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JDR Vol.13 No.3 pp. 453-459
(2018)
doi: 10.20965/jdr.2018.p0453

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Role of Real-Time GNSS in Near-Field Tsunami Forecasting

Yusaku Ohta*,†, Takuya Inoue**, Shunichi Koshimura**, Satoshi Kawamoto***, and Ryota Hino*

*Research Center for Prediction of Earthquakes and Volcanic Eruptions, Graduate School of Science, Tohoku University
6-6 Aramaki-Aza-Aoba, Aoba-ku, Sendai 980-8578, Japan

†Corresponding author

**International Research Institute of Disaster Science, Tohoku University, Sendai, Japan

***Geospatial Information Authority of Japan, Tsukuba, Japan

Received:
November 18, 2017
Accepted:
January 31, 2018
Published:
June 1, 2018
Creative Commons License
Keywords:
real-time GNSS, near-field tsunami early warning, rapid magnitude determination, reliable forecasting, tsunami inundation
Abstract

This short paper reviews the role of real-time global navigation satellite system (GNSS) in near-field tsunami forecasting. Recent efforts highlight that coseismic fault model estimation based on real-time GNSS has contributed substantially to our understanding of large magnitude earthquakes and their fault expansions. We briefly introduce the history of use of real-time GNSS processing in the rapid estimation of the coseismic finite fault model. Additionally, we discuss our recent trials on the estimation of quasi real-time tsunami inundation based on real-time GNSS data. Obtained results clearly suggest the effectiveness of real-time GNSS for tsunami inundation estimation as the GNSS can capture fault expansion and its slip amount in a relatively accurate manner within a short time period. We also discuss the future prospects of using real-time GNSS data for tsunami warning including effective combination of different methods for more reliable forecasting.

Cite this article as:
Y. Ohta, T. Inoue, S. Koshimura, S. Kawamoto, and R. Hino, “Role of Real-Time GNSS in Near-Field Tsunami Forecasting,” J. Disaster Res., Vol.13 No.3, pp. 453-459, 2018.
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