@article{9add0839eb584aad8bb80001ce296bf9,
title = "Role of real-time GNSS in near-field tsunami forecasting",
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.",
keywords = "Near-field tsunami early warning, Rapid magnitude determination, Real-time GNSS, Reliable forecasting, Tsunami inundation",
author = "Yusaku Ohta and Takuya Inoue and Shunichi Koshimura and Satoshi Kawamoto and Ryota Hino",
note = "Funding Information: We are grateful to the GSI for providing the GEONET GNSS data. We would like to thank anonymous reviewer and the editors for their helpful comments. This study was partly supported by the JSTCREST Grant Number JPMJCR1411, Japan. This study was also partly supported by the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan, under its Earthquake and Volcano Hazards Observation and Research Program. This work was also supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Numbers 15H03713 and 17H06108. Funding Information: We are grateful to the GSI for providing the GEONET GNSS data. We would like to thank anonymous reviewer and the editors for their helpful comments. This study was partly supported by the JST CREST Grant Number JPMJCR1411, Japan. This study was also partly supported by the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan, under its Earthquake and Volcano Hazards Observation and Research Program. This work was also supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Numbers 15H03713 and 17H06108. Publisher Copyright: {\textcopyright} 2018, Fuji Technology Press. All rights reserved.",
year = "2018",
month = jun,
doi = "10.20965/jdr.2018.p0453",
language = "English",
volume = "13",
pages = "453--459",
journal = "Journal of Disaster Research",
issn = "1881-2473",
publisher = "Fuji Technology Press",
number = "3",
}