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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/104423


    Title: Tsunami data assimilation of Cascadia seafloor pressure gauge records from the 2012 Haida Gwaii earthquake
    Authors: 佐竹健治;Gusman, Aditya Riadi;Sheehan, Anne F.;Satake, Kenji;Heidarzadeh, Mohammad;Mulia, Iyan Eka;Maeda, Takuto
    Contributors: 地球科學學院地球科學學系
    Keywords: Arrays;Cascadia subduction zone;Data;Data assimilation;Data collection;dense pressure gauges array;Earthquake prediction;Earthquakes;Emergency warning programs;fault slip distribution;Forecasting;Gauges;Lead time;Marine;Mathematical models;Ocean floor;Offshore;Pressure;Pressure gages;Pressure gauges;Production methods;Real time;Sea beds;Seismic activity;the 2012 Haida Gwaii earthquake;tsunami data assimilation;tsunami forecast;Tsunamis;Warning systems;Waveforms
    Date: 2016-05-16
    Issue Date: 2026-04-23 11:49:59 (UTC+8)
    Publisher: Wiley-Blackwell;Washington: John Wiley & Sons, Inc
    Abstract: 摘要: We use tsunami waveforms recorded on a dense array of seafloor pressure gauges offshore Oregon and California from the 2012 Haida Gwaii, Canada, earthquake to simulate the performance of two different real‐time tsunami‐forecasting methods. In the first method, the tsunami source is first estimated by inversion of recorded tsunami waveforms. In the second method, the array data are assimilated to reproduce tsunami wavefields. These estimates can be used for forecasting tsunami on the coast. The dense seafloor array provides critical data for both methods to produce timeliness (>30 min lead time) and accuracy in both timing and amplitude (>94% confidence) tsunami forecasts. Real‐time tsunami data on dense arrays and data assimilation can be tested as a possible new generation tsunami warning system. Key Points First demonstration of tsunami data assimilation method using seafloor pressure gauge array records Inverted tsunami source for the 2012 Haida Gwaii earthquake consists of large fault slip and bathymetric slope displacement effect Assimilation of dense tsunami data yields forecast similar to forward simulation from the source model
    出版者: Washington: John Wiley & Sons, Inc
    出版日期: 2016-05-16
    出處: Geophysical research letters, 2016-05, Vol.43 (9), p.4189-4196
    資源來源: Wiley Online Library Journals
    版權: 2016. American Geophysical Union. All Rights Reserved.
    識別號: ISSN: 0094-8276
    識別號: EISSN: 1944-8007
    識別號: DOI: 10.1002/2016GL068368
    Appears in Collections:[Department of Earth Sciences ] journal & Dissertation

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