Effect of Water Compressibility, Sea-floor Elasticity, and Field Gravitational Potential on Tsunami Phase Speed

Abdolali, Ali; Kadri, Usama; Kirby, James T.

doi:10.1038/s41598-019-52475-0

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Effect of Water Compressibility, Sea-floor Elasticity, and Field Gravitational Potential on Tsunami Phase Speed

2019
By Abdolali, Ali ; Kadri, Usama ; Kirby, James T.
Source: Scientific Reports, 9(1), 16874.

[PDF-3.55 MB]

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Details:

Journal Title:

Scientific Reports
Personal Author:

Abdolali, Ali ; Kadri, Usama ; Kirby, James T.

Abdolali, Ali ; Kadri, Usama ; Kirby, James T. Less -
NOAA Program & Office:

NWS (National Weather Service) ; EMC (Environmental Modelling Center)

NWS (National Weather Service) ; EMC (Environmental Modelling Center) Less -
Description:

Tsunamis can propagate thousands of kilometres across the ocean. Precise calculations of arrival times are essential for reliable early warning systems, determination of source and earth properties using the inverse problem, and time series modulation due to frequency dependency of phase speed. Far field observatories show a systematic discrepancy between observed and calculated arrival times. Models in present use and based on incompressible hydrodynamics and interaction with a rigid ocean floor overestimate the phase speed of tsunamis, leading to arrival time differences exceeding tens of minutes. These models neglect the simultaneous effects of the slight compressibility of water, sea-bed elasticity, and static compression of the ocean under gravity, hereinafter gravity. Here, we show that taking these effects into account results in more accurate phase speeds and travel times that agree with observations. Moreover, the semi-analytical model that we propose can be employed near real-time, which is essential for early warning inverse models and mitigation systems that rely on accurate phase speed calculations.
Source:

Scientific Reports, 9(1), 16874.
DOI:

https://doi.org/10.1038/s41598-019-52475-0
Document Type:

Journal Article
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:e84954b655d47595e32955ca19074670346566cf661f1f9a7117eb1d95f16655
Download URL:

https://repository.library.noaa.gov/view/noaa/22074/noaa_22074_DS1.pdf
File Type:

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pdf

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