Details:

Journal Title:
Journal Of Geophysical Research: Solid Earth
Personal Author:
Sheehan, Anne F. ; Gusman, Aditya R. ; Satake, Kenji ;
Sheehan, Anne F. ; Gusman, Aditya R. ; Satake, Kenji ; Less -
NOAA Program & Office:
CIRES (Cooperative Institute for Research in Environmental Sciences) ;
Description:
We use tsunami waveforms recorded on deep water absolute pressure gauges (Deep‐ocean Assessment and Reporting of Tsunamis), coastal tide gauges, and a temporary array of seafloor differential pressure gauges (DPG) to study the tsunami generated by the 15 July 2009 magnitude 7.8 Dusky Sound, New Zealand, earthquake. We first use tsunami waveform inversion applied to Deep‐ocean Assessment and Reporting of Tsunamis seafloor pressure gauge and coastal tide gauge data to estimate the fault slip distribution of the Dusky Sound earthquake. This fault slip estimate is then used to generate synthetic tsunami waveforms at each of the DPG sites. DPG instruments are unfortunately not well calibrated, but comparison of the synthetic tsunami waveforms to those observed at each DPG site allows us to determine an appropriate amplitude scaling to apply. We next use progressive data assimilation of the amplitude‐scaled DPG observations to retrospectively forecast the Dusky Sound tsunami wavefields and find a good match between forecast and observed tsunami wavefields at the Charleston tide gauge station on the west coast of New Zealand's South Island. While an advantage of the data assimilation method is that no initial condition is needed, we find that our forecast is improved by merging tsunami forward modeling from a rapid W‐phase earthquake source solution with the data assimilation method.
Keywords:
[+]
Ocean Bottom
Tsunamis

Source:
JGR Solid Earth (2019). 124(1): 566-577
DOI:
https://doi.org/10.1029/2018JB016575
Document Type:
Journal Article ;
Rights Information:
Other
Compliance:
Submitted
Main Document Checksum:
[+]
urn:sha256:5dd27cff7e293fd4c5e3024297e6fe2ba91447e059e35937046a075e17092f33
File Type:

Supporting Files

• Seafloor pressure data

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