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Titlebook: Global Tsunami Science: Past and Future, Volume I; Eric L Geist,Hermann M. Fritz,Yuichiro Tanioka Book Apr 20171st edition Springer Intern

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Possible worst-case tsunami scenarios around the Marmara Sea from combined earthquake and landslideymetry and topography data for the entire Marmara Sea region and validated with historical observations from the 1509 and 1894 earthquakes. This study implements TUNAMI model with a two-layer model to conduct numerical tsunami simulations, and the numerical results show that the maximum tsunami heig
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Consistent Estimates of Tsunami Energy Show Promise for Improved Early Warning,propagating tsunami waves; both approaches lead to consistent energy scales for previously studied tsunamis. Encouraged by these promising results, we examined a real-time approach to determine tsunami source energy by combining these two methods: first, determine the tsunami source from the globall
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Tsunami Detection by High-Frequency Radar Beyond the Continental Shelf,g wave physics is such that tsunami currents will only rise above noise and background currents (i.e., be at least 10–15 cm/s), and become detectable, in fairly shallow water which would limit the direct detection of tsunami currents by HF radar to nearshore areas, unless there is a very wide shallo
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Comparison and Computational Performance of Tsunami-HySEA and MOST Models for LANTEX 2013 Scenario:esides in computational time; .-. is coded using the advantages of GPU architecture, and can produce a 4 h simulation in a 60 arc-sec resolution grid for the whole Caribbean Sea in less than 4 min with a single GPU and as fast as 11 s with 32 GPUs. When details about the inundation must be simulated
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,Tsunami hazard assessment in the Hudson River Estuary based on dynamic tsunami–tide simulations, (MHW) level. Here, instead we simulate maximum inundation in the HRE resulting from dynamic interactions between the incident PMTs and a tide, which is calibrated to achieve MHW at its maximum level. To identify conditions leading to maximum tsunami inundation, each PMT is simulated for four differ
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Adjoint Methods for Guiding Adaptive Mesh Refinement in Tsunami Modeling,djoint methodology first in one space dimension for illustration and in a broad context since it could also be used in other adaptive software, and potentially for other tsunami applications beyond adaptive refinement. We then show how this adjoint method has been integrated into the adaptive mesh r
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