DOI: 10.1002/2015GL065588
论文题名: Successive estimation of a tsunami wavefield without earthquake source data: A data assimilation approach toward real-time tsunami forecasting
作者: Maeda T. ; Obara K. ; Shinohara M. ; Kanazawa T. ; Uehira K.
刊名: Geophysical Research Letters
ISSN: 0094-8546
EISSN: 1944-8277
出版年: 2015
卷: 42, 期: 19 起始页码: 7923
结束页码: 7932
语种: 英语
英文关键词: data assimilation
; numerical simulation
; ocean bottom pressure gauges
; subduction zone earthquake
; tsunami forecasting
; tsunami wave propagation
Scopus关键词: Computer simulation
; Earthquakes
; Finite difference method
; Forecasting
; Geophysics
; Numerical models
; Surface waters
; Wave propagation
; Bottom pressures
; Data assimilation
; Subduction-zone earthquakes
; Tsunami forecasting
; Tsunami waves
; Tsunamis
; data assimilation
; forecasting method
; gauge
; numerical model
; ocean bottom seismometer
; real time
; sea surface height
; seismic source
; subduction zone
; tsunami
; wave height
; wave propagation
; wave velocity
; Japan Trench
; Pacific Ocean
英文摘要: We propose a tsunami forecasting method based on a data assimilation technique designed for dense tsunameter networks. Rather than using seismic source parameters or initial sea surface height as the initial condition of for a tsunami forecasting, it estimates the current tsunami wavefield (tsunami height and tsunami velocity) in real time by repeatedly assimilating dense tsunami data into a numerical simulation. Numerical experiments were performed using a simple 1-D station array and the 2-D layout of the new S-net tsunameter network around the Japan Trench. Treating a synthetic tsunami calculated by the finite-difference method as observed data, the data assimilation reproduced the assumed tsunami wavefield before the tsunami struck the coastline. Because the method estimates the full tsunami wavefield, including velocity, these wavefields can be used as initial conditions for other tsunami simulations to calculate inundation or runup for real-time forecasting. Key Points We propose a tsunami forecasting method based on successive data assimilation Assimilation directly estimates tsunami height and velocity without using a source Simulation successfully estimates a tsunami using a planned tsunameter network © 2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947026481&doi=10.1002%2f2015GL065588&partnerID=40&md5=4b388b8c1d48c3bcc5d31f9ad59cc583
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8162
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Earthquake Research Institute, University of Tokyo, Tokyo, Japan
Recommended Citation:
Maeda T.,Obara K.,Shinohara M.,et al. Successive estimation of a tsunami wavefield without earthquake source data: A data assimilation approach toward real-time tsunami forecasting[J]. Geophysical Research Letters,2015-01-01,42(19).