Earthquake forecasting system based on sequential data assimilation of slip on the plate boundary

Takane Hori; Shin'ichi Miyazaki; Mamoru Hyodo; Ryoko Nakata; Yoshiyuki Kaneda

doi:10.11345/nctam.62.179

Earthquake forecasting system based on sequential data assimilation of slip on the plate boundary

Takane Hori, Shin'ichi Miyazaki, Mamoru Hyodo, Ryoko Nakata, Yoshiyuki Kaneda

Research output: Contribution to journal › Article

7 Citations (Scopus)

Abstract

An earthquake forecasting system based on sequential data assimilation of slip on the plate boundary is constructed. Sequential Importance Sampling, a type of particle filter, is used for the data assimilation. A forward calculation is made using an earthquake generation cycle simulation. From the simulation results, we estimate crustal deformation that can be compared with observations of the GNSS Earth Observation Network System (GEONET) on land and the Dense Ocean Floor Network for Earthquakes and Tsunamis (DONET) on the seafloor. We demonstrate a numerical test of this system using synthetic data of seafloor deformation before virtual Nankai earthquakes. We also use a real GEONET data set to compare the results of earthquake generation cycles.

Original language	English
Pages (from-to)	179-189
Number of pages	11
Journal	Theoretical and Applied Mechanics Japan
Volume	62
DOIs	https://doi.org/10.11345/nctam.62.179
Publication status	Published - 2014 Jan 1
Externally published	Yes

ASJC Scopus subject areas

Mathematics(all)
Condensed Matter Physics
Mechanics of Materials

Access to Document

10.11345/nctam.62.179

Fingerprint Dive into the research topics of 'Earthquake forecasting system based on sequential data assimilation of slip on the plate boundary'. Together they form a unique fingerprint.

Cite this

Hori, T., Miyazaki, S., Hyodo, M., Nakata, R., & Kaneda, Y. (2014). Earthquake forecasting system based on sequential data assimilation of slip on the plate boundary. Theoretical and Applied Mechanics Japan, 62, 179-189. https://doi.org/10.11345/nctam.62.179

@article{793ccace60db4f4cb782ff229f76b973,

title = "Earthquake forecasting system based on sequential data assimilation of slip on the plate boundary",

abstract = "An earthquake forecasting system based on sequential data assimilation of slip on the plate boundary is constructed. Sequential Importance Sampling, a type of particle filter, is used for the data assimilation. A forward calculation is made using an earthquake generation cycle simulation. From the simulation results, we estimate crustal deformation that can be compared with observations of the GNSS Earth Observation Network System (GEONET) on land and the Dense Ocean Floor Network for Earthquakes and Tsunamis (DONET) on the seafloor. We demonstrate a numerical test of this system using synthetic data of seafloor deformation before virtual Nankai earthquakes. We also use a real GEONET data set to compare the results of earthquake generation cycles.",

author = "Takane Hori and Shin'ichi Miyazaki and Mamoru Hyodo and Ryoko Nakata and Yoshiyuki Kaneda",

year = "2014",

month = jan,

day = "1",

doi = "10.11345/nctam.62.179",

language = "English",

volume = "62",

pages = "179--189",

journal = "Theoretical and Applied Mechanics",

issn = "1348-0693",

publisher = "Science Council of Japan",

}

TY - JOUR

T1 - Earthquake forecasting system based on sequential data assimilation of slip on the plate boundary

AU - Hori, Takane

AU - Miyazaki, Shin'ichi

AU - Hyodo, Mamoru

AU - Nakata, Ryoko

AU - Kaneda, Yoshiyuki

PY - 2014/1/1

Y1 - 2014/1/1

N2 - An earthquake forecasting system based on sequential data assimilation of slip on the plate boundary is constructed. Sequential Importance Sampling, a type of particle filter, is used for the data assimilation. A forward calculation is made using an earthquake generation cycle simulation. From the simulation results, we estimate crustal deformation that can be compared with observations of the GNSS Earth Observation Network System (GEONET) on land and the Dense Ocean Floor Network for Earthquakes and Tsunamis (DONET) on the seafloor. We demonstrate a numerical test of this system using synthetic data of seafloor deformation before virtual Nankai earthquakes. We also use a real GEONET data set to compare the results of earthquake generation cycles.

AB - An earthquake forecasting system based on sequential data assimilation of slip on the plate boundary is constructed. Sequential Importance Sampling, a type of particle filter, is used for the data assimilation. A forward calculation is made using an earthquake generation cycle simulation. From the simulation results, we estimate crustal deformation that can be compared with observations of the GNSS Earth Observation Network System (GEONET) on land and the Dense Ocean Floor Network for Earthquakes and Tsunamis (DONET) on the seafloor. We demonstrate a numerical test of this system using synthetic data of seafloor deformation before virtual Nankai earthquakes. We also use a real GEONET data set to compare the results of earthquake generation cycles.

UR - http://www.scopus.com/inward/record.url?scp=84902125982&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902125982&partnerID=8YFLogxK

U2 - 10.11345/nctam.62.179

DO - 10.11345/nctam.62.179

M3 - Article

AN - SCOPUS:84902125982

VL - 62

SP - 179

EP - 189

JO - Theoretical and Applied Mechanics

JF - Theoretical and Applied Mechanics

SN - 1348-0693

ER -