a priori assumptions on the fault model (e.g. Satake, 1987Satake, , 1993Hirata et al, 2003;Titov et al, 2005), and without a priori assumptions on the source, namely , Satake et al (2005), Tsushima et al (2009), Wu andHo (2011) and Yasuda and Mase (2012).…”
Section: Inversion Methodologymentioning
confidence: 99%
“…These studies can be broadly divided into two categories: with a priori assumptions on the fault model (e.g. Satake, 1987Satake, , 1993Hirata et al, 2003;Titov et al, 2005), and without a priori assumptions on the source, namely , Satake et al (2005), Tsushima et al (2009), Wu andHo (2011) and Yasuda and Mase (2012).…”
Section: Inversion Methodologymentioning
confidence: 99%
“…The use of unit sources have become increasingly popular for PTHA (Geist and Parsons, 2006;Burbidge et al, 2009;Power et al, 2012) and tsunami early warning systems (Titov et al, 2005;Greenslade et al, 2011) due to their computational efficiency at calculating the tsunami hazard for a large number of sites over a large area. The fundamental assumption in using a unit source approach is that tsunami waves behave linearly in deep to moderate water depths .…”
Section: Unit Source Methodsmentioning
confidence: 99%
“…The Earth science community often relies on numerical models to better understand tsunami physics (e.g., Titov and Synolakis 1998;Tanioka and Satake 1996;Kowalik 2003), perform hazard assessments (e.g., Geist and Parsons 2006;Borrero et al 2006;González et al 2009), and plan for early warning (e.g., Titov et al 2005;Melgar and Bock 2013;Behrens et al 2010). …”
Section: Introductionmentioning
confidence: 99%