Tadashi Ishikawa

Mr. Tadashi Ishikawa

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 June 2011 in Science
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Journal Article
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MSMariko Sato
Mariko Sato
TITadashi Ishikawa
Tadashi Ishikawa
NUNaoto Ujihara
Naoto Ujihara
SYShigeru Yoshida
Shigeru Yoshida
MFMasayuki Fujita
Masayuki Fujita
AAAkira Asada
Akira Asada
The Quake That Rocked Japan: The 11 March 2011 magnitude 9.0 Tohoku-Oki megathrust earthquake just off the Eastern coast of Japan was one of the largest earthquakes in recorded history. Japan's considerable investment in seismic and geodetic networks allowed for the collection of rapid and reliable data on the mechanics of the earthquake and the devastating tsunami that followed (see the Perspective by Heki ). Sato et al. (p. 1395 , published online 19 May) describe the huge displacements from ocean bottom transponders—previously placed directly above the earthquake's hypocenter—communicating with Global Positioning System (GPS) receivers aboard a ship. Simons et al. (p. 1421 , published online 19 May) used land-based GPS receivers and tsunami gauge measurements to model the kinematics and extent of the earthquake, comparing it to past earthquakes in Japan and elsewhere. Finally, Ide et al. (p. 1426 , published online 19 May) used finite-source imaging to model the evolution of the earthquake's rupture that revealed a strong depth dependence in both slip and seismic energy. These initial results provide fundamental insights into the behavior of rare, very large earthquakes that may aid in preparation and early warning efforts for future tsunamis following subduction zone earthquakes.

10 March 2006 in Earth, Planets and Space
Verified
Journal Article
Open access
MFMasayuki Fujita
Masayuki Fujita
TITadashi Ishikawa
Tadashi Ishikawa
MMMasashi Mochizuki
Masashi Mochizuki
MSMariko Sato
Mariko Sato
STShin-Ichi Toyama
Shin-Ichi Toyama
OCOscar L. Colombo
Oscar L. Colombo
We have been developing a system for detecting seafloor crustal movement by combining kinematic GPS and acoustic ranging techniques. A linear inversion method is adopted to determine the position of seafloor stations from coordinates of a moving survey vessel and measured travel times of acoustic waves in seawater. The positioning accuracy is substantially improved by estimating the temporal variation of the acoustic velocity structure. We apply our method to the ranging data acquired at the seafloor reference point, MYGI, located off Miyagi Prefecture, in northeast Japan, where a huge earthquake is expected to occur in the near future. A time series of horizontal coordinates of MYGI obtained from seven campaign observations for the period 2002–2005 exhibits a linear trend with a scattering rms of about 2 cm. A linear fit to the time series gives an intraplate crustal velocity of more than several centimeters per year towards the WNW, which implies strong interplate coupling around this region. The precision of each campaign solution was examined at MYGI and other seafloor reference points along the Nankai Trough through comparison of independent one-day subset solutions within the campaign. The resultant repeatability looks to be well-correlated with the temporal and spatial stability of the acoustic velocity structure in the seawater depending on the region as well as the season.

28 August 2014 in Geophysical Research Letters
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SWShun‐Ichi Watanabe
Shun‐Ichi Watanabe
MSMariko Sato
Mariko Sato
MFMasayuki Fujita
Masayuki Fujita
TITadashi Ishikawa
Tadashi Ishikawa
Yusuke YokotaYusuke Yokota
Yusuke Yokota
AAAkira Asada
Akira Asada

17 January 2020 in Science Advances
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Yusuke YokotaYusuke Yokota
Yusuke Yokota
TITadashi Ishikawa
Tadashi Ishikawa
Slow slip events discovered around the shallow side of coupling regions have a spatiotemporal relationship with other slow earthquakes.

20 November 2020 in Frontiers in Earth Science
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SWShun-Ichi Watanabe
Shun-Ichi Watanabe
TITadashi Ishikawa
Tadashi Ishikawa
Yusuke YokotaYusuke Yokota
Yusuke Yokota
YNYuto Nakamura
Yuto Nakamura
Global Navigation Satellite System–Acoustic ranging combined seafloor geodetic technique (GNSS-A) has extended the geodetic observation network into the ocean. The key issue for analyzing the GNSS-A data is how to correct the effect of sound speed variation in the seawater. We constructed a generalized observation equation and developed a method to directly extract the gradient sound speed structure by introducing appropriate statistical properties in the observation equation, especially the data correlation term. In the proposed scheme, we calculate the posterior probability based on the empirical Bayes approach using the Akaike’s Bayesian Information Criterion for model selection. This approach enabled us to suppress the overfitting of sound speed variables and thus to extract simpler sound speed field and stable seafloor positions from the GNSS-A dataset. The proposed procedure is implemented in the Python-based software “GARPOS” (GNSS-Acoustic Ranging combined POsitioning Solver).

11 September 2018 in Scientific Data
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Yusuke YokotaYusuke Yokota
Yusuke Yokota
TITadashi Ishikawa
Tadashi Ishikawa
SWShun-Ichi Watanabe
Shun-Ichi Watanabe
Crustal deformation data obtained by geodetic observation networks are foundations in the fields of geodesy and seismology. These data are essential for understanding plate motion and earthquake sources and for simulating earthquake and tsunami scenarios. Although relatively scarce, seafloor geodetic data are particularly important for monitoring the behaviour of undersea interplate boundary regions. Since the mid-1990s, we have been developing the combined Global Navigation Satellite System-Acoustic ranging (GNSS-A) technique for realizing seafloor geodesy. This technique allows us to collect time series of seafloor crustal deformation. Our published data can be used to investigate several seismological phenomena along the subduction zones around Japan, namely the Nankai Trough, Sagami Trough and Japan Trench. These regions are globally important places in geodesy and seismology and are also suitable for comparison with other geophysical datasets. Our intention is for these data to promote further understanding of megathrust zones.