Chapter 1 Introduction
1.1 Tsunami Early Warning
1.2 Numerical Modeling of Tsunami Propagation
1.3 Tsunami Data Assimilation Approach
1.4 Network of Offshore Bottom Pressure Gauges
1.5 Real-time Tsunami Detection
1.6 Objectives
Chapter 2 Green's Function-based Tsunami Data Assimilation (GFTDA)
2.1 Principles of GFTDA
2.2 Assimilation Process and Mathematical Equivalence
2.3 Validation Test-2012 Haida Gwaii Earthquake
2.4 Adoption of Linear Dispersive Model-2004 off the Kii Peninsula Earthquake
2.5 Application to Real-time Data-2015 Torishima Volcanic Tsunami Earthquake
2.6 Discussion
Chapter 3 Tsunami Data Assimilation with Interpolated Virtual Stations
3.1 Linear Interpolation with Huygens-Fresnel Principle
3.2 Test with Synthetic Data-2004 Sumatra-Andaman Earthquake3.3 Test with Real Data-2009 Dusky Sound Earthquake
3.4 Application to Far-field Event-2015 Illapel Earthquake
3.5 Discussion
Chapter 4 Real-Time Tsunami Detection based on Ensemble Empirical Mode Decomposition (EEMD)
4.1 EEMD
4.2 Validation Test-2016 Fukushima Earthquake
4.3 Discussion
Chapter 5 Real-time Tsunami Data Assimilation of S-net Pressure Gauge Records during the 2016 Fukushima Earthquake
5.1 Introduction
5.2 Data and Methods
5.3 Results
5.4 Discussion
Chapter 6 Tsunami Early Warning System Using Data Assimilation of Offshore Data
6.1 Practical Implementation
6.2 Future Improvements
Chapter 7 Summary
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