Toward Near‐Field Tsunami Forecasting Along the Cascadia Subduction Zone Using Rapid GNSS Source Models

Williamson, Amy L.; Melgar, Diego; Crowell, Brendan W.; Arcas, Diego; Melbourne, Timothy I.; Wei, Yong; Kwong, Kevin

doi:10.1029/2020jb019636

i

Toward Near‐Field Tsunami Forecasting Along the Cascadia Subduction Zone Using Rapid GNSS Source Models

Supporting Files

2020
By Williamson, Amy L. ; Melgar, Diego ; Crowell, Brendan W.
Source Journal of Geophysical Research: Solid Earth, 125(8)

[PDF - 16.64 MB]

Details

Journal Title:

Journal of Geophysical Research: Solid Earth
Personal Author:

Williamson, Amy L. ; Melgar, Diego ; Crowell, Brendan W. ; Arcas, Diego ; Melbourne, Timothy I. ; Wei, Yong ; Kwong, Kevin
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; PMEL (Pacific Marine Environmental Laboratory)
Description:

Over the past 15 years and through multiple large and devastating earthquakes, tsunami warning systems have grown considerably in their ef ﬁcacy in providing timely and accurate forecasts to affected communities. However, one part of tsunami warning that still needs improvement is forecasts catered to local, near ‐ﬁeld communities in the time after an earthquake rupture but before coastal inundation. In this study, we test a rapid, Global Navigation Satellite Systems (GNSS) ‐driven earthquake characterization model using a large data set of synthetic megathrust ruptures for its near ‐ﬁeld tsunami forecasting potential. We also provide a framework for tsunami forecasting that focuses on the likelihoodof exceedance of user ‐deﬁned coastal amplitudes that may be of use in the ﬁrst 15 min following an
Keywords:
Source:

Journal of Geophysical Research: Solid Earth, 125(8)
DOI:

https://doi.org/10.1029/2020jb019636
ISSN:

2169-9313 ; 2169-9356
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Funding:

Grant no. NA15OAR4320063
Rights Information:

Other
Compliance:

Library
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https://repository.library.noaa.gov/view/noaa/55061/noaa_55061_DS1.pdf
File Type:

[PDF - 16.64 MB]
Collection(s):

Office of Oceanic and Atmospheric Research (OAR)
Main Document Checksum:

urn:sha256:b035f76c2e32188fa3f1d40b7710f1915f286dde5cd1ec2d331215ffb3b82d6f

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