Role of real-time GNSS in near-field tsunami forecasting

Yusaku Ohta, Takuya Inoue, Shunichi Koshimura, Satoshi Kawamoto, Ryota Hino

Research output: Contribution to journalReview articlepeer-review

14 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)453-459
Number of pages7
JournalJournal of Disaster Research
Issue number3
Publication statusPublished - 2018 Jun


  • Near-field tsunami early warning
  • Rapid magnitude determination
  • Real-time GNSS
  • Reliable forecasting
  • Tsunami inundation


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