Data assimilation with dispersive tsunami model: a test for the Nankai Trough

Abstract We present a method of tsunami data assimilation using a linear dispersive model in order to provide an accurate tsunami early warning. To speed up the assimilation process, we use the Green’s function-based tsunami data assimilation, in which the Green’s functions are calculated in advance...

Full description

Bibliographic Details
Main Authors: Yuchen Wang, Kenji Satake, Takuto Maeda, Aditya Riadi Gusman
Format: Article
Language:English
Published: SpringerOpen 2018-08-01
Series:Earth, Planets and Space
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40623-018-0905-6
_version_ 1818287584991772672
author Yuchen Wang
Kenji Satake
Takuto Maeda
Aditya Riadi Gusman
author_facet Yuchen Wang
Kenji Satake
Takuto Maeda
Aditya Riadi Gusman
author_sort Yuchen Wang
collection DOAJ
description Abstract We present a method of tsunami data assimilation using a linear dispersive model in order to provide an accurate tsunami early warning. To speed up the assimilation process, we use the Green’s function-based tsunami data assimilation, in which the Green’s functions are calculated in advance with linear dispersive tsunami propagation models. We demonstrate a test case in the Nankai Trough off southwest Japan, with a source model similar to the main shock of the 2004 off the Kii Peninsula earthquake (M7.4) which generated tsunamis with dispersive characteristics. We show that assimilation of existing ocean bottom pressure gauge data can rapidly forecast the tsunami arrival time and the maximum height of the first tsunami peak along the coast of Shikoku and Kyushu Islands. Both the linear long-wave model and the linear dispersive model can accurately forecast the tsunami height, but the linear dispersive model can predict the tsunami arrival time more accurately for the tested earthquake.
first_indexed 2024-12-13T01:42:49Z
format Article
id doaj.art-3d919355afab483f8f4cf9e7197add46
institution Directory Open Access Journal
issn 1880-5981
language English
last_indexed 2024-12-13T01:42:49Z
publishDate 2018-08-01
publisher SpringerOpen
record_format Article
series Earth, Planets and Space
spelling doaj.art-3d919355afab483f8f4cf9e7197add462022-12-22T00:03:42ZengSpringerOpenEarth, Planets and Space1880-59812018-08-017011910.1186/s40623-018-0905-6Data assimilation with dispersive tsunami model: a test for the Nankai TroughYuchen Wang0Kenji Satake1Takuto Maeda2Aditya Riadi Gusman3Earthquake Research Institute, The University of TokyoEarthquake Research Institute, The University of TokyoEarthquake Research Institute, The University of TokyoEarthquake Research Institute, The University of TokyoAbstract We present a method of tsunami data assimilation using a linear dispersive model in order to provide an accurate tsunami early warning. To speed up the assimilation process, we use the Green’s function-based tsunami data assimilation, in which the Green’s functions are calculated in advance with linear dispersive tsunami propagation models. We demonstrate a test case in the Nankai Trough off southwest Japan, with a source model similar to the main shock of the 2004 off the Kii Peninsula earthquake (M7.4) which generated tsunamis with dispersive characteristics. We show that assimilation of existing ocean bottom pressure gauge data can rapidly forecast the tsunami arrival time and the maximum height of the first tsunami peak along the coast of Shikoku and Kyushu Islands. Both the linear long-wave model and the linear dispersive model can accurately forecast the tsunami height, but the linear dispersive model can predict the tsunami arrival time more accurately for the tested earthquake.http://link.springer.com/article/10.1186/s40623-018-0905-6Tsunami forecastingData assimilationLinear dispersive modelLinear long-wave model
spellingShingle Yuchen Wang
Kenji Satake
Takuto Maeda
Aditya Riadi Gusman
Data assimilation with dispersive tsunami model: a test for the Nankai Trough
Earth, Planets and Space
Tsunami forecasting
Data assimilation
Linear dispersive model
Linear long-wave model
title Data assimilation with dispersive tsunami model: a test for the Nankai Trough
title_full Data assimilation with dispersive tsunami model: a test for the Nankai Trough
title_fullStr Data assimilation with dispersive tsunami model: a test for the Nankai Trough
title_full_unstemmed Data assimilation with dispersive tsunami model: a test for the Nankai Trough
title_short Data assimilation with dispersive tsunami model: a test for the Nankai Trough
title_sort data assimilation with dispersive tsunami model a test for the nankai trough
topic Tsunami forecasting
Data assimilation
Linear dispersive model
Linear long-wave model
url http://link.springer.com/article/10.1186/s40623-018-0905-6
work_keys_str_mv AT yuchenwang dataassimilationwithdispersivetsunamimodelatestforthenankaitrough
AT kenjisatake dataassimilationwithdispersivetsunamimodelatestforthenankaitrough
AT takutomaeda dataassimilationwithdispersivetsunamimodelatestforthenankaitrough
AT adityariadigusman dataassimilationwithdispersivetsunamimodelatestforthenankaitrough