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Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic of GPS data: application to the Tohoku 2011 tsunami

Pure and Applied Geophysics

By:
, , , , and
DOI: 10.1007/s00024-014-0777-z

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Abstract

Correctly characterizing tsunami source generation is the most critical component of modern tsunami forecasting. Although difficult to quantify directly, a tsunami source can be modeled via different methods using a variety of measurements from deep-ocean tsunameters, seismometers, GPS, and other advanced instruments, some of which in or near real time. Here we assess the performance of different source models for the destructive 11 March 2011 Japan tsunami using model–data comparison for the generation, propagation, and inundation in the near field of Japan. This comparative study of tsunami source models addresses the advantages and limitations of different real-time measurements with potential use in early tsunami warning in the near and far field. The study highlights the critical role of deep-ocean tsunami measurements and rapid validation of the approximate tsunami source for high-quality forecasting. We show that these tsunami measurements are compatible with other real-time geodetic data, and may provide more insightful understanding of tsunami generation from earthquakes, as well as from nonseismic processes such as submarine landslide failures.

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Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic of GPS data: application to the Tohoku 2011 tsunami
Series title:
Pure and Applied Geophysics
DOI:
10.1007/s00024-014-0777-z
Edition:
Online First
Volume
171
Issue:
12
Year Published:
2014
Language:
English
Publisher:
Springer
Contributing office(s):
Geologic Hazards Science Center
Description:
25 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Pure and Applied Geophysics
First page:
3281
Last page:
3305
Country:
Japan
Other Geospatial:
Honshu
Online Only (Y/N):
N
Additional Online Files(Y/N):
N