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ID 116234
Author
Igarashi, Yasuhiko The University of Tokyo
Hori, Takane Japan Agency for Marine-Earth Science and Technology
Murata, Shin The University of Tokyo
Sato, Kenichiro Japan Agency for Marine-Earth Science and Technology
Okada, Masato The University of Tokyo
Keywords
Tsunami prediction
Gaussian process
Cabled seafloor observatory
DONET
Nankai trough
Content Type
Journal Article
Description
We constructed a model to predict the maximum tsunami height by a Gaussian process (GP) that uses pressure gauge data from the Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) in the Nankai trough. We found a greatly improved generalization error of the maximum tsunami height by our prediction model. The error is about one third of that by a previous method, which tends to make larger predictions, especially for large tsunami heights (>10 m). These results indicate that GP enables us to get a more accurate prediction of tsunami height by using pressure gauge data.
Journal Title
Marine Geophysical Research
ISSN
00253235
15730581
NCID
AA00721573
Publisher
Springer Nature
Volume
37
Issue
4
Start Page
361
End Page
370
Published Date
2016-12-08
Rights
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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language
eng
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departments
Science and Technology