Premium
tFISH/RAPiD: Rapid improvement of near‐field tsunami forecasting based on offshore tsunami data by incorporating onshore GNSS data
Author(s) -
Tsushima Hiroaki,
Hino Ryota,
Ohta Yusaku,
Iinuma Takeshi,
Miura Satoshi
Publication year - 2014
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1002/2014gl059863
Subject(s) - gnss applications , geology , submarine pipeline , inversion (geology) , global positioning system , seismology , geodesy , remote sensing , tectonics , computer science , telecommunications , oceanography
We have developed a new algorithm that improves near‐field tsunami forecasting based on offshore tsunami data soon after an earthquake by incorporating real‐time onshore Global Navigation Satellite System (GNSS) data. In our algorithm, called tFISH/RAPiD (tsunami Forecasting based on Inversion for initial sea‐Surface Height/Real‐time Automatic detection method for Permanent Displacement), the initial sea surface height distribution estimated from rapidly acquired GNSS data provides robust finite source size information that is incorporated into an offshore tsunami data inversion for reliable tsunami predictions along the near‐field coast. Our algorithm can be applicable to arbitrary types of large tsunamigenic earthquakes when the static displacements are substantial enough to be detected at onshore GNSS stations. We retrospectively applied our algorithm to the 2011 M w 9.0 Tohoku earthquake and demonstrated its ability to provide information about disastrous tsunamis approaching wide areas along the near‐field coast. Furthermore, arrival times and wave heights of large‐amplitude, short‐period tsunamis affecting specific near‐field coasts can be predicted at least 5 min before the actual tsunami arrivals.